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Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19
Больше📈 Аналитический обзор Telegram-канала DevOps & SRE notes
Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 12 640 подписчиков, занимая 10 047 место в категории Технологии и приложения и 2 979 место в регионе США.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 12 640 подписчиков.
Согласно последним данным от 10 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 217, а за последние 24 часа — 3, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 18.62%. В первые 24 часа после публикации контент обычно набирает 4.84% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 354 просмотров. В течение первых суток публикация набирает 612 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, author, engineering, monitoring.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Helpful articles and tools for DevOps&SRE
WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F
For paid consultation (RU/EN), contact: @tutunak
All ways to support https://telegra.ph/How-support-the-channel-02-19”
Благодаря высокой частоте обновлений (последние данные получены 11 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.
12 640
Подписчики
+324 часа
+487 дней
+21730 день
Архив постов
12 651
Fernando Borretti critiques SQL's limitations in testing and business logic reuse, proposing composable, statically-typed query fragments—'functors'—as a solution. This article explores how functors can enhance modularity, testability, and maintainability in complex SQL systems.
https://borretti.me/article/composable-sql
12 651
Tobias Andersen demonstrates how to architect a multi-cluster Kafka environment using Strimzi on Kubernetes. This article details the setup of two Kafka clusters with MirrorMaker2 for cross-cluster replication, ensuring high availability and scalability for the Heimdall platform.
https://medium.com/@ZaradarTR/multi-cluster-kafka-with-strimzi-io-fafd36c2b413
12 651
Generate AWSCC Documentation with Bedrock and Anthropic Computer Use
https://github.com/aws-samples/generate-awscc-with-bedrock-claude-computer-use
12 651
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration.
https://github.com/nwiizo/tfmcp
12 651
Ahmet Alp Balkan offers a candid look into the common pitfalls developers face when building Kubernetes controllers. This essay outlines practical patterns and anti-patterns—from CRD design to reconciliation logic—that can make or break production-grade controllers.
https://ahmet.im/blog/controller-pitfalls/
12 651
Oilbeater presents k8gb as a standout open-source GSLB solution, seamlessly integrating with Kubernetes to manage cross-cluster domain names and traffic with minimal external dependencies. This blogpost delves into how k8gb leverages DNS protocols to achieve automated, multi-cloud traffic routing and disaster recovery, positioning it as a top choice for cloud-native environments.
https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb/
12 651
JIRA integration for Prometheus Alertmanager
https://github.com/prometheus-community/jiralert
12 651
Instant's engineering team shares their journey of upgrading an Aurora Postgres instance to version 16 with zero downtime. This experience report details the challenges faced, including performance bottlenecks and failed upgrade attempts, ultimately leading to a successful migration strategy.
https://www.instantdb.com/essays/pg_upgrade
12 651
Sven Eliasson benchmarks Hetzner’s Kubernetes storage classes to evaluate their suitability for database workloads. This report highlights the significant performance differences between instance-attached NVMe storage and cloud volumes, offering practical insights for infrastructure planning.
https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
12 651
Dropbox has built a flexible messaging system model to support its evolving async platform. This blogpost explores how the new architecture enhances decoupling and scalability across their infrastructure services.
https://dropbox.tech/infrastructure/infrastructure-messaging-system-model-async-platform-evolution3-2025
12 651
Migrating from MetalLB to Cilium streamlines Kubernetes networking by consolidating load balancer, IP address management, and network advertisement features into a single tool. This article details how Cilium—starting with version 1.13—natively supports LoadBalancer IP management, BGP (Layer 3) announcements, and Layer 2 (ARP) announcements, eliminating the need for MetalLB in most self-managed clusters. Through practical YAML examples, it demonstrates configuring Cilium IP pools, service selectors, specific IP assignments, and both IPv4 and IPv6 support, as well as advertising service IPs to the network using BGP or ARP, offering a more integrated and simplified approach to Kubernetes networking.
https://isovalent.com/blog/post/migrating-from-metallb-to-cilium/
12 651
This newsletter explains the challenges of the "hot shard" problem—when a disproportionate amount of traffic targets a single shard, causing resource saturation and degraded performance. The blogpost outlines practical strategies to address this, such as vertical scaling, adding read replicas or caches, distributing hot keys across more shards, choosing better sharding keys and algorithms, implementing load balancing and queueing, controlling traffic with backpressure, and monitoring the cluster for early detection of issues.
https://newsletter.scalablethread.com/p/how-to-handle-hot-shard-problem
12 651
Figma’s migration onto Kubernetes is a compelling case study in how a high-growth company can modernize its infrastructure for scalability, reliability, and developer productivity. This article recounts Figma’s decision to move from AWS ECS to Kubernetes (EKS), the challenges they faced with ECS—such as lack of support for StatefulSets, Helm charts, and advanced autoscaling—and the benefits they unlocked by embracing the broader CNCF ecosystem and Kubernetes’ popularity within the industry.
https://www.figma.com/blog/migrating-onto-kubernetes/
12 651
Easy and Repeatable Kubernetes Development
https://github.com/GoogleContainerTools/skaffold
