Quality Assurance, Telemetry and Observability

In complex systems, simple up/down monitoring is no longer sufficient. Observability solutions make the internal state of applications visible at any time through telemetry data (metrics, logs, traces) — for early detection of problems before they affect the user experience, and drastically shorter recovery times (MTTR).

Focus Areas

Full-Stack Distributed Tracing The path of a single user request across all microservices is made visible — bottlenecks are found with pinpoint accuracy.

Service Level Indicators (SLI/SLO) Metrics that truly matter for the business (e.g., successful checkouts per minute) are defined and alerting is aligned accordingly.

OpenTelemetry (OTel) Standardisation Vendor-neutral standards for data collection protect against dependencies on expensive monitoring providers (no vendor lock-in).

Use Cases

  • Highly Available Systems: Ensuring SLAs in critical industries (medicine, e-commerce).
  • Performance Optimisation: Data-driven identification of slow database queries or API calls.
  • Incident Response: Accelerating root cause analysis in complex system failures.

Methods

The methods behind this are documented in the Neuland Handbook: