Although Manchester purchased 942 Main St. for $1.75M this year, the town has two more tenants to negotiate with before the planned demolition of the building.

Manchester still negotiating relocation of businesses from Tong Building so it can be redeveloped

Customer delays have been a recurring issue for MasTec this year, and the stock is now more than 60% below its highs for 2023. The delays are also going to prevent MasTec from reaching its deleveraging goal by year's end.

Why MasTec Stock Is Crumbling Today

MasTec (MTZ) stock plunges 22% after missing Q3 earnings and revenue estimates while downgrading its full-year forecast, citing delays in projects and

MasTec tumbles to multiyear low after cutting guidance for earnings, revenues

MasTec Inc (NYSE: MTZ) shares are trading lower by 21.3% to $46.81 Wednesday morning after the company reported third-quarter results and cut their full year 2023 revenue and EPS outlook. What Happened?

Why MasTec (MTZ) Stock Is Getting Hammered Wednesday

The country’s third-largest commercial contractor shut down the plant following a pause in work on a major battery facility in the area.

MasTec closes Rochester, New York, plant

Shares of MasTec tumbled after the contractor said it was hit in the third quarter by further project delays, especially of clean-energy projects, prompting the company to cut its full-year forecasts. The stock fell 24% to $45.47 in morning trading.

MasTec Shares Drop 24%, Pressured by Project Delays

MasTec Inc reported Q3 2023 revenue of $3.26 billion, up from $2.51 billion in Q3 2022. Net income for the quarter was $14.3 million, a significant decrease from $48.9 million in

MasTec Inc (MTZ) Reports Q3 2023 Earnings, Updates Full Year Guidance

Asia-Pacific equity markets finished the day higher except for India’s SENSEX which declined 0.44% ahead of today’s Fed rate decision while Hong Kong’s Hang Seng closed close to flat, down a mere 0.06%.

Daily Markets: Packed Day Ahead for Investors

MasTec, Inc. (NYSE: MTZ) today announced 2023 third quarter financial results and updated its full year 2023 guidance expectations. Management has

MasTec, Inc.: MasTec Announces Third Quarter 2023 Financial Results and Updates Guidance for the Year

MILFORD — A number of major construction projects around the state have put a charge into a Milford-based electrical supply company, which recently celebrated its move into a larger space after a record-breaking year.

With rising sales, Milford electrical distributor settles into larger location

MasTec

mastec

Mastering Custom Render Objects in Flutter

Dash is a powerful character on our keyboards, paper, and lives. I read somewhere that Dash defines our life journey. What a powerful and provoking thought and perspective. On our tombstone, we see the dash between our birth and death. What we did, how we lived, and how we spent our time are all inside that dash. It represents every memory we make and every decision we take. We can think of this dash as a journey rather than just a line between the start and the end. It is about everything in between. Today, I found myself lost in thoughts about that dash. It’s such a small, almost insignificant mark, yet it holds the weight of a lifetime — if one considers that perspective. This is so strange that something so simple can represent something as complex as a human life. It makes me wonder: Am I filling that dash with moments that matter? Dash That Matters I’ve always been fascinated by history, by the lives of people who came before us. Philosophers, artists, leaders — they left their marks on the world. Their dashes are overflowing with influence and legacy. But what about the ordinary people whose names we don’t know? They had dreams, too, desires and struggles, victories and heartbreaks. Just because we don’t remember their names should not mean their dashes were less meaningful. I’m spending too much time planning for the future, especially with all the preparations for the UPSC exams. So much of my day is consumed with goals, deadlines, and study hours. I feel as though I’m constantly chasing something ahead of me. I know it’s necessary. I believe it’s worth it, but every now and then, I worry that I’m not fully appreciating the present moment. It’s easy to get caught up in the idea that life will begin once I… achieve something
pass the exams
reach my goals. But I don’t want my life to feel like a series of checkboxes on a to-do app. I want it to be a journey I’m experiencing, a story with moments of laughter, reflection, growth, and connection. Sometimes, my mind thinks, What if I spent more time creating small memories? Not the grand ones, but the small ones. Memories can be as small as a quiet walk at sunrise, a conversation with a friend, or reading a book I like. The most meaningful moments in life are the ones we don’t expect. The ones that don’t come with an agenda. Those moments where we’re just ‘present’. In all honesty, I don’t need to change the world. But I do want to feel that my dash will represent a life that has depth and is true to who I am and what I believe. A life filled with thoughtfulness, kindness, resilience, and curiosity. I want to look back someday and see that I lived with a purpose, even if that purpose was too simple. A quote: True happiness is only possible when we stop chasing it. The writer talks about how peace comes from within, from living in harmony with oneself. It’s tempting to think happiness lies in achieving more or reaching that next stage. But maybe it’s in simply being here, making the most of today, and choosing to focus on what matters most. And maybe what matters most are the little things. The choices I make each day, the dedication I put into my work, the curiosity I foster for learning — all these little actions build up into something more significant over time. They are the quiet pieces that shape the story of my dash, even if no one else ever notices them. The UPSC exams are part of my journey, a piece of the dash I’m building, and that’s why I’m dedicating so much time and energy to them. But I also want to make sure I don’t lose sight of who I am in the process. I want my studies to be more than just preparation. I want them to deepen my understanding of the world and myself. So maybe that’s what my dash will look like a life of learning,
of striving to understand and connect,
of small acts of kindness, and
a journey toward self-discovery. No one knows what the end of my story will look like. But I know that I want the journey to be meaningful. I want to fill that dash with as much life, love, and purpose as possible. Let us fill our dashes and others with happiness, joy and success. Read my other Musings. Follow me on Medium also. Dash is a powerful character on our keyboards, paper, and lives. I read somewhere that Dash defines our life journey. What a powerful and provoking thought and perspective. On our tombstone, we see the dash between our birth and death. What we did, how we lived, and how we spent our time are all inside that dash. It represents every memory we make and every decision we take. We can think of this dash as a journey rather than just a line between the start and the end. It is about everything in between. Today, I found myself lost in thoughts about that dash. It’s such a small, almost insignificant mark, yet it holds the weight of a lifetime — if one considers that perspective. This is so strange that something so simple can represent something as complex as a human life. It makes me wonder: Am I filling that dash with moments that matter? Dash That Matters I’ve always been fascinated by history, by the lives of people who came before us. Philosophers, artists, leaders — they left their marks on the world. Their dashes are overflowing with influence and legacy. But what about the ordinary people whose names we don’t know? They had dreams, too, desires and struggles, victories and heartbreaks. Just because we don’t remember their names should not mean their dashes were less meaningful. I’m spending too much time planning for the future, especially with all the preparations for the UPSC exams. So much of my day is consumed with goals, deadlines, and study hours. I feel as though I’m constantly chasing something ahead of me. I know it’s necessary. I believe it’s worth it, but every now and then, I worry that I’m not fully appreciating the present moment. It’s easy to get caught up in the idea that life will begin once I… achieve something pass the exams reach my goals. achieve something pass the exams reach my goals. But I don’t want my life to feel like a series of checkboxes on a to-do app. I want it to be a journey I’m experiencing, a story with moments of laughter, reflection, growth, and connection. Sometimes, my mind thinks, What if I spent more time creating small memories? Not the grand ones, but the small ones. Memories can be as small as a quiet walk at sunrise, a conversation with a friend, or reading a book I like. The most meaningful moments in life are the ones we don’t expect. The ones that don’t come with an agenda. Those moments where we’re just ‘present’ . ‘present’ ‘present’ In all honesty, I don’t need to change the world. But I do want to feel that my dash will represent a life that has depth and is true to who I am and what I believe. A life filled with thoughtfulness, kindness, resilience, and curiosity. I want to look back someday and see that I lived with a purpose, even if that purpose was too simple. A quote: True happiness is only possible when we stop chasing it. True happiness is only possible when we stop chasing it. The writer talks about how peace comes from within, from living in harmony with oneself. It’s tempting to think happiness lies in achieving more or reaching that next stage. But maybe it’s in simply being here, making the most of today, and choosing to focus on what matters most. And maybe what matters most are the little things. The choices I make each day, the dedication I put into my work, the curiosity I foster for learning — all these little actions build up into something more significant over time. They are the quiet pieces that shape the story of my dash, even if no one else ever notices them. The UPSC exams are part of my journey, a piece of the dash I’m building, and that’s why I’m dedicating so much time and energy to them. But I also want to make sure I don’t lose sight of who I am in the process. I want my studies to be more than just preparation. I want them to deepen my understanding of the world and myself. So maybe that’s what my dash will look like a life of learning, of striving to understand and connect, of small acts of kindness, and a journey toward self-discovery. of learning, of striving to understand and connect, of small acts of kindness, and a journey toward self-discovery. No one knows what the end of my story will look like. But I know that I want the journey to be meaningful. I want to fill that dash with as much life, love, and purpose as possible. Let us fill our dashes and others with happiness, joy and success. Let us fill our dashes and others with happiness, joy and success. Read my other Musings . Musings Follow me on Medium also. Medium

