Site reliability engineering consulting

Turn production reliability into an engineering practice

Define service-level objectives, improve telemetry and use reliability data in release decisions. This work suits product teams dealing with repeated incidents, noisy alerts or unclear production ownership.

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Reliability baseline

Map critical user journeys, dependencies, incident patterns, current telemetry and recurring operational work.

SLO implementation

Define service-level indicators and objectives from measured behaviour, then connect the error budget to an operating decision.

Observability and alerts

Instrument user-visible signals, remove noisy alerts and document response paths around the selected service.

Incident learning and toil

Improve runbooks and post-incident actions, then automate repeated work that blocks product delivery.

Coverage boundary

This is consulting and implementation support, not an advertised 24/7 managed operations service. Any production response window, access model and escalation duty is defined in the engagement.

Reliability becomes actionable when it describes a user journey

Infrastructure dashboards can be green while customers cannot complete a critical action. SRE work begins by choosing a service or user journey, defining what successful behaviour looks like and identifying the few signals that show whether it is available, correct and fast enough. The objective is not to create the largest possible monitoring estate.

Service-level indicators and objectives are useful only when they change a decision. The team needs to know how the measure is calculated, what data is excluded, who reviews it and what happens when the error budget is being consumed too quickly. That may trigger reliability work, slower release cadence or closer investigation, but the policy must match the business impact.

Incidents and operational work provide the second evidence source. Alert noise, repeated manual recovery, unclear ownership and incomplete runbooks are mapped against the selected journey. The initial engagement usually focuses on one service so instrumentation, response and release decisions can be proven before the model expands.

Outcomes the engagement is designed to produce

Useful SLOs

Define indicators and objectives from user-visible behaviour, available telemetry and business tolerance, with a clear calculation and owner.

Alerts that prompt action

Remove or redesign noisy signals and connect important alerts to impact, thresholds, ownership and a response path.

Better release decisions

Use reliability trend and error-budget evidence alongside product priority instead of treating every release as equally safe.

Less operational toil

Identify repeated manual work from incidents and support, then prioritise automation or product fixes that prevent recurrence.

How the work runs

Phase 1

Select

Choose a critical journey or service and agree the reliability question, stakeholders and evidence available.

Phase 2

Baseline

Map dependencies, telemetry, incidents, alerts, runbooks and recurring work. Record gaps and data limitations.

Phase 3

Implement

Create the selected indicators, dashboard, alerts, response documentation and operating policy with the owning team.

Phase 4

Exercise

Review real or simulated failure, validate the signals and decisions, then sequence the next reliability improvements.

Concrete deliverables

The exact list is agreed before access begins. A typical engagement produces:

Critical user-journey and dependency map for the selected service.
Reliability baseline from telemetry, incidents, alerts and operational work.
Documented SLI and SLO definitions with calculation and data limitations.
Dashboard and actionable alert changes for the agreed signals.
Error-budget, incident response and release decision guidance.
Prioritised toil, observability and resilience improvement backlog.

Good fit

Incidents recur but the organisation cannot connect them to a reliability trend.
Alerts are noisy, ownership is unclear or recovery depends on a few people.
A team wants to introduce SLOs for one real service before scaling the practice.
Product and engineering leaders need evidence for reliability versus feature decisions.

Not the right fit

The requirement is only a monitoring-tool installation with no service owner or user journey.
A universal 99.99% objective has already been mandated without cost or business analysis.
The business needs a staffed 24/7 network or operations centre.
Incident information and the engineers responsible for the service are unavailable.

Frequently asked questions

Do we need perfect monitoring before defining an SLO?

No. Start with the best user-visible signal available, document its limits and improve instrumentation where the uncertainty affects decisions. Waiting for perfect telemetry usually delays useful learning.

What should happen when an error budget is exhausted?

The response is agreed with product and engineering. It may increase review, pause selected risk, prioritise reliability work or narrow release scope. An error budget is an input to a decision, not an automatic punishment.

Can this include incident review and runbooks?

Yes. Recent incidents, response paths, alert behaviour and recurring manual actions are part of the baseline. Runbook and post-incident improvements can be implemented in the same scope.

Is this an outsourced on-call service?

No. It is SRE assessment and implementation support. Any production response involvement, access and service hours are explicitly agreed; 24/7 managed operations are not advertised.