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Enabling Ingram Micro's extensive network of resellers, system integrators, and service providers to access Cloudera's powerful hybrid data platform

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Ingram Micro and Cloudera announce new distribution agreement to help drive AI adoption

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Cloudera, Inc. offers a suite of data analytics and management products in the United States, Europe, and Asia. The company operates through two segments, Subscription and Services. The company offers Cloudera DataFlow, a streaming data platform that collects, curates, and analyzes data; Cloudera Data Science Workbench that enables self-service data science for the enterprise; Cloudera Enterprise Data Hub, a solution that allows companies to execute multiple analytic functions against a shared set of governed and secure data; Cloudera Data Warehouse, a data warehouse that provides cloud solution for self-service analytics; Cloudera Operational DB, a solution that enables stream processing and real-time analytics on changing data; Cloudera Data Science and Engineering, which enables users to streamline and scale big data processing; and Hortonworks Data Platform, a data management platform that helps organizations to store, process, and analyze various data assets. Its solutions also include Cloudera SDX, a solution that enables common security, governance, lineage, and metadata management for multiple analytics functions; and Cloudera Workload XM, an analytic workload experience management cloud service. In addition, the company provides consulting, professional, and education services. It serves corporate enterprises and public sector organizations primarily through its direct sales force. The company was incorporated in 2008 and is headquartered in Santa Clara, California.

Will Open Source Get More Open in 2020? Licensing changes at Cloudera, Yugabyte, and Chef show an interest in getting more open--though it’s too soon to say it signals a broad trend that others will follow. Yet there’s still a lot to learn from each company’s motivations. I was hopeful that would jump start a broad trend towards more companies embracing the open in open source. With Cloudera and now Yugabyte making similar moves, the obvious question is: Will more OSS companies follow suit? Chef’s announcement that it was going 100% open source Probably not. Each of these announcements makes sense for the company for different reasons. But when you step back, there are a few common elements tying them together. Hortonworks and Cloudera merged after years of competing. Hortonworks was all open source and offered services and support (commonly called the Red Hat model). Cloudera was open-core, meaning is created its own proprietary code around the code of open source Hadoop. With the merger, everyone expected them to consolidate on one of the models. This hints at why they chose open: Cloudera. announcement “By investing in open source projects such as Spark, Kubernetes and Kafka, we keep our customers on a sustainable long-term architecture vs. pulling them onto an island of Cloudera-only developed tools.” Hadoop started the big data movement and seeded the ecosystem in the Apache Foundation. While the vendors that followed, like Confluent, are making code more proprietary to defend their niche, Clouders sees the opportunity to go the other way and attract wide swaths of customers that are largely satisfied by the core projects. They hope to be to data platforms what RedHat is to compute platforms. The most valuable thing an open source company can do is reach ubiquity of use. Yugabyte. In almost every case, open source companies that achieve broad universal adoption also generate meaningful financial returns. It’s like fishing in a stocked pond. Hadoop has reached that point, though may be on the decline. Yugabyte, on the other hand, is still in the early adoption stages. I think their is both validation of the value of ubiquity and acknowledgement of how much further they still have to go to achieve it. announcement that YugabyteDB will be entirely open source The company described the change as a move to full open source, though I see it as really just dialing back proprietary in favor of more open source. It is true that the YugabyteDB project, by some definition, is fully open source, but some of the code that the Yugabyte company produces is still proprietary. That said, this is a meaningful announcement. It sets a high water mark on the recent trend towards proprietary code, especially for a DB company running on public clouds. There is still a strong business rationale for a high degree of openness. I analyzed Chef’s licensing changes , but it’s worth revisiting a couple of points about Chef that are also generalizable. Chef. in a previous post Continuous integration and delivery (CI/CD) along with an increased sensitivity to security have changed how users view open source offerings. While it used to be fine to get versions of software periodically, users today expect and demand ever-updating software. Using outdated open source software is not only inconvenient, in some cases it is no longer acceptable because it can introduce security vulnerabilities. Users will pay to ensure that they are getting the latest security patches. Notice in that "the subscription agreement will cover the terms of support and maintenance, as well as access to the latest updates and security patches." Cloudera and Chef are both recognizing that there is lots of value in timely access to open source code from trusted sources (Cloudera and Chef engineers), and in some cases more value than value from add-on proprietary features. Customers wanted to pay for an open trusted core more than for an open core + add-ons. Cloudera's announcement As part of Chef’s open source transition, Chef went from monetizing product features to, among other things, monetizing its robust build pipeline through timely distributions. Chef customers get a subscription to these builds ensuring heightened security as well as the latest features. More Experimentation Ahead in 2020 We shouldn’t extrapolate from the above three announcements that we’re in a new era of more open open source. Instead, we should recognize all the signs that open source software is alive and well despite the many high-profile moves towards proprietary codebases. What is ahead then? 2019 was a year where we saw rich experimentation on the . In 2020, that experimentation will continue. But I expect we'll see a lot more open source companies really leaning in to their source distribution models as competitive differentiators for their products, in the same way traditional software companies emphasize on-prem or cloud, or vertical versus horizontal. best paths to commercializing open source software projects Open source still has its place in the enterprise.