Mastering the Dash: How It's the Journey That Defines Your Life

Mastering Process Documentation: The Ultimate Guide to Building a High-Performing Team

As a Java developer, most of my focus is on the backend side of debugging. Front-end debugging poses different challenges and has sophisticated tools of its own. Unfortunately, print-based debugging has become the norm in front-end. To be fair, it makes more sense there as the cycles are different and the problem is always a single-user problem. But even if you choose to use Console.log, there’s a lot of nuance to pick up there. The links in this article include affiliate links to Amazon. You won’t be charged anything extra for clicking on these links, but you will be supporting me if you do choose to purchase something through one of these links. Thanks! https://youtu.be/1KFlbecOmc0?embedable=true As a side note, if you like the content of this and the other posts in this series check out my Debugging book that covers this subject. If you have friends that are learning to code I'd appreciate a reference to my Java Basics book. If you want to get back to Java after a while check out my Java 8 to 21 book. Instant Debugging with the debugger Keyword A cool yet powerful tool in JavaScript is the debugger keyword. Instead of simply printing a stack trace, we can use this keyword to launch the debugger directly at the line of interest. That is a fantastic tool that instantly brings your attention to a bug, I often use it in my debug builds of the front-end instead of just printing an error log. How to Use It: Place the debugger keyword within your code, particularly within error-handling methods. When the code execution hits this line, it automatically pauses, allowing you to inspect the current state, step through code, and understand what's going wrong. Notice that while this is incredibly useful during development, we must remember to remove or conditionally exclude debugger statements in production environments. A release build should not include these calls in a production site live environment. Triggering Debugging from the Console Modern browsers allow you to invoke debugging directly from the console, adding an additional layer of flexibility to your debugging process. Example: By using the debug(functionName) command in the console, you can set a breakpoint at the start of the specified function. When this function is subsequently invoked, the execution halts, sending you directly into the debugger. function hello(name) {
    Console.log("Hello " + name)
}
debug(hello)
hello("Shai") This is particularly useful when you want to start debugging without modifying the source code, or when you need to inspect a function that’s only defined in the global scope. DOM Breakpoints: Monitoring DOM Changes DOM breakpoints are an advanced feature in Chrome and Firebug (Firefox plugin) that allows you to pause execution when a specific part of the DOM is altered. To use it we can right-click on the desired DOM element, select “Break On,” and choose the specific mutation type you are interested in (e.g., subtree modifications, attribute changes, etc.). DOM breakpoints are extremely powerful for tracking down issues where DOM manipulation causes unexpected results, such as dynamic content loading or changes in the user interface that disrupt the intended layout or functionality. Think of them like field breakpoints we discussed in the past. These breakpoints complement traditional line and conditional breakpoints, providing a more granular approach to debugging complex front-end issues. This is a great tool to use when the DOM is manipulated by an external dependency. XHR Breakpoints: Uncovering Hidden Network Calls Understanding who initiates specific network requests can be challenging, especially in large applications with multiple sources contributing to a request. XHR (XMLHttpRequest) breakpoints provide a solution to this problem. In Chrome or Firebug, set an XHR breakpoint by specifying a substring of the URI you wish to monitor. When a request matching this pattern is made, the execution stops, allowing you to investigate the source of the request. This tool is invaluable when dealing with dynamically generated URIs or complex flows where tracking the origin of a request is not straightforward. Notice that you should be selective with the filters you set; leaving the filter blank will cause the breakpoint to trigger on all XHR requests, which can become overwhelming. Simulating Environments for Debugging Sometimes, the issues you need to debug are specific to certain environments, such as mobile devices or different geographical locations. Chrome and Firefox offer several simulation tools to help you replicate these conditions on your desktop. Simulating User Agents: Change the browser’s user agent to mimic different devices or operating systems. This can help you identify platform-specific issues or debug server-side content delivery that varies by user agent.


Geolocation Spoofing: Modify the browser’s reported location to test locale-specific features or issues. This is particularly useful for applications that deliver region-specific content or services.


Touch and Device Orientation Emulation: Simulate touch events or change the device orientation to see how your application responds to mobile-specific interactions. This is crucial for ensuring a seamless user experience across all devices. These are things that are normally very difficult to reproduce. E.g. touch related issues are often challenging to debug on the device. By simulating them on the desktop browser we can shorten the debug cycle and use the tooling available on the desktop. Debugging Layout and Style Issues CSS and HTML bugs can be particularly tricky, often requiring a detailed examination of how elements are rendered and styled. Inspect Element: The "inspect element" tool is the cornerstone of front-end debugging, allowing you to view and manipulate the DOM and CSS in real-time. As you make changes, the page updates instantly, providing immediate feedback on your tweaks.


Addressing Specificity Issues: One common problem is CSS specificity, where a more specific selector overrides the styles you intend to apply. The inspect element view highlights overridden styles, helping you identify and resolve conflicts.


