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

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Connecting Multi-Cloud Applications with Cilium

This article explores how Cilium Cluster Mesh simplifies multi-cluster Kubernetes connectivity, covering both the underlying challenges of so-called Mesh solution and how Cilium addresses them. It also provides a hands-on scenario that interconnects a multi-cloud application running on the native Kubernetes services of Amazon Web Services and Google Cloud Platform.


https://aws.plainenglish.io/connecting-multi-cloud-applications-with-cilium-d49e8363f05f
Automated GitOps: from ECR push to EKS deploy

In this article, we'll walk through how to build a fully automated CI/CD workflow using Argo CD, Argo CD Image Updater, GitHub, Amazon Elastic Container Registry, Amazon Elastic Kubernetes Service. This setup enables automatic deployment whenever a new container image is pushed to the registry with no manual intervention.


https://medium.com/@alex.ivenin/automated-gitops-from-ecr-push-to-eks-deploy-a210cee0600c
Build a Kubernetes Cluster at Home with Raspberry Pis

Most people interact with Kubernetes through the cloud. They probably are as close to the cluster as they are to their laptop. Using a cluster in the cloud with a web browser or terminal is fine but there is something more intimate or rewarding to deploying a kubernetes cluster on bare metal. And even more rewarding is physically unplugging a node and watch Kubernetes rebalancing the workloads.


https://dev.to/anavalo/building-a-kubernetes-cluster-at-home-with-raspberry-pis-1l8c
🤖 ИИ врёт в проде
А ещё может ломать процессы, уводить данные не туда и уверенно предлагать неверные решения.

Слёрм запускает БЕСПЛАТНУЮ вечернюю школу «ИИ для инженеров: польза и риски».

Это серия онлайн-занятий о том, как использовать ИИ в инженерной работе осознанно, безопасно и с понятной пользой.

🧩 Будем разбирать реальные инженерные сценарии:
— как ИИ помогает DevOps-, SRE- и infrastructure-командам
— как использовать LLM для алёртов, инцидентов, логов, тикетов и документации
— где ИИ реально экономит время, а где создаёт новые риски
— как проверять результат модели и не ловить галлюцинации в проде
— что делать с безопасностью, данными, compliance и юридическими ограничениями
— как встроить ИИ в рабочий процесс, а не просто иногда спрашивать у него команды.

🧩 В программе шесть онлайн-занятий с практиками из ИТ:
— ИИ для разбора метрик и шумных алёртов
— автофикс проблем прода с ИИ
— ИИ-агенты в бизнес-задачах
— юридические риски использования ИИ
— LLM в SOC и борьба с alert fatigue
— инженерное мышление в эпоху LLM

Школа подойдёт DevOps-, SRE-, infrastructure-, platform- и security-инженерам, а также всем, кто уже пробовал ИИ в работе и хочет понять, как использовать его системнее и безопаснее.

📅 Старт — 21 июля.

💸 Участие бесплатное, занятия проходят онлайн.

👉🏻 Узнать подробнее и зарегистрироваться в боте

Реклама. ООО "Слерм", ИНН: 3652901451, erid: 2Vtzqxjgnsc
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A field guide to sandboxes for AI

Every AI agent eventually asks for the same thing: "Let me run a program." Sometimes it's a harmless pytest. Sometimes it's pip install sketchy-package && python run.py. Either way, the moment you let an agent execute code, you're running untrusted bytes on a machine you care about.


https://www.luiscardoso.dev/blog/sandboxes-for-ai
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Beyond Ingress Part II: Securing East-West Traffic with GKE Internal Gateway

This article will also focus on GKE Gateway, but now we're going to explore Internal Regional Gateway for load balancing east-west traffic (i.e. service-to-service) to your application. Leveraging our learnings from my previous post, we'll include the GKE external gateway in this architecture while using the Internal Regional Load Balancer gatewayclass (gke-l7-rilb) to load balance the service-to-service communications in the Bank of Anthos application.


https://medium.com/@bgillman_83663/beyond-ingress-part-ii-securing-east-west-traffic-with-gke-internal-gateway-7aef950aafe2
Designing for Failure: Chaos Engineering Best Practices

If you are leading an engineering team today, your job isn't to prevent failure. It is to design systems that thrive in it. This is the discipline of Chaos Engineering. It is not just about breaking things in production; it is a scientific method for validating resilience.


https://pulse.rajatgupta.work/designing-for-failure-chaos-engineering-best-practices-68503eb1b27b
Building a Centralized Multi Account AWS Monitoring Platform

I was previously part of an organization with 500+ devs with more than 25+ AWS accounts for each client which had to be managed by the DevOps team. The number of people in DevOps team was smaller than the accounts and all of them were mostly active with resources being allocated and deallocated frequently. We utilised many AWS services like EC2, S3, EKS, SageMaker, RDS, Redshift, Cloudfront, Route53, SSM etc


https://medium.com/@varunarora1408/building-a-centralized-multi-account-aws-monitoring-platform-6b14b59ae9d4
New Conversion from cgroup v1 CPU Shares to v2 CPU Weight

I'm excited to announce the implementation of an improved conversion formula from cgroup v1 CPU shares to cgroup v2 CPU weight. This enhancement addresses critical issues with CPU priority allocation for Kubernetes workloads when running on systems with cgroup v2.


https://kubernetes.io/blog/2026/01/30/new-cgroup-v1-to-v2-cpu-conversion-formula
cert-manager-webhook-pdns

A PowerDNS webhook for cert-manager


https://github.com/zachomedia/cert-manager-webhook-pdns
external-dns-provider-mikrotik

ExternalDNS is a Kubernetes add-on for automatically managing DNS records for Kubernetes ingresses and services by using different DNS providers. This webhook provider allows you to automate DNS records from your Kubernetes clusters into your MikroTik router.


https://github.com/mirceanton/external-dns-provider-mikrotik
Stakpak Agent

An open source agent that lives on your machines 24/7, keeps your apps running, and only pings when it needs a human. All the upside of a PaaS, none of the lock-in.


https://github.com/stakpak/agent