Mixhalo

mixhalo

Today’s smartphone owners can easily incorporate augmented reality into the real world with the help of their device's camera and visual positioning systems. Read on to discover how VPS is already used to create immersive AR experiences. Modern smartphone users are already familiar with the capabilities of augmented reality in their smartphones. AR filters on Instagram and Snapchat aren’t out of the ordinary anymore. As well as placing AR furniture in your apartment to check how it could look before buying. But what if augmented reality could be visible as a persistent layer of content which could be accessible through our smartphone or maybe later through AR glasses? A number of  projects emerged last year that could make it possible with a visual positioning technology (or VPS) — the localisation technology based on computer vision that helps to determine a user’s whereabouts by analysing visual cues of a known location. The technology can be used to identify position and orientation with a 0.5 metre accuracy both outdoors and indoors. VPS-powered solutions are supported by most modern smartphones. You can also create your own VPS experience with nothing more than a camera-fitted phone and a dedicated framework, no expensive 360-degree cameras necessary. The VPS technology enables a device to display handy or fun content over a camera image. A player can be fighting off robots in their favourite coffee shop without troubling other visitors (or getting unwanted attention from mental health services). A traveller can quickly get to the airport gate by simply following directions displayed on the screen. Let’s explore how and where the VPS and AR technology is used today. Navigation Navigation apps with an augmented reality can help you quickly locate your airport gate or find your way around a large mall. Simply follow the directions displayed on the screen right on top of the camera image. VPS can accurately navigate users even in those spaces where GPS signal is limited, such as malls, airports or office centres. Using computer vision to identify a user's precise location enables the development of a new level of navigation apps for indoors that could show a path from point A to point B with an augmented reality guidance on the screen. Using that accuracy the app could place AR content on a real object so a VPS-enabled app can be used as a museum guide or be a helpful tool for navigation on an industrial plant. Moreover, unlike the GPS, the VPS apps could determine not only the position of the user, but also the floor on which he is for a smooth navigation UX in a multi-storey building. Check out how UK startup Hyper (ex-Dent Reality) uses VPS to offer a navigation for retail. https://www.youtube.com/watch?v=hbubGuYqBiI&embedable=true Navigation with a VPS could also be used to improve the user's experience outdoors. Niantic’s CEO John Hanke describe them perfectly on an interview to The Verge: If you’ve ever had that experience of coming out of a subway station and trying to orient yourself, you walk a block before you realize you’re going in the wrong direction. There’s an AR map that lets a camera know exactly what it’s looking at in the world so that you can make the pokémon hide behind the park bench, or you can provide the information about the public artwork or the menu or the airport check-in. Yes, the experience can also be gamified. Once the app calculates walking time to the gate, a message pops up inviting you to grab a quick cup in the airport’s coffee corner. So you arrive at the gate on time and get a good deal on your coffee. Marketing and Storytelling A game where users earn their discount by shooting a ball through the hoop that appears on the company's headquarters? Easy! With VPS contextual ads can be placed virtually anywhere: buildings, streets, billboards, or bus stops—you name it. Location-based AR advertising campaigns are extremely viral. As users actively engage with interactive AR ads they compel others to join the fun. Just take a look at the virtual band Gorillaz performed in London. The buzz such events create can be compared to the virality of Fortnite’s in-game concerts. The project was based on Google GeoSpatial API that’s . the amazing AR show powered by VPS Social Media AR is becoming the drive of collaborative creative expression in social media. As a shared AR experience, users can paint over the entire street or try on face filters together and then post the result. Snap is the key player in the AR landscape, though other platforms are starting to catch up. Especially since content creation can be seamlessly merged with marketing campaigns. Also, AR is a powerful tool for attracting, retaining, and engaging with users on social networks. Snap is increasing its focus on AR as it recognises the great potential this technology has for attracting users with AR campaigns. By identifying users in a shared virtual space, multiuser AR experiences can also prompt virtual interactions to turn into real-life ones (as long as all the users agree, of course). A great example of this is a project by the Snap AR team that turned Paris's iconic Centre Pompidou into an auditory experience by Christian Marclay. As I can gather it also uses Snap's local lenses technology for precise placement of AR content above Centre Pompidou. https://www.youtube.com/watch?v=jDTCoxuWRHk&embedable=true Tourism AR can greatly enhance travel experience by educating tourists about places of interest or visualising what a street or a landmark looked like 5 or 500 years ago. Combined with navigation, AR can be used to create custom self-guided tours where routes are tailored to users’ tastes: an architecture photography enthusiast will discover a city’s most iconic buildings while a coffee aficionado will embark on a coffee shop tour. City Guide Tour already offers around the world's most visited cities. interactive guides Live Events With the key information about the game displayed on a screen over a camera image smartphones can boost fan experiences at football, hockey or other sporting events. As part of live performances, AR can transform a concert into a powerful interactive show where artists turn themselves into digital avatars. Alternatively, offers immersive sound experiences—as concert attendees put on headphones, not only can they access studio-quality sound but also tune into a specific instrument or vocal mix. Mixhalo Games Gaming is one of the leading and fastest growing industries in terms of AR adoption. Take the record breaking Pokemon Go — the game still has thousands of fans worldwide. Soon we will see a large number of games that are set in real environments, such as streets or even buildings, rather than an imaginary world. It comes as little surprise that by 2027, the global market size for AR gaming $33 billion, growing by 30-40% year-on-year and demonstrating a tenfold increase compared to 2020 levels. And this is just the beginning. is estimated to top Final Thoughts VPS has already greatly transformed AR experiences. With further advancement of the technology, the applications of AR will be practically limitless. Can’t wait to see more remarkable projects hitting the scene this year!

Reality with a Touch of the Virtual: How VPS Advances AR for Smartphones

ভার্চুয়ালের স্পর্শের সাথে বাস্তবতা: স্মার্টফোনের জন্য কীভাবে ভিপিএস এআরকে অগ্রসর করে

Realität mit einem Hauch von Virtuellem: Wie VPS AR für Smartphones vorantreibt

Realidad con un toque de lo virtual: cómo VPS avanza AR para teléfonos inteligentes

Réalité avec une touche de virtuel : comment VPS fait progresser la RA pour les smartphones

वर्चुअल टच के साथ वास्तविकता: स्मार्टफोन के लिए वीपीएस एआर को कैसे आगे बढ़ाता है

仮想のタッチによる現実: VPS がスマートフォンの AR をどのように進化させるか

가상의 터치를 통한 현실: VPS가 스마트폰용 AR을 발전시키는 방법

Realidade com um toque de virtual: como o VPS avança o AR para smartphones

Sanal Dokunuşla Gerçeklik: VPS, Akıllı Telefonlar için AR'yi Nasıl Geliştiriyor?

