Low cost visibility
Spend is not broken down by team, environment or workload, so nobody can act on it.
Cloud spend creeps because no one owns it and nothing is turned off. We start by making the bill readable (what's actually driving cost), then rightsize, remove orphaned resources, and plan reservations/savings plans where they pay off. Just as important, we set up ongoing cost visibility so the waste doesn't quietly grow back.
Resolving inconsistent multi-account setups, unmanaged network egress, security drift, and unplanned cloud expenditure.
Spend is not broken down by team, environment or workload, so nobody can act on it.
Compute and storage are provisioned for peak load and never revisited.
Spend can grow past expectations before anyone notices.
We start by making the bill readable (what's actually driving cost), then rightsize, remove orphaned resources, and plan reservations/savings plans where they pay off. Just as important, we set up ongoing cost visibility so the waste doesn't quietly grow back.
Tagging and reporting break spend down by team, environment and workload.
Budgets and alerts flag spend before it becomes a surprise.
Compute and storage matched to actual usage instead of worst-case estimates.
Ongoing visibility so cost cleanup doesn't quietly reverse itself.
Architected with automated guardrails, hub-spoke network topology, policy enforcement as code, and central logging.
Understand the business goal, current environment, risks and constraints before any design work begins.
Design the target operating model, controls and integration points so the solution fits how the business actually runs.
Build and configure the solution using repeatable, reviewed engineering practices, not one-off manual work.
Test against real scenarios and security requirements before anything reaches production.
Hand over documentation, runbooks and support so the client team can run the result with confidence.
Every phase ends with a documented deliverable and a clear go/no-go decision before the next one starts.
Systematic workload assessment, automated Terraform deployment, cutover execution with rollback protection, and FinOps tuning.
Implement tagging and reporting so spend can be broken down by team, environment and workload.
Compare provisioned capacity against actual usage.
Set budgets and alerts to catch spend before it grows unexpectedly.
Revisit cost posture regularly rather than as a one-time exercise.
Accelerate feature delivery across compliant infrastructure with US data residency built in.
Tagging and reporting break cost down by team, environment and workload.
Compute and storage are matched to actual usage instead of worst-case estimates.
Budgets and alerts flag spend before it becomes a surprise.
Built on leading enterprise cloud providers and automation platforms tested for mission-critical reliability.
Direct answers regarding architecture choices, migration timelines, and operating ownership.
Done right, no: most savings come from waste and over-provisioning, not from cutting real capacity.
We do the cleanup and leave you visibility/guardrails so it stays clean.
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