Building resilient OpenTelemetry Collector pipelines: batching, buffering, and persistence
Observability data is useful only if it arrives intact and on time. When you run an OpenTelemetry Collector as the central routing layer for traces, metrics, and logs, design choices...
Terraform vs Pulumi: choosing an IaC foundation by fundamentals
Infrastructure as code (IaC) is a pattern with one clear promise: describe the infrastructure you want, then reliably create, update, and audit it. When teams compare Terraform and Pulumi, the...
Verifiable, privacy‑aware AI summaries for incident reports
Incident reports—whether patient safety narratives, SOC tickets, or post‑mortems—are valuable but often long, inconsistent, and hard to triage. Recent work shows large language models (LLMs) can generate concise clinical summaries...
Platform engineering vs DevOps: what’s the real difference?
DevOps used to be the answer to slow releases, brittle handoffs, and teams that never talked to one another. Lately you’ve probably heard a new phrase in the same conversations:...
Secretless deployments from GitHub Actions to Kubernetes with OIDC and Argo Rollouts
Deploying to Kubernetes from CI used to mean stuffing long-lived cloud credentials into secrets, then hoping they never leaked. Today you can avoid that risk by using GitHub Actions’ OpenID...
When logs sing before systems scream: using RAG and embeddings to spot infra problems early
Logs are the noisy, honest heartbeat of modern infrastructure. They record everything from a failed API call to a slow database query, but the sheer volume and variety make them...
Picking the Right Serverless Use Case: when (and when not) to use serverless for your backend
Serverless computing is no longer a cutting‑edge experiment — it’s a mature set of options that includes classic FaaS (AWS Lambda, Google Cloud Functions, Azure Functions), serverless containers (Cloud Run,...
Managing dashboards with GitOps: an intro to observability as code
Observability as Code (OaC) applies the same engineering practices we use for infrastructure and application code—source control, code review, and automated pipelines—to monitoring assets like dashboards, alerts, and data sources....