ABOUT AUTOBSERVE

We're building a better way to understand production systems.

AutoObserve is building a Production Intelligence Platform that helps engineering teams investigate production incidents using connected evidence instead of disconnected observability workflows.

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KubernetesOpenTelemetry

The conviction

Why production investigation needs a new architecture

Production systems have become remarkably good at generating telemetry.

Metrics
Logs
Traces
Deployments
Infrastructure events

Yet during an incident, engineers still spend much of their time manually reconstructing relationships between those pieces of evidence.

We think production investigation should begin with connected evidence rather than disconnected tools.

The problem

Evidence fragmentation in modern distributed systems

Observability provides evidence. AutoObserve focuses on connecting and reasoning over that evidence.

Incident workflow

Incident
Metrics
Logs
Traces
Deployments
Topology
Engineer reconstructs reality

AutoObserve

Connected evidence
Investigation
Decision support

Our architecture

Start with evidence. Build understanding.

AutoObserve is being built as a Production Intelligence Platform — not another dashboard product.

Evidence
Telemetry, changes, and topology collected as inspectable sources.
Relationships
Correlation and topology connect signals into a shared causal frame.
Investigation
Competing explanations tested against connected evidence.
AIDDE
Evidence-driven decision support with explainable reasoning.
Automation
Bounded, reviewable response actions — human control by default.

View full architecture →Read the engineering papers →

Engineering principles

Six technical commitments that shape every product decision

These principles describe how AutoObserve is designed — not generic corporate values.

01
Evidence before conclusions
Every recommendation begins with observable evidence.
02
Explainable systems
Engineers should always understand why the platform reached a conclusion.
03
Human control
Automation should remain bounded and reviewable.
04
Open standards
Build around OpenTelemetry and open interfaces.
05
Incremental adoption
Integrate with existing infrastructure before replacing it.
06
Practical engineering
Solve real production workflows before adding new features.

The team

Engineering background and why we build AutoObserve

AO

Cloud-native infrastructure
Kubernetes
Distributed systems

After years of working with cloud-native infrastructure, Kubernetes and distributed systems, we became convinced that telemetry collection had advanced much faster than production investigation. AutoObserve is our attempt to reduce the engineering effort teams spend understanding complex production incidents.

We're a small engineering-focused team today, working closely with design partners to validate the platform against real production systems.

Built in India

Built in India. Designed for engineering teams everywhere.

AutoObserve is developed from India and designed for globally distributed engineering organisations. OpenTelemetry, Kubernetes and cloud-native infrastructure are global ecosystems, and our goal is to build for those communities regardless of geography.

Open engineering

We participate in open engineering ecosystems.

AutoObserve builds on open standards and publishes engineering work where it helps the community evaluate and adopt the platform.

What AutoObserve isn't

Clarify positioning through honest comparisons

AutoObserve is a Production Intelligence Platform — not a replacement for your entire observability stack.

What AutoObserve is not compared with what it provides instead
Not	Instead
Another dashboard builder	A Production Intelligence Platform
A proprietary telemetry ecosystem	Built around OpenTelemetry and open standards
An AI chatbot for operations	Evidence-driven investigation and decision support
A replacement for every existing tool	Incremental adoption alongside existing infrastructure

Contact

Reach the team

Engineers usually know what they want — pick the channel that fits.

FAQ

Practical questions

Why another observability platform?: AutoObserve is not another observability platform. Observability provides evidence — we focus on connecting and reasoning over that evidence during production investigation.
Why OpenTelemetry?: OpenTelemetry is the practical standard for portable telemetry. Building on OTel lets teams adopt AutoObserve incrementally without replacing their existing pipeline.
Are you open source?: AutoObserve is in early development. We build on open standards, publish engineering work on GitHub where appropriate, and are not positioning as a fully open-source observability replacement.
Where are you based?: AutoObserve is developed from India and built for globally distributed engineering teams working with Kubernetes, OpenTelemetry, and cloud-native infrastructure.
Can we become a design partner?: Yes — if your team runs Kubernetes workloads and investigates real production incidents. Apply through the Design Partner programme and we review every submission.
How can we contribute?: Start with docs and GitHub issues, join the Design Partner programme for hands-on product collaboration, or reach out by email with production workflows we should learn from.