Thực tế với một cái chạm ảo: Cách VPS nâng cao AR cho điện thoại thông minh

现实与虚拟的接触：VPS 如何推动智能手机的 AR

This paper is under CC 4.0 license. available on arxiv Authors: (1) Macoto Kikuchi (菊池誠), Cybermedia center, Osaka University, and Department of Physics, Osaka University and kikuchi.macoto.cmc@osaka-u.ac.jp. Table of Links Introduction Model and Methods Results Discussion and Acknowledgment IV. DISCUSSION The results presented in this paper suggest that the one-way switches are hardly selected in evolution because mutationally robust GNRs are favored. This scenario of the phenotype selection was confirmed by comparing the outcomes of the multicanonical ensemble method and the steady state of stochastic evolutionary simulations because the steady state does not depend on the evolutionary history. We consider this selection mechanism to be widely valid and not restricted to the case studied in this paper. Since this phenotype selection can occur whenever more than one phenotype exists for the same fitness value, we expect this phenomenon to occur in real living systems. We may call it the third-order selection because it is a consequence of the second-order selection. Since the second-order selection is a weak effect, the above phenotypic selection may be a further weak effect. However, as the present results suggest, the phenomenon may become significant if the steady state of evolution is maintained. Such situations can be realized experimentally. For example, it will be possible for the effect to be observed for bacteria under constant stress. It should be noted that what is the matter is not the absolute strength of mutational robustness but its relative strength. Thus, phenotype selection can occur even between mutationally not-so-robust phenotypes. Next, let us consider an implication of the evolution of the model dealt with observed in this paper. The result of McMC shows that most GRNs are monostable at low fitness; then as fitness increases the toggle switches dominate, and eventually most GRNs become one-way switches. A one-way switch of GRN realizes an irreversible change in the cell states. We note that irreversibility was not required in the definition of fitness. Thus, the irreversible switches can emerge even without it being required explicitly as fitness. It suggests the possibility that the irreversibility observed for real cells has evolved from the monostable reversible GRNs. Finally, the present study shows that McMC is an effective method for investigating characteristic properties of evolution. McMC clarifies what kind of phenotypes can exist if the evolution process is not considered. The fact that the outcomes of McMC and evolutionary simulation differ considerably implies a possibility that some phenotypes are not reached by evolution. Considering the experimental situation, such phenotypes may be accessible by direct genome engineering other than evolutionary experiments. Apart from the evolution of living systems, the present results give an insight into the genetic algorithm (GA) of optimization problems; GA is not a fair method for optimization; rather, it will provide the phenotypes bearing a specific property, namely, the mutational robustness, as the optimized solutions. ACKNOWLEDGMENTS This work was supported by JSPS KAKENHI Grant Number 23K03261. [1] H. Kitano, Biological robustness, Nat Rev Genet 5, 828 (2004). [2] A. Wagner, Robustness and Evolvability in Living Systems (Princeton Univ Press, 2005). [3] J. Masel and M. L. Siegal, Robustness: mechanisms and consequences, Trends Genet 25, 395 (2009). [4] G. Giaever, A. M. Chu, L. Ni, C. Connelly, L. Riles, S. Veronneau, S. Dow, A. Lucau-Danila, K. Anderson, B. Andre, A. P. Arkin, A. Astromoff, M. E. Bakkoury, R. Bangham, R. Benito, S. Brachat, S. Campanaro, M. Curtiss, K. Davis, A. Deutschbauer, K. D. Entian, P. Flaherty, F. Foury, D. J. Garfinkel, M. Gerstein, D. Gotte, U. Gludener, J. H. Hegemann, S. Hempel, Z. Herman, D. F. Jaramillo, D. E. Kelly, S. L. Kelly, P. Kotter, D. LaBonte, D. C. Lamb, N. Lan, H. Liang, H. Liao, L. Liu, C. Luo, M. Lussier, R. Mao, P. Menard, S. L. Ooi, J. L. Revuelta, C. J. Roberts, M. Rose, P. RossMacdonald, B. Scherens, G. Schimmack, B. Shafer, D. D. Shoemaker, S. Sookhai-Mahadeo, R. K. Storms, J. N. Strathern, G. Valle1, M. Voet, G. Volckaert, C. Y. Wang, T. R. Ward, J. Wilhelmy, E. A. Winzeler, Y. Yang, G. Yen, E. Youngman, K. Yu, H. Bussey, J. D. Boeke, M. Snyder, P. Philippsen, R. W. Davis, and M. Johnston, Functional profiling of the saccharomyces cerevisiae genome, Nature 418, 387 (2002). [5] T. Baba, T. Ara, M. Hasegawa, Y. Takai, Y. Okumura, M. Baba, K. A. Datsenko, M. Tomita, B. L. Wanner, and H. Mori, Construction of escherichia coli k-12 in-frame, single-gene knockout mutants: the keio collection, Mol Syst Biol 2, 2006.0008 (2006). [6] D. U. Kim, J. Hayles, D. Kim, V. Wood, H. O. Park, M. Won, H. S. Yoo, T. Duhig, M. Nam, G. Palmer, S. Han, L. Jeffery, S. T. Baek, H. Lee, Y. S. Shim, M. Lee, L. K. and. K. S. Heo, E. J. Noh, A. R. Lee, Y. J. Jang, K. S. Chung, S. J. Choi, J. Y. Park, Y. Park, H. M. Kim, S. K. Park, H. J. Park, E. J. Kang, H. B. Kim, H. S. Kang, H. M. Park, K. Kim, K. Song, K. B. Song, P. Nurse, and K. L. Hoe, Analysis of a genome-wide set of gene deletions in the fission yeast schizosaccharomyces pombe, Nat Biotechnol 28, 617 (2010). [7] M. Isaran, C. Lemerle, K. Michalodimitrakis, C. Horn, P. Beltrao, E. Raineri, M. Garriga-Canut, and L. Serrano, Evolvability and hierarchy in rewired bacterial gene networks, Nature 452, 840 (2008). [8] E. van Nimwegen, J. P. Crutchfield, and M. Huynen, Neutral evolution of mutational robustness, Proc Natl Acad Sci USA 17, 9716 (1999). [9] S. Ciliberti, O. C. Martin, and A. Wagner, Robustness can evolve gradually in complex regulatory gene networks with varying topology, PLoS Comput Biol 3, e15 (2007). [10] S. Ciliberti, O. C. Martin, and A. Wagner, Innovation and robustness in complex regulatory gene networks, Proc Natl Acad Sci USA 104, 13591 (2007). [11] B. A. Berg and T. Neuhaus, Multicanonical algorithms for first order phase transitions, Phys Lett B267, 249 (1991). [12] B. A. Berg and T. Neuhaus, Multicanonical ensemble: A new approach to simulate first-order phase transitions, Phys Rev Lett 68, 9 (1992). [13] Y. Iba, N. Saito, and A. Kitajima, Multicanonical mcmc for sampling rare events: an illustrative review, Ann Inst Stat Math 66, 611 (2014). [14] A. Kitajima and M. Kikuchi, Numerous but rare: An exploration of magic squares, PLoS ONE 10, e0125062 (2015). [15] N. Saito and M. Kikuchi, Robustness leads close to the edge of chaos in coupled map networks: toward the understanding of biological networks, New J Phys 15, 053037 (2013). [16] S. Nagata and M. Kikuchi, Emergence of cooperative bistability and robustness of gene regulatory networks, PLoS Comput Biol 16, e1007969 (2020). [17] T. Kaneko and M. Kikuchi, Evolution enhances mutational robustness and suppresses the emergence of a new phenotype: A new computational approach for studying evolution, PLoS Comput Biol 18, e1009796 (2022). [18] Y. Omachi, N. Saito, and C. Furusawa, Rare-event sampling analysis uncovers the fitness landscape of the genetic code, PLoS Comput Biol 19, e1011034 (2023). [19] J. J. Tyson, K. C. Chen, and B. Novak, Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell, Curr Opin Cell Biol 15, 221 (2003). [20] J. E. Ferrell and E. M. Machleder, The biochemical bases of an all-or-none cell fate switch in xenopus oocytes, Science 280, 895 (1998). [21] E. Mjolsness, D. H. Sharp, and J. Reinitz, A connectionist model of development, J Theor Biol 152, 429 (1991). [22] A. Wagner, Evolution of gene networks by gene duplications: A mathematical model and its implications on genome organization, Proc Natl Acad Sci USA 91, 4387 (1994). [23] A. Wagner, Does evolutionary plasticity evolve, Evolution 50, 1008 (1996). [24] M. L. Siegal and A. Bergman, Waddington’s canalization revisited: developmental stability and evolution, Proc Natl Acad Sci USA 99, 10528 (2002). [25] J. Masel, Genetic assimilation can occur in the absence of selection for the assimilating phenotype, suggesting a role for the canalization heuristic, J Evol Biol 17, 1106 (2004). [26] K. Kaneko, Evolution of robustness to noise and mutation in gene expression dynamics, PLoS one 2, e434 (2007). [27] C. Espinosa-Soto, O. C. Martin, and A. Wagner, Phenotypic robustness can increase phenotypic variability after nongenetic perturbations in gene regulatory circuits, J Evol Biol 24, 1284 (2011). [28] M. Inoue and K. Kaneko, Cooperative adaptive responses in gene regulatory networks with many degrees of freedom, PLoS Comput Biol 9, e1003001 (2013). [29] M. Inoue and K. Kaneko, Cooperative reliable response from sloppy gene-expression dynamics, Eutophys Lett 124, 38002 (2018). [30] F. Wang and D. P. Landau, Efficient, multiple-range random walk algorithm to calculate the density of state, Phys Rev Lett 86, 2050 (2001). [31] F. Wang and D. P. Landau, Determining the density of states for classical statistical models: A random walk algorithm to produce a flat histogram, Phys Rev E 64, 056101 (2001). [32] J. Lee, New monte carlo algorithm: Entropic sampling, Phys Rev Lett 71, 211 (1993).