Firefox vs. Chrome: While both browsers offer robust tools, they have different approaches to organizing these features. Firefox’s interface may seem more straightforward, with fewer tabs, while Chrome organizes similar tools under various tabs, which can either streamline your workflow or add complexity, depending on your preference. Final Word There are many front-end tools that I want to discuss in the coming posts. I hope you picked up a couple of new debugging tricks in this first part. Front-end debugging requires a deep understanding of browser tools and JavaScript capabilities. By mastering the techniques outlined in this post—instant debugging with the debugger keyword, DOM and XHR breakpoints, environment simulation, and layout inspection—you can significantly enhance your debugging efficiency and deliver more robust, error-free web applications. As a Java developer, most of my focus is on the backend side of debugging. Front-end debugging poses different challenges and has sophisticated tools of its own. Unfortunately, print-based debugging has become the norm in front-end. To be fair, it makes more sense there as the cycles are different and the problem is always a single-user problem. But even if you choose to use Console.log , there’s a lot of nuance to pick up there. Console.log The links in this article include affiliate links to Amazon. You won’t be charged anything extra for clicking on these links, but you will be supporting me if you do choose to purchase something through one of these links. Thanks! The links in this article include affiliate links to Amazon. You won’t be charged anything extra for clicking on these links, but you will be supporting me if you do choose to purchase something through one of these links. Thanks! https://youtu.be/1KFlbecOmc0?embedable=true https://youtu.be/1KFlbecOmc0?embedable=true As a side note, if you like the content of this and the other posts in this series check out my Debugging book that covers this subject. If you have friends that are learning to code I'd appreciate a reference to my Java Basics book. If you want to get back to Java after a while check out my Java 8 to 21 book. As a side note, if you like the content of this and the other posts in this series check out my Debugging book that covers t his subject. If you have friends that are learning to code I'd appreciate a reference to my Java Basics book. If you want to get back to Java after a while check out my Java 8 to 21 book . Debugging book t Java Basics book. Java 8 to 21 book . Instant Debugging with the debugger Keyword Instant Debugging with the debugger A cool yet powerful tool in JavaScript is the debugger keyword. Instead of simply printing a stack trace, we can use this keyword to launch the debugger directly at the line of interest. That is a fantastic tool that instantly brings your attention to a bug, I often use it in my debug builds of the front-end instead of just printing an error log. debugger How to Use It: Place the debugger keyword within your code, particularly within error-handling methods. When the code execution hits this line, it automatically pauses, allowing you to inspect the current state, step through code, and understand what's going wrong. How to Use It: debugger Notice that while this is incredibly useful during development, we must remember to remove or conditionally exclude debugger statements in production environments. A release build should not include these calls in a production site live environment. debugger Triggering Debugging from the Console Triggering Debugging from the Console Modern browsers allow you to invoke debugging directly from the console, adding an additional layer of flexibility to your debugging process. Example: By using the debug(functionName) command in the console, you can set a breakpoint at the start of the specified function. When this function is subsequently invoked, the execution halts, sending you directly into the debugger. Example: debug(functionName) function hello(name) {
    Console.log("Hello " + name)
}
debug(hello)
hello("Shai") function hello(name) {
    Console.log("Hello " + name)
}
debug(hello)
hello("Shai") This is particularly useful when you want to start debugging without modifying the source code, or when you need to inspect a function that’s only defined in the global scope. DOM Breakpoints: Monitoring DOM Changes DOM Breakpoints: Monitoring DOM Changes DOM breakpoints are an advanced feature in Chrome and Firebug (Firefox plugin) that allows you to pause execution when a specific part of the DOM is altered. To use it we can right-click on the desired DOM element, select “Break On,” and choose the specific mutation type you are interested in (e.g., subtree modifications, attribute changes, etc.). DOM breakpoints are extremely powerful for tracking down issues where DOM manipulation causes unexpected results, such as dynamic content loading or changes in the user interface that disrupt the intended layout or functionality. Think of them like field breakpoints we discussed in the past. These breakpoints complement traditional line and conditional breakpoints, providing a more granular approach to debugging complex front-end issues. This is a great tool to use when the DOM is manipulated by an external dependency. XHR Breakpoints: Uncovering Hidden Network Calls XHR Breakpoints: Uncovering Hidden Network Calls Understanding who initiates specific network requests can be challenging, especially in large applications with multiple sources contributing to a request. XHR ( XMLHttpRequest ) breakpoints provide a solution to this problem. XMLHttpRequest In Chrome or Firebug, set an XHR breakpoint by specifying a substring of the URI you wish to monitor. When a request matching this pattern is made, the execution stops, allowing you to investigate the source of the request. This tool is invaluable when dealing with dynamically generated URIs or complex flows where tracking the origin of a request is not straightforward. Notice that you should be selective with the filters you set; leaving the filter blank will cause the breakpoint to trigger on all XHR requests, which can become overwhelming. Simulating Environments for Debugging Simulating Environments for Debugging Sometimes, the issues you need to debug are specific to certain environments, such as mobile devices or different geographical locations. Chrome and Firefox offer several simulation tools to help you replicate these conditions on your desktop. Simulating User Agents: Change the browser’s user agent to mimic different devices or operating systems. This can help you identify platform-specific issues or debug server-side content delivery that varies by user agent. Geolocation Spoofing: Modify the browser’s reported location to test locale-specific features or issues. This is particularly useful for applications that deliver region-specific content or services. Touch and Device Orientation Emulation: Simulate touch events or change the device orientation to see how your application responds to mobile-specific interactions. This is crucial for ensuring a seamless user experience across all devices. Simulating User Agents: Change the browser’s user agent to mimic different devices or operating systems. This can help you identify platform-specific issues or debug server-side content delivery that varies by user agent. Simulating User Agents: Change the browser’s user agent to mimic different devices or operating systems. This can help you identify platform-specific issues or debug server-side content delivery that varies by user agent. Simulating User Agents: Geolocation Spoofing: Modify the browser’s reported location to test locale-specific features or issues. This is particularly useful for applications that deliver region-specific content or services. Geolocation Spoofing: Modify the browser’s reported location to test locale-specific features or issues. This is particularly useful for applications that deliver region-specific content or services. Geolocation Spoofing: Touch and Device Orientation Emulation: Simulate touch events or change the device orientation to see how your application responds to mobile-specific interactions. This is crucial for ensuring a seamless user experience across all devices. Touch and Device Orientation Emulation: Simulate touch events or change the device orientation to see how your application responds to mobile-specific interactions. This is crucial for ensuring a seamless user experience across all devices. Touch and Device Orientation Emulation: These are things that are normally very difficult to reproduce. E.g. touch related issues are often challenging to debug on the device. By simulating them on the desktop browser we can shorten the debug cycle and use the tooling available on the desktop. Debugging Layout and Style Issues Debugging Layout and Style Issues CSS and HTML bugs can be particularly tricky, often requiring a detailed examination of how elements are rendered and styled. Inspect Element: The "inspect element" tool is the cornerstone of front-end debugging, allowing you to view and manipulate the DOM and CSS in real-time. As you make changes, the page updates instantly, providing immediate feedback on your tweaks. Addressing Specificity Issues: One common problem is CSS specificity, where a more specific selector overrides the styles you intend to apply. The inspect element view highlights overridden styles, helping you identify and resolve conflicts. Firefox vs. Chrome: While both browsers offer robust tools, they have different approaches to organizing these features. Firefox’s interface may seem more straightforward, with fewer tabs, while Chrome organizes similar tools under various tabs, which can either streamline your workflow or add complexity, depending on your preference. Inspect Element: The "inspect element" tool is the cornerstone of front-end debugging, allowing you to view and manipulate the DOM and CSS in real-time. As you make changes, the page updates instantly, providing immediate feedback on your tweaks. Inspect Element: The "inspect element" tool is the cornerstone of front-end debugging, allowing you to view and manipulate the DOM and CSS in real-time. As you make changes, the page updates instantly, providing immediate feedback on your tweaks. Inspect Element: Addressing Specificity Issues: One common problem is CSS specificity, where a more specific selector overrides the styles you intend to apply. The inspect element view highlights overridden styles, helping you identify and resolve conflicts. Addressing Specificity Issues: One common problem is CSS specificity, where a more specific selector overrides the styles you intend to apply. The inspect element view highlights overridden styles, helping you identify and resolve conflicts. Addressing Specificity Issues: Firefox vs. Chrome: While both browsers offer robust tools, they have different approaches to organizing these features. Firefox’s interface may seem more straightforward, with fewer tabs, while Chrome organizes similar tools under various tabs, which can either streamline your workflow or add complexity, depending on your preference. Firefox vs. Chrome: While both browsers offer robust tools, they have different approaches to organizing these features. Firefox’s interface may seem more straightforward, with fewer tabs, while Chrome organizes similar tools under various tabs, which can either streamline your workflow or add complexity, depending on your preference. Firefox vs. Chrome: Final Word There are many front-end tools that I want to discuss in the coming posts. I hope you picked up a couple of new debugging tricks in this first part. Front-end debugging requires a deep understanding of browser tools and JavaScript capabilities. By mastering the techniques outlined in this post—instant debugging with the debugger keyword, DOM and XHR breakpoints, environment simulation, and layout inspection—you can significantly enhance your debugging efficiency and deliver more robust, error-free web applications. debugger

