Signals arrive without context.
Connect infrastructure alerts to the customer journey and the service owner.
Practice 05 / Platform Operations
Keep the service running.
Keep the service running.
Keep getting better.
Make critical services easier to run, recover and improve. Connect reliability engineering, observability and platform ownership to the business.
From the operating model to the working system.Strategy and architecture, embedded delivery, capability transfer.
See the service, not just the servers.
Connect application, infrastructure, data and AI signals to the experience that matters.
Observability · Service objectives · Cost visibilityTurn a signal into a clear next step.
Bring context, ownership and rehearsed recovery into the incident response.
SRE · Runbooks · Recovery engineeringMake every cycle leave a stronger system.
Use operational evidence to improve releases, reliability and cost per outcome.
CloudOps · DataOps · MLOps · AgentOps01 / The opportunity
When keeping the lights on holds you back.
Recovery depends on a few people.
Make incident response, escalation and recovery knowledge part of the platform.
Operations crowds out progress.
Use automation and a prioritised improvement backlog to reduce repetitive work.
Operations / service confidence
A dependable service is an engineering outcome.
Make ownership visible. Practise recovery. Improve the system from what you learn.
02 / In practice
A service is more than its infrastructure.
Illustrative operating pattern / Critical serviceFrom a signal
From a signal
to a clear response.
Follow the service through its dependencies. Give the team a useful diagnosis and a deliberate recovery path.
Discuss your operating model- DetectCustomer experience degrades.
Service objectives and correlated telemetry reveal what is affected.
- CoordinateAn accountable owner responds.
Use the runbook, inspect dependencies and escalate when needed.
- Recover & learnRestore the service. Close the loop.
Verify recovery and turn the incident review into engineering improvements.
03 / The engineering
Reliability belongs in the whole system.
Set the service expectations.
Service objectives, dependency ownership, recovery priorities and on-call responsibilities.
Make the response repeatable.
Observability, infrastructure automation, delivery controls and operational tooling.
Invest in what changes the outcome.
Incident learning, capacity and cost reviews, and a deliberate reliability backlog.
Explore AWS reference architectures
REVOLEAP / PLATFORM OPERATIONS
Reference design / 05Inside the architecture.
01 / OBSERVEAWS reference design
WORKLOADSAWS servicesApplication + infrastructure signals
TELEMETRYAmazon CloudWatchLogs + metrics
Evaluate the service signal
AMAZON CLOUDWATCHService alarmsEvaluate configured metrics against thresholds.
Notify configured response channels
AMAZON SNS / RESPONSE TEAMAn alert with an accountable owner
Route notifications to the right team. Document severity, context and the next diagnostic step.
Service objectivesAlert ownershipRunbook links
02 / RESPONDAWS reference design
SIGNALOperational eventA defined condition to investigate
ROUTINGAmazon EventBridgeMatch a configured event rule
Invoke the selected runbook
AWS SYSTEMS MANAGERAutomation runbookExecute a scoped sequence of operational steps.
Require approval for designated steps
RESPONSE RECORDControlled action, visible execution
Use approval steps where needed. Bound permissions and verify service health after remediation.
Scoped permissionsApproval stepsExecution records
03 / IMPROVEAWS reference design
EVIDENCEIncident reviewTimeline + contributing factors
SERVICE DATACloudWatch metricsRecurrence + service impact
Review the service with its owners
OPERATING MODELReliability reviewTurn evidence into prioritised engineering work.
Agree actions and acceptance criteria
IMPROVEMENT BACKLOGLess repeat work. Stronger systems.
Track corrective actions, test recovery procedures and review whether the changes improve the service.
Named ownersRecovery exercisesAction tracking
Illustrative architecture. Configured for each workload.AWS / OP
CloudOps / DataOps / MLOps / AgentOps
Different services. One operating discipline.
Cloud & applications
Trace customer journeys through infrastructure and dependencies. Connect SLOs, deployment controls, recovery and cost ownership.
Data products
Monitor freshness, quality and pipeline health. Define replay, lineage, change approval and the response when a data contract fails.
Models & agents
Watch evaluation results, model versions, permitted actions and task economics. Keep traces, escalation and rollback part of operation.
Support hours, on-call responsibilities and service levels are agreed for each engagement.
What success looks likeAgree the outcome.
Agree the outcome.
Engineer the evidence.
The measures depend on your starting point. We define them with you before delivery begins.
Meaningful reliability
Service objectives tied to customer journeys, with explicit response and recovery responsibilities.
Less recurring friction
Actionable alerts, repeatable runbooks and an improvement backlog informed by incidents.
Operational confidence
Recovery rehearsals, capacity reviews and visible costs across applications, data and AI.
04 / How we engage
A clear route from decision to delivery.
Read the operating reality.
Review critical services, operational signals and the decisions teams make under pressure.
An operating maturity and priority brief.
Engineer the dependable path.
Build observability, response automation and recovery practices with your team.
Working controls. Tested runbooks.
Keep improving the service.
Establish a reliability cadence and transfer the capability to operate the estate.
Clear ownership and an improvement backlog.
Where to startLet’s start with the layer
Let’s start with the layer
that’s holding you up.
A Leap Assessment brings your leadership team and our partners together to examine the opportunity and shape a useful next step.