AI Ops & Product Evolution

Application Scaling & Support

We provide dedicated L2 and L3 support to ensure your custom applications remain highly available and performant as your user base grows.

Discuss this service

Overview

What This Covers

Shipping a product is the beginning, not the end. We provide dedicated support and scaling services for the AI applications we build — and for those you've built elsewhere. SLA-backed, integrated with your incident management, and staffed by engineers who understand AI application behaviour at scale.

Included in scope

  • L2 and L3 application support
  • SLA design and performance monitoring
  • Incident management and root-cause analysis
  • Capacity planning and auto-scaling design
  • Database optimisation and query tuning
  • LLM cost optimisation and rate-limit management

When to Engage

Situations We're Built For

"We're growing fast and our app is starting to show strain."

We audit the bottlenecks, design the scaling changes, and implement them — without production downtime.

"We need dedicated support but can't hire a full ops team."

We provide SLA-backed support as an extension of your team — covering incidents, performance issues, and ongoing maintenance.

"Our AI feature costs are growing faster than revenue."

LLM costs are manageable with the right caching, model selection, and prompt optimisation. We audit and fix the spend.

How We Work

Our Approach

1

Onboarding

System review, access provisioning, SLA design, and runbook documentation.

2

Monitoring setup

Application performance, error rates, LLM costs, and data pipeline health — all visible in one place.

3

Incident response

Defined escalation paths, response times, and post-incident reviews.

4

Scaling

Proactive capacity planning and reactive scaling when the load exceeds projections.

5

Reporting

Monthly SLA scorecard and improvement recommendations.

Technologies

DatadogSentryPagerDutyVercelAWS CloudWatchPostgreSQLRedis

Ready to get started?

Tell us what you're building and we'll respond within one business day.

Let's talk