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 19 398 подписчиков, занимая 6 921 место в категории Технологии и приложения и 34 722 место в регионе Россия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 19 398 подписчиков.
Согласно последним данным от 22 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 81, а за последние 24 часа — -7, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 14.62%. В первые 24 часа после публикации контент обычно набирает 7.25% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 837 просмотров. В течение первых суток публикация набирает 1 407 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 23 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.
Typically, microservice-based applications distribute data widely, especially in cloud-based applications, resulting in distributed applications. This impacts the transactions within these applications. This white paper refreshes the concepts of classical and distributed transactions. Next, we explain how cloud-based applications are affected by distribution. Finally, we present compensation-based transactions as a reliable method for microservice-based application transactions, even in the cloud.https://wso2.com/whitepapers/transactions-in-a-microservice-world
Get sign off on the tools you need, by making a business case that resonates.https://liblab.com/blog/how-to-convince-management-to-invest-in-tools-you-need
PostgreSQL (Postgres), is a powerful relational database that can store a wide range of data types and data structures. When it comes to storing graph data structures we might reach for a database marketed for that use case like Neo4J or Dgraph. Hold your horses! While Postgres is not generally thought of when working with graph data structures, it is perfectly capable to store and query graph data efficiently.https://www.dylanpaulus.com/posts/postgres-is-a-graph-database
In this blog post, we’ll talk about two incident management structure models — distributed and centralized, including the pros and cons of each, and examples of what each structure looks like in our community.https://firehydrant.com/blog/exploring-distributed-vs-centralized-incident-command-models
When working locally with the AWS CLI or with Terraform or Terragrunt, you will require a valid AWS configuration to be authorised to communicate with AWS services. It is recommended to leverage features such as Single Sign-On (SSO) and Role Based Access Controls (RBAC) when using your identity as the principal for interacting with AWS services. Using SSO ensures that you are not storing a permanent access key and secret access key and that your sessions have a limited lifetime. Using permission sets (a form of RBAC) ensures that you create roles with only the minimum required permissions for relevant accounts and assume them when needed. This is one aspect of implmenting the principle of least privilege (PoLP). In this guide it is assumed that you are making use of IAM Identity Center and that you are configured as a user. You should also have access to one or more accounts using permission sets. This guide will walk through accessing at least two accounts using the same login.https://levelup.gitconnected.com/aws-single-sign-on-terraform-and-terragrunt-a8c22bb7cfa8
What is Terraform Drift? What problems does it cause? And how can we fix it?https://dragondrop.cloud/2023/08/10/terraform-drift-the-bad-the-ugly-and-the-black-swan
Infisical is an open-source, end-to-end encrypted platform for secret management: sync secrets across your team/infrastructure and prevent secret leaks.https://github.com/Infisical/infisical
PostgreSQL operator for Kuberneteshttps://github.com/movetokube/postgres-operator
configmap-reload is a simple binary to trigger a reload when Kubernetes ConfigMaps or Secrets, mounted into pods, are updated. It watches mounted volume dirs and notifies the target process that the config map has been changed. It currently only supports sending an HTTP request, but in future it is expected to support sending OS (e.g. SIGHUP) once Kubernetes supports pod PID namespaces.https://github.com/jimmidyson/configmap-reload
Redis Operator creates/configures/manages redis-failovers atop Kubernetes.https://github.com/spotahome/redis-operator
Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql pods with data replication and failover enabled out-of-the box. It brings simplicity when using PostgreSql considering how complex managing stateful-set's life-cycle and data replication could be with Kubernetes.https://github.com/reactive-tech/kubegres
Bridge to Kubernetes extends the Kubernetes perimeter to your development computer allowing you to write, test, and debug microservice code while connected to your Kubernetes cluster with the rest of your application or services. You can simply run your code natively on your development workstation while connected to the Kubernetes cluster, allowing you to test your code changes in the context of the larger application.https://github.com/Azure/Bridge-To-Kubernetes
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