Today
- Incident
- Metrics
- Logs
- Traces
- Deployments
- Kubernetes
- Topology
- Slack
- Human reconstructs reality
AUTOBSERVE DESIGN PARTNER PROGRAMME
Help shape the future of production investigation.
We're working with a small group of Kubernetes, OpenTelemetry and distributed systems teams to design a better way to investigate production incidents using real operational workflows—not synthetic demos.
Why this programme exists
Great infrastructure products aren't invented.
They're validated against real production systems.
Before asking whether you're a fit, we answer why this programme should exist at all.
Real incidents
Synthetic demos rarely capture the complexity of production.
Real operators
Engineers investigate incidents very differently from product assumptions.
Shared learning
The programme exists to validate workflows—not just features.
Programme status
- Programme
- Early Product Collaboration
- Current Focus
- Incident Investigation
- Primary Environment
- Kubernetes
- Preferred Telemetry
- OpenTelemetry
- Working With
- Platform Engineering, SRE, Senior Developers
The production problem
Manual reconstruction vs connected investigation.
Today, humans stitch tools into a story. Design partners help us replace that reconstruction with connected evidence.
AutoObserve
- Connected evidence
- Investigation
- Decision
Probably not for you
Transparent self-qualification.
Engineers appreciate honesty. This programme is a working partnership—not an open signup for every team.
- You mainly want dashboards.
- Your systems have little distributed complexity.
- You're looking for enterprise procurement.
- You expect finished commercial software.
The partnership
A working exchange—not a product handout.
Both sides put something real on the table. Both sides learn.
Your team
- Real workflows
- Real incidents
- Operational constraints
- Engineering feedback
AutoObserve
- Early capabilities
- Direct collaboration
- Implementation support
- Product influence
This isn't complimentary product access. It's a working partnership where both sides learn.
Programme journey
How the work actually runs.
Baseline is where real product evidence begins—representative incidents, measured together.
Baseline — where product evidence begins
We capture how your team investigates today—time, tools, and confidence.
Technical fit
Environment compatibility without a rip-and-replace.
You don't need to replace your observability stack to evaluate AutoObserve.
Today
- Kubernetes
- OpenTelemetry
- Metrics
- Logs
- Traces
- Existing observability
then AutoObserve
AutoObserve
- Evidence
- Correlation
- Investigation
- Decision
Existing stack
Add AutoObserve alongside what you already run.
- Applications
- OpenTelemetry
- Existing pipeline
Existing platform
AutoObserve
You don't need to replace your observability stack to evaluate AutoObserve.
Security & data principles
Your production data stays under your control.
Trust before application—no marketing language.
- Self-hosted
- Sanitized incidents supported
- Architecture review available
- Security documentation
Application
Apply to Become a Design Partner
Tell us about your environment and investigation reality. We read every application.
FAQ
Practical questions.
- What stage is AutoObserve currently at?
- Early product collaboration. We work with a small group of design partners on real investigation workflows while the platform is still being shaped.
- Do we need Kubernetes?
- Yes for this programme. Kubernetes is our primary environment focus for design partners.
- Do we need OpenTelemetry?
- OpenTelemetry is strongly preferred. It is how we connect evidence without forcing a rip-and-replace of your observability stack.
- Do we need to replace our observability tools?
- No. AutoObserve is evaluated alongside your existing pipeline and platforms.
- What do you expect from partners?
- Real production problems, engineering feedback, and regular working sessions—not a one-way product tour.
- What happens after the programme?
- Partners keep influence on what ships next, and we decide together whether continued collaboration still creates value for both sides.