Observability in 2026: OpenTelemetry, eBPF Auto-Instrumentation, and the Three Pillars Evolved
on Observability, Opentelemetry, Ebpf, Monitoring, Tracing, Metrics, Devops, Sre
Database-Per-Service vs Shared Database: Microservices Data Architecture in 2026
on Microservices, Database, Architecture, Distributed systems, Postgresql, Event sourcing
Database-Per-Service vs Shared Database: Microservices Data Architecture in 2026
LLM Inference Optimization: vLLM, TGI, and Production Serving Strategies in 2026
on Llm, Inference, Vllm, Tgi, Mlops, Production, Ai
LLM Inference Optimization: vLLM, TGI, and Production Serving Strategies in 2026
GitOps at Scale: Argo CD, Flux, and the Future of Kubernetes Deployment Pipelines
on Gitops, Kubernetes, Argocd, Flux, Devops, Ci/cd, Platform engineering
GitOps at Scale: Argo CD, Flux, and the Future of Kubernetes Deployment Pipelines
Prompt Engineering Is Dead. Long Live Prompt Engineering.
on Ai, Llm, Prompt engineering, Machine learning, Productivity
In 2023, prompt engineering felt like casting spells. “Pretend you are a senior engineer…” “Think step by step…” “You will be tipped $200 for a good answer.” Some of these worked. Most were cargo cult. By 2026, we have actual empirical data on what moves the needle — and the picture is more nuanced than the discourse suggests.
