Engineering articles
Uptime checks, incident response, SLA tracking, and the parts of vendor monitoring that actually matter when something breaks.
20 articles in Engineering · page 1 of 3
Reading Vendor Status Feeds Programmatically: Formats, Endpoints and Traps
The formats vendors publish status in, the endpoints worth calling, and the failure modes that make naive parsing quietly and confidently wrong.
Shipping a Remote MCP Server: What OAuth 2.1 Actually Requires
PKCE, dynamic client registration, resource indicators, and a discovery chain that starts at a 401. The specs a remote MCP server must satisfy, and why each exists.
Observability vs Monitoring vs Telemetry: What Teams Need in 2026
Telemetry is the data, monitoring is the practice, observability is the property. What each of the three actually means, when each matters, and where third-party status fits.
OpenTelemetry Getting Started: A Practical Guide for SaaS Teams
A practical OpenTelemetry getting-started guide: what to instrument first, which SDKs to pick, how to ship to any backend, and the mistakes to avoid in production.
Distributed Tracing Best Practices for Microservices in 2026
Distributed tracing best practices for microservices: span design, sampling, context propagation, third-party calls, and the pitfalls that make traces useless during incidents.
GraphQL API Monitoring: Beyond REST Health Checks
GraphQL API monitoring done right: schema observability, resolver latency, error coalescing, persisted queries, and the metrics REST monitoring tools miss.
AI API Reliability: Monitoring OpenAI, Anthropic, and the LLM Stack
How to monitor AI API reliability in production: token quotas, model degradation, latency spikes, multi-provider fallback, and live LLM vendor status.
Cloud Dependency Mapping: How to Find the Vendors That Can Break Your Product
Build a cloud dependency map that connects vendors, APIs, regions, and components to customer workflows so your team can prioritize monitoring and resilience work.
Why Unified Status Monitoring Matters for Engineering Teams
Your team depends on dozens of cloud services. When one goes down, how fast do you know? Here's why a single pane of glass changes everything.