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Site reliability engineering

Make production reliability visible and manageable

We help teams define service ownership, tune alerts, build practical runbooks, improve incident response, and introduce SLO practice where it can be used responsibly.

Conservative retained reliability work backed by evidence, not generic uptime promises.

reliability-console
Alerts reviewed
14237% routed to owners
Services mapped
18critical paths documented
SLO candidates
9user-facing signals only
$ assistance sre assess --scope production
✓ service ownership map generated
✓ alert inventory scored for actionability
✓ incident roles and escalation paths drafted
→ reliability backlog ranked by risk and evidence
Ownership before paging
Dashboards tied to symptoms
Runbooks written for pressure
Reviews that produce tracked work

Reliability work you can inspect

Every engagement is framed around visible signals, explicit ownership, and evidence your team can keep using after handoff.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefWhen to use this serviceService scopePackagesPlan alignment

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.

This is not a generic uptime promise. We start from evidence, define a realistic operating boundary, and leave behind service maps, alert inventories, dashboards, runbooks, incident practices, and a reliability backlog your team can inspect.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

When to use this service

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Team situationWhy this service fits
Alerts are noisy or ignoredWe inventory alerts, remove low-signal pages, and link alerts to action
Incidents feel improvisedWe define severity, escalation, communication, responder roles, and review practices
Reliability risk is blocking growthWe assess failure modes, capacity, dependencies, launch readiness, and ownership gaps
Dashboards exist but do not guide decisionsWe connect observability to service ownership and user-facing symptoms
Leadership needs reliability evidenceWe create reports, backlogs, and operating metrics that support decisions
Enterprise customers are asking operational questionsWe provide credible runbooks, incident process, and evidence without inventing guarantees

Use Emergency Response when production is actively down or severely degraded. Use SRE as a Service when the recurring problem is reliability practice, signal quality, incident readiness, or ongoing production support.

Operating modelSection 02

Service scope

Responsibilities, response paths, and technical changes are made explicit before work starts.

Scope boundary

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

Scope boundary

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

Scope boundary

Incident operating model

  • severity matrix and escalation paths
  • communication templates for internal and external updates
  • responder roles, decision ownership, and handoff expectations
  • post-incident review format focused on learning and risk reduction
  • follow-up tracking so corrective work is not lost after recovery

Scope boundary

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
  • reporting cadence for teams and stakeholders

Scope boundary

Production support

  • recurring reliability backlog review
  • incident review facilitation and corrective-action tracking
  • launch or change-readiness review for high-risk releases
  • escalation support when explicitly included in the selected plan
  • coordination with DevOps, Kubernetes, cloud, security, and application owners
OutcomeSection 03

Packages

Expected changes are framed as practical operating improvements, not unsupported guarantees.

PackageBest forTypical deliverables
Reliability AssessmentTeams needing a clear view before investmentService map, alert review, risk backlog, executive summary
Observability ImplementationTeams with poor signals or dashboard sprawlDashboards, alert tuning, runbooks, review process
Incident ReadinessTeams preparing for launches or enterprise customersSeverity model, escalation, comms templates, tabletop exercise
Managed ReliabilityTeams needing ongoing SRE supportRecurring reviews, backlog coaching, incident review facilitation, optional escalation support
EvidenceSection 04

Plan alignment

Runbooks, dashboards, reviews, and handoff material make the work auditable.

PlanFitIncluded emphasis
XSEarly production teamsAssessment, basic alert review, runbook priorities
SGrowing teams with multiple servicesObservability implementation, incident model, reliability backlog
MHigher-risk production environments24/7 escalation options, senior reviews, SLO practice, resilience validation
CustomRegulated or high-availability systemsScoped SLA, formal evidence, multi-team operating model

View the full pricing comparison →

Operating modelSection 05

Onboarding flow

Responsibilities, response paths, and technical changes are made explicit before work starts.

  1. Fit and responsibility call — confirm services, business impact, team owners, support hours, incident expectations, and commercial plan fit.
  2. Access and evidence collection — review dashboards, alert rules, incident history, repositories, deploy paths, runbooks, architecture notes, and current escalation channels.
  3. Current-state assessment — map service ownership, known failure modes, noisy alerts, missing signals, and operational risks.
  4. Reliability operating plan — define scope, cadence, deliverables, severity model, backlog priorities, and boundaries before making tooling changes.
  5. Implementation and coaching — tune alerts, dashboards, runbooks, SLO candidates, incident templates, and review practices through visible work.
  6. Validation and handoff — test the operating model with a tabletop exercise, real incident review, controlled scenario, or launch-readiness review.
  7. Recurring service cadence — keep the reliability backlog, alert quality, incident follow-up, and operating evidence current.
Operating modelSection 06

Response and cadence expectations

The section clarifies how production responsibilities change once the service is in place.

