Proactive Reliability, Not Firefighting. SRE Done Right.
We define SLOs, build error budgets, implement incident management, and embed SRE practices into your engineering culture - so your team ships confidently and sleeps soundly.
For engineering teams experiencing frequent incidents, lacking SLOs, or wanting to adopt SRE without hiring a full SRE team.
The Problem We Solve
⚠ Your team is in reactive mode - every week brings a new fire drill that derails sprint work.
⚠ There are no SLOs - nobody can define what "reliable enough" means for your product.
⚠ Post-mortems happen but the same incidents keep recurring because action items never get prioritised.
⚠ Deployments are a reliability risk - the team slows releases because they are afraid of breaking production.
⚠ On-call is burning out your best engineers because alerts are noisy and runbooks do not exist.
⚠ Your on-call engineers spend 60% of their time on toil - manual, repetitive work that should be automated.
⚠ You have no way to measure reliability objectively - "it feels like it was down" is the best you can do.
What's Included
✓ SLO definition with Nobl9 or Sloth - SLI/SLO/error budget dashboards integrated into Grafana
✓ Chaos engineering - Gremlin, LitmusChaos, or Chaos Mesh for controlled failure injection in staging and production
✓ Incident management tooling - incident.io, Rootly, or FireHydrant for structured incident response with Slack/Teams integration
✓ Automated incident detection - anomaly detection on SLO metrics, auto-page the right team, auto-create incident channel
✓ Game days - facilitated chaos engineering exercises that simulate real failures and test your team's response
✓ Toil reduction - identify and automate repetitive operational tasks that consume engineering time
✓ Production readiness reviews - checklist-driven review before any new service goes to production
✓ Platform engineering overlap - build reliability into the platform so individual teams don't need to be SRE experts
✓ Error budget policy: when to ship features vs when to focus on reliability work
✓ Post-mortem process: blameless, structured, with tracked action items
✓ On-call optimisation: alert tuning, rotation design, escalation policies
✓ Capacity planning: forecast growth, plan infrastructure scaling ahead of demand
Engagement Process
01
Reliability Assessment
Audit your current reliability posture: incidents, response times, monitoring, deployment confidence.
02
SLO Workshop
Work with your product and engineering teams to define SLOs, error budgets, and alerting strategy.
03
Implement
Build SLO dashboards, incident management tooling, on-call rotations, and reliability automation.
04
Embed & Coach
Train your team on SRE practices. Run first post-mortems together. Optional embedded SRE support.
Technology Stack
PrometheusGrafanaPagerDutyOpsgenieDatadogGremlinLitmusChaosChaos MeshStatuspageincident.ioRootlyFireHydrantBlamelessNobl9ReliablyBackstageJira
Frequently Asked Questions
Do we need a full SRE team?
Not necessarily. Many teams benefit from SRE practices without dedicated SRE hires. We embed the practices into your existing engineering workflow.
What are SLOs and why do they matter?
Service Level Objectives define "reliable enough" in measurable terms. They give you a data-driven way to balance feature velocity with reliability work.
How do you reduce alert fatigue?
SLO-based alerting on user-facing impact, not infrastructure symptoms. Severity levels, deduplication, and actionable runbooks for every alert.
Can you do chaos engineering safely?
Yes. We start with controlled experiments in staging, define blast radius limits, and only move to production chaos when safety mechanisms are proven.
How long before we see results?
SLO definition and initial dashboards: 2-3 weeks. Measurable incident reduction: 4-8 weeks. Cultural shift: 2-3 months of embedding.
Ready to talk site reliability engineering?
Book a free 30-minute architecture review. We'll assess your setup and give you an honest recommendation.