Zetryn — Incident Intelligence Platform
An Incident Intelligence Platform designed to ingest OpenTelemetry signals (logs, metrics, and traces), correlate cross-service telemetry events asynchronously, and automatically detect and alert on incidents to minimize MTTD and MTTR.
> 01. Context & Objectives
Problem Statement
Modern microservices generate millions of un-correlated telemetry signals during outages. Engineers waste valuable time manually cross-referencing trace IDs across log aggregators and metric tools to isolate root causes.
> 02. Interactive Workflow Preview
Application Lifecycle Simulation
Go HTTP/gRPC workers receive high-concurrency telemetry signal batches from microservices.
> 03. System Architecture
Engineering Blueprint
High-throughput telemetry ingestion pipeline built with Go worker pools, Redis stream buffers, and OpenTelemetry signal correlation engine.
OTEL Receiver
Go / gRPC
Task Stream Buffer
Redis Streams
Correlation Engine
Go Worker Pool
Operator Dashboard
PostgreSQL / React
High-throughput OpenTelemetry collector handling continuous telemetry signal batches from microservices.
01.Ingestion Engine
Go-based HTTP/gRPC receiver handling high-concurrency OTEL signal batches with non-blocking worker pools.
02.Correlation Pipeline
Asynchronous Redis stream consumer matching span IDs across distributed service boundaries.
03.Operator Dashboard
PostgreSQL storage with optimized indexes & React console for live incident timelines.
> 04. Technology Stack
> 05. Key Highlights
Engineering Specifications
Asynchronous Event Correlation
Automatically links isolated logs and metric spikes to open trace spans across microservices.
Automated Root-Cause Alerts
Evaluates anomaly thresholds and triggers instant webhooks before cascading failures occur.