Mastering Front End Debugging—Part 1: From Console Logs to Advanced Techniques 

Online data is growing exponentially every day. Businesses must stay ahead of the curve and be competitive, which can be achieved by steering away from traditional. Information should be available to executives as early as possible to keep the edge. Ensuring the data is transmitted correctly and reliably every time can be tricky. It is also critical for businesses to have access to the data across all departments. It is essential to process the data as soon as it comes in to make it quicker to turn data into insights. Apache Kafka, along with Apache Kafka Streams or Apache Flink, is turning out to be the best bet for processing, storing, and making streaming data readily available across different business units. Apache Kafka at the Core A key element in today's data streaming infrastructure is Kafka Queues. It is an effective messaging system that follows a publish-and-subscribe approach and is well known for its dependability and ability to withstand faults gracefully. This system is expertly designed to handle message volumes, per second and supports applications that rely on real-time data streaming. Apache Kafka data queues are essential for tailoring to diverse industry requirements. Kafka supports different industry scenarios, especially real-time data streaming, and ensures data accessibility for business functions. In the case of real-time streaming data, each data event can be treated as a single segment, parsed to various topics, and stored on Kafka servers. e.g., for a grocery store chain, a user e-commerce transaction can be parsed into user details, grocery store location, amount of transaction, inventory sold, and all of this in a fraction of seconds of the event, enabling the business to run analytics on a live-stream of data and re-route the exhausting inventory to the appropriate store thereby making sure stores needing more stock has it than it is sitting idle on the shelf for other stores. Apache Kafka's role extends beyond real-time streaming data. It is a vital pillar in integrating data infrastructure between business units or company mergers/acquisitions. Instead of copying data multiple times, Kafka serves as a central hub where all business components can produce data (Producers), and the business units that need it can consume it (Consumers). Kafka as a central data store helps avoid the need for repetitive engineering work by different business units to consume the same data and if needed modify on the fly using Kafka Streams or Flink thereby simplifying the data integration process. With the introduction of KRAFT in Apache Kafka, eliminating the need for a quorum manager zookeeper cluster, the cost of operating Kafka queues is even less with the same performance. Reliability, Scalability, and Security The challenge extends beyond speed; reliability, scalability, and security are equally vital. Data transmission systems should be designed for speed but other aspects of the systems can not be underestimated. These systems are required to ensure reliable delivery of millions of messages. Furthermore, scalability is imperative to handle the increasing data volumes. Reliability: A system that is high-speed but not reliable is of no use. An effective system requires monitoring and automating recovery procedures while also planning to handle the increasing amount of data effectively. It is crucial for reliability to detect and address issues before they worsen through monitoring. A monitoring strategy covering all aspects from hardware to software, to business operations, is essential. Kafka is a memory-hogging system, and enough memory should be available, as without it, the system will default to an operating system swap, thereby degrading performance. On the software level, fault tolerance is essential, which can be achieved by ensuring a minimum replication factor of three (three copies of data in a cluster). Rack diversity ensures that all three copies of data are on different rack nodes in the Kafka Cluster, thereby reducing the risk of data loss in case of a rack failure. Auto rebalancing of data based on cluster performance can be achieved using Kafka Cruise Control based on various target thresholds e.g., network bandwidth and the number of messages in or out. In the business process, enough monitoring should be added to ensure producer and consumer instances are live and able to communicate with Kafka brokers. Multiple instances of producer and consumer applications need to be implemented to ensure high availability. Scalability: The Kafka clusters must be able to handle parallel processing for both reading and writing. If the cluster struggles to keep up with read requests, it needs more resources per server - Vertical Scaling. This means using higher CPU and RAM configuration servers to handle the increased workload. If the cluster is having difficulty handling write requests, the cluster needs additional servers - Horizontal Scaling. This involves adding more servers to the cluster to share the workload. Kafka is a distributed system, scaling vertically or horizontally is a transparent operation for applications as long as applications have implemented retry on certain errors. Security: In today's digital world, data security is a top priority. Data must be encrypted at rest and in transit using the TLS protocol in Kafka. Robust user access control can be established as a two-step process using the Authentication and Authorization approach to ensure secure access. For the first step, Kafka offers multiple authentication mechanisms such as mutual TLS (mTLS) and Simple Authentication and Security Layer (SASL) to ensure that only permitted applications can authenticate to the cluster. mTLS encryption makes sure that both the client and the server authenticate each other, while SASL provides a framework for adding authentication support to connection-based protocols. For the second step, Kafka offers authorization on a topic level with appropriate privileges, such as read or write access. Overall, the Apache Kafka Ecosystem provides robust data infrastructure for processing and securely storing live data while making it readily available for all business units without reinventing the wheel of data processing. Online data is growing exponentially every day. Businesses must stay ahead of the curve and be competitive, which can be achieved by steering away from traditional. Information should be available to executives as early as possible to keep the edge. Ensuring the data is transmitted correctly and reliably every time can be tricky. It is also critical for businesses to have access to the data across all departments. It is essential to process the data as soon as it comes in to make it quicker to turn data into insights. Apache Kafka, along with Apache Kafka Streams or Apache Flink, is turning out to be the best bet for processing, storing, and making streaming data readily available across different business units. Apache Kafka at the Core Apache Kafka at the Core A key element in today's data streaming infrastructure is Kafka Queues. It is an effective messaging system that follows a publish-and-subscribe approach and is well known for its dependability and ability to withstand faults gracefully. This system is expertly designed to handle message volumes, per second and supports applications that rely on real-time data streaming. Apache Kafka data queues are essential for tailoring to diverse industry requirements. Kafka supports different industry scenarios, especially real-time data streaming, and ensures data accessibility for business functions. In the case of real-time streaming data, each data event can be treated as a single segment, parsed to various topics, and stored on Kafka servers. e.g., for a grocery store chain, a user e-commerce transaction can be parsed into user details, grocery store location, amount of transaction, inventory sold, and all of this in a fraction of seconds of the event, enabling the business to run analytics on a live-stream of data and re-route the exhausting inventory to the appropriate store thereby making sure stores needing more stock has it than it is sitting idle on the shelf for other stores. Apache Kafka's role extends beyond real-time streaming data. It is a vital pillar in integrating data infrastructure between business units or company mergers/acquisitions. Instead of copying data multiple times, Kafka serves as a central hub where all business components can produce data (Producers), and the business units that need it can consume it (Consumers). Kafka as a central data store helps avoid the need for repetitive engineering work by different business units to consume the same data and if needed modify on the fly using Kafka Streams or Flink thereby simplifying the data integration process. With the introduction of KRAFT in Apache Kafka, eliminating the need for a quorum manager zookeeper cluster, the cost of operating Kafka queues is even less with the same performance. Reliability, Scalability, and Security Reliability, Scalability, and Security The challenge extends beyond speed; reliability, scalability, and security are equally vital. Data transmission systems should be designed for speed but other aspects of the systems can not be underestimated. These systems are required to ensure reliable delivery of millions of messages. Furthermore, scalability is imperative to handle the increasing data volumes. Reliability: Reliability: A system that is high-speed but not reliable is of no use. An effective system requires monitoring and automating recovery procedures while also planning to handle the increasing amount of data effectively. It is crucial for reliability to detect and address issues before they worsen through monitoring. A monitoring strategy covering all aspects from hardware to software, to business operations, is essential. Kafka is a memory-hogging system, and enough memory should be available, as without it, the system will default to an operating system swap, thereby degrading performance. On the software level, fault tolerance is essential, which can be achieved by ensuring a minimum replication factor of three (three copies of data in a cluster). Rack diversity ensures that all three copies of data are on different rack nodes in the Kafka Cluster, thereby reducing the risk of data loss in case of a rack failure. Auto rebalancing of data based on cluster performance can be achieved using Kafka Cruise Control based on various target thresholds e.g., network bandwidth and the number of messages in or out. In the business process, enough monitoring should be added to ensure producer and consumer instances are live and able to communicate with Kafka brokers. Multiple instances of producer and consumer applications need to be implemented to ensure high availability. Scalability: Scalability: The Kafka clusters must be able to handle parallel processing for both reading and writing. If the cluster struggles to keep up with read requests, it needs more resources per server - Vertical Scaling. This means using higher CPU and RAM configuration servers to handle the increased workload. If the cluster is having difficulty handling write requests, the cluster needs additional servers - Horizontal Scaling. This involves adding more servers to the cluster to share the workload. Kafka is a distributed system, scaling vertically or horizontally is a transparent operation for applications as long as applications have implemented retry on certain errors. Security: Security: In today's digital world, data security is a top priority. Data must be encrypted at rest and in transit using the TLS protocol in Kafka. Robust user access control can be established as a two-step process using the Authentication and Authorization approach to ensure secure access. For the first step, Kafka offers multiple authentication mechanisms such as mutual TLS (mTLS) and Simple Authentication and Security Layer (SASL) to ensure that only permitted applications can authenticate to the cluster. mTLS encryption makes sure that both the client and the server authenticate each other, while SASL provides a framework for adding authentication support to connection-based protocols. For the second step, Kafka offers authorization on a topic level with appropriate privileges, such as read or write access. Overall, the Apache Kafka Ecosystem provides robust data infrastructure for processing and securely storing live data while making it readily available for all business units without reinventing the wheel of data processing.