Phenotype Selection due to Mutational Robustness: Discussion & Acknowledgment

Welcome to another results announcement of the DevOps Writing Contest, hosted by Aptible and HackerNoon. Kudos to everyone who has participated in this contest! Your active participation has made this contest a success, and it helps us bring more sponsored tags with more prizes for the HackerNoon community. To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests’ updates today! Without further ado, let’s see who won. The DevOps Writing Contest: Round 5 Finalists Examine Your App's Speed and Bottlenecks: A Tutorial to Mastering Performance Testing with K6! by @gultm.
3 Ways DevOps Developers Can Gain from 2024 SaaS Growth by @sipping.
Kubernetes Best Practices for Maximum Efficiency by @mariusz_michalowski.
Seamless Implementation of Safety Practices in the DevOps Pipeline by @goal23.
Container Security Unveiled: Protecting Your Digital Cargo With a Touch of Humor 🛡️ by @z3nch4n.
Implementing Canary Releases with Apache APISIX by @nfrankel.
Beginner's Guide to Docker Image Deployment With Aptible (and Get a Free Shirt!) by @bennykillua.
Helm Sub-Charts Demystified: A Guide to Efficient Deployments by @krishnaduttpanchagnula.
Exploring DevOps Metrics in Human Terms - Part 1 by @annasher. (Disqualified - reason: fake profile by a disqualified writer) 🏆And the Winners Are The story that has taken the first place with 33% of the votes is: https://hackernoon.com/seamless-implementation-of-safety-practices-in-the-devops-pipeline?embedable=true “Today, DevSecOps is no longer some newfangled trend you can safely do without. In today's conditions, process practices are mandatory for everyone who has something to do with software development. It is only important to decide how much to implement them. No tool is a bullet, so when implementing it, it is important to think about people and the existing processes of the company, as well as about the possibilities of their interaction with each other.” Congratulations @goal23, you have won $1500 !! In the second place, we have: https://hackernoon.com/helm-sub-charts-demystified-a-guide-to-efficient-deployments?embedable=true When deploying multiple resources to Kubernetes, it is often challenging to keep track of all the resources, image tags, and environment variables distributed across multiple manifest files. To address this issue, manifest templating tools such as Kustomize and Helm exist, simplifying large, complex manifest files to templates with customization available through values.yaml. This provides flexibility with a single template across multiple environments (e.g., QA, staging, production), with changes configured via the values.yaml file. Additionally, it offers ease-of-use for end-users to deploy into any new environment with just a single command. Congratulations, @krishnaduttpanchagnula! You have won $1,000! The third place goes to: https://hackernoon.com/container-security-unveiled-protecting-your-digital-cargo-with-a-touch-of-humor?embedable=true When you embrace immutability, you eliminate the risk of unintentional changes or misconfigurations that could introduce security weaknesses. It's like putting a protective force field around your containers, shielding them from any potential harm.
By adhering to a strict policy of not modifying running containers, you create a stable and secure environment for your applications to thrive, leaving hackers scratching their heads and wondering how to get past your impenetrable defense. You have won $500, @z3nch4n! Congratulations again to all the winners of the DevOps Writing Contest! Here are the next steps to claim your prize: Please contact yes-reply@hackernoon.com and sidra@hackernoon.com using the email ID attached to the winner's Hackernoon account.
We will validate your claim and share a form requesting your bank details for reward distribution.
You will receive your winnings in 2-4 weeks after filling out the form. Please note that you must contact us within 60 days after the winners’ announcement date. About Aptible Aptible’s hosting platform automates the work of provisioning, managing, and scaling infrastructure so developers can focus on what actually matters: their product. Get started for free with Aptible. The HackerNoon writing contests primarily aim to celebrate quality content and recruit educational stories for our community. We congratulate all the finalists and winners. However, the Editorial team can ban a writer and/or disqualify a story if we find any misconduct like plagiarism, copyright infringement, or disinformation.
To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests’ updates today! Visit contests.hackernoon.com to learn more about running and upcoming contests. Welcome to another results announcement of the DevOps Writing Contest, hosted by Aptible and HackerNoon. Kudos to everyone who has participated in this contest! Your active participation has made this contest a success, and it helps us bring more sponsored tags with more prizes for the HackerNoon community. To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests’ updates today! To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests ’ updates today! hackernooncontests hackernooncontests Without further ado, let’s see who won. The DevOps Writing Contest: Round 5 Finalists Examine Your App's Speed and Bottlenecks: A Tutorial to Mastering Performance Testing with K6! by @gultm. 3 Ways DevOps Developers Can Gain from 2024 SaaS Growth by @sipping. Kubernetes Best Practices for Maximum Efficiency by @mariusz_michalowski. Seamless Implementation of Safety Practices in the DevOps Pipeline by @goal23. Container Security Unveiled: Protecting Your Digital Cargo With a Touch of Humor 🛡️ by @z3nch4n. Implementing Canary Releases with Apache APISIX by @nfrankel. Beginner's Guide to Docker Image Deployment With Aptible (and Get a Free Shirt!) by @bennykillua. Helm Sub-Charts Demystified: A Guide to Efficient Deployments by @krishnaduttpanchagnula. Exploring DevOps Metrics in Human Terms - Part 1 by @annasher. (Disqualified - reason: fake profile by a disqualified writer) Examine Your App's Speed and Bottlenecks: A Tutorial to Mastering Performance Testing with K6! by @gultm . Examine Your App's Speed and Bottlenecks: A Tutorial to Mastering Performance Testing with K6! @gultm 3 Ways DevOps Developers Can Gain from 2024 SaaS Growth by @sipping . 3 Ways DevOps Developers Can Gain from 2024 SaaS Growth @sipping Kubernetes Best Practices for Maximum Efficiency by @mariusz_michalowski . Kubernetes Best Practices for Maximum Efficiency @mariusz_michalowski Seamless Implementation of Safety Practices in the DevOps Pipeline by @goal23 . Seamless Implementation of Safety Practices in the DevOps Pipeline @goal23 Container Security Unveiled: Protecting Your Digital Cargo With a Touch of Humor 🛡️ by @z3nch4n . Container Security Unveiled: Protecting Your Digital Cargo With a Touch of Humor 🛡️ @z3nch4n Implementing Canary Releases with Apache APISIX by @nfrankel . Implementing Canary Releases with Apache APISIX @nfrankel Beginner's Guide to Docker Image Deployment With Aptible (and Get a Free Shirt!) by @bennykillua . Beginner's Guide to Docker Image Deployment With Aptible (and Get a Free Shirt!) @bennykillua Helm Sub-Charts Demystified: A Guide to Efficient Deployments by @krishnaduttpanchagnula . Helm Sub-Charts Demystified: A Guide to Efficient Deployments @krishnaduttpanchagnula Exploring DevOps Metrics in Human Terms - Part 1 by @annasher . ( Disqualified - reason: fake profile by a disqualified writer ) Exploring DevOps Metrics in Human Terms - Part 1 @annasher Disqualified - reason: fake profile by a disqualified writer 🏆And the Winners Are The story that has taken the first place with 33% of the votes is: https://hackernoon.com/seamless-implementation-of-safety-practices-in-the-devops-pipeline?embedable=true https://hackernoon.com/seamless-implementation-of-safety-practices-in-the-devops-pipeline?embedable=true “Today, DevSecOps is no longer some newfangled trend you can safely do without. In today's conditions, process practices are mandatory for everyone who has something to do with software development. It is only important to decide how much to implement them. No tool is a bullet, so when implementing it, it is important to think about people and the existing processes of the company, as well as about the possibilities of their interaction with each other.” “Today, DevSecOps is no longer some newfangled trend you can safely do without. In today's conditions, process practices are mandatory for everyone who has something to do with software development. It is only important to decide how much to implement them. No tool is a bullet, so when implementing it, it is important to think about people and the existing processes of the company, as well as about the possibilities of their interaction with each other.” Congratulations @goal23, you have won $1500 !! Congratulations @goal23 , you have won $1500 !! @goal23 In the second place, we have: https://hackernoon.com/helm-sub-charts-demystified-a-guide-to-efficient-deployments?embedable=true https://hackernoon.com/helm-sub-charts-demystified-a-guide-to-efficient-deployments?embedable=true When deploying multiple resources to Kubernetes, it is often challenging to keep track of all the resources, image tags, and environment variables distributed across multiple manifest files. To address this issue, manifest templating tools such as Kustomize and Helm exist, simplifying large, complex manifest files to templates with customization available through values.yaml. This provides flexibility with a single template across multiple environments (e.g., QA, staging, production), with changes configured via the values.yaml file. Additionally, it offers ease-of-use for end-users to deploy into any new environment with just a single command. When deploying multiple resources to Kubernetes, it is often challenging to keep track of all the resources, image tags, and environment variables distributed across multiple manifest files. To address this issue, manifest templating tools such as Kustomize and Helm exist, simplifying large, complex manifest files to templates with customization available through values.yaml. This provides flexibility with a single template across multiple environments (e.g., QA, staging, production), with changes configured via the values.yaml file. Additionally, it offers ease-of-use for end-users to deploy into any new environment with just a single command. Congratulations, @krishnaduttpanchagnula ! You have won $1,000! @krishnaduttpanchagnula The third place goes to: https://hackernoon.com/container-security-unveiled-protecting-your-digital-cargo-with-a-touch-of-humor?embedable=true https://hackernoon.com/container-security-unveiled-protecting-your-digital-cargo-with-a-touch-of-humor?embedable=true When you embrace immutability, you eliminate the risk of unintentional changes or misconfigurations that could introduce security weaknesses. It's like putting a protective force field around your containers, shielding them from any potential harm. By adhering to a strict policy of not modifying running containers, you create a stable and secure environment for your applications to thrive, leaving hackers scratching their heads and wondering how to get past your impenetrable defense. When you embrace immutability, you eliminate the risk of unintentional changes or misconfigurations that could introduce security weaknesses. It's like putting a protective force field around your containers, shielding them from any potential harm. By adhering to a strict policy of not modifying running containers, you create a stable and secure environment for your applications to thrive, leaving hackers scratching their heads and wondering how to get past your impenetrable defense. You have won $500, @z3nch4n ! @z3nch4n Congratulations again to all the winners of the DevOps Writing Contest! Here are the next steps to claim your prize: Please contact yes-reply@hackernoon.com and sidra@hackernoon.com using the email ID attached to the winner's Hackernoon account. We will validate your claim and share a form requesting your bank details for reward distribution. You will receive your winnings in 2-4 weeks after filling out the form. Please contact yes-reply@hackernoon.com and sidra@hackernoon.com using the email ID attached to the winner's Hackernoon account. We will validate your claim and share a form requesting your bank details for reward distribution. You will receive your winnings in 2-4 weeks after filling out the form. Please note that you must contact us within 60 days after the winners’ announcement date. About Aptible Aptible’s hosting platform automates the work of provisioning, managing, and scaling infrastructure so developers can focus on what actually matters: their product. Get started for free with Aptible . Aptible The HackerNoon writing contests primarily aim to celebrate quality content and recruit educational stories for our community. We congratulate all the finalists and winners. However, the Editorial team can ban a writer and/or disqualify a story if we find any misconduct like plagiarism, copyright infringement, or disinformation. To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests’ updates today! The HackerNoon writing contests primarily aim to celebrate quality content and recruit educational stories for our community. We congratulate all the finalists and winners. However, the Editorial team can ban a writer and/or disqualify a story if we find any misconduct like plagiarism, copyright infringement, or disinformation. To get all winner announcements and notifications directly in your mail, subscribe to hackernooncontests ’ updates today! hackernooncontests hackernooncontests Visit contests.hackernoon.com to learn more about running and upcoming contests. Visit contests.hackernoon.com to learn more about running and upcoming contests. Visit contests.hackernoon.com to learn more about running and upcoming contests. contests.hackernoon.com

