DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Mostrar más📈 Análisis del canal de Telegram DevOps&SRE Library
El canal DevOps&SRE Library (@devopslibrary) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 19 420 suscriptores, ocupando la posición 6 942 en la categoría Tecnologías y Aplicaciones y el puesto 34 783 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 420 suscriptores.
Según los últimos datos del 14 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 168, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.70%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 7.04% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 855 visualizaciones. En el primer día suele acumular 1 367 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- Intereses temáticos: El contenido se centra en temas clave como kubernete, cluster, infrastructure, storage, configuration.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 15 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
How Redis can be used as a primary database for complex applications that need to store data in multiple formats?https://faun.pub/redis-as-a-primary-database-for-complex-applications-501ced31f923
Let's discuss logging - unstructured, structured and canonical log lines - what they are and what value they bring to your production systems.https://obakeng.substack.com/p/its-a-log-eat-log-world
Yaak is a desktop API client for interacting with REST, GraphQL, Server Sent Events (SSE), WebSocket, and gRPC APIs.https://github.com/mountain-loop/yaak
like jq but for Markdown: find specific elements in a md dochttps://github.com/yshavit/mdq
Tailpipe is the lightweight, developer-friendly way to query logs. Cloud logs, SQL insights. Collects logs from cloud, container and application sources. Query and analyze your data instantly with the power of SQL, right from your terminal. Fast, local, and efficient. Runs locally, powered by DuckDB's in-memory analytics and Parquet's optimized storage. An ecosystem of prebuilt intelligence. MITRE ATT&CK-aligned queries, prebuilt detections, benchmarks, and dashboards, all open source and community-driven. Built to build with. Define detections as code, extend functionality with plugins and write custom SQL queries.https://github.com/turbot/tailpipe
JetKVM is a high-performance, open-source KVM over IP (Keyboard, Video, Mouse) solution designed for efficient remote management of computers, servers, and workstations. Whether you're dealing with boot failures, installing a new operating system, adjusting BIOS settings, or simply taking control of a machine from afar, JetKVM provides the tools to get it done effectively.https://github.com/jetkvm/kvm
Nping is a Ping tool developed in Rust. It supports concurrent Ping for multiple addresses, visual chart display, real-time data updates, and other features.https://github.com/hanshuaikang/Nping
I don't know if you followed the release of the last generation of CPUs. AMD's latest Genoa CPU (AMD EPYC™ 9965) can run 768 threads. It has 192 cores per socket and 2 threads per core, with 2 sockets. Imagine adding 10 TB of RAM to such a beast! Of course, everyone will think of how useful it will be for virtualization. As a database person, I'd rather ask myself what Postgres could do with so many resources. I love simplicity in architecture. But I often meet customers with huge resource needs. With average hosts nowadays, the best answer for them is sometimes multi-parallel processing (MPP). So, with this new hardware, can we stop using horizontal scalability? To understand the impact of running PostgreSQL on it, we must examine a few technical limits. The analysis will begin with NUMA (Non-Uniform Memory Access) architecture. Next, we will address I/O bandwidth limits. They are a big factor, no matter the CPU or memory. Next, we will look at how PostgreSQL behaves with many connections. This topic has historical limits that bring up key questions. Finally, we will test parallel queries. We will examine their scalability and effectiveness on systems with many CPU threads.https://www.enterprisedb.com/blog/postgres-time-monster-hardware
PGWATCH: PostgreSQL metrics monitor/dashboardhttps://github.com/cybertec-postgresql/pgwatch
🔎 Feluda is a Rust-based command-line tool that analyzes the dependencies of a project, notes down their licenses, and flags any permissions that restrict personal or commercial usage.https://github.com/anistark/feluda
How we've redefined the PM and engineer relationshiphttps://newsletter.posthog.com/p/product-management-is-broken-engineers
Vinyl.
🦧 Поверхностное представление о том, что Vinyl работает с диском не дает полного понимания механизмов заложенных внутри для обслуживания кластера.
🤯 Оказывается здесь не классическое B-tree как в реляционных СУБД типа InnoDB в MySQL или Postgress, а LSM-tree со всеми вытекающими. В документации по Vinyl есть исчерпывающее объяснение разницы, но ...
Меня интересовали концептуальные механизмы с точки зрения администратора этой СУБД, поэтому в статье разберем:
🧐 Что такое Vinyl
🗂 Из чего состоит файловая структура спейса на Vinyl
🖼 Визуализируем хранилище Vinyl (это пирамида)
📥 Посмотрим как данные перемещаются по пирамиде
🛠 Определим как управлять габаритами пирамиды и на что они влияют
🎡 Какие фоновые процессы обслуживают движок Vinyl
💣 Как работа Vinyl влияет на систему
🪣 Как очистить дерево от старых версий и удаленных кортежей и вообще почему есть в этом необходимость
Детали в статье: https://byurrer.ru/tarantool-vinyl
P. S. если есть непонятки или я что-то упустил - пишите в комментариях ⬇️View the HTTP and HTTPS requests made by any linux program by running httptap -- <command>.https://github.com/monasticacademy/httptap
Simplify the management of Terraform modules in your monorepo with this GitHub Action, designed to automate module-specific versioning and releases. By streamlining the Terraform module release process, this action allows you to manage multiple modules in a single repository while still maintaining independence and flexibility. Additionally, it generates a beautifully crafted wiki for each module, complete with readme information, usage examples, Terraform-docs details, and a full changelog.https://github.com/techpivot/terraform-module-releaser
As time passes, OpenTofu and Terraform become more distant from each other. CanI.TF helps us to understand their differences quickly.https://cani.tf
¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