Why Cloudera, Yugabyte, and Chef Went Open Source

T in the tech sector are not only wrong — they are irrelevant. he recent spate of scare stories about declining prices If you’re a corporate investor looking to acquire a startup, this latest round of media noise, gossip, and chitchat is distracting. Rather than obsessing over the market and whether there’s a newly pumped-up bubble or not, you may well be a lot better off taking a step back; giving yourself the chance to ask not whether the price of Snap, Cloudera, or Alfa Financial Software is sensible, but whether — as an investor — it’s sensible for . you If you look at five poorly performing tech stocks, their declining values probably have much more to do with their individual business strategies than market conditions generally . Prices are indication of what the market is prepared to pay for shares in a business at any one particular point in time. More importantly yet, prices signal the value an acquirer feels it can extract from an acquisition target. So, rather than trying to look outside of your company to find the value of a startup target, look inside first. That is because prices don’t exist in isolation Tech is a fast-moving world, and so are the stories This latest round of hysteria started with about a string of startups who are, potentially, floating on the stock market at a price below their pre-IPO valuations. Cloudera was cited as the first tech unicorn to go public at a value “significantly” below its private valuation. HortonWorks and Apptio were also referenced. an article in Bloomberg The original graph from the Bloomberg article But, what’s the real news here? . Some go up, some go down. That is usually because a company’s individual strategy has succeeded or failed, its revenues are growing or shrinking against expectations, or its outlook is positive or negative. Companies fluctuate in price — and value — all the time For every company you can find whose valuation declined after going public, you can probably find another one that rose , and draw much bigger, wider conclusions — especially about an industry as diverse and broad as the technology sector. If you look at five poorly performing tech stocks, their declining values probably have much more to do with their individual business strategies than market conditions generally. It’s very difficult, if not impossible, to extricate the individual circumstances of company valuations For every company you can find whose valuation declined after going public, you can probably find another one that rose. Facebook is a case in point. Since its float in 2012 at a peak market capitalisation of about $100bn, it has increased in value more than fourfold. Currently its market capitalisation is over $430 billion. At the time it floated, you could find a lot of scare stories about the tech bubble and how Facebook was yet another example of an overvalued tech company that would eventually collapse. Five-year view of Facebook’s price on the NASDAQ (source: Google Finance) The same reaction took place when it announced it was acquiring Instagram for $1 billion. How very wrong they were. It’s natural to see price jumps when going from private to public You also hear a lot about private tech companies’ valuations jumping about all over the place. This volatility, we may think, is a signal that something is not quite right in the market. So, perhaps, it’s not that Cloudera’s price has declined, but that it has declined by so much so quickly. But that’s not clear either. . This is not volatility. It’s not even really correct to call it a “price jump” at all. It’s natural to see price jumps when a company is private, or goes from private to public , such as capital raises, acquisitions, or IPOs. And a very long time — usually years — can pass between these landmark events, meaning most of the time the true value of the company is hidden; whereas public companies are valued day-in, day-out on the public markets, meaning that price declines usually follow smooth downward curves. That is usually enough to explain what seems, on the surface, to be a rapid, immediate change in value. These fluctuations in price simply reflect the fact that private companies are typically valued only at landmark events The risk of scare stories, and why they truly matter The risk of all . You can see this happening in two ways. On one hand, the CFO of a major corporate might be scared off by the stories from acquiring a startup, thinking that a market correction is imminent and they could end up destroying value. On the other hand, they may sweep into the market, acquiring a startup at what they think is a bargain price without doing enough due diligence. this media noise around the price of tech startups is that it distracts strategic investors from making the right decision When a corporate is looking to invest or acquire a startup, they shouldn’t be thinking primarily about the wider market but, instead, about what value the target company will provide to them These are both wrong. When a corporate is looking to invest or acquire a startup, they shouldn’t be thinking primarily about the wider market but, instead, about what value the target company will provide to them: the synergies the investment or acquisition will create, and how the target can help the corporate transform itself to keep pace with digital change. . This is why a target company, which may seem small or insignificant, can actually command a large valuation, and price, to the right company In retrospect Google’s acquisition of Android seems like a fantastic strategic move For example, in 2005, Google spent $50 million on a tiny company, which very few people knew about at the time and which was developing software for mobile phones well before such a thing was fashionable. It had only been in existence for 22 months. Many commentators couldn’t understand the acquisition, and accused Google of making a strategic error. What was the company? Android. It has since gone on to become the leading mobile phone operating system in the world, used on more than 1.6 billion devices around the world. While the price might have seemed high at the time, it wasn’t. . Would Android have been worth $50 million to another company? Perhaps not, but it was worth it to Google because it was a great strategic fit, and enabled Google to unleash enormous latent value. Google had a vision to bring its services to mobile — as consumers increasingly adopted handheld devices — and Android was a key rung in its strategy Almost any price can be the right price The lesson from this is that almost any price can be the right price from the right company for the right asset. Corporate investors, who are increasingly struggling to keep pace with the latest technological developments, need to look inside their own companies, develop a strategy to transform themselves for the future and then — and only then — go out to the market to find a good strategic fit, ignoring in the first instance prices, and even in some cases numbers. Prices can distract from finding the right company, which is what truly matters. The lesson from this is that almost any price can be the right price from the right company for the right asset After this company has been uncovered, then a corporate can start asking the difficult questions about value: what historic value information do we have? Can we benchmark the company against other similar competitors? And, most importantly of all, what strategic value will the acquisition unleash in my company that it wouldn’t be possible to uncap otherwise? , and agree to a price and terms that make sense with all the other value elements taken into account. If corporates can do that, they will have the best chance of finding a transformative acquisition target that works for them. Then they have to execute, which is a topic for another article… Corporates need to find a startup that fits their company like a glove Paul Cuatrecasas is CEO and Founder of Aquaa Partners , a London-based investment bank that works with growth-focused corporates to help them find and acquire the right technology company. Find out more about how Aquaa Partners can help you at: http://aquaapartners.com

