Yesp StudioConfidential · SME SaaS
Zero incident regressions at 7× scale and flat infrastructure spend.
The platform needed to scale event volumes by 7× without a hiring spike.
Context, scope, and success criteria
The SaaS business was growing quickly, and event volume was increasing faster than the team could add people. Reliability issues were starting to appear in edge cases, and the founders needed a way to scale without turning every growth spurt into an incident response exercise.
- Scale throughput without increasing major incidents or introducing brittle workarounds.
- Improve incident response and recovery speed so the team could focus on product work again.
- Keep infrastructure spend stable during growth and avoid a runaway platform cost curve.
- Give the engineering team a more predictable release and support model.
Why the work started
The platform needed to scale event volumes by 7× without a hiring spike.
What we built
Platform engineering plus 24/7 SRE with progressive delivery and incident automation.
Legacy versus modern flow
A growing event-driven platform with insufficient guardrails, inconsistent incident procedures, and too much manual intervention during spikes.
A Kubernetes platform with progressive delivery, SLO-driven operations, and automated reliability workflows that scale with demand.
How the work was executed
Implemented progressive delivery and reliability guardrails around the Kubernetes platform.
Defined SLOs, error budgets, and ownership runbooks tied to alerting and release control.
Automated high-frequency operational interventions such as restarts, scaling actions, and common rollback paths.
Created on-call playbooks that reduced the friction of handing off incidents.
Controls and delivery rhythm
Reliability governance combined weekly SRE reviews with product engineering leadership alignment, ensuring the growth roadmap and platform risk stayed in the same conversation.
The platform sustained significant volume growth while maintaining reliability and cost control, and the engineering team could absorb more traffic without adding operational chaos.
Results and next steps
Zero incident regressions at 7× scale and flat infrastructure spend.
The roadmap includes deeper platform self-healing, improved developer productivity automation, and stronger cost attribution for teams.
Have similar architecture bottlenecks?
We can map the same modernization pattern to your infrastructure, release process, and operating model.