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Efficient EBS cost management tips for your business

Cloud storage costs can quickly spiral out of control, especially when it comes to Amazon Elastic Block Store (EBS) volumes. With the right optimization strategies, you can reduce your EBS expenses by 20-30% without sacrificing performance. Let’s explore how to make your AWS storage both cost-effective and high-performing.

Understanding the EBS cost optimization opportunity

Amazon EBS provides block-level storage volumes for EC2 instances, but its flexibility can lead to inefficient spending if not properly managed. Many businesses overprovision storage, select inappropriate volume types, or maintain unused resources—all of which inflate AWS bills unnecessarily.

By implementing targeted optimization strategies, you can significantly reduce these costs while maintaining or even improving performance for your critical workloads. According to many cloud optimization experts, businesses regularly achieve 20-50% cost savings through systematic EBS auditing and proper resource allocation.

Volume type selection: The foundation of cost efficiency

One of the most impactful cost-saving opportunities comes from selecting the right EBS volume type for your workloads.

Migrate from gp2 to gp3 volumes

In 2025, gp3 volumes offer a compelling cost advantage over their gp2 predecessors:

  • 20% lower base cost: gp3 volumes cost $0.08/GB compared to gp2’s $0.10/GB
  • Enhanced flexibility: gp3 allows independent scaling of IOPS without resizing storage
  • Better baseline performance: 3,000 baseline IOPS vs. gp2’s burst-based model

This simple migration can yield immediate savings while potentially improving performance. As noted in AWS’s own documentation, organizations have achieved substantial cost reductions through this transition alone.

Think of this like upgrading from a rigid cell phone plan (gp2) where you pay for maximum usage to a flexible plan (gp3) where you pay for what you need—same service, lower bills.

Match volume types to workload requirements

For workloads with specific performance needs:

  • High-performance workloads: io2 volumes ($0.125/GB + $0.065/IOPS) provide guaranteed IOPS levels for mission-critical applications like high-throughput databases
  • Sequential access patterns: Consider st1 (Throughput Optimized HDD) for log processing or data warehousing at just $0.045/GB
  • General-purpose workloads: gp3 offers the best balance of cost and performance for most business applications

The difference in performance and cost between these volume types can be substantial. For example, a financial services company might need io2 volumes for their trading platform database to ensure consistent performance, while their development environments could use gp3 volumes at nearly half the cost.

Right-sizing: Eliminate waste without compromising performance

Overprovisioned volumes waste resources and inflate costs. For example, a 1TB volume that only uses 500GB represents a 50% cost inefficiency—like paying rent for a two-bedroom apartment when you only need one.

Identify optimization opportunities

Use these AWS tools to identify right-sizing opportunities:

  1. AWS Compute Optimizer: Analyzes CloudWatch metrics to recommend optimal volume configurations based on actual usage patterns
  2. AWS CloudWatch: Monitor actual usage patterns to identify underutilized volumes and track performance metrics
  3. AWS Cost Explorer: Track spending trends across your EBS resources and visualize cost distribution

AWS Compute Optimizer specifically examines historical usage data to suggest appropriate volume types and sizes, often identifying 20-30% of volumes as candidates for optimization.

Implement volume adjustments strategically

Once you’ve identified optimization targets:

  • Downsize overprovisioned volumes based on actual usage patterns while maintaining appropriate buffer capacity
  • Downgrade volume types during low-throughput periods (e.g., switching from io2 to gp3 for development environments over weekends)
  • Implement auto-scaling for workloads with predictable usage patterns to automatically adjust resources

According to EBS pricing techniques, right-sizing alone can reduce costs by up to 50% in some cases, especially for organizations that initially over-provisioned out of caution.

Lifecycle management: Optimize for the long term

Effective lifecycle management ensures you’re not paying for resources you no longer need—similar to canceling subscriptions for services you’ve stopped using.

Snapshot management

EBS snapshots provide valuable backup protection but can accumulate significant costs over time:

  • Implement retention policies: Automatically delete snapshots after a defined period (e.g., keep daily snapshots for one week, weekly for one month)
  • Archive infrequently accessed snapshots: Move older snapshots to Amazon S3 Glacier for long-term storage at significantly lower costs
  • Audit snapshot inventory: Regularly review and remove unnecessary snapshots, especially those from terminated instances

One enterprise customer discovered over 2TB of forgotten snapshots from decommissioned applications, representing thousands in unnecessary monthly spend.