Mastering the Complexity of High-Volume Data Transmission in the Digital Age

React has solidified its position as a powerhouse for building dynamic and interactive user interfaces. In this article, we've curated a list of ten outstanding GitHub repositories that will not only enhance your understanding of React but also empower you to become a React master. Under the Hood: React 🔍 This repository contains an explanation of the inner work of React with "Under the Hood React JS":🔗 https://github.com/Bogdan-Lyashenko/Under-the-hood-ReactJS React Developer Roadmap 🗺️ Navigate your React development journey with the "React Developer RoadMap": 🗺️ Below, you can find a chart demonstrating the paths that you can take and the libraries that you would want to learn to become a React developer.🔗 https://github.com/adam-golab/react-developer-roadmap Awesome React Components & Libraries 💡 Discover a treasure trove of "Awesome React Components":🔗 https://github.com/brillout/awesome-react-components redux-auth-wrapper 🧪 Decouple your Authentication and Authorization from your components with Higher-Order Components - "Hocs":🔗 https://github.com/mjrussell/redux-auth-wrapper Beautiful React Hooks 🪝A collection of tailor-made React hooks to enhance your development process and make it faster.🔗 https://github.com/antonioru/beautiful-react-hooks React+TypeScript Cheatsheets 📚 Quick reference "React + TypeScript CheatSheets" for your coding adventures. These are cheat sheets for experienced React developers getting started with TypeScript. You can use this cheat sheet for reference at any skill level, but a basic understanding of React and TypeScript is assumed.🔗 https://github.com/typescript-cheatsheets/react 30 Seconds of React ⏲️ Get snappy insights with "30 Seconds of React":🔗 https://github.com/Chalarangelo/30-seconds-of-react React Redux Links 🔗 Dive deep into React state management with "React Redux Links":🔗 https://github.com/markerikson/react-redux-links React Bits 🔩 A compilation of React Patterns, techniques, tips and tricks.🔗 https://github.com/vasanthk/react-bits Bullet Proof React 🛡️ ⚛️ A simple, scalable, and powerful architecture for building production-ready React applications.🔗 https://github.com/alan2207/bulletproof-react Publishing To GitHub in 3 Steps With Visual Studio Code https://www.youtube.com/watch?v=0pzFGM272fs&embedable=true React has solidified its position as a powerhouse for building dynamic and interactive user interfaces. In this article, we've curated a list of ten outstanding GitHub repositories that will not only enhance your understanding of React but also empower you to become a React master. Under the Hood: React 🔍 This repository contains an explanation of the inner work of React with "Under the Hood React JS":🔗 https://github.com/Bogdan-Lyashenko/Under-the-hood-ReactJS https://github.com/Bogdan-Lyashenko/Under-the-hood-ReactJS React Developer Roadmap 🗺️ Navigate your React development journey with the "React Developer RoadMap": 🗺️ Below, you can find a chart demonstrating the paths that you can take and the libraries that you would want to learn to become a React developer.🔗 https://github.com/adam-golab/react-developer-roadmap https://github.com/adam-golab/react-developer-roadmap Awesome React Components & Libraries 💡 Discover a treasure trove of "Awesome React Components":🔗 https://github.com/brillout/awesome-react-components 💡 https://github.com/brillout/awesome-react-components redux-auth-wrapper 🧪 Decouple your Authentication and Authorization from your components with Higher-Order Components - "Hocs":🔗 https://github.com/mjrussell/redux-auth-wrapper https://github.com/mjrussell/redux-auth-wrapper Beautiful React Hooks 🪝A collection of tailor-made React hooks to enhance your development process and make it faster.🔗 https://github.com/antonioru/beautiful-react-hooks https://github.com/antonioru/beautiful-react-hooks React+TypeScript Cheatsheets 📚 Quick reference "React + TypeScript CheatSheets" for your coding adventures. These are cheat sheets for experienced React developers getting started with TypeScript. You can use this cheat sheet for reference at any skill level, but a basic understanding of React and TypeScript is assumed.🔗 https://github.com/typescript-cheatsheets/react https://github.com/typescript-cheatsheets/react 30 Seconds of React ⏲️ Get snappy insights with "30 Seconds of React":🔗 https://github.com/Chalarangelo/30-seconds-of-react https://github.com/Chalarangelo/30-seconds-of-react React Redux Links 🔗 Dive deep into React state management with "React Redux Links":🔗 https://github.com/markerikson/react-redux-links https://github.com/markerikson/react-redux-links React Bits 🔩 A compilation of React Patterns, techniques, tips and tricks.🔗 https://github.com/vasanthk/react-bits https://github.com/vasanthk/react-bits Bullet Proof React 🛡️ ⚛️ A simple, scalable, and powerful architecture for building production-ready React applications.🔗 https://github.com/alan2207/bulletproof-react https://github.com/alan2207/bulletproof-react Publishing To GitHub in 3 Steps With Visual Studio Code Publishing To GitHub in 3 Steps With Visual Studio Code https://www.youtube.com/watch?v=0pzFGM272fs&embedable=true https://www.youtube.com/watch?v=0pzFGM272fs&embedable=true

