PagerDuty

Monitoring What You Can't See

This technical guide explains production monitoring and alerting fundamentals: you cannot directly observe running systems, so you rely on proxies (metrics, logs, traces) to know whether services are healthy. It defines the four golden signals — latency, traffic, errors, and saturation — and explains why saturation uniquely predicts imminent failure. The piece distinguishes dashboards (visible monitoring) from alerting (automated paging on threshold breaches) and warns about alert fatigue from noisy alerts. It introduces SLOs and error budgets as numeric service commitments that drive operational decisions (e.g., 99.9% availability implies ~43 minutes allowed downtime per month). Practical advice covers tuning alerts, using correlation IDs and structured logs for debugging, and prioritizing user-impacting signals for on-call paging.

SMS-first urgent notifications with email fallback

Technical guide for implementing urgent event notifications in Node.js that sends an SMS first, polls delivery status, and falls back to email after an escalation window (recommended ~90 seconds). The author provides a compact Node 20+ fetch-based implementation (no SDK) using idempotency keys, retry/backoff for 429 responses, and persistence of a fallback_sent_at to avoid duplicate fallbacks. The post compares provider trade-offs (Twilio, Vonage, Plivo, Postmark/Resend, Courier, Infrai), highlights US A2P 10DLC registration and regional sender-ID differences, and advises running the long-polling flow on a worker rather than inside an HTTP request.

n8n Guide: Self-Hosted Workflow Automation with AI

This technical guide explains how to use n8n, a fair-code, developer-first workflow orchestration tool, to automate business processes from simple webhooks to multi-agent AI enrichment. It covers core advantages (self-hosting for data sovereignty, native JavaScript/Python nodes, complex data handling), a Docker Compose example for quick self-hosted deployment, a real-world lead-processing architecture with AI enrichment and CRM routing, and production best practices (idempotency, error triggers, queueing, secure credentials). The article emphasizes native AI orchestration via integrations with LangChain, OpenAI, Claude, and local vector databases and offers operational patterns for scaling high-throughput workflows.