Cloud Cost Optimization: 15 Strategies to Reduce Your AWS/Azure Spend

The Cloud Cost Challenge

According to the 2025 Flexera State of the Cloud report, 84% of enterprises say managing cloud spend is their top cloud challenge. Most organisations waste 20-35% of their cloud budget on unused or underutilised resources.

The good news: organisations that implement systematic cost optimisation can reduce costs by 30-40% while maintaining or improving performance.

This guide covers 15 proven strategies across commitment-based savings, right-sizing, architecture optimisation, and governance—with a cost savings calculator to estimate your potential savings.

Quick Wins: Immediate Savings

Strategy 1: Identify and Eliminate Idle Resources

Potential savings: 5-15%

Idle resources are the low-hanging fruit of cloud cost optimisation. These include:

AWS Quick Check:

1# Find unattached EBS volumes
2aws ec2 describe-volumes \
3  --filters Name=status,Values=available \
4  --query 'Volumes[*].[VolumeId,Size,CreateTime]'
5
6# Find unused Elastic IPs
7aws ec2 describe-addresses \
8  --query 'Addresses[?AssociationId==null].[PublicIp,AllocationId]'

Strategy 2: Right-Size Over-Provisioned Instances

Potential savings: 10-25%

Most cloud instances are provisioned for peak load but run at 10-30% utilisation. Right-sizing matches instance size to actual workload needs.

How to identify right-sizing opportunities:

Best practice: Review and right-size quarterly, not just once. Workloads change over time.

Strategy 3: Schedule Non-Production Resources

Potential savings: 40-70% on non-prod

Development, testing, and staging environments often run 24/7 but are only used during business hours.

Implementation options:

• AWS Instance Scheduler: Automated start/stop based on tags
• Azure Automation: Runbooks for scheduled scaling
• Custom Lambda/Functions: Tag-based scheduling
• Kubernetes: Scale down non-prod namespaces after hours

Commitment-Based Savings

Strategy 4: Reserved Instances (RIs)

Potential savings: 30-72%

Reserved Instances provide significant discounts in exchange for 1-3 year commitments.

Best practices:

• Start with 50-60% baseline coverage, increase gradually
• Use Convertible RIs for workloads that may change
• Monitor utilisation—aim for >95%
• Prefer 1-year terms for flexibility (technology changes rapidly)

Strategy 5: Savings Plans

Potential savings: Up to 72%

Savings Plans offer similar discounts to RIs but with more flexibility—you commit to a dollar-per-hour spend, not specific instances.

When to choose Savings Plans over RIs:

• Multi-region deployments
• Mixed instance families
• Plans to adopt containers (Fargate) or serverless (Lambda)
• Uncertainty about future instance types

Strategy 6: Spot Instances

Potential savings: 50-90%

Spot Instances use spare AWS capacity at steep discounts, but can be interrupted with 2 minutes' notice.

Implementation patterns:

Architecture Optimisation

Strategy 7: Optimise Storage Tiers

Potential savings: 50-80% on storage

Most organisations store data in expensive tiers longer than necessary.

Implement lifecycle policies:

1{
2  "Rules": [
3    {
4      "ID": "Move to IA after 30 days",
5      "Status": "Enabled",
6      "Transitions": [
7        {
8          "Days": 30,
9          "StorageClass": "STANDARD_IA"
10        },
11        {
12          "Days": 90,
13          "StorageClass": "GLACIER"
14        },
15        {
16          "Days": 365,
17          "StorageClass": "DEEP_ARCHIVE"
18        }
19      ]
20    }
21  ]
22}

Strategy 8: Optimise Data Transfer

Potential savings: 20-40% on data transfer

Data transfer costs often surprise organisations. Key strategies:

Strategy 9: Use Serverless for Variable Workloads

Potential savings: 30-60%

Serverless computing (Lambda, Fargate) eliminates idle capacity costs—you pay only for actual execution.

Good candidates for serverless:

• API backends with variable traffic
• Event-driven processing
• Scheduled tasks (cron jobs)
• File processing workflows
• Webhook handlers

Strategy 10: Containerisation and Bin Packing

Potential savings: 20-40%

Containers enable better resource utilisation through bin packing—fitting multiple workloads onto shared infrastructure.

Cost Governance

Strategy 11: Implement Tagging Strategy

Impact: Enables all other strategies

Without proper tagging, you can't attribute costs or identify optimisation opportunities.

Enforce tagging with policies:

1{
2  "Version": "2012-10-17",
3  "Statement": [
4    {
5      "Sid": "RequireTags",
6      "Effect": "Deny",
7      "Action": "ec2:RunInstances",
8      "Resource": "*",
9      "Condition": {
10        "Null": {
11          "aws:RequestTag/Environment": "true",
12          "aws:RequestTag/Owner": "true"
13        }
14      }
15    }
16  ]
17}

Strategy 12: Set Up Budgets and Alerts

Impact: Prevent cost surprises

AWS Budget example:

1Budget:
2  BudgetName: monthly-infrastructure
3  BudgetLimit:
4    Amount: 10000
5    Unit: USD
6  BudgetType: COST
7  TimeUnit: MONTHLY
8  NotificationsWithSubscribers:
9    - Notification:
10        NotificationType: ACTUAL
11        ComparisonOperator: GREATER_THAN
12        Threshold: 80
13      Subscribers:
14        - SubscriptionType: EMAIL
15          Address: finance@company.com

Strategy 13: Regular Cost Reviews

Impact: 10-20% ongoing savings

Strategy 14: Use Cost Optimisation Tools

Strategy 15: Modernise Legacy Architectures

Potential savings: 30-50%

Legacy lift-and-shift migrations often miss cloud-native optimisation opportunities.

Cost Savings Calculator

Use this framework to estimate your potential savings:

Step 1: Calculate Current Spend by Category

Step 2: Estimate Savings by Strategy

Example: Mid-Size Company ($50,000/month)

Optimisation Checklist

Immediate (Week 1)

• Identify and delete idle resources
• Review and delete unused snapshots
• Release unattached Elastic IPs
• Set up cost alerts and budgets

Short-Term (Month 1)

• Implement resource tagging strategy
• Right-size 20% of over-provisioned instances
• Schedule non-production environments
• Review and optimise storage tiers

Medium-Term (Quarter 1)

• Evaluate Reserved Instances or Savings Plans
• Implement Spot Instances for suitable workloads
• Set up regular cost review cadence
• Optimise data transfer patterns

Ongoing

• Monthly cost reviews
• Quarterly right-sizing reviews
• Annual RI/SP renewal evaluation
• Continuous anomaly monitoring

About Buun Group

At Buun Group, we help organisations optimise their cloud spend without sacrificing performance or reliability. Our approach:

• Assessment: Comprehensive analysis of your current spend and waste
• Quick wins: Immediate savings from idle resources and right-sizing
• Long-term optimisation: RI/SP strategy, architecture modernisation
• Governance: Tagging, budgets, and ongoing review processes

We've helped businesses reduce cloud costs by 25-45% while improving their infrastructure reliability. The key is systematic, ongoing optimisation—not one-time cleanup.