Ignore Cloudera: tech startup acquisitions aren’t about price, they’re about company fit

There is a lot of complexity in the world of open source, yet there is also surprising commonality among governance approaches and commercialization strategies It’s been a . In April, Chef made the surprise announcement that it would make available the codebase of its entire product suite. Then in July, Cloudera with the announcement that it would open its closed source products and commit the whole company to open source, in line with Hortonworks, which it acquired earlier in the year. crazy year in open source doubled down on open source For all of the forces at work in open source, I’ve found that the viable business strategies can be distilled into just a handful of governance factors and commercialization models. This article is my attempt to formalize these commonalities into a useful taxonomy. After all, there are nuances to how a given open source project is funded and governed, and the relationship the company has with the project. All of which affect the visibility of the project (whether or not there’s marketing boost) and long-term control over the codebase and project direction. Ultimately, these are the factors that inform how successful and valuable a company will be. Let’s step through the primary governance factors then move on to the three key commercialization models. Governance Factor 1: Financing “Project-Community Fit” Key question: How is “project-community fit” funded? Incubated in an institution VC financed Bootstrapped Demonstrating traction is a prerequisite for an open source company to reach product-market fit. We might call this milestone “project-community fit.” By that, I mean, the point where a project finds a sustainable base of users. Production users will harden the offering, report and fix bugs, and provide proof-points. Contributing users are nice as well but not as critical. If the project doesn’t get there, the company has no value. If it does, the company has a chance at success. Funding the project largely boils down to two choices: VC/bootstrapped or growing the project within a company or institution. Venture investment and self-funding are self-explanatory. Founding a project within an institution or company is less common but certainly a viable path. For anyone but celebrity developers, being able to say that your project started inside Google, Uber, or LinkedIn attracts attention and lends credibility. There are many examples of successful open source projects started inside organizations like Google, LinkedIn or UC Berkeley. In fact, I’d say there is probably a better hit rate of people starting successful projects this way than pursuing an independent path from the outset. Of course, the downside here is the lack of control: Google, for example, will insist on handing off the codebase to a foundation like Apache. That decision will be made for you. Going it alone is the only way to ensure complete control from the beginning. Governance Factor 2: Long-Term Project Governance Key question: Who governs the project long term? The company or a single project foundation? Major foundation? Alongside project-community fit, long-term governance is a key consideration: Who owns the code and decides the fate of the project? You can put it in a major foundation, like Apache or Linux, or manage it yourself in a new foundation or otherwise. Putting it in a major foundation leans more “open” and lends itself to greater cross-project collaboration. It will likely give your young project a marketing boost. But it will also curtail the control you have over it and limit your monetization options. The typical alternative is to manage it yourself or create a single project foundation that you control. Governance Factor 3: The Role of Project Founders Key question: Who runs the company? Founders Committers Neither The project team’s relationship to the project itself is critical. Are the founders of the company the founders of the project? Does the company employ committers? Much of the glow that open source provides is channeled to the project founders. Having them on the team gives a marketing boost. Employing committers may give the company greater influence in the direction of the project and an insider view of where it is headed. It also reinforces the association with your company and the project. Perhaps the only draw-back is that the committers have a responsibility and passion for the project that may limit their interest in commercialization efforts. Finally, and most common, are team members that have no formal relationship to the project. While they don’t help on the marketing front, they are much easier to find and more likely to be generalists flexible enough to take the company in any direction. Three Models of Open Source Commercialization From these factors I’ve found 3 archetypes for building open source software companies. Here’s a description and illustrative examples. Model 1: Institutional This model represents cases where a big institution (company or university) develops an open source project, gives it to an established foundation, and the founders leave the first institution to start a company around it. I call it institutional because the codebase goes from a founding institution to a governing institution. This is a proven path for companies. The founding institution funds the growth of the project and provides a brand halo. The founders get to move to a startup after the open source project is validated while still keeping the founder halo and/or the governing institution halo. The downside to this approach is that you don’t control the core-code and can face commercial tension working with the governing foundations. Model 2: Independent This model represents cases in which founders create an open source project on their own or with venture backing. This is the high risk, high return model. This has the advantage of  retaining the control that can be lost from placing the project under the control of a governing institution. It can be a lot of work to bootstrap a project, but if it works, you stay in control of the codebase and own the brand/trademarks of the company and project. Most of the examples in the table below have in the last year or so, something that can’t be done for foundation-donated