Blog — Page 19 of 53
Browsing page 19 of 53 — 634 articles and counting.
Production Traffic Replay and Shadow Testing: Validating Changes Against Real User Traffic Without Risk
How to capture production traffic, replay it against new service versions, and compare results to validate changes before they reach users. Covers GoReplay, tcpdump, custom middleware, response diffing, and CI/CD integration.
Building a Developer Experience Program: Internal Tooling Strategy, Feedback Loops, and Measuring Engineering Productivity
How to formalize developer experience as a discipline in orgs of 10-100 engineers: DX surveys, golden paths, feedback loops, and ROI measurement without theater.
Engineering Team Health Metrics: Burnout Indicators, Developer Experience Surveys, and Retention Signals for Engineering Leaders
A practical guide for engineering managers and CTOs on measuring team health beyond velocity and DORA metrics. Covers burnout indicators, developer experience survey design, retention risk signals, and building a lightweight health dashboard.
Designing a Data Migration Pipeline: Schema Mapping, Incremental Sync, and Zero-Downtime Cutover
Moving data between systems at scale is not a copy operation. It is a multi-phase pipeline with schema transformation, CDC-based incremental sync, dual-write coordination, and a cutover sequence you can abort at any point. This article covers the full architecture.
Designing a Database Proxy: Connection Pooling, Query Routing, and Read/Write Splitting at Scale
Database proxies like PgBouncer, ProxySQL, and Vitess solve connection exhaustion, read scaling, and failover at the infrastructure layer so your application does not have to. Here is how they work under the hood and when each strategy makes sense.
Implementing Optimistic Updates in React: Mutation Strategies, Rollback Patterns, and Server Reconciliation
How to build React UIs that update immediately on user action and safely reconcile with server state, covering useOptimistic, TanStack Query, error rollback, and conflict resolution.
Passkeys and WebAuthn in Production: Passwordless Authentication, Device Credential Management, and Migration Strategies
A practical guide to WebAuthn registration and authentication ceremonies in TypeScript, credential storage and lifecycle management, cross-device hybrid transport, conditional UI for passkey autofill, migrating password users to passkeys, and the real production challenges of device-bound credential management.
Building an AI-Powered Data Quality Pipeline: Automated Validation, Anomaly Detection, and Schema Drift Prevention
Rule-based validation breaks down as data sources multiply. This guide covers statistical profiling, ML-based anomaly scoring, schema drift detection with embeddings, LLM-assisted rule generation, and automated data contract enforcement for production ingestion pipelines.
Building an AI-Powered Security Operations Pipeline: Threat Detection, Alert Triage, and Automated Response for Startup Security Teams
How to build a production security operations pipeline using AI for alert triage, threat detection, and automated response. Covers event ingestion, LLM-powered alert deduplication, ML anomaly scoring, SOAR-lite automation, and human-in-the-loop escalation patterns.
LLM Function Calling in Production: Tool Definitions, Execution Sandboxing, and Error Recovery in TypeScript
LLM function calling demos work. Production systems break in specific, predictable ways: bad schemas, blind trust in model arguments, missing sandboxes, no retry strategy. Here is the engineering picture across OpenAI, Anthropic, and open-source models.
Production Kubernetes Troubleshooting: Debugging CrashLoopBackOff, OOMKilled, and Networking Failures
A systematic guide to debugging the most common Kubernetes production failures. Covers CrashLoopBackOff diagnosis with exit codes, OOMKilled prevention and memory right-sizing, DNS resolution failures, service networking issues, and the kubectl commands experienced operators reach for first.
Prometheus and Grafana for Startups: Setting Up Production Monitoring and Alerting from Scratch
A practical guide to building a production-grade monitoring stack with Prometheus, Grafana, and Alertmanager for startup teams. Covers instrumentation, the four golden signals, useful dashboards, noise-reducing alerts, and when to graduate to a managed solution.