Product teams with slow or inconsistent user journeys
Improve page, interaction, API, search, transaction, report, and background-work performance using measured evidence.
Application, frontend, API, database, infrastructure, network, capacity, and cost performance
Performance optimisation services
Rokad diagnoses and improves software performance using production evidence across frontend, application, APIs, databases, infrastructure, networks, and workload behaviour.
Designed for / 01
A focused delivery model for the organisations that need it.
Performance problems usually cross several layers. Rokad establishes representative workloads and baselines, traces critical journeys, identifies constraints, tests hypotheses, implements improvements, validates user and system impact, and establishes performance budgets and monitoring.
Organisations approaching capacity constraints
Understand throughput, saturation, queues, concurrency, database, dependency, and infrastructure limits before demand events.
Companies spending more without getting faster
Reduce inefficient compute, database, storage, network, caching, and architecture patterns rather than scaling blindly.
Challenges / 02
The problems this service is built to solve.
Teams optimise what is easy to measure
Local benchmarks improve while end-to-end user latency, correctness, throughput, or cost remains unchanged.
Production load differs from test environments
Data volume, concurrency, cache state, network, third parties, jobs, and real behaviour are not represented.
Performance regressions return after fixes
Budgets, tests, telemetry, ownership, capacity models, and release gates are not established.
Capabilities / 03
What Rokad can deliver.
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User-journey, workload, latency, throughput, error, cost, and capacity baselines
02
Browser, rendering, JavaScript, assets, images, fonts, network, and third-party analysis
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API, service, runtime, concurrency, queue, cache, job, and dependency profiling
04
Database query, index, schema, lock, connection, storage, and workload optimisation
05
Infrastructure, container, autoscaling, network, CDN, region, and resource tuning
06
Load, stress, soak, spike, endurance, failure, and capacity testing
07
Performance budgets, regression tests, monitoring, dashboards, and operating guidance
Solution components / 04
The system behind the visible product.
Representative baseline
Critical journeys, datasets, traffic, concurrency, environment, cache state, dependencies, latency, throughput, and cost.
Constraint analysis
Profiles, traces, queries, waits, queues, saturation, errors, resources, dependencies, and causal hypotheses.
Targeted remediation
Code, query, index, cache, batching, async, asset, protocol, architecture, capacity, and configuration improvements.
Regression control
Budgets, tests, dashboards, alerts, ownership, release comparisons, capacity planning, and periodic review.
Use cases / 05
Where this capability creates practical leverage.
Slow web or mobile backend
Trace user journeys across client, network, API, services, database, cache, and external dependencies.
Database bottleneck
Improve queries, indexes, schema, transactions, locks, connections, partitions, data volume, and workload design.
Peak-demand readiness
Test capacity, autoscaling, queues, payments, inventory, sessions, rate limits, dependencies, and incident procedures.
Cloud cost-performance optimisation
Match workloads, resources, scheduling, storage, traffic, caching, architecture, and commitments to service outcomes.
Architecture and integration / 06
Designed to fit the wider technology environment.
Measure end to end
Optimise from user action to completed outcome rather than treating individual component speed as the objective.
Queue and concurrency awareness
Model arrival rate, service time, contention, backpressure, retries, timeouts, pools, and saturation under realistic load.
Budgets at design boundaries
Allocate latency, payload, query, resource, dependency, and cost budgets across the path and enforce them continuously.
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
Performance objective, workload, telemetry, and baseline assessment
End-to-end traces, profiles, query, capacity, and constraint analysis
Prioritised remediation plan with expected impact and risk
Application, database, frontend, infrastructure, and configuration improvements
Load, stress, regression, capacity, and validation results
Performance budgets, dashboards, alerts, runbooks, and operating guidance
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.
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Application maintenance
Maintain performance controls and improvements through regular releases.
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Managed DevOps
Operate capacity, infrastructure, databases, telemetry, and cost after optimisation.
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Software rescue
Stabilise severe performance and reliability failures under urgent conditions.
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Cloud and DevOps
Cloud architecture, platforms, CI/CD, Kubernetes, security, reliability, and migration.
02
Software development
Custom applications, platforms, integrations, APIs, and software modernisation.
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Web development
Web applications, websites, frontend systems, CMS, performance, and modernisation.
FAQ
Performance optimisation services
Scope, ownership, assumptions, delivery, security, and long-term operation are clarified before work begins.
01Can performance be improved without rewriting the application?
Can performance be improved without rewriting the application?
Often yes. High-impact changes may involve queries, indexes, caching, payloads, assets, batching, concurrency, configuration, resources, queues, or a small number of critical paths.
02Do you perform load testing?
Do you perform load testing?
Yes. We define representative scenarios, data, arrival patterns, concurrency, dependencies, objectives, monitoring, safe limits, and result interpretation before testing.
03Can Rokad optimise frontend performance?
Can Rokad optimise frontend performance?
Yes. We analyse rendering, JavaScript, data, assets, images, fonts, caching, third parties, interactions, devices, networks, and real-user measurements.
04How do you prevent regressions?
How do you prevent regressions?
We establish budgets, automated tests where practical, production telemetry, release comparisons, dashboards, alerts, ownership, and periodic capacity review.
Managed technology services
Find the actual constraint before adding more infrastructure or rewriting the system.
Rokad can establish the baseline, trace the path, implement targeted improvements, and build lasting performance controls.
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.