Kubernetes Cost Optimization — Right-Sizing Without Risking Stability
A practical guide to reducing Kubernetes spend without sacrificing reliability: resource requests and limits, VPA, HPA, Karpenter, Spot instances, Kubecost, and namespace-level controls that prevent waste. Typical savings: 40–70% off your cluster bill.
RAG Done Right — Retrieval-Augmented Generation Beyond the Basics
A deep-dive into production-grade RAG: chunking strategies, hybrid search, HyDE query transformation, cross-encoder reranking, context assembly, and evaluation with RAGAS. Go beyond naive vector lookup and build retrieval pipelines that actually work.
OpenTelemetry in Practice — Unified Traces, Metrics, and Logs
A hands-on guide to OpenTelemetry for production observability — covering auto-instrumentation, custom spans, metrics pipelines, log correlation, the Collector architecture, tail-based sampling, and context propagation across distributed services.
Event-Driven Architecture with Kafka & Schema Registry
A practical guide to building event-driven systems with Apache Kafka and Confluent Schema Registry — covering topic design, partition strategies, Avro schema evolution, consumer group patterns, dead letter queues, exactly-once semantics, and production hardening.
Multi-Tenant Architecture — Designing Systems That Scale Per Customer
A practical guide to multi-tenant architecture patterns — from shared databases to fully isolated deployments. Covers tenant isolation strategies, database partitioning, noisy neighbor mitigation, security, and decision frameworks for choosing the right model.
Claude Code vs OpenCode — Two Philosophies of AI-Assisted Development
Proprietary depth vs open-source flexibility: Claude Code bets on vertical integration with Anthropic’s models, while OpenCode connects to 75+ providers including local inference. A practical comparison of architecture, extensibility, privacy, and real-world trade-offs.
Claude Mythos Preview — Anthropic’s Most Capable Frontier Model
Anthropic announces Claude Mythos Preview with record-breaking benchmarks: 93.9% SWE-bench Verified, 82% Terminal-Bench 2.0, and autonomous zero-day discovery. Released exclusively for defensive cybersecurity via Project Glasswing.
Qwen3.6-Plus — Towards Real World Agents
Alibaba announces Qwen3.6-Plus with 1M context window, dramatically enhanced agentic coding capabilities, and sharper multimodal reasoning — setting new state-of-the-art standards in AI agents.
RTK — Cut LLM Token Usage by 80% with a Single Rust Binary
RTK is an open-source CLI proxy that sits between your AI coding assistant and the terminal. Smart filtering, grouping, and deduplication reduce token consumption by 60–90% across 100+ commands — with under 10ms overhead.
Graphify — Turn Any Codebase into a Knowledge Graph
Inspired by Andrej Karpathy’s LLM knowledge base workflow, graphify builds knowledge graphs from code, docs, papers, and images — giving AI assistants structural understanding instead of brute-force search. 71.5x token reduction on real-world corpora.
Manage Grafana Dashboards with GitOps Using ArgoCD
Set up a continuous deployment pipeline using ArgoCD to synchronize Grafana dashboards with a Git repository using the Grafana Operator and Kubernetes Custom Resources.
Elasticsearch Read Optimization — Tuning for Faster Search
A comprehensive guide to optimizing Elasticsearch for faster search performance — covering filesystem cache, document modeling, query design, and index-level tuning.
Elastic Stack Complete Guide 2026 — Elasticsearch, Logstash, Kibana & Beats
The definitive ELK Stack guide: Elasticsearch architecture (nodes, shards, replicas), Query DSL, aggregations, Index Lifecycle Management, Logstash pipelines, Beats data shippers, Kibana dashboards, RBAC security, and production best practices for running Elastic Stack at scale.