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DevOps & SRE notes

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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

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بحسب آخر البيانات بتاريخ 10 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 217، وفي آخر 24 ساعة بمقدار 3، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 18.62‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 4.84‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
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  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل kubernete, cluster, author, engineering, monitoring.

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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

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 11 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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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

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

Generate AWSCC Documentation with Bedrock and Anthropic Computer Use https://github.com/aws-samples/generate-awscc-with-bedrock-claude-computer-use

🌍 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

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/

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/

Expert Parallelism Load Balancer https://github.com/deepseek-ai/EPLB

JIRA integration for Prometheus Alertmanager https://github.com/prometheus-community/jiralert

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

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

pod that scales down to zero https://github.com/ctrox/zeropod

Automate Kubernetes Configuration Editing https://github.com/kptdev/kpt

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

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/

Kubernetes, Emacs, done! https://github.com/eshelyaron/kubed

A schema and validator for YAML. https://github.com/23andMe/Yamale

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

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/

Easy and Repeatable Kubernetes Development https://github.com/GoogleContainerTools/skaffold