10 GitHub Repositories to Become a React Master

Mastering Guerrilla Testing for Fast User Feedback

A microservices architecture is the gold standard for building scalable web applications. Gartner estimates that 74% of organizations use microservices for their web applications, with another 23% planning to use them soon. If you’re an IT leader, architect, or developer, you might have experienced the faster deployments, better fault isolation, and easier scaling that come with microservices. However, the old maxim, “there’s no such thing as a free lunch,” rings true here. Because microservices can also lead to significant operational overhead and complexity. Microservices sprawl, unclear component dependencies, service duplication, and anti-patterns like circular dependencies are all part of the chaos that comes hand-in-hand with microservices. Perhaps you’ve seen some of the common symptoms of this microservices chaos: Engineering velocity drastically slows down
Onboarding new developers grows more difficult
Mean time to recovery (MTTR) for outages or performance issues increases
Overall system resiliency diminishes, putting business outcomes at risk While it’s still best practice to modernize monolithic applications by breaking them into microservices, it’s also best practice to proactively guard against the issues that microservices introduce. Architecture Governance to Control the Chaos The best way to proactively guard against these problems is by using architecture governance — a collection of rules, processes, and practices that manage and control your software architecture. With proper software architecture governance, you can reduce microservices complexity, ramp up developers faster, reduce MTTR, and improve the resiliency of your system, all while building a culture of intentionality. (Note that we’re talking about software architecture governance in this article, not enterprise architecture governance, which has been around for some time and is concerned with the policies, processes, and procedures of enterprise architecture strategies.) But exactly how do you build architecture governance? Governance, whether we’re talking about access, data, or architecture, is often just establishing a set of rules. But for architecture governance, you need more than just rules. You must start with architectural observability. Architectural Observability: The Foundation of Good Governance To implement effective governance, you first need comprehensive visibility into your software architecture. Architectural observability gives you a continuous, real-time view of your architecture. It provides your team with the necessary insights to manage the architecture and interconnectedness of distributed applications. Architectural observability provides documentation from a working system, it shows you systems flows, dependencies, what’s changing, and how your systems interact. It gives your team a thorough understanding of how the architecture works, how it drifts from release to release, and how its changes impact dependent services and resources. Without this visibility, you’re in trouble. If you’ve built a microservices project, you’ve probably encountered the results of a lack of visibility: Microservices that are difficult to manage
Unclear component dependencies
Service duplication
Anti-patterns such as circular dependencies that increase the risk of outages
Performance issues Your overall application resiliency, scalability, and engineering velocity are at high risk. And it only gets worse — the longer you let this lack of visibility continue, the more complex and unmanageable your architecture becomes. Good Observability Equals Good Governance However, with good architectural observability, you can visualize your architecture layer in real-time, gain an understanding of how your system works, and monitor changes as your architecture evolves. With observability, your team can proactively address issues, such as service sprawl and dependency mismanagement — before they lead to technical debt or system failures. And once you have that observability in place — once you know what’s happening and what’s changing — you can now create and enforce your rules of governance. You can implement a governance program that sits over your architecture, monitors, and controls changes, and allows you to build and manage microservices effectively by proactively applying standards and rules to your architecture and codebase as it evolves. Sounds great! But how do you actually build this? Let’s look at an example of how to build this in the real world. Implementing Architectural Observability and Governance First, you need to implement your architectural observability. The domain of architectural observability is new and rapidly evolving. For our example, we’ll use one of the platforms at the forefront — vFunction. vFunction is an AI-driven platform that provides visualizations of software architecture. vFunction leverages AI and OpenTelemetry tracing to enable teams to track every aspect of their architecture and monitor changes between releases. It can quickly identify complex flows, architectural, technical debt, and architectural drift. For example, vFunction allows you to better understand your distributed applications: Visualize the architecture and automatically create exportable sequence diagrams of all system and data flows.
Identify drift, such as new services or dependencies.
Identify resource exclusivity changes (such as multiple new services accessing the same database table) versus previous releases.
Identify circular dependencies between services that could impact resiliency.
Identify duplicate functionality/services that may be merged to remove complexity.
Maintain an up-to-date, real-time view of the global microservices ecosystem. vFunction uses the same data that APM tools use (so it’s straightforward to install) but uses a different layer of intelligence to address the architectural root cause of issues. This is especially important for managing the sprawl and complexity that result from the rapid and frequent deployment of microservices. Implementing Rules to Maintain Standards After implementing your observability, you’re ready to create and enforce your rules of governance. vFunction allows you to create architecture rules and tags and then monitor your architecture in real time against those rules, enforcing your critical governance policies. Any time a deployment or merge request breaks these rules, you can block that action. What type of rules might your governance enforce? You could enforce rules such as: Dependency requirements. For example, certain services should or should not communicate with other services.
Restricted resources.
Multiple services should not depend on the same database table.
Changes should not increase service interdependencies.
Restrictions on new multi-hop flows that could impact performance and resiliency. vFunction can watch and send alerts for all of the above. By implementing a focused set of rules and tags, you can create adaptive governance that guides developers in maintaining an optimal, clean, and efficient architecture. You can build architecture governance into your code and your culture. Conclusion Microservices chaos can threaten to derail development velocity, system resiliency, and operational efficiency. Architecture governance offers a way out of this chaos — a way to regain control over your architecture and steer it toward greater scalability and stability. Whether your organization is just starting to scale with microservices or is already in the depths of microservices sprawl, it’s the right time to introduce architecture governance to ensure that your architecture is efficient and resilient — and ready to support your next phase of growth. A microservices architecture is the gold standard for building scalable web applications. Gartner estimates that 74% of organizations use microservices for their web applications , with another 23% planning to use them soon. 74% of organizations use microservices for their web applications If you’re an IT leader, architect, or developer, you might have experienced the faster deployments, better fault isolation, and easier scaling that come with microservices. However, the old maxim, “ there’s no such thing as a free lunch ,” rings true here. Because microservices can also lead to significant operational overhead and complexity. Microservices sprawl, unclear component dependencies, service duplication, and anti-patterns like circular dependencies are all part of the chaos that comes hand-in-hand with microservices. there’s no such thing as a free lunch Perhaps you’ve seen some of the common symptoms of this microservices chaos: Engineering velocity drastically slows down Onboarding new developers grows more difficult Mean time to recovery (MTTR) for outages or performance issues increases Overall system resiliency diminishes, putting business outcomes at risk Engineering velocity drastically slows down Onboarding new developers grows more difficult Mean time to recovery (MTTR) for outages or performance issues increases Overall system resiliency diminishes, putting business outcomes at risk While it’s still best practice to modernize monolithic applications by breaking them into microservices, it’s also best practice to proactively guard against the issues that microservices introduce . it’s also best practice to proactively guard against the issues that microservices introduce Architecture Governance to Control the Chaos The best way to proactively guard against these problems is by using architecture governance — a collection of rules, processes, and practices that manage and control your software architecture. architecture governance With proper software architecture governance, you can reduce microservices complexity, ramp up developers faster, reduce MTTR, and improve the resiliency of your system, all while building a culture of intentionality. (Note that we’re talking about software architecture governance in this article, not enterprise architecture governance, which has been around for some time and is concerned with the policies, processes, and procedures of enterprise architecture strategies.) But exactly how do you build architecture governance? Governance, whether we’re talking about access, data, or architecture, is often just establishing a set of rules. But for architecture governance, you need more than just rules. You must start with architectural observability. Architectural Observability: The Foundation of Good Governance To implement effective governance, you first need comprehensive visibility into your software architecture . comprehensive visibility into your software architecture Architectural observability gives you a continuous, real-time view of your architecture. It provides your team with the necessary insights to manage the architecture and interconnectedness of distributed applications. Architectural observability Architectural observability provides documentation from a working system, it shows you systems flows, dependencies, what’s changing, and how your systems interact. It gives your team a thorough understanding of how the architecture works, how it drifts from release to release, and how its changes impact dependent services and resources. Without this visibility, you’re in trouble. If you’ve built a microservices project, you’ve probably encountered the results of a lack of visibility: Microservices that are difficult to manage Unclear component dependencies Service duplication Anti-patterns such as circular dependencies that increase the risk of outages Performance issues Microservices that are difficult to manage Unclear component dependencies Service duplication Anti-patterns such as circular dependencies that increase the risk of outages Performance issues Your overall application resiliency, scalability, and engineering velocity are at high risk. And it only gets worse — the longer you let this lack of visibility continue, the more complex and unmanageable your architecture becomes. Good Observability Equals Good Governance However, with good architectural observability, you can visualize your architecture layer in real-time, gain an understanding of how your system works, and monitor changes as your architecture evolves. with With observability, your team can proactively address issues, such as service sprawl and dependency mismanagement — before they lead to technical debt or system failures. And once you have that observability in place — once you know what’s happening and what’s changing — you can now create and enforce your rules of governance. You can implement a governance program that sits over your architecture, monitors, and controls changes, and allows you to build and manage microservices effectively by proactively applying standards and rules to your architecture and codebase as it evolves. Sounds great! But how do you actually build this? Let’s look at an example of how to build this in the real world. Implementing Architectural Observability and Governance First, you need to implement your architectural observability. The domain of architectural observability is new and rapidly evolving. For our example, we’ll use one of the platforms at the forefront — vFunction . vFunction is an AI-driven platform that provides visualizations of software architecture. vFunction vFunction leverages AI and OpenTelemetry tracing to enable teams to track every aspect of their architecture and monitor changes between releases. It can quickly identify complex flows, architectural, technical debt, and architectural drift. OpenTelemetry For example, vFunction allows you to better understand your distributed applications: Visualize the architecture and automatically create exportable sequence diagrams of all system and data flows. Identify drift, such as new services or dependencies. Identify resource exclusivity changes (such as multiple new services accessing the same database table) versus previous releases. Identify circular dependencies between services that could impact resiliency. Identify duplicate functionality/services that may be merged to remove complexity. Maintain an up-to-date, real-time view of the global microservices ecosystem. Visualize the architecture and automatically create exportable sequence diagrams of all system and data flows. Identify drift, such as new services or dependencies. Identify resource exclusivity changes (such as multiple new services accessing the same database table) versus previous releases. Identify circular dependencies between services that could impact resiliency. Identify duplicate functionality/services that may be merged to remove complexity. Maintain an up-to-date, real-time view of the global microservices ecosystem. vFunction uses the same data that APM tools use (so it’s straightforward to install) but uses a different layer of intelligence to address the architectural root cause of issues. This is especially important for managing the sprawl and complexity that result from the rapid and frequent deployment of microservices. Implementing Rules to Maintain Standards After implementing your observability, you’re ready to create and enforce your rules of governance. vFunction allows you to create architecture rules and tags and then monitor your architecture in real time against those rules, enforcing your critical governance policies. Any time a deployment or merge request breaks these rules, you can block that action. What type of rules might your governance enforce ? You could enforce rules such as: What type of rules might your governance enforce Dependency requirements. For example, certain services should or should not communicate with other services. Restricted resources. Multiple services should not depend on the same database table. Changes should not increase service interdependencies. Restrictions on new multi-hop flows that could impact performance and resiliency. Dependency requirements. For example, certain services should or should not communicate with other services. Restricted resources. Multiple services should not depend on the same database table. Changes should not increase service interdependencies. Restrictions on new multi-hop flows that could impact performance and resiliency. vFunction can watch and send alerts for all of the above. vFunction can watch and send alerts By implementing a focused set of rules and tags, you can create adaptive governance that guides developers in maintaining an optimal, clean, and efficient architecture. You can build architecture governance into your code and your culture. Conclusion Microservices chaos can threaten to derail development velocity, system resiliency, and operational efficiency. Architecture governance offers a way out of this chaos — a way to regain control over your architecture and steer it toward greater scalability and stability. Whether your organization is just starting to scale with microservices or is already in the depths of microservices sprawl, it’s the right time to introduce architecture governance to ensure that your architecture is efficient and resilient — and ready to support your next phase of growth.

