SRE as a Service
Reliability engineering for teams that need clearer signals, calmer incidents, and measurable operating improvements
SRE as a Service is for production teams that are tired of unreliable signals, unclear ownership, and incident response that depends on whoever happens to be online. We improve the operating system around production: what is monitored, who responds, how incidents are handled, and which reliability investments matter first.
Who it is for#
| Team situation | Why this service fits |
|---|---|
| Alerts are noisy or ignored | We inventory alerts, remove low-signal pages, and link alerts to action |
| Incidents feel improvised | We define severity, escalation, communication, and review practices |
| Reliability risk is blocking growth | We assess failure modes, capacity, dependencies, and launch readiness |
| Dashboards exist but do not guide decisions | We connect observability to service ownership and user-facing symptoms |
| Leadership needs reliability evidence | We create reports, backlogs, and operating metrics that support decisions |
What is included#
Reliability assessment#
- critical service and dependency mapping
- review of incidents, alerts, dashboards, deploy process, and known risks
- failure-mode and ownership gap analysis
- prioritized reliability backlog with validation steps
- executive-readable summary for technical and non-technical stakeholders
Observability and alert quality#
- metrics, logs, traces, dashboards, and alert rule review
- signal-to-noise reduction and routing improvements
- service dashboard design around user-facing health
- alert annotations with owners, dashboards, logs, and runbooks
- review cadence for alert quality and operational drift
Incident operating model#
- severity matrix and escalation paths
- communication templates for internal and external updates
- responder roles and decision ownership
- post-incident review format focused on learning and risk reduction
- follow-up tracking so corrective work is not lost after recovery
SLO practice#
- candidate SLIs grounded in user experience
- SLO drafts with measurement windows and exclusions where appropriate
- error budget review process
- guidance on when SLOs are not mature enough to use yet
Packages#
| Package | Best for | Typical deliverables |
|---|---|---|
| Reliability Assessment | Teams needing a clear view before investment | Service map, alert review, risk backlog, executive summary |
| Observability Implementation | Teams with poor signals or dashboard sprawl | Dashboards, alert tuning, runbooks, review process |
| Incident Readiness | Teams preparing for launches or enterprise customers | Severity model, escalation, comms templates, tabletop exercise |
| Managed Reliability | Teams needing ongoing SRE support | Recurring reviews, backlog coaching, incident review facilitation, optional escalation support |
Plan alignment#
| Plan | Fit | Included emphasis |
|---|---|---|
| XS | Early production teams | Assessment, basic alert review, runbook priorities |
| S | Growing teams with multiple services | Observability implementation, incident model, reliability backlog |
| M | Higher-risk production environments | 24/7 escalation options, senior reviews, SLO practice, resilience validation |
| Custom | Regulated or high-availability systems | Scoped SLA, formal evidence, multi-team operating model |
Outcomes you can measure#
- fewer unactionable pages
- alerts routed to the right owners with useful context
- incident roles and stakeholder updates defined before the next incident
- dashboards that explain service health instead of only infrastructure symptoms
- reliability backlog ranked by risk, effort, and validation method
- post-incident follow-up tracked to completion
- SLO candidates reviewed by engineers and stakeholders together
Proof we leave behind#
| Evidence | What it proves |
|---|---|
| Service ownership map | Which systems matter and who responds |
| Alert inventory | Which alerts exist, why they fire, and what action they require |
| Runbooks | What responders should do first under pressure |
| Incident templates | How the team communicates and reviews incidents |
| Reliability backlog | Which fixes reduce the most risk first |
| SLO draft | How reliability can be measured without vanity metrics |
Delivery model#
1. Reliability discovery#
We collect service context, dashboards, alert rules, incident history, deployment process, infrastructure topology, and known risks. The output separates urgent operating gaps from longer-term reliability investments.
2. Operating model design#
We define service ownership, severity levels, escalation, communications, post-incident review, and the acceptance criteria for alert changes before changing tooling.
3. Observability and runbook implementation#
We tune dashboards, alert rules, logging views, tracing entry points, runbooks, and handoff material using your existing stack where possible.
4. Validation and handoff#
We validate the model with a tabletop exercise, controlled test, or review of a real incident. Handoff includes what changed, how to maintain it, and what remains in the reliability backlog.
Tooling and integrations#
We work with your current observability stack first. Replacement is recommended only when it improves reliability, maintainability, or operating cost.
Common integrations include Grafana, Prometheus, Loki, ELK/OpenSearch, Datadog, New Relic, CloudWatch, Jaeger, OpenTelemetry, PagerDuty, Opsgenie, Slack, GitHub Actions, GitLab CI, Kubernetes, Terraform, and managed cloud services.
What we do not claim#
We do not promise universal uptime numbers without reviewing architecture, dependencies, deployment process, traffic, third-party services, operational control, and measurement windows. If a formal SLA is needed, we scope it separately around explicit systems and responsibilities.
Related services#
- DevOps as a Service — delivery automation and release systems
- Managed Kubernetes — Kubernetes platform operations
- Infrastructure Audit — broad infrastructure risk review
- Cloud Account Management — cloud governance and operations
Getting started#
Start with a reliability assessment. We will review monitoring, incident flow, production risks, and service ownership, then return a scoped plan for what to fix first.
Request reliability assessment →Frequently asked questions#
What is the difference between SRE and traditional operations? SRE applies engineering discipline to reliability work. In practice, that means measurable service health, clear ownership, usable runbooks, incident review, and automation that reduces repeated toil.
Can you work with our existing monitoring tools? Yes. We start with the tools you already use and improve signal quality before recommending replacements.
Do you provide 24/7 incident response? We can provide on-call or escalation support when it is explicitly scoped to agreed services, severity definitions, access, and responsibilities.
Can you guarantee 99.9% uptime? Not without a formal review and scoped SLA. We avoid generic uptime guarantees because measured availability depends on architecture, dependencies, deployment practice, and operational control.