Automate cleanup processes

Automation is key to maintaining cost efficiency:

  • Use AWS Data Lifecycle Manager: Automate snapshot creation and deletion based on customizable schedules and retention rules
  • Implement tagging strategies: Tag volumes by project, department, or environment to track costs and identify orphaned resources
  • Set up CloudWatch alarms: Get notified when volumes remain detached or unused for specified periods

AWS FinOps tools can help automate many of these processes, ensuring your optimization gains don’t erode over time due to manual oversight.

Advanced cost optimization strategies

Beyond the basics, these advanced techniques can further reduce your EC2 EBS cost:

Reserved Instances and Savings Plans

For predictable workloads, consider:

  • Reserved Instances (RIs): Commit to specific EC2 instances with attached EBS volumes for 1-3 years and receive discounts of up to 75%
  • Savings Plans: Flexible commitment options that can reduce overall compute costs while indirectly benefiting your EBS strategy

These commitment-based discounts work well for stable production environments where storage needs are consistent and predictable.

Multi-account optimization

For organizations with multiple AWS accounts:

  • Implement cross-account monitoring: Track EBS usage across your organization using AWS Organizations and consolidated billing
  • Standardize tagging policies: Ensure consistent cost allocation and resource tracking across all business units
  • Centralize optimization governance: Create organization-wide best practices and policies for volume provisioning

A financial services company implemented cross-account monitoring and discovered $45,000 in annual potential savings across their AWS organization.

Real-world results: Case studies in EBS optimization

Organizations implementing these strategies have seen impressive results:

  • A technology startup using AWS Compute Optimizer recommendations achieved ~30% cost savings by right-sizing EBS volumes and upgrading to gp3, allowing them to redirect those savings to feature development
  • A healthcare provider faced a $240 monthly cost spike using high-performance EBS volumes for a low-usage database, which was resolved by switching to a more cost-effective volume type based on actual IOPS requirements
  • Hykell customers have reported over 50% cost reduction through systematic EBS auditing and optimization, including one e-commerce company that saved over $8,000 monthly

Implementing your EBS cost optimization strategy

Follow these steps to develop your optimization roadmap:

  1. Audit your current EBS usage: Use AWS Compute Optimizer and CloudWatch to identify opportunities for improvement
  2. Prioritize quick wins: Focus on gp2 to gp3 migrations and obvious right-sizing opportunities that offer immediate savings
  3. Implement monitoring and automation: Set up tools to maintain optimization over time and prevent resource sprawl
  4. Develop governance policies: Create standards for volume provisioning and lifecycle management across your organization
  5. Review regularly: Cloud environments evolve, so schedule quarterly optimization reviews to maintain efficiency

For organizations looking to optimize beyond EBS, consider exploring AWS FinOps tools that can help manage costs across your entire AWS environment.

Beyond EBS: Comprehensive AWS cost management

EBS optimization is just one component of a holistic AWS cost management strategy. Consider these additional areas:

  • EC2 instance optimization: Right-size your compute resources based on actual CPU and memory utilization
  • Redshift optimization: Manage data warehouse costs with AWS Redshift cost optimization strategies such as proper node sizing and query optimization
  • Multi-cloud comparison: Evaluate if your workloads might benefit from GCP savings plans in certain scenarios, especially for specialized workloads

Taking action on EBS cost optimization

Optimizing your EBS costs doesn’t require compromising performance. By implementing the strategies outlined in this guide, you can achieve significant savings while maintaining or even improving your AWS storage performance.

The most successful cost optimization initiatives start with low-hanging fruit—migrate gp2 volumes to gp3, identify and resize obviously overprovisioned volumes, and clean up unused snapshots. These actions alone can yield 15-20% savings with minimal effort.

Ready to reduce your cloud costs without the ongoing engineering effort? Hykell specializes in automated cloud cost optimization for AWS, helping businesses reduce their cloud costs by up to 40% automatically while ensuring full compliance and performance.

Remember, effective EBS cost optimization isn’t a one-time project but an ongoing process that requires regular attention and adjustment as your workloads evolve. The most successful organizations make cost efficiency part of their cloud culture, not just a periodic initiative.