Mastering Microservices: Building Effective Architecture Governance for Scalability and Stability

Mastering LLM Knowledge Graphs: Build and Implement GraphRAG in Just 5 Minutes

إتقان الرسوم البيانية المعرفية في مجال القانون: إنشاء وتنفيذ GraphRAG في 5 دقائق فقط

Domine los gráficos de conocimiento de LLM: cree e implemente GraphRAG en solo 5 minutos

Dominar os gráficos de coñecemento de LLM: crea e implementa GraphRAG en só 5 minutos

Savladavanje LLM grafikona znanja: izgradite i implementirajte GraphRAG u samo 5 minuta

שליטה בגרפי ידע LLM: בנה והטמיע GraphRAG תוך 5 דקות בלבד

LLM ナレッジ グラフをマスターする: わずか 5 分で GraphRAG を構築して実装する

LLM билим графиктерин өздөштүрүү: GraphRAGди 5 мүнөттүн ичинде куруп, ишке ашырыңыз

Koyeba malamu ba graphiques ya boyebi ya LLM: Kotonga pe kosalela GraphRAG na Minutes 5 Kaka

Mastering LLM Knowledge Graphs: ສ້າງ ແລະປະຕິບັດ GraphRAG ໃນເວລາພຽງ 5 ນາທີ

Stăpânirea graficelor de cunoștințe LLM: construiți și implementați GraphRAG în doar 5 minute

Zvládnutie LLM Knowledge Graphs: Zostavte a implementujte GraphRAG len za 5 minút

