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Each customer is backed by a dedicated team that collaborates with you daily through Slack or Teams.
Drives rightsizing and scheduling decisions based on savings impact & business priorities.
Ensures every resizing and scheduling action is safe, reliable, and performance-ready.
Coordinates teams, tracks progress, shares weekly/monthly reports, and ensures sustained savings.
Rising AWS costs, resource underutilization, and security gaps
Rightsizing, decommissioning, modernization, and closing security gaps
Achieved ~25% AWS savings, 15+ vulnerabilities fixed, utilization improved from ~45% to ~78%
Multi-account visibility gaps and resource underutilization
Enabled cleanup, right-sizing, and real-time insights
20% savings — from EC2 cleanup, rightsizing, and dynamic provisioning, along with ~4% monthly recurring savings
Over and under-provisioned resources with low visibility
EC2 rightsizing, idle cleanup, and centralized reporting
Identified over 4% monthly AWS savings, driven mainly by EC2 optimization


Ranked #1 in User Satisfaction based on 100% genuine customer reviews for Cloud Management
15+
Years of experience in cloud
350+
Certified solutions architects & cloud experts
$120
Million savings delivered
20%
Average savings on the entire cloud bill
Frequently Asked Questions
Cloud workload rightsizing is the practice of aligning cloud resources - such as instances, databases, and containers - to the actual performance and capacity needs of applications, instead of overprovisioning “just in case.” It uses utilization and performance data to recommend smaller, cheaper, or more appropriate resource types.
Rightsizing ensures your instances and containers are correctly sized, while autoscaling adjusts capacity based on demand. Together, they ensure workloads scale efficiently without unnecessary cost.
Cloud workload scheduling is turning resources off - or scaling them down - when they’re not needed, like nights and weekends for non‑production workloads. It matters because many environments do not need to run 24×7, and turning them off during idle periods directly reduces your cloud bill.
CloudKeeper combines data‑driven recommendations with collaborative workflows, approvals, and guardrails. Your teams and CloudKeeper’s experts jointly review changes, start with low‑risk workloads, and only automate what you’re comfortable with.
Most organizations realize quick‑win savings from scheduling and low‑risk rightsizing within the first few weeks, followed by deeper, policy‑driven gains over the next few cycles as more workloads and environments are brought into scope.
CloudKeeper Tuner is our proprietary automated usage optimization & recommendation platform that acts as a real-time assistant and easily fits into your flow of work across multiple cloud accounts. It delivers tailored recommendations and enables you to optimize resources effortlessly while maintaining peak performance for your workloads.
Scheduler is one of the features of Tuner that automatically manages resource uptime by turning non-production workloads on or off based on defined schedules. It eliminates manual shutdowns, reduces idle cloud spend, and provides full visibility into every automated action.
Every customer is supported by a dedicated FinOps Strategist, Solutions Architect, and Customer Success Partner. They validate opportunities, align stakeholders, coordinate execution, and ensure savings are implemented and sustained—not just identified.