SRE
Reliability work only becomes real once it's measured — SLOs, error budgets, and observability that tell you precisely how much risk you can afford to take on the next release. We set up this discipline for production systems, including chaos engineering to find failure modes before customers do, and toil-reduction work so your on-call team isn't drowning in the same three alerts every week. This is the service for teams whose production incidents feel unpredictable, or whose on-call rotation is burning people out. You get SLOs your team actually uses to make release decisions, not a dashboard nobody looks at.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose current incident patterns, alert noise, and toil sources to find what's actually costing reliability.
- 2
Define SLOs and error budgets for one critical service and pilot the alerting and dashboards against real traffic.
- 3
Review the pilot SLOs with your team and adjust thresholds based on what's actually actionable versus noisy.
- 4
Roll out SLOs, observability, and chaos testing across remaining services with an on-call process built around them.
What You Get
Deliverables from this engagement
- Defined SLOs and error budgets for your critical services
- Observability dashboards tied to actionable alerts
- Chaos engineering test results and identified failure modes
- On-call runbook reducing repetitive toil
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about SRE