SRE Services — Reliability Engineering, SLOs, Observability & Incident Response

Problem Statement

Most organizations manage reliability reactively — alerts wake people up, incidents get resolved through heroics, and the same failures recur because root causes are never addressed. There is no shared language of reliability between engineering and business. Site Reliability Engineering solves this by defining Service Level Objectives (SLOs), error budgets, and automated incident response — turning reliability from an opinion into an engineering discipline.

Business Outcomes

• Service availability: 99.5% → 99.95%+ with defined SLOs
• Mean time to detect (MTTD): 20+ minutes → under 2 minutes
• Mean time to resolve (MTTR): 4+ hours → under 15 minutes
• Alert fatigue reduction: 80%+ noise reduction through intelligent alerting
• On-call burnout: Measurably reduced through sustainable rotation design and automated runbooks

What We Do — SRE Consulting

We implement SRE as an engineering practice — not a renamed operations team. Every engagement includes SLO/SLI definition, error budget policy, observability architecture, incident response automation, and chaos engineering — all delivered by practitioners who have managed production systems at 99.99%+ availability.

Consulting Services

• Reliability Maturity Assessment: Evaluate your current reliability posture across SLO maturity, observability coverage, incident management capability, and chaos engineering readiness. Output: scored assessment with prioritized reliability backlog.
• SLO/SLI Definition Workshop: Facilitated workshop with your engineering and product leaders to define service-level indicators and objectives that matter to your users — not vanity metrics.
• Error Budget Policy Design: Define how your organization uses error budgets to balance reliability and feature velocity. Concrete policies that teams can action.

Implementation Services

• Observability Stack Design & Implementation: Prometheus, Grafana, Loki, Tempo, OpenTelemetry. Metrics, logs, and traces unified in a single pane of glass. Dashboards that answer questions before they’re asked.
• Incident Response Automation: Automated incident detection, notification routing, runbook execution, and post-incident review generation. PagerDuty, Opsgenie, or custom webhook-based solutions.
• Chaos Engineering Program: Design and execute chaos experiments with defined blast radius, observability validation, and rollback safety. Gremlin, Chaos Mesh, or LitmusChaos.
• Capacity Planning & Auto-Scaling: Predictive capacity models. Horizontal and vertical auto-scaling policies. Cost-aware scaling that balances reliability and FinOps.

Support & Outsourcing

• SRE-as-a-Service: Embedded SRE engineers operating within your team. On-call rotation participation. Incident command. Post-incident review facilitation.
• Managed Reliability Operations: We monitor your production systems 24×7 against defined SLOs. Incident response with defined escalation paths. Monthly reliability reports.

Tools & Ecosystem

Observability: Prometheus, Grafana, Loki, Tempo, OpenTelemetry, Datadog, New Relic Incident Management: PagerDuty, Opsgenie, incident.io, FireHydrant Chaos Engineering: Gremlin, Chaos Mesh, LitmusChaos, AWS Fault Injection Simulator SLO Tooling: Sloth, Pyrra, Nobl9, Google Cloud SLO monitoring Runbook Automation: Rundeck, Ansible Automation Platform, custom Python/Go runbooks

Operating Model

Our SRE engagements follow Google’s SRE principles adapted for your organization’s scale:

1. Define: SLOs and SLIs that matter to your users
2. Measure: Instrumentation and observability to track every SLO
3. Budget: Error budgets that balance reliability with feature velocity
4. Automate: Toil elimination through runbook automation and self-healing
5. Learn: Blameless post-incident reviews that produce actionable improvements

Security & Governance

• SLO-based alerting: only page when user-facing reliability is at risk
• Incident response playbooks with defined roles (Incident Commander, Communications Lead, Operations Lead)
• Access controls on observability data (PII/PCI scoping)
• Compliance evidence: automated availability reports for SOC 2, ISO 27001

Typical Deliverables

• Reliability maturity scorecard
• Service Level Objectives and Indicators document (per service)
• Error budget policy document
• Observability architecture blueprint
• Operational dashboards (Grafana) configured and deployed
• Incident response playbooks (automated where possible)
• Chaos engineering experiment catalog with results
• Post-incident review templates and facilitation guide
• Knowledge transfer workshop for engineering and on-call teams

Who Should Use This Service

• CTOs / VPs of Engineering experiencing customer-impacting incidents and seeking structured reliability
• SRE Managers / Directors building or scaling an SRE function
• Heads of Infrastructure transitioning from traditional ops to SRE
• Engineering Leaders who want to reduce on-call burnout and improve incident response
• Startups that have achieved product-market fit and now need production reliability

Frequently Asked Questions

What’s the difference between DevOps and SRE? DevOps focuses on the entire delivery lifecycle (plan → code → build → test → release → deploy). SRE focuses specifically on operating production services reliably — using software engineering to solve operations problems. They are complementary. Most of our clients engage us for both.

How do error budgets actually work in practice? An error budget is 100% minus your SLO. If your SLO is 99.9% availability, your error budget is 0.1% downtime per month (~43 minutes). As long as you haven’t exhausted the budget, teams can push features. If the budget is exhausted, all feature work freezes until reliability is restored. This creates a healthy tension between feature velocity and reliability — driven by data, not opinions.

Do we need to be on Kubernetes to do SRE? No. SRE principles apply to any production system — VMs, containers, serverless, mainframes. We adapt the tooling and practices to your infrastructure, not the other way around.