When Kafka Consumer Lag spikes, simply scaling consumers is often not enough. This post walks through practical incident analysis: distinguishing broker issues from consumer issues, checking partition imbalance, spotting retry storms, and finding downstream bottlenecks that actually caused the lag.
On February 26, 2026, the PostgreSQL project released PostgreSQL 18.3, 17.9, 16.13, and related patch versions as an out-of-cycle update. This post explains what backend teams should learn from that release.
Based on the Kubernetes v1.36 Sneak Peek published on March 30, 2026, this post explains the operational checks DevOps teams should prioritize around removals, deprecations, and upgrade readiness.
To move RAG into production, you need quality evaluation, logging, latency tracking, and feedback loops. This post covers retrieval metrics, groundedness, citation accuracy, observability, and operational checklists.
A practical operations guide for a stock investment Agent. Covers paper-trading workflow, human approval, monitoring, alerts, audit logs, failure handling, and the guardrails needed before any real execution.
A practical comparison of Blue-Green and Canary deployment strategies. Covers rollback speed, operational complexity, traffic control, and how these patterns work in Kubernetes environments.
A practical guide to managing Kubernetes Secrets safely. Covers the difference from ConfigMaps, injection methods, Git storage strategies, External Secrets, Vault integration, rotation, and RBAC considerations.
A 34-item checklist for running Kubernetes clusters reliably in production. Organized by resources, availability, security, network, storage, monitoring, deploy process, and cost.
Failure patterns you actually encounter when running Redis in production, and how to diagnose them. Case-by-case solutions for OOM, connection exhaustion, blocked clients, replication lag, and more.
Step-by-step response when a Kubernetes Node enters NotReady state. Root cause diagnosis, workload evacuation, and recovery procedures — a real-world operations guide.
How to reliably operate LLM-based services in production. Covers cost management, latency optimization, incident response, and monitoring — all from real-world experience.
Step-by-step guide to building a Redis Cluster from scratch. 6-node setup, slot distribution, client connections, and failover handling — all production-focused.