The DevOps Writing Contest: Round 5 Results Announced!

DevOps রচনা প্রতিযোগিতা: রাউন্ড 5 এর ফলাফল ঘোষণা করা হয়েছে!

Der DevOps-Schreibwettbewerb: Ergebnisse der fünften Runde bekannt gegeben!

Concurso de redacción de DevOps: ¡Se anuncian los resultados de la quinta ronda!

Le concours d'écriture DevOps : les résultats du cinquième tour sont annoncés !

डेवऑप्स लेखन प्रतियोगिता: राउंड 5 के परिणाम घोषित!

DevOps ライティング コンテスト: 第 5 回の結果が発表されました!

DevOps 글쓰기 콘테스트: 5라운드 결과 발표!

O Concurso de Redação DevOps: Anunciados os resultados da 5ª rodada!

Конкурс писателей DevOps: объявлены результаты 5-го тура!

DevOps Yazma Yarışması: 5. Tur Sonuçları Açıklandı!

Cuộc thi viết DevOps: Công bố kết quả vòng 5!

DevOps 写作大赛：第五轮结果公布！

A NOVEL IN NINE LETTERS

How to Create an SEO Content Outline (According to 20+ Pro Content Marketers)

So you want to earn money by making websites? Five years ago, I was in your shoes searching for an article like this one. Whether you know it or you’re about to find out, building a website for a client has a lot of moving pieces. You need to design, hosting, building, communication with the client, learn how to structure your contract, and more. On your first project, you’re almost guaranteed to miss something, and that’s okay. You’ll get better with every site you build. I would’ve saved so much time if someone sat me down before my first project and showed me their workflow and the tools they used. And that’s what we’ll do today, show you the end-to-end workflow of how I create a website for a client. Hi, I’m Dylan, a Cloud Engineer living in Oregon. I made my first website for a client as a Senior in high school. That was five years ago. I like to think my workflow is dialed in now. But it wasn’t always that way. It took a ton of trial and error. Hopefully, by showing you the end-to-end process of how I make websites for clients, you can save yourself the hours of trial and error I went through to find a workflow that works. Initial Meeting First is your initial meeting with your client. The first meeting sets the tone for the rest of your interactions. Before we start the meeting, I think about getting my client in the right mindset. And throughout the whole meeting, I stress the value of a high-quality website. They’re usually busy people and view overhauling their website as a “chore”. So I make sure they know that the time they spend working on it will transfer to their bottom line. I have a few goals for this meeting, Understand the purpose of the website What pages they will need Special needs they have What vibe they’re going for Collaborate on how to implement the . hi-five conversion formula If there’s one thing to steal from me, it’s asking the golden question. ⭐️ When someone comes to your website, what do you want them to do? This allows me to understand how I can help them achieve their business objectives. At the end of the day, 99% of the time the website exists for users to buy, schedule an appointment, or subscribe. A tip for getting the vibe is to come to the meeting prepared with three websites of similar businesses. Let them tell you what they like and dislike about each. I keep all meeting notes in a Google Drive shared with the client so we can both reference them as the project goes on. Design Next, I use Figma to make an initial design of the website. It’s tempting to hop right into building, especially if you’re new to the tools, but trust me, just taking the time to learn a design tool like Figma will save you so much time down the road. The mockup stage is where you want to get as close to your final design as possible. Once you and the client are both in love with the design, then and only then, move to the next step. Once we love the design, it’s time to build. Build For a long time, I thought it was cool to build a website from scratch using pure HTML and CSS. I had this fear that the client would think I’m cheating if I used Wix. And you know what, they don’t care at all. They want an awesome website. That’s all they want. ⭐️ Actually, let me repeat that. , that’s why they hired you. All they want is an awesome website, they don’t care how you got there It’s up to you as the expert to decide the best tools for the job. If I’m making a static website for the local dentist’s office, I use Wix; they don’t need anything custom and it’ll probably look better than trying to design it on my own. If they need something custom, I use React, Tailwindcss for the front end and AWS Amplify for the backend. After the website is built, test it thoroughly then show it to the client. Almost always there will be some changes. Deploy Once you’re both happy it’s time to deploy. If you’re using Wix, they make it obvious how to deploy through them and as of right now will give you a free domain name for a year if you sign up for a premium package. If they don’t have the domain name promo, I use NameCheap. Amplify is also very straightforward to deploy and connect a domain name. I just follow the steps on the dashboard. 💵 Payment Lastly is payment. One of the most difficult parts I have in the whole process is getting my clients to pay me. I finally found a strategy this year that works out of ClockWork by Mike Michalowitz. ⭐️ When we negotiate the price, in the beginning, I offer the client a 15% discount if they pay in full upfront. I just mark the price up 15% so I’m still getting paid what I want if they say yes, and if they say no, they still pay half upfront or we make milestones. And there you have it. This was a 10,000-foot overview, let me know if you want more depth on any of the steps. In the beginning, I referenced the hi-five conversion formula. The ultimate goal of your customers' website is for someone to buy, schedule an appointment, or subscribe and the formula outlines how to make a website that does that. Check out the YouTube video if you’re interested. here Thanks for reading, I’ll see you in the next article!

