DevOps&SRE Library
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Библиотека статей по теме DevOps и SRE.

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tabby

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot.

https://github.com/TabbyML/tabby
Kubernetes Services: ClusterIP, Nodeport and LoadBalancer

https://sysdig.com/blog/kubernetes-services-clusterip-nodeport-loadbalancer
Lessons Learned from Twenty Years of Site Reliability Engineering

Or, Eleven things we have learned as Site Reliability Engineers at Google

1. The riskiness of a mitigation should scale with the severity of the outage
2. Recovery mechanisms should be fully tested before an emergency
3. Canary all changes
4. Have a "Big Red Button"
5. Unit tests alone are not enough - integration testing is also needed
6. COMMUNICATION CHANNELS! AND BACKUP CHANNELS!! AND BACKUPS FOR THOSE BACKUP CHANNELS!!!
7. Intentionally degrade performance modes
8. Test for Disaster resilience
9. Automate your mitigations
10. Reduce the time between rollouts, to decrease the likelihood of the rollout going wrong
11. A single global hardware version is a single point of failure

https://sre.google/resources/practices-and-processes/twenty-years-of-sre-lessons-learned
How to use Terraform test

The new Terraform version v1.6.0 introduce a test framework, named “Terraform test”. Here’s how to use it.

https://blog.captaincy.io/how-to-use-terraform-test
Terraform project structure with reusable modules

https://erudinsky.com/2023/10/20/structuring-terraform-projects
cluster.dev

Cluster.dev is an open-source tool designed to manage cloud native infrastructures with simple declarative manifests - infrastructure templates. The infrastructure templates could be based on Terraform modules, Kubernetes manifests, Shell scripts, Helm charts, Kustomize and ArgoCD/Flux applications, OPA policies etc. Cluster.dev sticks those components together so that you could deploy, test and distribute a whole set of components with pinned versions.

https://github.com/shalb/cluster.dev
Prometheus and its storage: Architecture, challenges, and solutions

This two-article series is about monitoring. Part One covers accumulating a multitude of different metrics in a single place, handling permissions for different aspects of those metrics, and storing large amounts of data. In Part Two, we then focus on choosing monitoring systems based on the brief example of a fictional company’s “journey” in struggling with continually expanding its monitoring system and growing its infrastructure.

https://blog.palark.com/prometheus-architecture-tsdb
What is a Memory Leak?

Memory leaks are a common and frustrating problem in software development. These issues arise when a program fails to free up memory that is no longer being used, leading to a gradual loss of available memory over time.

https://www.codereliant.io/what-is-a-memory-leak
How Grafanalib Helps You Manage Dashboards at Scale

https://www.contino.io/insights/grafanalib
A Guide to Service Discovery with Prometheus Operator — How to use Pod Monitor, Service Monitor and Scrape Config

https://medium.com/@helia.barroso/a-guide-to-service-discovery-with-prometheus-operator-how-to-use-pod-monitor-service-monitor-6a7e4e27b303
Profiling: Flame Chart vs. Flame Graph

Flame Charts and Flame Graphs clearly explained

https://medium.com/performance-engineering-for-the-ordinary-barbie/profiling-flame-chart-vs-flame-graph-7b212ddf3a83
Reduce cross-AZ traffic costs on EKS using topology aware hints

https://blog.ratnopamc.com/reduce-cross-az-traffic-costs-on-eks-using-topology-aware-hints
Advanced Secret Management on Kubernetes With Pulumi and GitOps: Sealed Secrets Controller

https://blog.ediri.io/advanced-secret-management-on-kubernetes-with-pulumi-and-gitops-sealed-secrets-controller