DevOps & SRE notes – Telegram
DevOps & SRE notes
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Helpfull articles and tools for DevOps&SRE

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Event-driven architecture (EDA) is a powerful design pattern that enhances the responsiveness and scalability of modern applications. This blog post provides an in-depth look at various EDA patterns, highlighting their benefits, use cases, and implementation strategies. Discover how to leverage EDA to create more efficient, resilient, and decoupled systems that can better handle real-time data and complex workflows.

https://newsletter.simpleaws.dev/p/event-driven-architecture-patterns
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Choosing the right continuous delivery (CD) tool is vital for the success of your DevOps practices. This blog post compares Argo CD and Flux CD, two popular GitOps tools, examining their features, strengths, and weaknesses. Gain insights into how each tool can streamline your deployment processes and help you decide which is best suited for your project's needs.

https://blog.aenix.io/argo-cd-vs-flux-cd-7b1d67a246ca
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Integrating BGP, Cilium, and FRR can revolutionize your network's performance and scalability. This blog post explores how combining these technologies at the top-of-rack (ToR) level can enhance network efficiency and security. Learn about the benefits, implementation strategies, and real-world applications of using BGP, Cilium, and FRR in your infrastructure.

https://blog.miraco.la/bgp-cilium-and-frr-top-of-rack-for-all
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Managing telemetry data efficiently is crucial for maintaining application performance and reducing costs. This blog post offers practical tips and strategies to minimize the amount of telemetry data generated by your app without compromising on essential insights. Explore methods to optimize data collection, enhance performance, and achieve cost-effective monitoring.

https://brightinventions.pl/blog/how-to-reduce-telemetry-data-produced-by-your-app/
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Request-based autoscaling in Kubernetes allows for dynamic scaling of applications based on incoming traffic, including the ability to scale down to zero when no requests are present. This article by Daniele Polencic explores the concept of request-based autoscaling in Kubernetes, detailing how it works, the benefits, and implementation strategies. Learn how to efficiently manage resources by automatically scaling your applications in response to demand.

https://dev.to/danielepolencic/request-based-autoscaling-in-kubernetes-scaling-to-zero-2i73
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Analyzing volatile memory on a Google Kubernetes Engine (GKE) node is crucial for understanding performance issues and security vulnerabilities. This article delves into the methods and tools used by Spotify's engineering team to examine and manage volatile memory effectively on GKE nodes, offering valuable insights and practical techniques for improving system reliability and performance.

https://engineering.atspotify.com/2023/06/analyzing-volatile-memory-on-a-google-kubernetes-engine-node/
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Integrating CI/CD pipelines with multi-architecture containers presents unique challenges and opportunities. This article from InfraCloud explores the strategies and tools necessary for building and deploying multi-architecture containers efficiently. Learn how to streamline your CI/CD processes to support diverse architectures, ensuring consistent performance and compatibility across different environments.

https://www.infracloud.io/blogs/multi-arch-containers-ci-cd-integration/
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Understanding how to optimize costs and performance using Karpenter and AWS Reserved Instances is essential for managing cloud infrastructure efficiently. This article from PerfectScale discusses the integration of Karpenter with AWS Reserved Instances, highlighting the benefits and strategies for achieving cost-effective scalability and enhanced resource utilization.

https://www.perfectscale.io/blog/karpenter-and-aws-reserved-instances
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Debugging random node lock-ups in a Linux kernel can be a complex and daunting task. This article by Povilas Veresciakas delves into the intricate process of diagnosing and resolving such issues, providing a detailed walkthrough of the techniques and tools used to identify the root cause. Gain insights into effective debugging practices and learn how to tackle similar challenges in your own systems.

https://povilasv.me/debugging-a-random-node-lock-up-in-a-linux-kernel/
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Cascading failures can disrupt systems in unexpected ways, and even the simple task of scheduling team lunches can illustrate these complexities. This article by Jaywhy13 uses the metaphor of organizing team lunches to explain the intricacies of cascading failures in systems. Discover how these failures occur and strategies to prevent them in both technical and everyday scenarios.

https://jaywhy13.hashnode.dev/cascading-failures-and-the-impossibility-of-scheduling-team-lunches
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