How To Build Your First Website For A Client - Workflow and Tools 

Tips For Managing Terraform Variables

Internal Developer Platforms (IDPs) represent a new approach to how developers work, offering a unified, self-service platform that simplifies much of the complexity around infrastructure and operational tasks. Let’s take a closer look at how these platforms are impacting the developer experience. What is an IDP? An Internal Developer Platform (IDP) is a self-service, centralized system designed to provide development teams with all the necessary tools, environments, and resources for building, testing, and deploying software. Unlike traditional infrastructure management, where developers may need to request resources or manually set up environments, an IDP automates these processes, allowing developers to concentrate solely on coding and delivering new features. IDPs streamline the development process by abstracting away the complexity of infrastructure management, automating repetitive tasks, and providing standardized workflows. This helps accelerate development cycles and minimize the risk of errors that can arise from developers' manual infrastructure management. Working closely with Platform Engineering The success of an Internal Developer Platform (IDP) is closely tied to the work of platform engineering teams. Platform engineering is the discipline dedicated to designing, building, and maintaining the underlying infrastructure developers rely on to deliver software. These platform teams are responsible for creating robust, scalable, and secure platforms that meet the diverse needs of development teams across the organization. The platform team selects and optimizes the tools, practices, and infrastructure the IDP provides to developers, ensuring everything is tuned for performance, security, and reliability. Platform engineering enables organizations to offer a consistent and reliable developer experience across various environments, from local development to production. Such consistency is crucial for maintaining high-quality software and reducing the cognitive load on developers, allowing them to focus on their core strength — writing code. IDPs Key Features One of the major strengths of an IDP is its ability to offer features specifically designed to meet the needs of modern development teams. These features aren't just nice-to-haves—they're essential tools that enable developers to work more efficiently and with greater autonomy. Below are some of the most critical features of an IDP: Self-service environments — IDPs allow developers to create and manage their development, testing, and staging environments on demand, without needing manual assistance from operations teams. This self-service capability speeds up the development process and reduces the delays typically caused by waiting for infrastructure to be provisioned.
On-demand infrastructure — With an IDP, developers can provision the infrastructure they need exactly when they need it, often with just a few clicks or API calls. This feature eliminates the bottlenecks of traditional infrastructure management, where requests for new resources might take days or even weeks to fulfill. On-demand infrastructure ensures that development teams can scale resources up or down according to the specific needs of their projects.
Integrated security — IDPs integrate security best practices directly into the development workflow, including automated security scans, vulnerability assessments, and compliance checks that run seamlessly alongside development activities. By embedding security into the platform, IDPs ensure that security considerations are addressed early and consistently throughout the development lifecycle.
Automated workflows and pipelines — IDPs often come with pre-configured CI/CD pipelines and automation tools that standardize and streamline the build, test, and deployment processes. While these automation pipelines can be customized to meet the specific needs of different teams or projects, their core functionality is to reduce errors, speed up release cycles, and ensure consistency across deployments.
Observability and monitoring — A strong IDP includes tools for observability and monitoring, giving developers insights into the performance and health of their applications. This feature enables developers to quickly identify and resolve issues, minimizing downtime and improving the overall quality of the software being developed. The Impact on Development Teams The adoption of IDPs significantly impacts development teams, fundamentally changing how they work and the outcomes they achieve. IDPs' influence on development teams can be both positive and negative, affecting the speed, quality, and coordination of the development process. Positive impacts: Resource utilization — IDPs often provide specialized knowledge and tools essential to the development process, allowing teams to concentrate on core functionalities and rely on IDPs for components or services beyond their immediate expertise.
Consistency and standards — IDPs help ensure that development teams follow organizational standards and best practices. This consistency can result in higher-quality outputs and more maintainable systems.
Efficiency through Reuse — Leveraging IDPs enables teams to reuse existing components, reducing duplication of effort and accelerating the development process, which is particularly beneficial in large organizations where similar functionalities are needed across multiple projects. Negative impacts: Dependency bottlenecks — A significant risk is the potential for bottlenecks. If a team is waiting on deliverables from an IDP, delays in the IDP can stall the entire project. This dependency can reduce the team’s agility and impact timelines.
Coordination challenges — Working with IDPs often requires extensive coordination and communication, which can become complex and time-consuming. Misalignment in priorities, schedules, or understanding of requirements between teams and IDPs can lead to inefficiencies and conflicts.
Reduced autonomy — Development teams may feel less autonomous when they rely heavily on IDPs. This reliance can lead to frustration if the IDP fails to meet expectations or is perceived as a hindrance to the development process. Wrapping up IDPs are changing the way development teams operate by equipping them with the tools, environments, and infrastructure needed to be more autonomous, productive, and efficient. Harnessing the power of platform engineering enables organizations to create robust IDPs that streamline development processes while improving the quality and security of their software. As you refine your development practices, adopting IDPs can serve as a strategic move to empower your developers and drive innovation within your organization. Internal Developer Platforms (IDPs) represent a new approach to how developers work, offering a unified, self-service platform that simplifies much of the complexity around infrastructure and operational tasks. Let’s take a closer look at how these platforms are impacting the developer experience. What is an IDP? What is an IDP? An Internal Developer Platform (IDP) is a self-service, centralized system designed to provide development teams with all the necessary tools, environments, and resources for building, testing, and deploying software. Unlike traditional infrastructure management, where developers may need to request resources or manually set up environments, an IDP automates these processes, allowing developers to concentrate solely on coding and delivering new features. Internal Developer Platform (IDP) Internal Developer Platform (IDP) self-service, centralized system IDPs streamline the development process by abstracting away the complexity of infrastructure management, automating repetitive tasks, and providing standardized workflows. This helps accelerate development cycles and minimize the risk of errors that can arise from developers' manual infrastructure management. Working closely with Platform Engineering Working closely with Platform Engineering The success of an Internal Developer Platform (IDP) is closely tied to the work of platform engineering teams. Platform engineering is the discipline dedicated to designing, building, and maintaining the underlying infrastructure developers rely on to deliver software. These platform teams are responsible for creating robust, scalable, and secure platforms that meet the diverse needs of development teams across the organization. platform platforms The platform team selects and optimizes the tools, practices, and infrastructure the IDP provides to developers, ensuring everything is tuned for performance, security, and reliability. Platform engineering enables organizations to offer a