
Mezmo
Mezmo is a paid observability and log-management platform from Mezmo, founded in 2015 and headquartered in San Jose, California.
What Mezmo is
Mezmo is a paid observability and log-management platform from Mezmo, founded in 2015 and headquartered in San Jose, California. It combines AURA, an open-source SRE agent harness, with an optimized data plane for AI-powered operational workflows. AURA runs with your tools, telemetry, and operational context, and can triage alerts, investigate incidents, and surface root causes with evidence. Example workflows include deployment regression diagnosis, alert-storm triage, on-call handoffs, and performance regression investigation. Active Telemetry filters, enriches, and routes telemetry between sources and observability platforms in real time. Log features include pipelines, structured parsing, live tailing, and archive export. Destinations include Datadog, Elasticsearch, Google Cloud Storage, Kafka, New Relic, OpenTelemetry, Prometheus Remote Write, S3, Splunk, and Sumo Logic. AURA supports bring-your-own or Mezmo-managed language models and can run on a laptop, Docker, or Kubernetes. The cloud deployment offers role-based access controls and searchable retention options of 3, 7, 14, or 30 days.
Good
- AI agent investigates incidents and surfaces evidence
- Real-time telemetry filtering, enrichment, and routing
- Supports many observability and storage destinations
- AURA runs on laptop, Docker, or Kubernetes
- Built-in role-based log access controls
Watch out
- Paid service with pricing available on request
- No free plan
- AURA documentation requires macOS or Linux
- Customer log retention capped at 30 days
Who it suits
Mezmo suits platform engineering and SRE teams managing telemetry, alerts, incidents, and log pipelines. It fits organizations needing cloud deployment, configurable destinations, and an SRE agent that can run with their own tools and model choice.
Verdict
Mezmo brings log processing, telemetry routing, and AURA-driven SRE workflows into one platform. Its suitability depends on your deployment environment, retention requirements, and preferred model and integrations.
Plans and prices
From Mezmo's own pricing page, checked 10 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Custom pricing | Priced on request | Based on data volume and retention needs · AI features included · no separate AI query charges |
The facts
Each one read from Mezmo's own pages, with the date it was checked.
What it does
- Access control
- Built-in role-based access controls limit users and agents to logs they are authorized to inspect.checked 10 Oct 2026
- Access controls
- The pricing page says built-in RBAC restricts users’ and agents’ log access to what they are authorized to inspect.checked 9 Oct 2026
- AI context
- The platform clusters related events and prepares telemetry context for AI-assisted root cause analysis.checked 10 Oct 2026
- Archive export
- Yeschecked 24 Sep 2026
- AURA
- AURA is an open-source SRE agent harness that runs in your environment with your tools, telemetry, and operational context.checked 9 Oct 2026
- Compliance
- Mezmo identifies SOC 2 Type II, ISO 27001, HIPAA, GDPR, PCI-DSS Level 1, and CSA STAR Level 1 among its compliance credentials.checked 10 Oct 2026
- Data handling
- Mezmo says it does not store customer log data for more than 30 days and offers searchable retention plans of 3, 7, 14, or 30 days.checked 10 Oct 2026
- Data retention
- The security page says customer log data is not stored for more than 30 days and lists searchable log plans of 3, 7, 14, or 30 days.checked 9 Oct 2026
- Deployment
- Mezmo Edge can process telemetry in a customer environment, and AURA can be deployed in a Kubernetes cluster using Helm.checked 10 Oct 2026
- Deployment options
- cloudchecked 24 Sep 2026
- Destinations
- Pipeline destinations include Datadog, Elasticsearch, Google Cloud Storage, Kafka, New Relic, OpenTelemetry, Prometheus Remote Write, S3, Splunk, and Sumo Logic.checked 10 Oct 2026
- Incident analysis
- Mezmo’s SRE agent triages alerts, investigates incidents, and surfaces root causes with evidence.checked 9 Oct 2026
- Integrations
- Documented ingestion integrations include AWS CloudWatch, Docker, Fluent Bit, Fluentd, GitHub Events, Heroku Logs, OpenTelemetry Exporter, Vercel, and Vector.checked 10 Oct 2026
- Live log tailing
- Yeschecked 24 Sep 2026
- Log pipelines
- Yeschecked 24 Sep 2026
- Model choice
- Mezmo supports its native agents or customer-connected models and workflows through MCP.checked 10 Oct 2026
- Pricing basis
- Pricing depends on data volume and retention needs, and the pricing page displays no dollar amounts.checked 9 Oct 2026
- Product
- Mezmo pairs the AURA production-grade control plane with an optimized data plane to help platform engineering and SRE teams deploy AI-powered workflows.checked 10 Oct 2026
- Security
- Mezmo says its security program aligns with SOC 2, ISO 27001:2022, HIPAA, and PCI DSS frameworks, and describes encryption in transit and at rest.checked 10 Oct 2026
- SRE workflows
- AURA supports workflows such as alert investigation, deployment regression diagnosis, alert storm triage, on-call handoffs, and performance regression investigation.checked 10 Oct 2026
- Structured log parsing
- Yeschecked 24 Sep 2026
The company
- Founded
- 2015checked 19 Oct 2026
Money
- Free plan
- Nochecked 24 Sep 2026
Where it runs
- Supported agent platforms
- The Mezmo Agent documentation lists Ubuntu, Debian, CentOS, RHEL, Kubernetes, Windows, and OpenShift as supported platforms, with Linux AMD64 and ARM64 architectures.checked 10 Oct 2026
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