Dash0 acquires Polar Signals

Service Level Objectives

Reliability You Can Put a Number On

Set a target for how reliable a service should be, then watch your error budget and burn rate in real time. See which deploy introduced bad events, and get alerted before users feel it.

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Reliability You Can Put a Number On

One number your whole organization agrees on

Teams align around reliability as a common standard, treating it with the same shared commitment as an OKR

A target the business can rally around
An OKR for reliability

A target the business can rally around

Set a target like 99.7% for a service and everyone works toward the same figure, so technical work ladders up to a business outcome.

Leadership and on-call read the same SLO
Two audiences, one number

Leadership and on-call read the same SLO

Leadership sees whether the service is meeting the bar. Engineering sees which step is failing. Neither has to translate for the other.

Prove whether goals are being met
Objective, not anecdotal

Prove whether goals are being met

Stop arguing about whether things are "fine." The error budget says what is actually happening, and prioritization follows the number.

Define an SLO in one or two expressions

Define your SLI in PromQL, your way. Dash0 does the rest.

Good, bad, or raw: define the indicator your way
PROMQL INDICATORS

Good, bad, or raw: define the indicator your way

Describe your indicator with PromQL over telemetry you already send. Count good events against total, count bad events against total, or write a single raw expression that returns the ratio directly, such as the share of requests under a latency threshold. Dash0 computes the SLI from whichever you choose.

Dash0 handles the heavy lifting
No recording-rule plumbing

Dash0 handles the heavy lifting

Dash0 creates and manages the recording rules that materialize the metrics behind your SLO, so there is nothing for your team to hand-build or maintain.

Create SLOs the way you work
SELF-SERVE UI, API, OR IAC

Create SLOs the way you work

Create and manage SLOs in the UI, or as code through the control-plane API, Terraform provider, Kubernetes Operator, or CLI. Or ask Agent0 to set it up for you.

See the budget burn before users feel it

Every SLO gets a live view of its target, remaining budget, and how fast that budget is going.

How much failure you have left
Error budget and burndown

How much failure you have left

The detail view shows the target, error budget remaining, and the burndown across your window, continuously evaluated.

A leak and a fire look different
Burn rate, fast and slow

A leak and a fire look different

A slow burn drains the budget over days. A fast burn is spending it many times faster than sustainable. You can tell which one you are in at a glance.

From SLO to logs and traces
Straight to the evidence

From SLO to logs and traces

Drill from any SLO straight into the underlying logs and traces, so the number always leads back to the evidence.

Define it, watch it, trace it back

OpenSLO, in your IaC
DEFINITIONS YOU KEEP

OpenSLO, in your IaC

SLO definitions use the OpenSLO format, live in your own infrastructure-as-code, and export whenever you want them. Access control and folders keep edit rights with the team that owns the service.

A leak pings, a fire pages
Multi-window burn-rate alerts

A leak pings, a fire pages

Alerts fire on how fast the budget is burning across multiple windows, so a slow leak and a sudden fire get the different responses they deserve.

Catch a bad deploy before your users do
DEPLOYMENT EVENTS

Catch a bad deploy before your users do

Deployment events overlay the SLO view, so a release that introduces bad events shows up the moment the burn rate moves. Observability-first development: ship AI-written code and see its impact immediately.

Migrating from a proprietary SLO tool? Definitions in the OpenSLO format come with you instead of being rebuilt from scratch.

Read the docs