consistent and reliable developer experience across various environments, from local development to production. Such consistency is crucial for maintaining high-quality software and reducing the cognitive load on developers, allowing them to focus on their core strength — writing code. IDPs Key Features IDPs Key Features One of the major strengths of an IDP is its ability to offer features specifically designed to meet the needs of modern development teams. These features aren't just nice-to-haves—they're essential tools that enable developers to work more efficiently and with greater autonomy. Below are some of the most critical features of an IDP: Self-service environments — IDPs allow developers to create and manage their development, testing, and staging environments on demand, without needing manual assistance from operations teams. This self-service capability speeds up the development process and reduces the delays typically caused by waiting for infrastructure to be provisioned. On-demand infrastructure — With an IDP, developers can provision the infrastructure they need exactly when they need it, often with just a few clicks or API calls. This feature eliminates the bottlenecks of traditional infrastructure management, where requests for new resources might take days or even weeks to fulfill. On-demand infrastructure ensures that development teams can scale resources up or down according to the specific needs of their projects. Integrated security — IDPs integrate security best practices directly into the development workflow, including automated security scans, vulnerability assessments, and compliance checks that run seamlessly alongside development activities. By embedding security into the platform, IDPs ensure that security considerations are addressed early and consistently throughout the development lifecycle. Automated workflows and pipelines — IDPs often come with pre-configured CI/CD pipelines and automation tools that standardize and streamline the build, test, and deployment processes. While these automation pipelines can be customized to meet the specific needs of different teams or projects, their core functionality is to reduce errors, speed up release cycles, and ensure consistency across deployments. Observability and monitoring — A strong IDP includes tools for observability and monitoring, giving developers insights into the performance and health of their applications. This feature enables developers to quickly identify and resolve issues, minimizing downtime and improving the overall quality of the software being developed. Self-service environments — IDPs allow developers to create and manage their development, testing, and staging environments on demand, without needing manual assistance from operations teams. This self-service capability speeds up the development process and reduces the delays typically caused by waiting for infrastructure to be provisioned. Self-service environments On-demand infrastructure — With an IDP, developers can provision the infrastructure they need exactly when they need it, often with just a few clicks or API calls. This feature eliminates the bottlenecks of traditional infrastructure management, where requests for new resources might take days or even weeks to fulfill. On-demand infrastructure ensures that development teams can scale resources up or down according to the specific needs of their projects. On-demand infrastructure Integrated security — IDPs integrate security best practices directly into the development workflow, including automated security scans, vulnerability assessments, and compliance checks that run seamlessly alongside development activities. By embedding security into the platform, IDPs ensure that security considerations are addressed early and consistently throughout the development lifecycle. Integrated security Automated workflows and pipelines — IDPs often come with pre-configured CI/CD pipelines and automation tools that standardize and streamline the build, test, and deployment processes. While these automation pipelines can be customized to meet the specific needs of different teams or projects, their core functionality is to reduce errors, speed up release cycles, and ensure consistency across deployments. Automated workflows and pipelines CI/CD pipelines CI/CD pipelines Observability and monitoring — A strong IDP includes tools for observability and monitoring, giving developers insights into the performance and health of their applications. This feature enables developers to quickly identify and resolve issues, minimizing downtime and improving the overall quality of the software being developed. Observability and monitoring The Impact on Development Teams The Impact on Development Teams The adoption of IDPs significantly impacts development teams, fundamentally changing how they work and the outcomes they achieve. IDPs' influence on development teams can be both positive and negative, affecting the speed, quality, and coordination of the development process. Positive impacts: Positive impacts: Resource utilization — IDPs often provide specialized knowledge and tools essential to the development process, allowing teams to concentrate on core functionalities and rely on IDPs for components or services beyond their immediate expertise. Consistency and standards — IDPs help ensure that development teams follow organizational standards and best practices. This consistency can result in higher-quality outputs and more maintainable systems. Efficiency through Reuse — Leveraging IDPs enables teams to reuse existing components, reducing duplication of effort and accelerating the development process, which is particularly beneficial in large organizations where similar functionalities are needed across multiple projects. Resource utilization — IDPs often provide specialized knowledge and tools essential to the development process, allowing teams to concentrate on core functionalities and rely on IDPs for components or services beyond their immediate expertise. Resource utilization Consistency and standards — IDPs help ensure that development teams follow organizational standards and best practices. This consistency can result in higher-quality outputs and more maintainable systems. Consistency and standards Efficiency through Reuse — Leveraging IDPs enables teams to reuse existing components, reducing duplication of effort and accelerating the development process, which is particularly beneficial in large organizations where similar functionalities are needed across multiple projects. Efficiency through Reuse Negative impacts: Negative impacts: Dependency bottlenecks — A significant risk is the potential for bottlenecks. If a team is waiting on deliverables from an IDP, delays in the IDP can stall the entire project. This dependency can reduce the team’s agility and impact timelines. Coordination challenges — Working with IDPs often requires extensive coordination and communication, which can become complex and time-consuming. Misalignment in priorities, schedules, or understanding of requirements between teams and IDPs can lead to inefficiencies and conflicts. Reduced autonomy — Development teams may feel less autonomous when they rely heavily on IDPs. This reliance can lead to frustration if the IDP fails to meet expectations or is perceived as a hindrance to the development process. Dependency bottlenecks — A significant risk is the potential for bottlenecks. If a team is waiting on deliverables from an IDP, delays in the IDP can stall the entire project. This dependency can reduce the team’s agility and impact timelines. Dependency bottlenecks Coordination challenges — Working with IDPs often requires extensive coordination and communication, which can become complex and time-consuming. Misalignment in priorities, schedules, or understanding of requirements between teams and IDPs can lead to inefficiencies and conflicts. Coordination challenges Reduced autonomy — Development teams may feel less autonomous when they rely heavily on IDPs. This reliance can lead to frustration if the IDP fails to meet expectations or is perceived as a hindrance to the development process. Reduced autonomy Wrapping up Wrapping up IDPs are changing the way development teams operate by equipping them with the tools, environments, and infrastructure needed to be more autonomous, productive, and efficient. Harnessing the power of platform engineering enables organizations to create robust IDPs that streamline development processes while improving the quality and security of their software. As you refine your development practices, adopting IDPs can serve as a strategic move to empower your developers and drive innovation within your organization.

How Internal Developer Platforms Are Empowering Developers?

