Per-service SLOs
Define objectives for each service so reliability targets match how the service is used.
Operate
SLOs & Reliability
Make reliability a decision, not a surprise
Set per-service objectives and track them against an error budget you can actually spend. Burn-rate warnings tell you when you are using that budget too fast, while there is still time to act. Reliability becomes a deliberate choice you make rather than an outage you absorb.
- Reliability targets that are tracked live against a real budget, not reviewed for the first time during a postmortem
- A clear, timely signal when to hold a release versus when the budget supports shipping
- A recorded history of budget state and team response that does not have to be reconstructed from memory
The problem
You have reliability targets written down somewhere, but no live number tells you when you are spending them too fast. The first real signal that the budget is exhausted is often the outage itself. By then the decision to ship one more change was already made without the data, and the postmortem is the only record that anything went wrong.
Without IntegraCI
- Reliability targets in a document, not tracked against a live budget
- No signal until the budget is already gone
- Ship-or-stabilize decisions made on instinct, not numbers
- Outage is the first warning that something was off
With IntegraCI
- Per-service objectives tracked against a budget that updates as the service runs
- Burn-rate warnings reach you while there is still room to respond
- Budget state visible at the moment a team decides whether to ship
- Reliability choices recorded in a tamper-evident trail, not reconstructed after the fact
What you get
Error budget tracking
See how much budget remains and decide whether to ship or stabilize.
Burn-rate warnings
Get warned when you are spending the budget too quickly, before it runs out.
Reliability as a decision
Trade speed against stability with the numbers in front of you, not after the fact.
How it works
- 1
Define objective
You set a target for a service and the budget that backs it.
- 2
Track the budget
Delivery and health signals draw down the budget as the service runs.
- 3
Warn on burn
Burn-rate alerts reach you while there is still room to respond.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
SLO targets and burn-rate thresholds are defined as policy as code, so the rules that govern when a warning fires are explicit, versioned, and applied consistently across every service. A team cannot quietly raise a threshold without that change being tracked alongside the policy that set it.
Recorded, tamper-evident
Each budget draw-down, threshold breach, and warning event writes once to a tamper-evident audit trail, so you can show not just that a service met its objective over a window, but when the signal arrived, what the budget state was, and what followed.
Works with your stack
Connect the tools you already run.
Observability tools feed the health signals that draw down the budget; CI/CD and deploy connectors surface the delivery events that affect it.
- Akuity
- Amazon Web Services
- Buildkite
- CircleCI
- CNCF Tekton
- Drone CI
- Harness
- Jenkins
- Apple
- Argo Project
- AWS
- Cloudflare
- CNCF
- Coder
- Crunchy Data
- Daytona
- Env0
- +21 more
Who it’s for
Where teams reach for it.
Release decisions during elevated risk
A team preparing a Friday deploy checks the current error budget before merging. The budget state is visible in the platform, so the call to ship or hold is made with the numbers in front of everyone rather than on feel.
Platform-wide reliability standards
A platform team defines minimum SLO targets as policy as code and applies them across every service tier. Teams see how their service tracks against the standard without the platform team having to chase each one manually.
On-call early warning
An on-call engineer receives a burn-rate warning at the point where roughly a third of the weekly budget has been spent in an hour. There is still time to investigate and respond before the objective is breached.
Questions, answered.
Does IntegraCI replace our APM or monitoring tool?
No. IntegraCI orchestrates decisions on top of the health signals your existing observability tools already produce. Your monitoring stack keeps running; IntegraCI tracks what the signals mean for your error budget and tells you when you are spending it too fast.
Who defines the SLO targets and budget thresholds?
Your team defines them as policy as code. IntegraCI tracks budget consumption against whatever target you set, so the rules are explicit, versioned, and visible rather than held in someone's head.
What draws down the error budget?
Delivery and health signals from your connected observability and deployment tools. As the service runs, those signals update the remaining budget so the number you see reflects what is actually happening, not a snapshot from last week.
Can different services have different targets?
Yes. SLOs are defined per service, so a user-facing checkout flow can carry a tighter objective than an internal batch job. Each service tracks its own budget independently.
Put SLOs & Reliability on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.