Temporal Workflow Systems for SRE

June 1, 2023 · 1 min read
projects

Summary

Durable workflow orchestration using Temporal for SRE automation. Codified incident response, infrastructure provisioning, and operational runbooks as reliable, observable workflows.

Problem

Manual runbooks for incident response and infrastructure operations were error-prone, inconsistent across team members, and lacked visibility into execution state and history.

Constraints

  • Workflows must survive worker restarts and infrastructure failures
  • Full execution history for post-incident review
  • Must integrate with existing alerting and communication tools
  • Gradual adoption: new workflows alongside existing manual processes

Architecture

Temporal server cluster with Go workers executing typed workflows and activities. Workflows codify operational procedures — each step is durable, retryable, and observable.

Key decisions

  • Temporal over custom job queues: Built-in durability, retry policies, and execution history eliminate most infrastructure complexity
  • Go workers: Type-safe workflow definitions, single-binary deployment, low resource overhead
  • Activity-based integration: Each external system interaction is an isolated activity — testable and independently retryable

Outcome

Operational workflows run reliably through infrastructure failures. Incident response time reduced through automated, codified procedures with full execution visibility.

Stack

Go, Temporal, gRPC, PostgreSQL, Prometheus, PagerDuty API, Slack API

Authors
DevOps Architect · Applied AI Engineer
I’ve spent 20 years building systems across embedded firmware, security platforms, fintech, and enterprise architecture. Today I focus on production AI systems in Go — multi-agent orchestration, MCP server ecosystems, and the DevOps platforms that keep them running. I care about systems that work under pressure: observable, recoverable, and built to last.