DevOps&SRE Library

Ephemeral Infrastructure: Why Short-Lived is a Good Thing https://lukasniessen.medium.com/ephemeral-infrastructure-why-short-lived-is-a-good-thing-2cf26afd75ef

⚠️ Модель отлично работала на обучении, а в продакшене — начала ошибаться? Данные те же. Код тот же. Это data drift — одна из ключевых причин деградации ML-моделей в реальных системах. 25 февраля в 20:00 МСК на открытом уроке в преддверии старта курса «MLOps» разберём, почему даже хорошие модели со временем теряют качество, какие бывают типы смещения данных и как отличить реальную проблему от статистического шума. Покажем практические инструменты обнаружения data drift и разберём типовое решение задачи мониторинга на практике. 🦾 Вы поймёте, почему в продакшене недостаточно обучить модель один раз, и как выстроить контроль качества, чтобы ML-система оставалась полезной бизнесу. Урок будет полезен тем, кто уже работает с моделями или готовится выводить их в продакшен и хочет понимать, что происходит с ML после деплоя. ➡️ Принять участие: https://vk.cc/cUzYYa Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwEUffa

Dynamic Istio Ingress Gateway Management with Kyverno https://medium.com/devtopia/dynamic-istio-ingress-gateway-management-with-kyverno-a807b6e3f0f8

Tuckr

Tuckr is a dotfile manager inspired by Stow and Git. Tuckr aims to make dotfile management less painful. It follows the same model as Stow, symlinking files onto $HOME. It works on all the major OSes (Linux, Windows, BSDs and MacOS). Tuckr aims to bring the simplicity of Stow to a dotfile manager with a very small learning curve. To achieve that goal Tuckr tries to only cover what is directly needed to manage dotfiles and nothing else. We won't wrap git, rm, cp or reimplement the functionality that are perfeclty covered by other utilities in the system unless it greatly impacts usability.

https://github.com/RaphGL/Tuckr

A Comprehensive Comparison of Cloud Backup Tools

This blog post is a comparison of personal, accessible, cloud backup options.

https://www.ybrikman.com/blog/2026/02/03/computer-backup-options

Why the OpenTelemetry Batch Processor is Going Away (Eventually)

This article explains why OpenTelemetry no longer recommends the batch processor for production durability-sensitive pipelines. It compares in-memory batching with exporter-level persistent queues and shows how the newer approach improves recovery during collector restarts.

https://www.dash0.com/blog/why-the-opentelemetry-batch-processor-is-going-away-eventually

Create readable terraform plans for pull request reviews with tfplan2md

This article introduces tfplan2md, a tool that converts Terraform JSON plans into clearer markdown summaries for pull request reviews. It focuses on making plan output easier to understand in Azure DevOps and GitHub workflows.

https://levelup.gitconnected.com/create-readable-terraform-plans-for-pull-request-reviews-with-tfplan2md-ea646e00e59b

Scaling Terraform Across many Teams: A Native Framework for Platform Engineering

This write-up presents a pure Terraform framework where 50+ teams deploy infrastructure using simple tfvars while platform teams maintain reusable building blocks. It highlights native lookup patterns, automated PR updates, and significant boilerplate reduction without adding preprocessing layers.

https://dev.to/jverhoeks/-scaling-terraform-across-many-teams-a-native-framework-for-platform-engineering-3n0b

Unconventional PostgreSQL Optimizations

Creative ideas for speeding up queries in PostgreSQL

https://hakibenita.com/postgresql-unconventional-optimizations

OpenTelemetry Collector vs agent: How to choose the right telemetry approach https://www.cncf.io/blog/2026/02/02/opentelemetry-collector-vs-agent-how-to-choose-the-right-telemetry-approach

“You Had One Job”: Why Twenty Years of DevOps Has Failed to Do it

I think the entire DevOps movement was a mighty, twenty year battle to achieve one thing: a single feedback loop connecting devs with prod. On those grounds, it failed.

https://www.honeycomb.io/blog/you-had-one-job-why-twenty-years-of-devops-has-failed-to-do-it

Is the future of MySQL PostgreSQL (Or MariaDB, or TiDB, or ...)? https://stokerpostgresql.blogspot.com/2026/01/is-future-of-mysql-postgresql-or.html

Why Your HA Architecture is a Lie (And That's Okay) https://mydbanotebook.org/posts/why-your-ha-architecture-is-a-lie-and-thats-okay

Introduction to Buffers in PostgreSQL

The work around RegreSQL led me to focus a lot on buffers. If you are a casual PostgreSQL user, you have probably heard about adjusting shared_buffers and followed the good old advice to set it to 1/4 of available RAM. But after we went a little bit too enthusiastic about them on a recent Postgres FM episode I've been asked what that's all about. Buffers are one of those topics that easily gets forgotten. And while they are a foundation block of PostgreSQL's performance architecture, most of us treat them as a black box. This article is going to attempt to change that.

https://boringsql.com/posts/introduction-to-buffers

How OpenAI Scales Postgres to Power 800 Million ChatGPT Users

For years, PostgreSQL has been one of the most critical, under-the-hood data systems powering core products like ChatGPT and OpenAI’s API. As our user base grows rapidly, the demands on our databases have increased exponentially, too. Over the past year, our PostgreSQL load has grown by more than 10x, and it continues to rise quickly.

https://openai.com/index/scaling-postgresql

10 Elasticsearch Production Issues (and How Postgres Avoids Them)

Elasticsearch may work great in initial testing and development but Production is a different story. This blog is about what happens after you ship: the JVM tuning, the shard math, the 3 AM pages, the sync pipelines that break silently. The stuff your ops team lives with. After years of teams running Elasticsearch in production, certain patterns keep emerging. The same issues show up in blog posts, Stack Overflow questions, and incident reports. We've compiled ten of the most common ones below, with references to the engineers who've documented them. We’ve also added images to make it easy to quickly skim through it and compare the challenges against Postgres. TLDR: With great power comes great operational complexity.

https://www.tigerdata.com/blog/10-elasticsearch-production-issues-how-postgres-avoids-them

The future of software engineering is SRE

When code gets cheap operational excellence wins. Anyone can build a greenfield demo, but it takes engineering to run a service.

https://swizec.com/blog/the-future-of-software-engineering-is-sre

prek

pre-commit is a framework to run hooks written in many languages, and it manages the language toolchain and dependencies for running the hooks.

https://github.com/j178/prek

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zerobrew

zerobrew applies uv's model to Mac packages. Packages live in a content-addressable store (by sha256), so reinstalls are instant. Downloads, extraction, and linking run in parallel with aggressive HTTP caching. It pulls from Homebrew's CDN, so you can swap brew for zb with your existing commands. This leads to dramatic speedups, up to 5x cold and 20x warm.

https://github.com/lucasgelfond/zerobrew