A Laboratory for Observability

Exploring SRE and Platform Engineering through a self-hosted telemetry stack.

Designed to eliminate configuration drift and optimize performance on a single-node rig using modern SRE principles.

Observability as an Engineering Discipline

Explain the transition from passive monitoring to active observability using OpenTelemetry.

Position the hub as a blueprint for self-hosting critical telemetry infrastructure without the overhead of enterprise SaaS.

Highlight the integration of GitOps and Infrastructure-as-Code to maintain a reliable and reproducible environment.

Core Principles

Signals over Noise

Standardizing on OpenTelemetry to provide immediate, high-fidelity clarity on service behavior across the entire stack.

Logic over Plumbing

Enforcing strict project encapsulation in the internal/ namespace to isolate core domain logic from infrastructure boilerplate.

Config as the Truth

Using GitOps to ensure version control remains the ultimate source of truth, with automated state reconciliation.

Pragmatic Orchestration

Leveraging Kubernetes for the data platform, managed declaratively via OpenTofu (Terraform) to ensure consistent and scalable deployments.

Mastering the OpenTelemetry Stack

  • Full Ownership: Complete control over data retention and privacy through self-hosting.
  • Operational Excellence: Demonstrates real-world SRE practices in a constrained environment.
  • Cost Efficiency: Optimized for single-node performance, reducing infrastructure overhead.
  • Modern Tooling: Leverages industry standards like OpenTelemetry and OpenTofu.
  • Educational Value: Serves as a living laboratory for testing new observability patterns.