Successful projects rely on efficient, reliable DevOps pipelines. This makes it vital for experienced DevOps professionals to continuously refine their processes to achieve greater automation, integration, and deployment speed. In this article, we explore best practices for DevOps pipelines and provide practical insights and examples. Introduction to DevOps Pipelines DevOps makes software development, testing, and deployment more efficient by automating repetitive tasks and keeping environments consistent. A well-architected pipeline integrates various tools and practices to enable continuous integration (CI) and continuous deployment (CD) — with the ultimate goal of delivering quality software faster. Central elements of a typical DevOps lifecycle include version control systems, build servers, testing frameworks, and deployment tools. Best Practices for DevOps Pipelines 1. Automate Everything DevOps centers on automation. Automating repetitive tasks using proper tools minimizes human error, increases efficiency, and creates opportunities for more strategic work. Code compilation, testing, deployment, and monitoring are prime candidates for automation. For example, Terraform can automate infrastructure provisioning. Defining your infrastructure as code and using Terraform to apply and manage changes ensures consistency across environments and makes it easier to reproduce and track changes. 2. Implement Continuous Integration (CI) Continuous integration automates the merging, building, and testing of code changes so that issues can be detected and resolved early in development. Here are some tips for optimum CI: Commit often: Encourage small, frequent commits to the main branch. Automate builds and tests: Configure your CI server (e.g., Jenkins, GitLab CI) to trigger builds and tests automatically when code is committed. Create feedback loops: Give developers fast feedback on the status of their changes. 3. Embrace Continuous Deployment (CD) Continuous deployment is the logical next step after integration. It automatically deploys all validated changes to a production environment, ensuring the robust testing and monitoring systems required for stability and reliability. Follow these tips for efficient CD: Think about your staging environments: Use a staging environment that mirrors production for final testing. Use feature flags: Introduce feature flags to control the release of new features without deploying new code. Rollback mechanisms: Maintain automated rollback mechanisms to revert to the previous stable state if something goes wrong. 4. Prioritize Security Integration The DevOps approach to security is to integrate it into every stage of the pipeline. You can ensure your applications and infrastructure are secure by design by adopting DevSecOps practices. Follow these security integration practices: Security scans: Incorporate automated security scans into your pipeline to detect vulnerabilities early. Access controls: Establish strict access controls and use tools like HashiCorp Vault to manage secrets and sensitive information. Don’t hardcode sensitive values such as passwords directly in your code in a production environment. Compliance checks: Ensure your infrastructure and applications comply with relevant security standards and regulations. Tool-specific security measures: Make your infrastructure more secure by integrating security measures specific to the IaC tool of your choice into your overall DevOps security strategy. For example, if you are using Terraform, these security best practices include securing your state files, using appropriate IAM roles and policies, and implementing thorough review processes for your Terraform scripts. 5. Test Appropriately We’ve already highlighted the importance of automating as much of the DevOps pipeline as possible — and that applies particularly to testing. Automated testing ensures code quality and reliability. You should also include a wide variety of tests in your pipeline, including integration tests, unit tests, and end-to-end tests. Think about these when creating tests: Test coverage: Aim for high test coverage to test as many code paths as possible. Test environments: Use isolated test environments to run your tests without affecting production. Continuous testing: Weave testing into every stage of the pipeline to catch issues as early as possible. 6. Pay Attention to Monitoring and Logging Close monitoring and comprehensive logging give you valuable insights into the operational state and efficiency of your applications and underlying infrastructure. Focusing on these practices will help you detect and resolve issues quickly. Bear these monitoring and logging tips in mind: Centralized logging: Use centralized logging solutions (e.g., ELK Stack, Splunk) to aggregate and analyze logs from all sources. Real-time monitoring: Leverage real-time monitoring tools (e.g., Prometheus, Grafana) to visualize and alert on key metrics. Alerting: Set up alerting mechanisms to notify the relevant teams of anomalies or issues. 7. Focus on Continuous Improvement DevOps is an iterative process. Evaluating and improving your pipelines to adapt to new requirements and technologies should be an ongoing practice. Here are some considerations for continuous improvement: Retrospectives: Conduct regular retrospectives to identify areas for improvement. Metrics and KPIs: Track key performance indicators (KPIs) to measure the effectiveness of your pipeline and identify bottlenecks. Training and development: Allocate resources for ongoing training and development so your team stays up-to-date with the latest tools and industry best practices. 8. Embrace Infrastructure as Code (IaC) IaC is vital for streamlining DevOps workflows. By defining your infrastructure as a code, you automate the provisioning and management of resources for dependable consistency and repeatability. For example: Use the Terraform AWS provider to define and provision AWS resources. This allows you to manage your infrastructure with version control and automate the deployment process. provider "aws" {
 region = "us-east-1"
}

resource "aws_s3_bucket" "example" {
  bucket = "my-tf-test-bucket"
  acl    = "private"

  tags = {
    name        = "My bucket"
    environment = "Dev"
  }
} Wrapping Up Best practices for DevOps pipelines center on measures that increase efficiency, reliability, and security by prioritizing automation and other practices for reducing manual effort and streamlining processes. Optimizing your DevOps pipeline is a continuous effort, but with commitment and the right strategies, you can significantly improve your software development lifecycle and look forward to faster release cycles and higher-quality software. Successful projects rely on efficient, reliable DevOps pipelines. This makes it vital for experienced DevOps professionals to continuously refine their processes to achieve greater automation, integration, and deployment speed. In this article, we explore best practices for DevOps pipelines and provide practical insights and examples. Introduction to DevOps Pipelines DevOps makes software development, testing, and deployment more efficient by automating repetitive tasks and keeping environments consistent. A well-architected pipeline integrates various tools and practices to enable continuous integration (CI) and continuous deployment (CD) — with the ultimate goal of delivering quality software faster. Central elements of a typical DevOps lifecycle include version control systems, build servers, testing frameworks, and deployment tools. well-architected pipeline well-architected pipeline Best Practices for DevOps Pipelines 1. Automate Everything 1. Automate DevOps centers on automation. Automating repetitive tasks using proper tools minimizes human error, increases efficiency, and creates opportunities for more strategic work. Code compilation, testing, deployment, and monitoring are prime candidates for automation. For example , Terraform can automate infrastructure provisioning. Defining your infrastructure as code and using Terraform to apply and manage changes ensures consistency across environments and makes it easier to reproduce and track changes. For example 2. Implement Continuous Integration (CI) Continuous integration automates the merging, building, and testing of code changes so that issues can be detected and resolved early in development. Here are some tips for optimum CI: Commit often: Encourage small, frequent commits to the main branch. Commit often : Encourage small, frequent commits to the main branch. Commit often Automate builds and tests: Configure your CI server (e.g., Jenkins, GitLab CI) to trigger builds and tests automatically when code is committed. Automate builds and tests : Configure your CI server (e.g., Jenkins, GitLab CI) to trigger builds and tests automatically when code is committed. Automate builds and tests Create feedback loops: Give developers fast feedback on the status of their changes. Create feedback loops : Give developers fast feedback on the status of their changes. Create feedback loops 3. Embrace Continuous Deployment (CD) Continuous deployment is the logical next step after integration. It automatically deploys all validated changes to a production environment, ensuring the robust testing and monitoring systems required for stability and reliability. Follow these tips for efficient CD: Think about your staging environments: Use a staging environment that mirrors production for final testing. Think about your staging environments: Use a staging environment that mirrors production for final testing. Think about your staging environments: Use feature flags: Introduce feature flags to control the release of new features without deploying new code. Use feature flags: Introduce feature flags to control the release of new features without deploying new code. Use feature flags: Rollback mechanisms: Maintain automated rollback mechanisms to revert to the previous stable state if something goes wrong. Rollback mechanisms: Maintain automated rollback mechanisms to revert to the previous stable state if something goes wrong. Rollback mechanisms: 4. Prioritize Security Integration The DevOps approach to security is to integrate it into every stage of the pipeline. You can ensure your applications and infrastructure are secure by design by adopting DevSecOps practices. DevOps approach to security DevOps approach to security Follow these security integration practices: Security scans: Incorporate automated security scans into your pipeline to detect vulnerabilities early. Security scans: Incorporate automated security scans into your pipeline to detect vulnerabilities early. Security scans: Access controls: Establish strict access controls and use tools like HashiCorp Vault to manage secrets and sensitive information. Don’t hardcode sensitive values such as passwords directly in your code in a production environment. Access controls: Establish strict access controls and use tools like HashiCorp Vault to manage secrets and sensitive information. Don’t hardcode sensitive values such as passwords directly in your code in a production environment. Access controls: Compliance checks: Ensure your infrastructure and applications comply with relevant security standards and regulations. Compliance checks: Ensure your infrastructure and applications comply with relevant security standards and regulations. Compliance checks: Tool-specific security measures: Make your infrastructure more secure by integrating security measures specific to the IaC tool of your choice into your overall DevOps security strategy. For example, if you are using Terraform, these security best practices include securing your state files, using appropriate IAM roles and policies, and implementing thorough review processes for your Terraform scripts. Tool-specific security measures: Make your infrastructure more secure by integrating security measures specific to the IaC tool of your choice into your overall DevOps security strategy. For example , if you are using Terraform, these security best practices include securing your state files, using appropriate IAM roles and policies, and implementing thorough review processes for your Terraform scripts. Tool-specific security measures: For example security best practices include security best practices include 5. Test Appropriately We’ve already highlighted the importance of automating as much of the DevOps pipeline as possible — and that applies particularly to testing. Automated testing ensures code quality and reliability. You should also include a wide variety of tests in your pipeline, including integration tests, unit tests, and end-to-end tests. Think about these when creating tests: Test coverage: Aim for high test coverage to test as many code paths as possible. Test coverage: Aim for high test coverage to test as many code paths as possible. Test coverage: Test environments: Use isolated test environments to run your tests without affecting production. Test environments: Use isolated test environments to run your tests without affecting production. Test environments: Continuous testing: Weave testing into every stage of the pipeline to catch issues as early as possible. Continuous testing: Weave testing into every stage of the pipeline to catch issues as early as possible. Continuous testing: 6. Pay Attention to Monitoring and Logging Close monitoring and comprehensive logging give you valuable insights into the operational state and efficiency of your applications and underlying infrastructure. Focusing on these practices will help you detect and resolve issues quickly. Bear these monitoring and logging tips in mind: Centralized logging: Use centralized logging solutions (e.g., ELK Stack, Splunk) to aggregate and analyze logs from all sources. Centralized logging: Use centralized logging solutions (e.g., ELK Stack, Splunk) to aggregate and analyze logs from all sources. Centralized logging: Real-time monitoring: Leverage real-time monitoring tools (e.g., Prometheus, Grafana) to visualize and alert on key metrics. Real-time monitoring: Leverage real-time monitoring tools (e.g., Prometheus, Grafana) to visualize and alert on key metrics. Real-time monitoring: Alerting: Set up alerting mechanisms to notify the relevant teams of anomalies or issues. Alerting: Set up alerting mechanisms to notify the relevant teams of anomalies or issues. Alerting: 7. Focus on Continuous Improvement 7. Focus on Continuous Improvement DevOps is an iterative process. Evaluating and improving your pipelines to adapt to new requirements and technologies should be an ongoing practice. Here are some considerations for continuous improvement: Retrospectives: Conduct regular retrospectives to identify areas for improvement. Retrospectives: Conduct regular retrospectives to identify areas for improvement. Retrospectives: Metrics and KPIs: Track key performance indicators (KPIs) to measure the effectiveness of your pipeline and identify bottlenecks. Metrics and KPIs: Track key performance indicators (KPIs) to measure the effectiveness of your pipeline and identify bottlenecks. Metrics and KPIs: Training and development: Allocate resources for ongoing training and development so your team stays up-to-date with the latest tools and industry best practices. Training and development: Allocate resources for ongoing training and development so your team stays up-to-date with the latest tools and industry best practices . Training and development: latest tools and industry best practices latest tools and industry best practices 8. Embrace Infrastructure as Code (IaC) 8. Embrace Infrastructure as Code (IaC) IaC is vital for streamlining DevOps workflows. By defining your infrastructure as a code, you automate the provisioning and management of resources for dependable consistency and repeatability. For example: Use the Terraform AWS provider to define and provision AWS resources. This allows you to manage your infrastructure with version control and automate the deployment process. For example: Terraform AWS provider Terraform AWS provider provider "aws" {
 region = "us-east-1"
}

