DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Больше📈 Аналитический обзор Telegram-канала DevOps&SRE Library
Канал DevOps&SRE Library (@devopslibrary) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 19 399 подписчиков, занимая 6 952 место в категории Технологии и приложения и 34 858 место в регионе Россия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 19 399 подписчиков.
Согласно последним данным от 11 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 162, а за последние 24 часа — 13, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 15.12%. В первые 24 часа после публикации контент обычно набирает 7.09% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 932 просмотров. В течение первых суток публикация набирает 1 376 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, infrastructure, storage, configuration.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Благодаря высокой частоте обновлений (последние данные получены 12 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
Free, open source and self-hosted solution for automated PostgreSQL backups. With multiple storage options and notificationshttps://github.com/RostislavDugin/postgresus
Securely share sensitive information with automatic expiration & deletion after a set number of views or duration. Track who, what and when with full audit logs.https://github.com/pglombardo/PasswordPusher
Doco-CD is a lightweight GitOps tool that automatically deploys and updates Docker Compose projects/services and Swarm stacks using polling and webhooks. You can think of it as a simple Portainer or ArgoCD alternative for Docker.https://github.com/kimdre/doco-cd
Baserow is the secure, open-source platform for building databases, applications, automations, and AI agents — all without code. Trusted by over 150,000 users, Baserow delivers enterprise-grade security with GDPR, HIPAA, and SOC 2 Type II compliance, plus cloud and self-hosted deployments for full data control. With a built-in AI Assistant that lets you create databases and workflows using natural language, Baserow empowers teams to structure data, automate processes, build internal tools, and create custom dashboards. Fully extensible and API-first, Baserow integrates seamlessly with your existing tools and performs at any scale.https://github.com/baserow/baserow
VectorChord (vchord) is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search.https://github.com/tensorchord/VectorChord
After stumbling on a pair of interesting blog posts — You Don’t Need Kafka, Just Use Postgres (Considered Harmful) — somewhat in the style of good old “flame wars” (which are increasingly rare these days) in the recent Postgres Weekly, as a response to a previous article — Kafka is fast – I’ll use Postgres — on using Postgres for “Kafkaesque” business, I felt the urge to chip in a bit. But first off — I’d like to laud the authors of both pieces. They’re well-argued reads with a crazy amount of good tidbits and food for thought. I especially liked that the original one tried to be open and repeatable and actually tested things. Gunnar’s take was maybe a bit too morbid for my taste, of course 🐘 To recap — the main question in the debate was whether Postgres is generally “good enough” to implement a low-to-medium volume event queue or even a pub-sub system. The general sentiment from Hacker News readers at least was that unless scale truly demands Kafka, Postgres is indeed good enough — and many teams plain overestimate their scaling needs and don’t actually need Kafka’s distributed complexity. Spoiler: there’s obviously no definitive answer as to when one should use a “proper” database for something — and there sure are reasons why we have so many purpose-specific databases: relational, event logs, analytical column stores, key-value, time-series, ledger, graph, hierarchical, document, blob, text search, vector, … Anyway, below are some thoughts that came to mind — I can’t go too deep on Kafka though, as I’m just not qualified enough.https://kmoppel.github.io/2025-11-13-postgres-kafka-and-event-queues
Postgres has an awesome amount of data collected in its own internal tables. Postgres hackers know all about this - but software developers and folks working with day to day Postgres tasks often miss out the good stuff. The Postgres catalog is how Postgres keeps track of itself. Of course, Postgres would do this in a relational database with its own schema. Throughout the years several nice features have been added to the internal tables like psql tools and views that make navigating Postgres’ internal tables even easier. Today I want to walk through some of the most important Postgres internal data catalog details. What they are, what is in them, and how they might help you understand more about what is happening inside your database.https://www.crunchydata.com/blog/postgres-internals-hiding-in-plain-sight
A cautionary tale about AWS VPC networking, NAT Gateways, and how a missing VPC Endpoint turned our S3 data transfers into an expensive lesson.https://www.geocod.io/code-and-coordinates/2025-11-18-the-1000-aws-mistake
"Oops, I accidentally deleted my Docker registry. Can I get my images back?" YES. This tool does exactly that.https://github.com/tazhate/push-from-k8s-back-to-docker-registry
The SR-IOV Network Device Plugin is Kubernetes device plugin for discovering and advertising networking resources in the form of: - SR-IOV virtual functions (VFs) - PCI physical functions (PFs) - Auxiliary network devices, in particular Subfunctions (SFs) which are available on a Kubernetes hosthttps://github.com/k8snetworkplumbingwg/sriov-network-device-plugin
Zarf eliminates the complexity of airgap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments.https://github.com/zarf-dev/zarf
The OpenTelemetry Operator is an implementation of a Kubernetes Operator.https://github.com/open-telemetry/opentelemetry-operator
Kubernetes-native scale-to-zero with zero traffic loss, no code changes, and direct integration with kubernetes resourceshttps://github.com/truefoundry/KubeElasti
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