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Monitoring & alerting
Errors and downtime surface to a named human before your customers tweet about them — alerting is part of every build, not an upsell.
Platforms live in production for years. We keep yours fast, secure and evolving — monitored around the clock, maintained on schedule, and improved by the people who built it.
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Errors and downtime surface to a named human before your customers tweet about them — alerting is part of every build, not an upsell.
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Core Web Vitals measured in the field on real visitors' devices, then improved methodically — because a fast March quietly becomes a slow October.
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Framework upgrades and dependency patches handled as scheduled maintenance with proper testing — never as a panicked response to a headline.
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Deployment pipelines, backups and environments managed properly, with you owning every account and credential from day one.
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Small monthly improvements informed by real usage data — the unglamorous compounding work that keeps a platform feeling new.
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No ticket queues into the void. You get the engineer who knows your codebase, because they are the one who wrote it.
Production software changes even when its code does not. Browsers update, dependencies publish security fixes, third-party APIs change and traffic exposes behaviour staging never saw. A care plan creates a regular maintenance rhythm so those changes become planned work rather than emergency projects.
Support begins with clear ownership and response routes. Monitoring covers availability and application errors, while scheduled reviews cover dependencies, backups, certificates and provider changes. Each alert needs enough context to identify impact and a named person responsible for deciding what happens next.
Performance work starts with real-user evidence from Search Console, browser monitoring or equivalent field data. Largest Contentful Paint, Interaction to Next Paint and Cumulative Layout Shift are reviewed by page template and device class, because an overall average can hide a poor mobile checkout or service page.
Improvements target the actual bottleneck: server response, image delivery, font loading, client-side JavaScript, third-party scripts or unstable layout. We verify changes in controlled tests, then watch field data as new visits enter the rolling measurement window. Scores are treated as diagnostics, not a substitute for user outcomes.
Framework and dependency updates are applied in staging with automated checks and focused regression testing before production. Backups are useful only when restore steps are understood, so critical recovery paths and account access are documented rather than assumed.
Maintenance can also include small product and content improvements informed by support requests, search performance and analytics. A short prioritised backlog keeps those changes connected to customer friction and commercial value, while release notes provide a durable record of what changed and why.
Often, after a technical review. We assess code quality, deployment access, dependencies, monitoring and known incidents before defining safe support boundaries and priorities.
It can include dependency review, framework upgrades and remediation of relevant advisories. Scope and response expectations are documented so urgent work is distinguishable from routine maintenance.
Yes. We establish template-level field and lab baselines, isolate the main causes, make targeted changes and monitor whether real-user measurements improve after release.
We prefer client-owned production accounts and credentials with least-privilege access for our team. This preserves control and makes future handover straightforward.