code. All of these projects have named their company the same as the project, which isn’t true of the Institutional examples above. It can be hard to build the brand as you don't have the halo of the founding institution. But once you do, it is all yours. changed open source licensing *In many cases the first project releases were before a company formed, but it is the closest thing to the founding institution. Also, in many cases companies changed names between formation and today, but we’ll use today’s names for consistency. Model 3: Co-Opt This model represents the many cases of companies founded by co-opting an existing open source project. Even if you haven’t created an open-source project, you can create a company around one. This is a newer model that is less proven but certainly promising. There are a bunch of great open source communities in which, for whatever reason, the founders aren’t in a position to or interested in pursuing commercial development. Here, you don’t get any halos, but you are able to skip the work of building a community -- just join a thriving one and commercialize it. I’m curious to watch how these companies play out. The founder halo is extremely valuable in commercializing something that is otherwise already free, but cloud and SaaS models give additional opportunity to extend value. Open Source Has Fostered Many Successes No one said that wearing the two hats of project founder and CEO would be easy. There is endless tension between the democratic spirit of open source and the many attempts to build successful companies on open source projects. Yet just look to a Chef or a MongoDB to see that it is indeed possible to turn open source into commercial success. Recognizing the commonality shared by these success stories can be useful for any founder seeking to grow a company using an open source approach to its codebase. Eric Anderson is a Principal at Scale Venture Partners where he invests in cloud infrastructure and open source.

A Taxonomy for Open Source Software Companies: Governance and Commercialization

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How to Determine the Features Necessary for Your MVP The right features of MVP will help you maintain your product quality and functionality, without budget and time overspending. 40. Corporate YouTube: Helping You Manage Growing Enterprise Video Data Learn how corporate YouTube automates video content management helping you meet end-to-end enterprise video needs 41. Enterprise Mobile Applications: Are they a Trend or a Necessity? Mobile devices have redefined the way we interact with digital technology, and enterprise mobile applications are probably the most interesting example of this shift. While they hold considerable potential for improving business operations, you’ll be right to wonder whether they can really fulfill all the trendy promises seen in the media. Below is a detailed analysis of what these apps can really do and how to harness their potential while avoiding the risks. 42. Lowering TCO of Enterprise IT Systems during COVID-19 As an eternal optimist, I've always wanted to live through an economic recession as a working professional and finally, the time might be here. 43. How to Get Started With Enterprise Automation: Tips From ITRex You’ve probably noticed this trend of automating tasks, processes, and even complete departments. Maybe, your company is also considering implementing an intelligent process automation solution, but you still haven’t found the answer to the following questions: 44. A Helpful Guide to Enterprise Mobile App Development Here's a step-by-step guide for enterprise mobile app development. It is a good read for enterprise executives who don't know where to start. 45. Software Package or Specific Development A company requires many IT systems to run its business, and typically spends a few percent of its revenue on building and operating those IT systems. A typical IT system will live for a decade and sometimes much more before being replaced. 46. How to use NLP to SQL API? Data is useless without the ability to easily get and act on it. The success of future enterprises will combine sophisticated information collection with better user experience, and the Natural Language User Interface comprises much of this user experience. 47. How to Use A/B Testing for Product Design Improvement This guide defines that approach, and how you can use A/B testing for product design improvement. 48. Manufacturing Automation: What Processes You Should Automate in 2020 to Get More Efficiency The modern world is bombarded with the flow of advanced technologies. Cloud and quantum computing, Internet of Things, AI, 3D printing, and a plethora of other technologies ushered by the Fourth Industrial Revolution quickly change the usual way we perceive high technology and promise unfathomable horizons of opportunities. 49. An Analysis of Key Players in the Software Defined Storage (SDS) Market for 2022 This blog examines the top Software-Defined-Storage (SDS) market players for 2022 and highlights the importance of each one as an enterprise solution. 50. Secure Software Development Lifecycle: Stages, Methods & Best Practices This article is a short guide to SDLC stages, methods, and best practices. 51. Why Should Your Business Adopt Cloud-Based IT Solutions? Data storage and access have long been a concern for businesses. A ton of data is created daily, and efficient storage is a must to keep track of everything. 52. Enterprise Software Is the Hardest Software To Write There is a perception that enterprise software is easy. The thought process goes something like: “How can adding up numbers and producing reports be as hard to do as programming image recognition, or writing software to control nuclear power plants?” 53. NEM Introduces Symbol & A New Multi-Layer Network for Enhanced Trustlessness Kailin O'Donnell is the Director and Co-Founder of NEM Ventures, the VC and Investments arm of the NEM Blockchain Ecosystem. Kailin is a DLT advocate who has been deeply involved in NEM since before launch, coding some early SDKs for NIS1 and Symbol, and has assisted multiple companies building on the NEM blockchain. Thank you for checking out the 53 most read stories about Enterprise Software on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

