Reliability that
isn't a liability.
SLOs that drive real decisions, observability that answers questions before you ask them, and incident response that fires itself. We don't just monitor — we embed SRE culture into your team.
Full-stack reliability engineering.
SLO & Error Budget Design
User-journey SLIs and SLOs that actually drive engineering decisions, error budgets that enforce the tradeoff between reliability and velocity.
- User-journey SLI discovery workshops
- SLO target setting based on business impact
- Error budget policy and burn-rate alerting
- Reliability reviews and roadmap integration
Observability Stack
End-to-end observability that answers "why is it slow?" in minutes, not hours. Metrics, logs, traces, and profiles, all correlated.
- Prometheus, Grafana, Loki, Tempo, Mimir
- Datadog, New Relic, Honeycomb, Chronosphere
- OpenTelemetry instrumentation and pipelines
- Golden-signal dashboards per service
Incident Response & Runbooks
Every incident has a runbook before it happens. Automated diagnostics, clean escalation paths, and blameless postmortems that actually change things.
- PagerDuty, Opsgenie, and Incident.io setup
- Runbooks for the top 20 incident classes
- Blameless postmortem templates and training
- Incident commander rotation and tabletop exercises
Chaos Engineering
Break things on purpose, in production, with confidence. Find failure modes before your users do.
- GameDay design and facilitation
- Chaos tooling (Litmus, Chaos Mesh, Gremlin)
- Dependency failure injection
- Blast-radius controls and rollback plans
On-Call Program Design
Sustainable on-call rotations that don't burn out your best engineers. Fair, transparent, and measurable.
- Rotation structure and compensation frameworks
- Alert hygiene and noise reduction
- On-call quality metrics (pages per shift, sleep impact)
- Follow-the-sun coverage design
Capacity & Load Testing
Know how your system breaks before your biggest launch does. Load testing, capacity planning, and headroom modeling.
- k6, Locust, Gatling, JMeter load test design
- Capacity models per service and dependency
- Scale testing for peak events (Black Friday, sales)
- Continuous performance benchmarks in CI
Common questions.
What's the difference between SRE and DevOps?
DevOps focuses on delivery velocity — shipping code faster and more reliably. SRE focuses on production reliability — keeping what you shipped running. In practice they overlap heavily, and we often deliver both together.
Do we need SLOs if we already have uptime monitoring?
Uptime monitoring tells you the server is responding. SLOs tell you the user is having a good experience. A 200 OK with 8-second latency is "up" but broken from the user's perspective. SLOs capture that distinction.
Can you help us reduce alert noise without losing coverage?
Absolutely. We audit your alert rules, eliminate symptom-based duplicates, and replace threshold alerts with burn-rate SLO alerts. Teams typically go from hundreds of alerts to under 20 high-signal ones.
Tired of 3 AM pages?
Book a free 30-minute reliability review. We'll look at your SLOs, your observability, and your on-call and tell you honestly where the risk is.
Book a CallSee also: DevOps Engineering · Cloud Consulting & FinOps
From the blog: The Alert Fatigue Trap · K8s 1.33 In-Place Pod Resize · 3 K8s Migration Mistakes