The Mezmo blogSRE agents in production.

Hands-on guides, investigation walkthroughs, and engineering notes on AI SRE agents, AURA, and running AI in production.

Featured posts

The pager shouldn't be what starts the investigation
The pager shouldn't be what starts the investigation
A Mezmo AI Investigation is a root cause analysis record AURA produces when a Pipeline node alert fires, with evidence, a confidence score, and a root cause.
What an AI SRE agent actually finds when you point it at a broken Kubernetes cluster
What an AI SRE agent actually finds when you point it at a broken Kubernetes cluster
Build a working AI SRE agent that investigates Kubernetes incidents using real cluster state and Prometheus metrics, with least-privilege tool access.
An SRE agent for production
An SRE agent for production
AURA is Mezmo's open-source SRE agent that runs in your infrastructure to investigate incidents, ground findings in real telemetry, and keep actions reviewable
The answer to SRE agent failures: Context Engineering
The answer to SRE agent failures: Context Engineering
AI SRE agents overpromise but underdeliver due to missing context. Learn why raw telemetry breaks them — and how Mezmo’s Context Engine fixes it

Latest posts

Run AURA in Slack without opening a single inbound port
Run AURA in Slack without opening a single inbound port
AURA, Mezmo's open source AI SRE agent, now connects directly to Slack for incident investigations using Socket Mode, with no public endpoint or inbound ports.
Where Jev fits in ops
Where Jev fits in ops
Explore how Jev's structured decision models can help SRE teams evaluate evidence, choose next steps, and build more reliable autonomous operations.
From alert to answer: a hands-on investigation with trace analysis in Mezmo
From alert to answer: a hands-on investigation with trace analysis in Mezmo
Walk through OpenTelemetry trace analysis in Mezmo, from service maps and anomalous traces to AI-powered investigations and root cause analysis.
Builder in the loop: what production agents were missing before AURA
Builder in the loop: what production agents were missing before AURA
AURA engineer Mike Shearer explains why production agents need persistent context, server-side execution, orchestration, and measurable evaluation.
5 Things to Know About Context Engineering
5 Things to Know About Context Engineering
Context engineering helps SREs and AI agents reason over telemetry by designing structure, lineage, and intent into every signal for modern operations.
Builder in the loop: Tony Rogers on stress-testing AURA before production
Builder in the loop: Tony Rogers on stress-testing AURA before production
Tony Rogers explains how Mezmo tests AURA with internal benchmarks, trace inspection, and workflow validation to make agentic SRE reliable before production
Builder in the loop: Eric Lake on making AURA smarter after every incident
Builder in the loop: Eric Lake on making AURA smarter after every incident
Mezmo SRE Eric Lake connected AURA to GitHub runbooks via MCP, auto-generates missing ones, and stores investigation memory across incidents.
Why SRE agents need orchestration, not just more tools
Why SRE agents need orchestration, not just more tools
Single SRE agents hit a ceiling fast. See how AURA's orchestration mode routes work across scoped agents to cut tool overload and context confusion.
When your agents hallucinate at 2 AM, it is not a model problem
When your agents hallucinate at 2 AM, it is not a model problem
Context engineering is the deliberate design of telemetry, metadata, and feedback loops so AI agents reason accurately over production systems during incidents
Builder in the loop: Henry Andrews on building AURA like production software
Builder in the loop: Henry Andrews on building AURA like production software
Mezmo PM Henry Andrews on why AURA uses Rust, TOML configs, and OpenTelemetry to make MCP-native agent workflows inspectable and production-ready for SRE teams.

Browse all blog topics

Active Telemetry
Active Telemetry
Agentic Observability
Agentic Observability
AI Agent Infrastructure
AI Agent Infrastructure
AI SRE
AI SRE
Alerting & Incident Response
Alerting & Incident Response
AURA
AURA
Context Engineering
Context Engineering
Integrations
Integrations
Observability Cost Control
Observability Cost Control
Observability Strategy
Observability Strategy
OpenTelemetry (OTel)
OpenTelemetry (OTel)
Platform Observability
Platform Observability
Production AI
Production AI
Root Cause Analysis
Root Cause Analysis
Security & Compliance
Security & Compliance
Site Reliability Engineering (SRE)
Site Reliability Engineering (SRE)
Telemetry for AI Agents
Telemetry for AI Agents
Telemetry Pipeline
Telemetry Pipeline
Thought Leadership
Thought Leadership