53 Stories To Learn About Enterprise Software

Use Case The current cloud era is dominated heavily by Kubernetes (k8s). While the DevOps team manages App lifecycle (deploy, scale, upgrade, downgrade, etc.), the App developer needs to build a similar environment locally. So before shipping the App, developer is required to ensure DevOps lifecycle is not impacted by any of the changes s/he makes. So it is very much necessary for a Developer to have a local k8s cluster for testing. In short, this blog post demonstrates the following flow. Assumption You have , and installed on your host. docker kubectl KinD You have go version go1.20.3 installed on the host. However, older version should work too. This complete setup is build on Ubuntu 22.04.2 host. If you are using another OS/platform, then you might need to modify the commands accordingly. Let Start... Prerequisite Setup Clone the repo [~]# git clone https://github.com/simplyatul/godevsetup.git
[~]# cd godevsetup Now using KinD, create local k8s cluster with a control plane node and two worker nodes. [~/godevsetup]# kind create cluster --config ./kind-local-k8s-cluster-baremin.yaml --name local-dev
Creating cluster "local-dev" ...
 ✓ Ensuring node image (kindest/node:v1.26.3) 🖼
 ✓ Preparing nodes 📦 📦 📦  
 ✓ Writing configuration 📜 
 ✓ Starting control-plane 🕹️ 
 ✓ Installing CNI 🔌 
 ✓ Installing StorageClass 💾 
 ✓ Joining worker nodes 🚜 
Set kubectl context to "kind-local-dev"
You can now use your cluster with:

kubectl cluster-info --context kind-local-dev

Have a question, bug, or feature request? Let us know! https://kind.sigs.k8s.io/#community 🙂 You can see that the control plane node and worker nodes are installed and running as separate containers. [~/godevsetup]# docker ps -a
CONTAINER ID   IMAGE                  COMMAND                  CREATED              STATUS          PORTS                       NAMES
9d2f27169e21   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds                               local-dev-worker2
2b198d465d81   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds                               local-dev-worker
96f3a760a02a   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds   127.0.0.1:33519->6443/tcp   local-dev-control-plane Step 1 - App Development I have written a simple App in Go. You can do this in any language of your choice. The App exposes a ReST API on port 8080 and returns the hostname. Check the code. You can run the App locally using and then hit the following command from another terminal. GitHub go run main.go [~]# curl localhost:8080
Hostname: ubuntu-jammy Once you complete the coding, commit it. Optionally, you can push it to the remote repo as well. Step 2 - Containerize The App Build the docker image [~/godevsetup]# docker build -t godevsetup:latest . Run it locally and check once [~/godevsetup]# docker run --rm --name godevsetup -p 8080:8080 godevsetup:latest

