Spend visibility
Cost allocation by team, product, and environment — finally.
Qbatch · Cloud Cost Optimization
FinOps practices, reserved capacity planning, and architectural tweaks that cut cloud waste — while keeping the SLAs your product depends on.
FinOps cycle
Tagging, dashboards, and showback
Rightsizing & reserved capacity
Policies & automation
Unit economics & trends
Quarterly tuning cadence
Capabilities
We cut waste — not redundancy your production SLAs require.
Cost allocation by team, product, and environment — finally.
CPU, memory, and storage tuned to actual utilization patterns.
Commitment strategies that match your steady-state workload.
Scale to demand without paying for peak capacity 24/7.
Lifecycle rules for S3, blob, and archive tiers.
Budget alerts, approval workflows, and IaC linting for cost anti-patterns.
Idle resources and obvious oversizing addressed in the first sprint.
Cost per transaction, user, or API call — not just total bill shock.
Processes your team runs quarterly, not a one-time consultant report.
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CI/CD, observability, and infrastructure as code.
Architect resilient systems on AWS, Azure, and GCP.
Lift, refactor, or replatform with minimal downtime.
Hardened networks, secrets, and access controls.
Secure SDLC practices from design through deployment.
Many clients see 20–40% reduction on first pass without touching architecture. Deeper savings come from design changes over subsequent quarters.
No. We rightsizing against p95/p99 metrics and load tests — never cut headroom your SLAs need.
Yes — CloudHealth, Kubecost, AWS Cost Explorer, Azure Cost Management, and custom dashboards.
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