เรียนรู้กราฟความรู้ LLM: สร้างและใช้งาน GraphRAG ในเวลาเพียง 5 นาที

From a young age, Vishwanadham Mandala had a keen interest in technology, setting the stage for a distinguished career in the IT sector. Growing up in India, he earned a BTech and MTech in Computer Science & Engineering, fueled by a passion to harness the power of data. His dedication to academia and a relentless quest for knowledge led him to Indiana University in the United States, where he completed an MS in Data Science. He continues to push the envelope by pursuing a PhD in AI & ML. Currently, Vishwanadham is a prominent leader in the field of data engineering. Known for his leadership mantra, "Consistent work, each day, every day," he blends strategic foresight with unwavering persistence. His expertise as an AI & ML leader in critical automotive applications has advanced automotive manufacturing processes and safety standards, enhancing public safety. As a mentor and speaker, Vishwanadham is committed to developing the next generation of technology professionals, ensuring that his legacy of excellence leaves a lasting impact on the industry. Additionally, he has been a member of the Forbes Technology Council since May 2024. Path to Big Data Fascination with the transformative power of data ignited Vishwanadham’s pursuit of a career in Big Data and data engineering. His journey through critical roles at IBM, Oracle, Sierra-Cedar, and Ciena allowed him to work globally, gaining diverse experiences and honing his skills. Reflecting on his career progression, Vishwanadham notes how these experiences shaped his expertise and paved the way to his current role at Cummins, where he spearheads significant projects and integrates AI/ML technologies to drive the company's future direction. Vishwanadham's academic background has been instrumental in his professional success. With degrees from prestigious institutions in India and the United States, he notes, "My diverse educational background gave me a solid foundation in technical knowledge and critical thinking skills." This exposure to different academic environments and perspectives has enriched his understanding of global technological trends and best practices, enabling him to excel in his career and make meaningful contributions to the IT industry. "The exposure to different academic environments and perspectives enriched my understanding of global technological trends and best practices," he explains. This comprehensive background not only allowed him to grow professionally but also equipped him with the skills necessary to drive innovation and efficiency at Cummins, solidifying his role as a leader in the integration of AI and ML technologies. Game-changing Projects Across Industries Vishwanadham led a groundbreaking project that significantly impacted Ciena’s strategic direction in the data space. His innovative approach and strategic leadership were instrumental in shaping Ciena's technology roadmap, highlighting his ability to drive impactful change and foster innovation within the organization. His work showcased his expertise in data engineering and his vision for future technological advancements. Vishwanadham's experience spans various industries, including manufacturing and healthcare, where he has successfully integrated AI and ML solutions to address unique challenges. He explains that his approach involves focusing on both fundamental and superficial facets of data. By adapting to each sector's unique challenges and nuances, he tailors his solutions to best match the environment. This method of integrating AI and ML solutions has enabled Vishwanadham to continuously learn and grow with each encounter. "This method has enriched my expertise, allowing me to tackle various challenges effectively and continuously learn and grow with each encounter," he notes. By leveraging his diverse experience and innovative approach, Vishwanadham has been able to make significant contributions to the fields of manufacturing and healthcare, demonstrating his versatility and proficiency in AI and data engineering. Innovative IoT Patents for Rural Healthcare One of Vishwanadham’s most notable patents involves a groundbreaking IoT solution for medical devices, specifically designed to enhance healthcare in rural areas. This innovative patent focuses on leveraging telemetry data processing to provide real-time health insights, which can significantly improve patient outcomes in remote locations. By utilizing AI and ML, the solution aims to deliver instantaneous and accurate health data, allowing for timely medical interventions. Vishwanadham explains that this technology "enables timely medical interventions and improves access to quality healthcare for rural populations." This IoT innovation has the potential to transform rural healthcare by bridging the gap between remote patients and advanced medical care. "By leveraging AI/ML, this innovation aims to offer instantaneous and accurate health data," says Vishwanadham, highlighting the critical role of advanced technology in improving healthcare accessibility and quality in underserved areas. This patent exemplifies his commitment to using technology to create impactful solutions that address real-world challenges. Leading and Mentoring in AI Vishwanadham emphasizes that leading successful AI and ML initiatives requires a strong foundation in data science, strategic vision, and a commitment to continuous learning. He believes that a disciplined work ethic, cooperative teamwork, and innovative thinking are essential qualities for driving progress in these fields. Additionally, "Effective communication and inspiring and guiding teams are also essential for driving innovation," Vishwanadham states, highlighting the multifaceted nature of leadership in AI and ML. In addition to his leadership skills, Vishwanadham is deeply committed to mentoring and teaching in the AI and ML fields. He actively shares his extensive knowledge and experience with aspiring professionals. "Mentoring helps individuals grow and contributes to the industry's evolution by fostering a culture of continuous learning and innovation," he explains. By guiding the next generation of AI and ML experts, Vishwanadham aims to create a robust talent pool capable of tackling future challenges and driving technological advancements. This dual focus on leadership and mentorship highlights Vishwanadham's holistic approach to advancing the AI and ML fields. He understands that the future of technology depends not only on current innovations but also on preparing the next generation to continue pushing the boundaries of what is possible. AI Innovations for Safety and Supply Chains Looking to the future, Vishwanadham aspires to leverage AI and ML to significantly advance citizen safety and improve supply chains by implementing cutting-edge technologies and innovative solutions. He is particularly excited about the potential of Edge AI/ML, which he describes as "a revolutionary approach to telemetry data processing that can provide instantaneous and accurate insights." One of his current projects focuses on integrating this technology into the automotive industry to enhance vehicle safety and protect citizens. "By staying ahead of the competition through constant learning and innovation, I aim to drive transformative change," he asserts. His commitment to using advanced AI and ML technologies to solve real-world problems highlights his vision for a safer and more efficient future, where technology plays a crucial role in protecting lives and optimizing operations. In a world becoming increasingly data-centric, Vishwanadham’s expertise serves as a beacon for those navigating the complexities of modern business landscapes. His journey reminds us that mastering data is not just about understanding technology but also about leveraging it to make remarkable contributions to society. As he continues to mentor the next generation of tech professionals, his influence extends beyond projects and patents, fostering a culture of continuous learning and innovation in the industry. From a young age, Vishwanadham Mandala had a keen interest in technology, setting the stage for a distinguished career in the IT sector. Growing up in India, he earned a BTech and MTech in Computer Science & Engineering, fueled by a passion to harness the power of data. His dedication to academia and a relentless quest for knowledge led him to Indiana University in the United States, where he completed an MS in Data Science. He continues to push the envelope by pursuing a PhD in AI & ML. Currently, Vishwanadham is a prominent leader in the field of data engineering. Known for his leadership mantra, "Consistent work, each day, every day," he blends strategic foresight with unwavering persistence. His expertise as an AI & ML leader in critical automotive applications has advanced automotive manufacturing processes and safety standards, enhancing public safety. As a mentor and speaker, Vishwanadham is committed to developing the next generation of technology professionals, ensuring that his legacy of excellence leaves a lasting impact on the industry. Additionally, he has been a member of the Forbes Technology Council since May 2024. Path to Big Data Fascination with the transformative power of data ignited Vishwanadham’s pursuit of a career in Big Data and data engineering. His journey through critical roles at IBM, Oracle, Sierra-Cedar, and Ciena allowed him to work globally, gaining diverse experiences and honing his skills. Reflecting on his career progression, Vishwanadham notes how these experiences shaped his expertise and paved the way to his current role at Cummins, where he spearheads significant projects and integrates AI/ML technologies to drive the company's future direction. Vishwanadham's academic background has been instrumental in his professional success. With degrees from prestigious institutions in India and the United States, he notes, "My diverse educational background gave me a solid foundation in technical knowledge and critical thinking skills." This exposure to different academic environments and perspectives has enriched his understanding of global technological trends and best practices, enabling him to excel in his career and make meaningful contributions to the IT industry. "The exposure to different academic environments and perspectives enriched my understanding of global technological trends and best practices," he explains. This comprehensive background not only allowed him to grow professionally but also equipped him with the skills necessary to drive innovation and efficiency at Cummins, solidifying his role as a leader in the integration of AI and ML technologies. Game-changing Projects Across Industries Vishwanadham led a groundbreaking project that significantly impacted Ciena’s strategic direction in the data space. His innovative approach and strategic leadership were instrumental in shaping Ciena's technology roadmap, highlighting his ability to drive impactful change and foster innovation within the organization. His work showcased his expertise in data engineering and his vision for future technological advancements. Vishwanadham's experience spans various industries, including manufacturing and healthcare, where he has successfully integrated AI and ML solutions to address unique challenges. He explains that his approach involves focusing on both fundamental and superficial facets of data. By adapting to each sector's unique challenges and nuances, he tailors his solutions to best match the environment. This method of integrating AI and ML solutions has enabled Vishwanadham to continuously learn and grow with each encounter. "This method has enriched my expertise, allowing me to tackle various challenges effectively and continuously learn and grow with each encounter," he notes. By leveraging his diverse experience and innovative approach, Vishwanadham has been able to make significant contributions to the fields of manufacturing and healthcare, demonstrating his versatility and proficiency in AI and data engineering. Innovative IoT Patents for Rural Healthcare One of Vishwanadham’s most notable patents involves a groundbreaking IoT solution for medical devices, specifically designed to enhance healthcare in rural areas. This innovative patent focuses on leveraging telemetry data processing to provide real-time health insights, which can significantly improve patient outcomes in remote locations. By utilizing AI and ML, the solution aims to deliver instantaneous and accurate health data, allowing for timely medical interventions. Vishwanadham explains that this technology "enables timely medical interventions and improves access to quality healthcare for rural populations." This IoT innovation has the potential to transform rural healthcare by bridging the gap between remote patients and advanced medical care. "By leveraging AI/ML, this innovation aims to offer instantaneous and accurate health data," says Vishwanadham, highlighting the critical role of advanced technology in improving healthcare accessibility and quality in underserved areas. This patent exemplifies his commitment to using technology to create impactful solutions that address real-world challenges. Leading and Mentoring in AI Vishwanadham emphasizes that leading successful AI and ML initiatives requires a strong foundation in data science, strategic vision, and a commitment to continuous learning. He believes that a disciplined work ethic, cooperative teamwork, and innovative thinking are essential qualities for driving progress in these fields. Additionally, "Effective communication and inspiring and guiding teams are also essential for driving innovation," Vishwanadham states, highlighting the multifaceted nature of leadership in AI and ML. In addition to his leadership skills, Vishwanadham is deeply committed to mentoring and teaching in the AI and ML fields. He actively shares his extensive knowledge and experience with aspiring professionals. "Mentoring helps individuals grow and contributes to the industry's evolution by fostering a culture of continuous learning and innovation," he explains. By guiding the next generation of AI and ML experts, Vishwanadham aims to create a robust talent pool capable of tackling future challenges and driving technological advancements. This dual focus on leadership and mentorship highlights Vishwanadham's holistic approach to advancing the AI and ML fields. He understands that the future of technology depends not only on current innovations but also on preparing the next generation to continue pushing the boundaries of what is possible. AI Innovations for Safety and Supply Chains Looking to the future, Vishwanadham aspires to leverage AI and ML to significantly advance citizen safety and improve supply chains by implementing cutting-edge technologies and innovative solutions. He is particularly excited about the potential of Edge AI/ML, which he describes as "a revolutionary approach to telemetry data processing that can provide instantaneous and accurate insights." One of his current projects focuses on integrating this technology into the automotive industry to enhance vehicle safety and protect citizens. "By staying ahead of the competition through constant learning and innovation, I aim to drive transformative change," he asserts. His commitment to using advanced AI and ML technologies to solve real-world problems highlights his vision for a safer and more efficient future, where technology plays a crucial role in protecting lives and optimizing operations. In a world becoming increasingly data-centric, Vishwanadham’s expertise serves as a beacon for those navigating the complexities of modern business landscapes. His journey reminds us that mastering data is not just about understanding technology but also about leveraging it to make remarkable contributions to society. As he continues to mentor the next generation of tech professionals, his influence extends beyond projects and patents, fostering a culture of continuous learning and innovation in the industry.

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