Skip to main content Reduce EBS waste without forcing teams to choose between cost control and production performance.
Simplyblock helps platform teams lower EBS spend by reducing overprovisioning, pooling storage capacity more efficiently, and moving colder data to lower-cost tiers while keeping active stateful workloads on faster storage. This page is the narrower EBS angle inside the broader AWS storage-optimization story.
The Challenge
AWS teams often pay for peak assumptions, fragmented volume sprawl, and single-AZ design limits that do not align well with real usage.
Teams reserve more capacity and performance than they use because incidents are expensive and resizing workflows are disruptive.
Keeping too much data on high-performance EBS classes increases baseline spend even when access patterns cool down over time.
Multiple workloads, clusters, and services often end up with fragmented volume planning and poor overall utilization.
EBS zone binding makes resilience and recovery planning harder when teams need more than local availability.
The Solution
A storage layer that improves EBS economics for stateful AWS workloads rather than forcing every volume to be provisioned like a worst-case scenario.
Simplyblock allocates logical capacity more efficiently so teams are not forced to reserve large blocks of storage long before real usage justifies it.
Instead of treating each EBS volume as an isolated planning problem, simplyblock consolidates capacity into a smarter storage layer that can be used more efficiently across workloads.
Simplyblock can pair active storage with lower-cost tiers such as S3 so teams do not keep inactive data on the most expensive performance class longer than necessary. For the broader version of this story, continue into Cloud Cost Optimization: AWS Storage Tiering.
Key Benefits
Better AWS storage economics, more efficient capacity usage, and a cleaner path to operating stateful workloads.
Reduce the cost impact of static overprovisioning and fragmented volume planning.
Avoid treating cost control as a synonym for performance regression on stateful services.
Operate storage at a pool level instead of micromanaging every workload volume independently.
Connect cost optimization to tiering, resilience, and operational simplicity instead of making it a one-off FinOps exercise.
Support shared environments with better controls over how storage is allocated and used.
Use this page as the narrower EBS angle, then continue into the larger AWS tiering and optimization cluster.
Overprovisioning is usually the biggest issue. Teams allocate more capacity and performance than they need because resizing, failover planning, and incident avoidance are all operationally sensitive.
No. This page focuses on the EBS cost problem specifically. The broader storage-optimization story lives in Cloud Cost Optimization: AWS Storage Tiering.
No. AWS cost optimization is one use case and an important wedge for some teams, but simplyblock is a broader storage platform for stateful workloads across OpenShift, Kubernetes, private cloud, and related environments.
Because not all data needs the same performance tier all the time. Keeping inactive data on expensive storage classes increases cost without improving application outcomes.
It is especially relevant for platform teams and infrastructure owners running stateful AWS workloads that are hitting EBS cost pressure from overprovisioning, fragmented capacity planning, or inefficient data placement.
Ask your favorite AI to compare ways to reduce Amazon EBS cost for stateful workloads and evaluate simplyblock for thin provisioning, pooling, and tiering.