Product teams experiencing recurring incidents
Move from reactive firefighting to measurable service objectives, owned failure modes, and systematic improvement.
Service objectives, observability, incidents, capacity, resilience, recovery, and reliability improvement
Site reliability engineering
Rokad applies SRE practices to define reliability targets, improve observability, reduce operational toil, strengthen incident response, and engineer resilient production services.
Designed for / 01
A focused delivery model for the organisations that need it.
Reliability is a product and engineering decision, not only an operations task. Rokad helps teams define service objectives, measure user-impacting behaviour, manage error budgets, improve incident response, automate toil, plan capacity, test recovery, and prioritise reliability work.
Organisations scaling critical digital services
Prepare architecture, capacity, observability, on-call, recovery, and operational ownership for higher demand and impact.
Teams balancing feature speed and stability
Use error budgets and production evidence to make explicit release and reliability trade-offs.
Challenges / 02
The problems this service is built to solve.
Uptime metrics do not reflect user experience
The organisation cannot connect availability, latency, correctness, freshness, and dependency behaviour to real journeys.
Incidents repeat without structural learning
Response focuses on restoration but not failure analysis, contributing conditions, follow-through, ownership, or prevention.
Operational toil consumes engineering capacity
Manual checks, releases, access, scaling, remediation, and support interrupt product work and create human dependency.
Capabilities / 03
What Rokad can deliver.
01
Critical-user-journey, service-level indicator, objective, and error-budget design
02
Metrics, logs, traces, events, synthetics, real-user, and dependency observability
03
Alert quality, on-call, escalation, incident command, communication, and review
04
Capacity, load, performance, saturation, queue, and dependency analysis
05
Resilience, redundancy, graceful degradation, fault isolation, and chaos exercises
06
Backup, recovery, disaster scenarios, continuity, and recovery testing
07
Toil measurement, automation, reliability backlog, reporting, and embedded SRE support
Platform expertise
Platform-specific implementation services.
01
Datadog observability services
Rokad implements, rationalises, governs, and operates Datadog observability across infrastructure, applications, logs, user experience, service objectives, and incidents.
02
Grafana observability services
Rokad designs, implements, migrates, governs, and operates Grafana observability platforms across metrics, logs, traces, profiles, dashboards, alerts, and service objectives.
03
New Relic observability services
Rokad implements, rationalises, governs, and operates New Relic across applications, infrastructure, logs, browser, mobile, synthetics, service levels, and incidents.
Solution components / 04
The system behind the visible product.
Reliability model
User journeys, service boundaries, indicators, objectives, dependencies, error budgets, and ownership.
Production intelligence
Telemetry, dashboards, alerts, traces, logs, events, synthetics, service maps, and diagnostic context.
Incident system
On-call, severity, command, escalation, communication, restoration, review, actions, and learning.
Reliability engineering
Capacity, resilience, automation, recovery, dependency controls, release safety, and prioritised risk reduction.
Use cases / 05
Where this capability creates practical leverage.
SLO implementation
Define measurable reliability targets for critical journeys and connect error budgets to release and improvement decisions.
Incident-response transformation
Establish on-call, severity, communication, runbooks, command, post-incident review, and action tracking.
Observability redesign
Replace disconnected dashboards and noisy alerts with service-oriented telemetry and diagnostic workflows.
Resilience and recovery programme
Test capacity, dependency failure, backup, restore, regional loss, degraded modes, and disaster procedures.
Architecture and integration / 06
Designed to fit the wider technology environment.
User-centred indicators
Measure availability, latency, correctness, freshness, and durability at the point users depend on the service.
Failure-domain isolation
Limit propagation across tenants, regions, dependencies, queues, workloads, data, and operational changes.
Recovery as a tested capability
Define recovery objectives, automate where practical, rehearse regularly, measure outcomes, and close evidence gaps.
Quality and control / 07
Production requirements are part of the build.
Secure by design
Identity, permissions, secrets, data boundaries, dependencies, change controls, and recovery are addressed throughout delivery.
Observable operation
Metrics, logs, traces, quality, cost, failures, and service outcomes are made visible and actionable.
Reproducible delivery
Configuration, tests, infrastructure, pipelines, artefacts, changes, and recovery procedures are versioned and repeatable.
Delivery / 08
A controlled path from requirement to operation.
Discover
Clarify the objective, users, systems, constraints, dependencies, risks, and measurable acceptance criteria.
Architect
Define the target design, interfaces, controls, migration or delivery sequence, and operating model.
Deliver and validate
Implement in controlled increments with testing, review, documentation, observability, and stakeholder validation.
Operate and improve
Establish ownership, service controls, measurement, support, and a prioritised improvement backlog.
Typical deliverables
Reliability, incident, observability, capacity, and recovery assessment
Critical journeys, service map, SLIs, SLOs, and error-budget policy
Telemetry, dashboards, alerts, synthetics, traces, and diagnostic improvements
On-call, incident command, communication, review, and action workflows
Capacity, resilience, backup, recovery, and failure-exercise programme
Reliability backlog, runbooks, reporting, ownership, and handover documentation
Engagement models / 09
Use the delivery structure that matches the work.
Assessment and roadmap
A bounded evidence review, target direction, prioritised risks, and executable next-stage plan.
Fixed-scope delivery
A defined implementation, migration, prototype, procurement, or transformation outcome with acceptance criteria.
Embedded specialists
Specialists working alongside internal product, engineering, data, operations, security, or procurement teams.
Managed lifecycle
Ongoing ownership, maintenance, monitoring, supplier coordination, reliability, security, and improvement.
Related capabilities / 10
Continue through the wider product and technology system.
01
Platform engineering
Provide reliable golden paths, telemetry, ownership, and self-service controls.
02
CI/CD engineering
Improve deployment safety, validation, progressive delivery, and rollback.
03
Kubernetes services
Strengthen workload, cluster, capacity, upgrade, and recovery reliability.
01
Managed technology services
Application, cloud, security, reliability, maintenance, and continuous engineering operations.
02
Software development
Custom applications, platforms, integrations, APIs, and software modernisation.
03
Data engineering
Data pipelines, platforms, warehouses, analytics engineering, BI, and governance.
FAQ
Site reliability engineering
Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.
01What is an SLO?
What is an SLO?
A service-level objective is a target for a measured aspect of user-relevant service behaviour, such as successful requests, latency, correctness, freshness, or durability over a defined period.
02Does SRE require a separate team?
Does SRE require a separate team?
No. Practices can be embedded within product and platform teams, supported by a central group, or delivered through a dedicated team depending on scale and service criticality.
03Can Rokad provide on-call support?
Can Rokad provide on-call support?
Managed coverage can be defined by service criticality, hours, response targets, escalation, access, runbooks, dependencies, and commercial structure.
04How do you reduce alert fatigue?
How do you reduce alert fatigue?
We connect alerts to user impact and required action, remove duplicate or unactionable signals, improve grouping and context, tune thresholds, and review alert outcomes.
Cloud and DevOps
Turn production reliability into a measurable engineering capability.
Rokad can define service objectives, improve observability and incidents, reduce toil, and build a prioritised reliability programme.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.