Day-to-day cloud operations
Patching, backups, capacity, access requests and account hygiene across your cloud accounts, tracked in your ticketing tool.
We run your AWS, Azure and GCP accounts day to day: patching, backups, access, capacity and cost. Every month you see what changed, what it cost and what we plan to fix next.
The problem
Spend grows every quarter, but nobody can say which team, product or customer is driving it.
Test environments run all weekend, instances are sized for a launch that ended long ago and old snapshots pile up.
Reservations and savings plans are either skipped or bought without usage data, so money is wasted both ways.
Patching, backups and access reviews happen when someone remembers, which is usually after an incident.
What we deliver
We look after the estate and the bill together, because most cost problems are really operations problems.
Patching, backups, capacity, access requests and account hygiene across your cloud accounts, tracked in your ticketing tool.
Tagging standards and dashboards that show spend by team, product and environment, so every cost has an owner.
Regular reviews of instances, storage, databases and idle resources, with changes agreed before we make them.
Reservations and savings plans bought on real usage data, reviewed as your workload changes.
Budgets per team and alerts on unusual spend, so a runaway job is caught in hours, not at month end.
Policies that stop untagged, public or oversized resources being created in the first place.
How we deliver
We learn your estate before we change it, and every change is agreed with you.
Always included
Typical tools
We review your accounts, spend and current operations.
We take over daily operations without gaps in coverage.
Quick cost and hygiene fixes first, then the structural ones.
Each month we work to reduce waste and risk.
Where we apply it
FAQ
Other managed services
Infrastructure as code, Kubernetes platforms and golden paths for product teams.
Pipelines that build, test, scan and deploy on every merge, with fast rollbacks.
Release calendars, change approvals, feature flags and canary rollouts.
Test strategy, automated regression, performance and API testing.
Observability, on-call and incident response around the clock.
Cloud migration, monoliths to services and manual processes to digital workflows.
L1 to L3 support for business apps, data pipelines and ML models.
AI strategy, GenAI and agents, data platforms, analytics, MLOps and transformation.
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.