# From another terminal
[~/godevsetup]# curl localhost:8080
Hostname: 48143ca71c90 Step 3 - Push Image Into Your Cluster Here we will push the container image onto the cluster nodes created by KinD [~/godevsetup]# kind load docker-image godevsetup:latest --name local-dev
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-worker2", loading...
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-worker", loading...
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-control-plane", loading... You can inspect image is loaded [~/godevsetup]# docker exec local-dev-control-plane crictl images
IMAGE                                                     TAG                 IMAGE ID            SIZE
docker.io/library/godevsetup                              latest              aa7dbb2842050       869MB
registry.k8s.io/etcd                                      3.5.6-0             fce326961ae2d       103MB
registry.k8s.io/kube-apiserver                            v1.26.3             801fc1f38fa6c       80.4MB
registry.k8s.io/kube-controller-manager                   v1.26.3             cb77c367deebf       68.5MB
registry.k8s.io/pause                                     3.7                 221177c6082a8       311kB
docker.io/kindest/kindnetd:v20230330-48f316cd             <none>              a329ae3c2c52f       27.7MB
docker.io/kindest/local-path-helper:v20230330-48f316cd    <none>              37af659db0ba1       3.05MB
registry.k8s.io/coredns/coredns                           v1.9.3              5185b96f0becf       14.8MB
docker.io/kindest/local-path-provisioner:v0.0.23-kind.0   <none>              c408b2276bb76       18.7MB
registry.k8s.io/kube-proxy                                v1.26.3             eb3079d47a23a       67.2MB
registry.k8s.io/kube-scheduler                            v1.26.3             dec886d066492       57.8MB Step 4 - Deploy On Local K8s Cluster I have created a Nodeport Service along with the deployment. Check the file. Create the Service and the deployment. yaml [~/godevsetup]# kubectl apply -f godevsetup-nodeport.yaml
deployment.apps/godevsetup created
service/godevsetup-nodeport created You can check the Service and pods are created [~/godevsetup]# kubectl get all
NAME                              READY   STATUS    RESTARTS   AGE
pod/godevsetup-78fbdfb985-4tmz2   1/1     Running   0          3m59s
pod/godevsetup-78fbdfb985-frl2d   1/1     Running   0          3m59s
pod/godevsetup-78fbdfb985-x77g4   1/1     Running   0          3m59s

NAME                          TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)          AGE
service/godevsetup-nodeport   NodePort    10.96.245.170   <none>        9090:30123/TCP   3m59s
service/kubernetes            ClusterIP   10.96.0.1       <none>        443/TCP          52m

NAME                         READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/godevsetup   3/3     3            3           3m59s

NAME                                    DESIRED   CURRENT   READY   AGE
replicaset.apps/godevsetup-78fbdfb985   3         3         3       3m59s You can also observe the App pods are created inside the worker nodes [~/godevsetup]# docker exec local-dev-worker crictl ps
CONTAINER           IMAGE               CREATED             STATE               NAME                     ATTEMPT             POD ID              POD
a310b2cf0201d       aa7dbb2842050       5 minutes ago       Running             godevsetup               0                   66781797eb650       godevsetup-78fbdfb985-frl2d
fea54fa36f629       c408b2276bb76       54 minutes ago      Running             local-path-provisioner   0                   d03b938684afd       local-path-provisioner-75f5b54ffd-k7xfb
b11289f372caf       5185b96f0becf       54 minutes ago      Running             coredns                  0                   0b51dcb843021       coredns-787d4945fb-wqxst
ee14e1dc8ff83       5185b96f0becf       54 minutes ago      Running             coredns                  0                   e7a1e535bb183       coredns-787d4945fb-g7xnq
99a540c5658fb       a329ae3c2c52f       54 minutes ago      Running             kindnet-cni              0                   eb134c7507011       kindnet-gmzxc
aaebc183b9f6a       eb3079d47a23a       54 minutes ago      Running             kube-proxy               0                   a7b50875a469f       kube-proxy-6wj5v

[~/godevsetup]# docker exec local-dev-worker2 crictl ps
CONTAINER           IMAGE               CREATED             STATE               NAME                ATTEMPT             POD ID              POD
b2d32e5b552f7       aa7dbb2842050       5 minutes ago       Running             godevsetup          0                   872cff6cf3ea3       godevsetup-78fbdfb985-4tmz2
9ae704f8c8669       aa7dbb2842050       5 minutes ago       Running             godevsetup          0                   e186f3ccda549       godevsetup-78fbdfb985-x77g4
79013566e33e8       a329ae3c2c52f       54 minutes ago      Running             kindnet-cni         0                   959abab06b391       kindnet-tg2jl
0611eaced1aad       eb3079d47a23a       54 minutes ago      Running             kube-proxy          0                   49477d56a66c8       kube-proxy-96f5x Step 5 - Verify The Functionally Since we have created a NodePort Service, we can access the service using Node’s IP First, identify the Node IPs [~/godevsetup]# kubectl get nodes -o wide
NAME                      STATUS   ROLES           AGE   VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
local-dev-control-plane   Ready    control-plane   58m   v1.26.3   172.18.0.4    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49
local-dev-worker          Ready    <none>          57m   v1.26.3   172.18.0.2    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49
local-dev-worker2         Ready    <none>          57m   v1.26.3   172.18.0.3    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49 The INTERNAL-IP is the IP of the worker node. Now access the API’s ReST endpoint using any of the Node’s IP and Port (Port is mentioned as in our file) nodePort: 30123 yaml [~/godevsetup]# curl 172.18.0.4:30123
Hostname: godevsetup-78fbdfb985-frl2d

