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 19 870 suscriptores, ocupando la posición 6 604 en la categoría Tecnologías y Aplicaciones y el puesto 33 067 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 19 870 suscriptores.
Según los últimos datos del 05 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -13, y en las últimas 24 horas de 11, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.00%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.56% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 583 visualizaciones. En el primer día suele acumular 1 303 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 06 noviembre, 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.
Scaling in Kubernetes refers to adjusting the number of pod replicas or modifying the resource allocations of pods to meet application demand, ensuring optimal performance, availability, and resource utilization in a cluster. Kubernetes supports both horizontal and vertical scaling: Horizontal scaling increases or decreases the number of pod replicas while vertical scaling adjusts the resource requests (CPU and memory) of existing pods. In this article, you’ll learn how to use and apply the kubectl command with the scale subcommand to manually execute horizontal scaling. You’ll also see how and when to use kubectl to scale deployment to 0, which means reducing the number of running pods of an application or a workload to zero, and the limitations of this action. Additionally, you’ll learn how Kubernetes Event-Driven Autoscaling (KEDA) can fill in the gaps left by the Kubernetes Horizontal Pod Autoscaler (HPA). Finally, we highlight StormForge’s features for efficient horizontal and vertical scaling.https://stormforge.io/kubernetes-autoscaling/kubectl-scale-deployment-to-0
When you first start building AI applications with generative AI, you'll likely end up using OpenAI's API at some point in your project's journey. And for good reason! Their API is well-structured, fast, and supported by great libraries. At a small scale or when you’re just getting started, using OpenAI can be relatively economical. There’s also a huge amount of really great educational material out there that walks you through the process of building AI applications and understanding complex techniques using OpenAI’s API.https://dev.to/opensauced/how-we-saved-10s-of-thousands-of-dollars-deploying-low-cost-open-source-ai-technologies-at-scale-with-kubernetes-57j8
I spent much of last year working on Terraform Stacks, which aims to address several problems I've long wanted to solve in Terraform around describing larger systems that have multiple components spread across multiple deployment environments. My most significant contribution was designing and implementing the new DSL for describing a Terraform stack, and that's what this article is about.https://log.martinatkins.me/2024/01/23/terraform-stack-language
Git Town provides additional Git commands that automate the creation, synchronization, shipping, and cleanup of Git branches. Compatible with all popular Git workflows like Git Flow, GitHub Flow, GitLab Flow, and trunk-based development. Supports mono-repos and stacked changes.https://github.com/git-town/git-town
Effortless PostgreSQL backups with a user-friendly web interface!https://github.com/eduardolat/pgbackweb
Dagu is a powerful Cron alternative that comes with a Web UI. It allows you to define dependencies between commands as a Directed Acyclic Graph (DAG) in a declarative YAML format. Dagu simplifies the management and execution of complex workflows. It natively supports running Docker containers, making HTTP requests, and executing commands over SSH.https://github.com/dagu-org/dagu
git-sync is a CLI tool designed to help you back up your Git repositories. This tool ensures you have a local copy of your repositories, safeguarding against potential issues such as account bans or data loss.https://github.com/AkashRajpurohit/git-sync
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqvNuVKgA web app to manage your Two-Factor Authentication (2FA) accounts and generate their security codes.https://github.com/Bubka/2FAuth
Harper is an English grammar checker designed to be just right. I created it after years of dealing with the shortcomings of the competition. Grammarly was too expensive and too overbearing. Its suggestions lacked context, and were often just plain wrong. Not to mention: it's a privacy nightmare. Everything you write with Grammarly is sent to their servers. Their privacy policy claims they don't sell the data, but that doesn't mean they don't use it to train large language models and god knows what else. Not only that, but the round-trip-time of the network request makes revising your work all the more tedious. LanguageTool is great, if you have gigabytes of RAM to spare and are willing to download the ~16GB n-gram dataset. Besides the memory requirements, I found LanguageTool too slow: it would take several seconds to lint even a moderate-size document. That's why I created Harper: it is the grammar checker that fits my needs. Not only does it take milliseconds to lint a document, take less than 1/50th of LanguageTool's memory footprint, but it is also completely private. Harper is even small enough to load via WebAssembly.https://github.com/elijah-potter/harper
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2Vtzqx7t1zSFider is a feedback portal for feature requests and suggestions.https://github.com/getfider/fider
Astuto is an open source customer feedback tool. It helps you collect, manage and prioritize feedback from your customers, so you can build a better product.https://github.com/astuto/astuto
Sidekick is made to make your life easy as you deploy your applications. It’s meant for people who care about shipping as fast as possible while doing things the right way. Sidekick is designed to allow you to host multiple applications on a single VPS and take care of making them production ready. If you get enough traction, scale up your VPS and call it a day!https://github.com/MightyMoud/sidekick
Курс «Kubernetes База» ➕ Видеокурс «Основы ИБ» ➕ «Ansible.Основы» и «Docker.Основы» 70 000 ₽ (вместо 105000 ₽) Промокод на скидку в боте до 11 октября⭐ОБНОВИЛИ ВЕСЬ КУРС «K8s База» Чему научим: ✅ Основам работы с K8s, системой автоматизации развертывания, масштабирования и управления приложениями в контейнерах. ✅ Запускать кластер, работать с базовыми абстракциями и подключать дополнительные компоненты ✅ Запускать приложения в кластере, понимать принципы работы сети и настраивать CI/CD пайпланы ➕ Ориентироваться во всех доменах информационной безопасности ➕ Выстраивать безопасную инфраструктуру и разработку Старт потока 7 октября ➡ 6 недель обучения ➡ 63 часа практики ➡ 5 встреч со спикерами 👉 Промокод и подробнее о курсе в боте Реклама ООО «Слёрм» ИНН 3652901451
A lightweight server resource monitoring hub with historical data, docker stats, and alerts.https://github.com/henrygd/beszel
