Signals over Noise
Standardizing on OpenTelemetry and eBPF (Cilium/Kepler) to provide immediate, high-fidelity clarity on service, network, and energy behavior across the entire stack.
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.
Showcase the integration of Model Context Protocol (MCP) as a standardized gateway for AI agents to interact with telemetry data.
Core Principles
Logic over Plumbing
Enforcing strict project encapsulation in the internal/ namespace to isolate core domain logic from infrastructure boilerplate.
Config as the Truth
Leveraging ArgoCD to ensure version control remains the ultimate source of truth, with an automated GitOps reconciliation loop.
Pragmatic Orchestration
Leveraging Kubernetes for the data platform, managed declaratively via OpenTofu (Terraform) to ensure consistent and scalable deployments.
Agentic Intelligence
Exposing system state via the Model Context Protocol (MCP) to enable autonomous diagnostics and AI-native operations.
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.