[~/godevsetup]# curl 172.18.0.2:30123
Hostname: godevsetup-78fbdfb985-frl2d

[~/godevsetup]# curl 172.18.0.3:30123
Hostname: godevsetup-78fbdfb985-4tmz2 Cool.. We are done. Now if you want to Enhance (or Bug-fix) your App, restart from Step 1. But before that, remove the Service and Deployment. [~/godevsetup]# kubectl delete -f godevsetup-nodeport.yaml 
deployment.apps "godevsetup" deleted
service "godevsetup-nodeport" deleted Sign Off… This blog covers how to set up a local k8s cluster using KinD. And how can we leverage it for the App deployment and testing. Thank you for reading the post. Please comment on how you find this. Connect me on to get updates on future blog posts. Twitter Also published . here

How to Set up a Local K8s Cluster Using KinD

What is your current position? I am a Developer Advocate at StreamNative, working with the open source Apache Pulsar community. How long have you been working in tech? I have been working in tech related jobs from analyst to web master to programmer to field engineer to sales engineer to developer advocate for over 22 years. What is your educational background? I have a BS and an MS in Computer Science from a state school. I have been coding since I was 7 on various 4-bit, 8-bit and 16-bit computers. Have you ever had a mentor? I have had a number of mentors over the years at various companies. You really need to find experienced people where ever you go and be helpful. What was the best piece of advice you got over the course of your career? Keep learning, listen and speak at meetups. How relevant was self-learning to where you are today? It is more important than college. Always be learning from stackoverflow, github, twitch, youtube, open source sites, dzone and articles. Knowing what you do now, where do you think one should start learning if they want to work in your position one day? Start with a github and pick some open source projects that look interesting. I would start with Python as a language. What is the work-related achievement you’re the most proud of? Becoming a Principal Field Engineer at Cloudera was a big deal. I also received Sales Engineer of the Year which was awesome. What do you think is the biggest myth about starting a career in tech? It’s a myth to think you need a love of math, a masters from a fancy school or some special degree. You need the interest and effort. Put in the time, if you don’t like doing it, you can still succeed but it’s going to be pretty boring and difficult. On a less serious note: What do you listen to while working? I love 80s New Wave, Goth, Industrial and EBM. Thanks so much for taking the time to tell us more about your career path. Any words of wisdom for aspiring techies? Start a blog / podcast / vlog, document your learning while sharing. Hang out on github and try some Open Source. Help yourself by helping others.

