Insights on cloud architecture, distributed systems, AI, and modern software engineering practices.
Cut Elasticsearch storage by up to 95% using mapping discipline, ILM tiering, LogsDB, and pattern_text — a practical guide for platform engineers.
Elasticsearch 9.1–9.3 cut vector memory 95%, landed DiskBBQ sub-20ms search, made ES|QL production-ready, and acquired Jina AI. Here's what changed operationally.
EDOT went GA in April 2025. Three-tier Kubernetes collectors, Elastic Streams, OpAMP remote config, and automated SLO breach workflows for platform teams.
Elasticsearch at scale — from 500B-document clusters to 95% vector memory reduction with BBQ — covering Search, Observability, Security, and AI/ML with a hosting model comparison.
Cluster health is green until it isn't. Stack Monitoring surfaces JVM pressure, thread pool rejections, disk headroom, and CCR lag — nine default alert rules before incidents.
Kubernetes autoscaling with HPA covers CPU-bound services well. KEDA extends it with 72+ scalers and scale-to-zero. Here's when to use each in production.