ActivityTypical cadence
Reliability backlog reviewWeekly or monthly depending on plan
Alert and dashboard reviewMonthly, or after major incidents or launches
Incident review facilitationAfter significant incidents within scoped services
SLO or service health reviewMonthly or quarterly depending on signal maturity
Executive or stakeholder summaryMonthly for retained plans when included
24/7 escalationOnly when explicitly scoped to services, severity, access, and responsibilities

SRE work depends on access, ownership, and instrumentation quality. We avoid promising specific uptime numbers until the architecture, dependency surface, measurement windows, and operational control are understood.

OutcomeSection 07

Outcomes you can measure

The result is described as an operating change the team can observe, review, and sustain.

  • 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
  • launch and change risk reviewed before production impact
Operating modelSection 08

Proof we leave behind

Responsibilities, response paths, and technical changes are made explicit before work starts.

EvidenceWhat it proves
Service ownership mapWhich systems matter and who responds
Dependency and failure-mode mapWhich internal and external systems can affect reliability
Alert inventoryWhich alerts exist, why they fire, and what action they require
Dashboard setHow user-facing health and infrastructure signals connect
RunbooksWhat responders should do first under pressure
Incident templatesHow the team communicates and reviews incidents
Reliability backlogWhich fixes reduce the most risk first
SLO draftHow reliability can be measured without vanity metrics
Monthly review notesWhat changed, what remains risky, and what needs a decision
ScopeSection 09

Delivery model

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

Assessment step

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.

Operating step

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.

Operating step

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.

Operating step

4. Validation and handoff

We validate the model with a tabletop exercise, controlled test, launch-readiness review, or review of a real incident. Handoff includes what changed, how to maintain it, and what remains in the reliability backlog.

Operating modelSection 10

Common tickets and incidents

The section clarifies how production responsibilities change once the service is in place.

RequestTypical work
Alert fires but nobody knows what to doAdd owner, impact statement, dashboard link, first actions, and escalation path
Pager volume is too highClassify alerts, remove duplicates, change routing, and separate symptoms from diagnostics
Post-incident actions keep getting lostCreate review format, assign owners, set due dates, and add backlog review cadence
Leadership asks for uptime reportingReview measurement source, user-facing SLIs, exclusions, and reporting window before publishing
Launch risk is unclearRun readiness review covering capacity, rollback, observability, dependencies, and support coverage
Database or queue saturation repeatsConnect symptoms to dashboards, runbooks, scaling options, and longer-term reliability work
On-call handoff is inconsistentStandardize severity, escalation, comms templates, and responder checklist
Operating modelSection 11

Prerequisites

Responsibilities, response paths, and technical changes are made explicit before work starts.

  • named technical owner for each in-scope service
  • access to monitoring, logs, traces, alert routing, incident history, deployment process, and architecture context
  • product or business owner who can define user impact and service priority
  • responders available to review runbooks and participate in incident or tabletop exercises
  • agreement on which services are in scope and which remain outside the engagement
  • change process for alert rules, dashboards, escalation policies, repositories, and production configuration
OutcomeSection 12

Boundaries and out-of-scope work

Expected changes are framed as practical operating improvements, not unsupported guarantees.

SRE as a Service improves reliability practice and production operations within an agreed boundary. These usually require separate scope:

  • full platform rebuilds, migrations, or major application rewrites
  • unlimited incident response outside the selected plan and severity model
  • formal uptime guarantees before architecture and measurement review
  • legal, compliance, or forensic incident work unless explicitly included
  • taking permanent ownership of application code without application-team participation
  • replacing every observability tool when the existing stack can be improved responsibly
  • changes that require provider, vendor, or internal approvals we cannot obtain
EvidenceSection 13

Tooling and integrations

Runbooks, dashboards, reviews, and handoff material make the work auditable.

We work with your current observability stack first. Replacement is recommended only when it improves reliability, maintainability, or operating cost.

  • Prometheus — Metrics, alert rules, service-level indicators, and reliability reviews
  • Grafana — Dashboards that connect service health, incidents, and operational decisions

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.

Operating modelSection 14

What we do not claim

Responsibilities, response paths, and technical changes are made explicit before work starts.

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.

We also do not treat SLOs as decoration. If the telemetry is incomplete, ownership is unclear, or the service boundary is not understood, we will recommend simpler readiness work before using SLOs for decisions.

Next stepSection 15

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Next stepSection 16

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

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 →

Next stepSection 17

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

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. Active one-off outages can also start through Emergency Response.

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.

Do we need SLOs before starting? No. Many teams start with basic service maps, alerts, dashboards, and runbooks. SLOs come later when service boundaries, telemetry, and ownership are mature enough.

Will you replace our on-call team? Usually no. We improve the operating model and can provide escalation support when scoped, but application ownership and business-impact decisions still need your team.

Ready to get started?

Book a quote review or talk to an engineer.

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Hourly rate
100/hr

Minimum engagement: 40 hours (4.000 €/mo retainer)

Embedded SRE expertise for on-call design, incident response, and proactive hardening. Packaged hourly with a monthly minimum.

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Need a clearer path for SRE as a Service?

We'll help you understand fit, scope, pricing, and the fastest practical next step for your team.

No obligation • Senior engineer review • Recommendations grounded in your current stack