Use AI to Discover
What to Measure

SLO Discovery is a conversational assistant inside the Nobl9 platform. It interviews your team about how a service really behaves, then turns that conversation into structured SLO proposals your engineers can review and refine.
Available inside Nobl9 from the Service Level Objectives page

Watch SLO Discovery in Action

See how a guided interview moves from a plain service description to structured SLO proposals.

 

 

THE CHALLENGE

Most SLO Programs Stall Before the First SLO Is Written

Teams hit a design problem that tooling alone cannot solve: working out what reliability actually means for the people using the service.

Blank-slate paralysis

Teams stall on the very first design decisions, long before any configuration begins. Your monitoring platform cannot tell you what matters to your customers until they start complaining.

The onboarding gap

People new to SLOs have to learn the concepts before they can contribute to SLO design. That learning curve slows adoption across the whole organization.

From signal to reliability

Raw telemetry data does not tell you if your users expect perfection, knowing what "good enough" looks like can save you money and time.

Upstream of every SLO tool

Every SLO platform assumes you already know what to measure. SLO Discovery works on the decision that happens before a single SLO gets created.

THE PROCESS

How a Discovery Session Runs

A guided conversation that surfaces what your service needs to commit to, in about the time it takes to brief a colleague.
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Describe your service

Give a short, concrete description of your service and what it does. That seeds the session with enough context for the assistant to ask useful questions.

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Guided interview

The assistant asks targeted follow-up questions on system boundaries, critical user journeys, failure modes, and acceptable quality thresholds. A topic panel tracks coverage so your knowledge gaps stay visible as you go.

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Generate SLO definitions

Once there is enough context, choose Generate SLO definitions to turn the conversation into structured proposals that Nobl9 can evaluate.

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Review proposals

Proposals land in the SLO proposals panel. Your team reviews, refines, and decides which ones carry forward into Nobl9's full SLO creation flow.

WHAT YOU GET

Structured Proposals With the Context Your Team Needs

Every proposal arrives as a reviewable draft with the reasoning attached, so your team can argue with it straight away.
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Aspect being measured

Each proposal names the specific reliability dimension under consideration, so there is no ambiguity about what the SLO would track.

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Success indicator

The signal or metric that would confirm the SLO is being met, grounded in the context you gave during the interview.

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Suggested target with rationale

A draft reliability target and an explanation of why that threshold was proposed, so your team has something concrete to debate.

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Failure risks

What could push this SLO into a breach, based on the failure modes and quality thresholds you described in the session.

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Error budget implications

How the proposed target translates into an error budget, so teams can weigh reliability investment against engineering velocity before committing.

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Session management and feedback

Track, rename, and revisit past discovery sessions. An explicit feedback mechanism lets your team help improve the underlying model over time.

WHAT MAKES IT DIFFERENT

Built to Support Your SRE Team's Judgment

Every proposal stays a draft until your team decides otherwise. Your engineers keep the final say on what reliability means for the service they run.
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Non-destructive by design:

Nothing is created in your organization during a discovery session. Every output arrives as a draft proposal, and your team stays in control of what gets built.

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Human-in-the-loop review

Every proposal requires explicit review and refinement in the SLO proposals panel before anything is acted on. The assistant suggests, your team makes the call.

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Tackles the upstream problem

SLO Discovery works on the "what should we even measure" question that comes before Nobl9's guided or policy-based SLO creation flows. It fills the gap most SLO tooling assumes is already solved.

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Structured output for review

The result is draft guidance written for people to read and discuss, giving your team a shared starting point for the SLO design conversation.

WHERE DISCOVERIES BECOME SLOS

Your Monitoring Stack, Your Rules

SLO Discovery is a design and ideation tool. A session runs from your team's knowledge of the service, so it works before any data source has been connected.

When your team is ready to act on a proposal, the resulting SLOs live in the Nobl9 platform, which monitors-agnostic and plugs into the tools your organization already uses via native integrations and the SLI Connect ingestion engine.
View all Nobl9 Integrations
GOOD TO KNOW

Before You Start a Session

A few things worth knowing about how SLO Discovery behaves today.

Still experimental

SLO Discovery is an experimental Nobl9 Labs capability, its behavior and output may change without notice while the feature matures.

Switched off by default

The feature is not enabled out of the box. Reach out to Nobl9 support to turn it on for your organization.

Everything stays a draft

Output is draft guidance for your team to review. No SLOs are created in your organization until your team explicitly acts on a proposal.

Session history may not persist

Chat history may not be durable between sessions, treat the feature as unsuitable for regulated, contractual, or auditable environments.

Ready to Define What Reliability Means for Your Service?

Talk to our team to see SLO Discovery running, try the platform in the sandbox, or read the documentation to understand how it fits your workflow.