Get a Job in Tech: Tim's Experience as a Developer Advocate

Using the New Spring Boot - Apache Pulsar Integration : Code https://github.com/tspannhw/spring-pulsar-airquality New Spring Module for Apache Pulsar This uses https://github.com/spring-projects-experimental/spring-pulsar This is how we can easily utilize the new Spring library for Pulsar applications. Setup Visual Code with Spring Boot 3.0.0. & Java JDK 17 Apache Pulsar Version 2.10.1 works with 2.9.1+ Set an environment variable with your API key code from AirNow Point to your Apache Pulsar cluster, if you are using StreamNative cloud I have SSL and configuration in the config class src/main/resources/application.yml Basic Java Source Code import org.apache.pulsar.client.api.MessageId; import org.apache.pulsar.client.api.Schema; import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Value;import org.springframework.boot.CommandLineRunner;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;import org.springframework.pulsar.core.PulsarProducerFactory;import org.springframework.pulsar.core.PulsarTemplate; @Autowired private PulsarProducerFactory<Observation> producerFactory; PulsarTemplate<Observation> pulsarTemplate = new PulsarTemplate<>(producerFactory); pulsarTemplate.setSchema(Schema.JSON(Observation.class)); MessageId msgid = pulsarTemplate.newMessage(observation2) .withMessageCustomizer((mb) -> mb.key(uuidKey.toString())) .withTopic(topicName) .send(); That's all that is required to send messages with a schema from Spring to Apache Pulsar, very easy. Spark Run Once the data is in Apache Pulsar, we can easily query it with Apache Spark.  An example run is included below. val dfPulsar = spark.readStream.format("pulsar").option("service.url", "pulsar://pulsar1:6650").option("admin.url", "http://pulsar1:8080").option("topic", "persistent://public/default/airquality").load() dfPulsar.printSchema() root |-- additionalProperties: map (nullable = true) |    |-- key: string |    |-- value: struct (valueContainsNull = false) |-- aqi: integer (nullable = true) |-- category: struct (nullable = true) |    |-- additionalProperties: map (nullable = true) |    |    |-- key: string |    |    |-- value: struct (valueContainsNull = false) |    |-- name: string (nullable = true) |    |-- number: integer (nullable = true) |-- dateObserved: string (nullable = true) |-- hourObserved: integer (nullable = true) |-- latitude: double (nullable = true) |-- localTimeZone: string (nullable = true) |-- longitude: double (nullable = true) |-- parameterName: string (nullable = true) |-- reportingArea: string (nullable = true) |-- stateCode: string (nullable = true) |-- __key: binary (nullable = true) |-- __topic: string (nullable = true) |-- __messageId: binary (nullable = true) |-- __publishTime: timestamp (nullable = true) |-- __eventTime: timestamp (nullable = true) |-- __messageProperties: map (nullable = true) |    |-- key: string |    |-- value: string (valueContainsNull = true) val pQuery = dfPulsar.selectExpr("*").writeStream.format("console").option("truncate", false).start() val pQuery = dfPulsar.selectExpr("CAST(__key AS STRING)", "CAST(aqi AS INTEGER)", "CAST(dateObserved AS STRING)", "CAST(hourObserved AS INTEGER)", "CAST(latitude AS DOUBLE)", "CAST(localTimeZone AS STRING)", "CAST(longitude AS DOUBLE)", "CAST(parameterName AS STRING)", "CAST(reportingArea AS STRING)", "CAST(stateCode AS STRING)") .as[(String, Integer, String, Integer, Double, String, Double, String, String, String)] .writeStream.format("csv") .option("truncate", "false") .option("header", true) .option("path", "/opt/demo/airquality") .option("checkpointLocation", "/tmp/checkpoint") .start() pQuery.explain() Apache Flink Continuous SQL over Apache Pulsar Topics As you can see below it is very easy to build a SQL query against our streaming data live. select aqi, parameterName, dateObserved, hourObserved, latitude, longitude, localTimeZone, stateCode, reportingArea from airquality select max(aqi) as MaxAQI, parameterName, reportingArea from airquality group by parameterName, reportingArea; select max(aqi) as MaxAQI, min(aqi) as MinAQI, avg(aqi) as AvgAQI, count(aqi) as RowCount, parameterName, reportingArea from airquality group by parameterName, reportingArea; Command Line Consumer ----- got message ----- key:[2e725251-c977-46b4-ae81-45a675a1a473], properties:[], content:{"dateObserved":"2022-04-07 ","hourObserved":13,"localTimeZone":"EST","reportingArea":"Atlanta","stateCode":"GA","latitude":33.65,"longitude":-84.43,"parameterName":"O3","aqi":40,"category":{"number":1,"name":"Good","additionalProperties":{}},"additionalProperties":{}} ----- got message ----- key:[c0ec765d-38b9-4416-bb27-daa80e7654ff], properties:[], content:{"dateObserved":"2022-04-07 ","hourObserved":13,"localTimeZone":"EST","reportingArea":"Atlanta","stateCode":"GA","latitude":33.65,"longitude":-84.43,"parameterName":"PM2.5","aqi":18,"category":{"number":1,"name":"Good","additionalProperties":{}},"additionalProperties":{}} ----- got message ----- key:[7a7f567a-b9d7-470e-992e-86a2c24c9ce8], properties:[], content:{"dateObserved":"2022-04-07 ","hourObserved":13,"localTimeZone":"EST","reportingArea":"Atlanta","stateCode":"GA","latitude":33.65,"longitude":-84.43,"parameterName":"PM10","aqi":17,"category":{"number":1,"name":"Good","additionalProperties":{}},"additionalProperties":{}} For more resources see below. Connecting to Data for Updates/Lookup - ScyllaDB https://github.com/tspannhw/airquality-datastore Resources https://docs.airnowapi.org/ https://docs.airnowapi.org/webservices https://www.airnow.gov/ https://community.cloudera.com/t5/Community-Articles/Tracking-Air-Quality-with-HDP-and-HDF-Part-1-Apache-NiFi/ta-p/248265 http://feeds.enviroflash.info/rss/forecast/479.xml http://feeds.enviroflash.info/ https://github.com/tspannhw/FLiPN-AirQuality-REST Also Published Here

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Cloudera

Cloudera

cloudera.com

2728 employees

Since 2008

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Cloudera

EVERGREEN INDEX #1880

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