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Maintenance & Scaling

SLA-backed support, performance optimisation, and scaling engineering from the team that already knows your codebase.

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99.95%
average uptime delivered
<15 min
P1 acknowledgement
60%
average perf improvement
3+ yr
average retainer length

What we deliver

01

24/7 monitoring & incident response

Datadog or custom observability stacks with on-call rotations. P1 incidents acknowledged in under 15 minutes, resolved or mitigated within one hour.

02

Performance optimisation

Database query analysis, caching layer design, CDN configuration, bundle size reduction, and Core Web Vitals improvement.

03

Security maintenance

Monthly dependency audits, CVE patching, penetration test remediation, and continuous compliance monitoring for SOC2 requirements.

04

Feature development

Ongoing sprint-based feature work under a retainer model. The same engineers who built the system continue to extend it.

05

Scaling architecture

Database read replicas, horizontal scaling of stateless services, queue-based load levelling, and multi-region deployments as traffic grows.

06

Technical debt reduction

Structured refactoring plans, test coverage improvement, documentation, and gradual replacement of legacy components without downtime.

Our stack

The tools we use on every engagement in this practice.

DatadogPagerDutySentryNew RelicAWS CloudWatchk6OWASP ZAPSnykDependabotLighthouse

Things people ask us

24/7 monitoring and on-call coverage, monthly security patching, quarterly performance reviews, and allocated sprint capacity for feature work and technical debt.

Yes, with a transition period. We spend the first two to four weeks doing a technical audit, writing documentation, and onboarding. Most handovers are operational within a month.

P1 critical: 15-minute acknowledgement, 1-hour mitigation. P2 high: 1-hour acknowledgement, 4-hour resolution. P3 medium: next business day. Custom SLAs for enterprise clients.

We plan major upgrades as structured projects within the retainer — scope, risk assessment, testing environment validation, and a rollback plan before any production change.

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