resource "aws_s3_bucket" "example" {
  bucket = "my-tf-test-bucket"
  acl    = "private"

  tags = {
    name        = "My bucket"
    environment = "Dev"
  }
} provider "aws" {
 region = "us-east-1"
}

resource "aws_s3_bucket" "example" {
  bucket = "my-tf-test-bucket"
  acl    = "private"

  tags = {
    name        = "My bucket"
    environment = "Dev"
  }
} Wrapping Up Wrapping Up Best practices for DevOps pipelines center on measures that increase efficiency, reliability, and security by prioritizing automation and other practices for reducing manual effort and streamlining processes. Optimizing your DevOps pipeline is a continuous effort, but with commitment and the right strategies, you can significantly improve your software development lifecycle and look forward to faster release cycles and higher-quality software.

A Guide to Efficient DevOps Pipelines

Kubernetes is a leading container orchestration tool that significantly streamlines containerized applications' deployment, scaling, and management. The Kubernetes framework supports a wide range of deployment environments, from cloud to on-premise. Kubernetes makes agile development practices more manageable, ensuring high availability and enabling microservices architectures. It has revolutionized how businesses deploy and manage their applications at scale. Let’s look at some of those use cases in more detail. 1. Microservices Architecture Kubernetes provides a flexible platform that automates many of the challenges associated with . The easy deployment of services within containers ensures each microservice can be developed, deployed, and scaled independently. This independence enables you to roll out updates and development cycles without impacting the entire system. running microservices architecture Maintaining service availability during updates can be achieved because Kubernetes supports zero-downtime deployments and rollbacks. Then, Kubernetes' service discovery and load-balancing capabilities ensure that microservices can communicate efficiently and are always accessible, enhancing overall system reliability and agility. And the auto-scaling feature automatically adjusts the number of running instances based on demand, ensuring optimal resource utilization and performance 2. CI/CD Pipelines Integrating Kubernetes with Continuous Integration and Continuous Deployment (CI/CD) streamlines the entire development lifecycle, from code commit to production rollout. Kubernetes serves as the execution environment where containerized applications are deployed, managed, and scaled. Developers can automatically build, test, and deploy applications using features like . When incorporating Kubernetes into CI/CD pipelines, they get a consistent and isolated environment, ensuring that the application behaves as expected in production. Kubernetes Operators Kubernetes' role in this process includes managing container orchestration, service discovery, and load balancing. Automated rollouts and rollbacks in Kubernetes allow for quick iteration and reliable application updates, reducing downtime and the risk of deployment failures. 3. Cloud-Native Applications Kubernetes also plays a big role in deploying and managing . Its architecture is designed to facilitate the automatic scaling of applications based on demand, ensuring that resources are optimally utilized without manual intervention. cloud-native applications Examples of cloud-native deployment strategies utilizing Kubernetes include blue-green deployments, where two identical environments run different versions of an application to ensure seamless rollbacks and minimal downtime during updates. Another example is canary deployments, where a new version is gradually rolled out to a small subset of users before a full-scale launch, allowing teams to monitor performance and user feedback. 4. Multi-Cloud and Hybrid Cloud Strategies Kubernetes can manage applications seamlessly across multiple cloud providers and hybrid environments that blend cloud and on-premise resources. This orchestration system abstracts the underlying infrastructure and allows you to deploy and manage their applications without being tied to the specifics of any cloud provider. This approach enables companies to leverage the best features and pricing models of different clouds or to utilize existing on-premise investments alongside cloud resources. The biggest benefit here is the avoidance of vendor lock-in, granting you the freedom to shift workloads between cloud providers in response to changing requirements, cost optimizations, or strategic considerations. This flexibility ensures that you are not overly dependent on a single vendor. Moreover, Kubernetes follows a consistent deployment and management experience, streamlining operations and improving efficiency regardless of the environment. 5. Machine Learning Workflows Kubernetes is great at managing complex , making it an interesting tool for teams working with data science and machine learning workflows. It optimizes resource allocation through its auto-scaling capabilities, dynamically adjusting computing resources based on the workload demands of training and inference processes. This ensures that have access to necessary resources while conserving resources when demand wanes, leading to cost-effective operations. machine learning (ML) pipelines ML models When managing dependencies within ML pipelines, Kubernetes allows you to containerize each pipeline component, from data preprocessing to model training and inference. It ensures that each step operates within its isolated environment with specific dependency requirements met. This isolation reduces conflicts and increases reproducibility. The Kubernetes platform also helps with the efficient scaling of ML models. It can deploy multiple instances of a model across a cluster to handle increased inference requests, ensuring that ML applications remain responsive as demand fluctuates. Wrapping Up Kubernetes stands out for its versatility and power in orchestrating containerized applications, catering to a wide array of use cases from microservices and CI/CD pipelines to cloud-native applications and complex machine-learning workflows. Its capabilities in automating deployment, scaling, and management across diverse environments underscore its significance in modern technological landscapes. You should explore Kubernetes and try its extensive applicability to unlock new efficiencies and innovations in your operations and projects.

5 Kubernetes Use Cases: What You Need to Know

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