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AWS Consulting Service

AWS Cost Optimization

Identify waste, right-size resources, and implement Savings Plans without rearchitecting your AWS environment.

What is AWS cost optimization?

Identify the waste. Model the savings. Implement the changes.

AWS cost optimization is the systematic process of identifying waste, right-sizing over-provisioned resources, restructuring storage, and implementing Savings Plans or Reserved Instances to reduce AWS spend without compromising reliability or performance. Forged Concepts starts with a deep Cost & Usage Report (CUR) analysis using Athena and QuickSight to understand exactly where spend is going by service, by account, by tag, by resource. From there, the work covers rightsizing EC2, RDS, EKS node groups, and Lambda memory allocation; implementing Savings Plans for predictable compute workloads; converting S3 buckets to Intelligent-Tiering; reducing data egress costs; and eliminating idle or abandoned resources. Typical reductions are 10–15% of the monthly AWS bill, without a rewrite of the application layer. Actual savings depend on how optimized the environment is today. FinOps, the discipline of financial accountability for cloud spend, becomes an ongoing practice rather than a one-time project.

10–15%

Typical AWS bill reduction

2–5 days

CUR analysis to ranked savings list

Quarterly

FinOps reviews included

Written

Remediation plan before we touch anything

What we optimize

Every major source of AWS overspend, addressed.

  • CUR analysis with Athena + QuickSight cost breakdowns by service, by AWS account, by resource tag, and by usage type. The ranked list of savings opportunities sorted by dollar impact, before we touch anything.
  • EC2, RDS, EKS, and Lambda rightsizing: actual CloudWatch utilization data compared against provisioned instance types. We model the right family, generation, and size. No guessing.
  • Savings Plans and Reserved Instance strategy: we model your last 30 days of On-Demand usage against 1-year and 3-year rates, with a recommended mix based on workload stability and instance flexibility requirements.
  • S3 storage class optimization: lifecycle policies for Infrequent Access and Glacier transitions, and Intelligent-Tiering for buckets with unpredictable access patterns.
  • Data egress cost reduction: we identify the largest egress sources and route traffic through lower-cost paths (CloudFront, VPC endpoints, same-AZ communication).
  • Idle and zombie resource cleanup: stopped EC2 instances still charging for EBS, unused Elastic IPs, NAT Gateways in empty VPCs, abandoned snapshots and AMIs.
  • Ongoing FinOps reviews (monthly/quarterly): cost trends, growth forecasting, and new sources of drift identified before they compound. Cost optimization is not a one-time project.

How we work

From CUR analysis to ongoing FinOps governance.

1

CUR analysis: map spend to resources, accounts, teams

We ingest your Cost and Usage Report into Athena, write queries against every material cost driver, and visualize results in QuickSight. You get a ranked list of waste sorted by dollar impact before a single change is made.

2

Optimization plan: prioritize by impact and effort, model Savings Plans

A written remediation plan covering every recommended change: which instances to rightsize, which Savings Plans to purchase, which S3 buckets need lifecycle policies, and which idle resources to decommission. Prioritized by effort and savings impact.

3

Implement changes: rightsizing, storage class changes, resource cleanup

We execute the remediation plan: rightsizing instances, purchasing Savings Plans, updating S3 lifecycle configurations, enforcing tagging policies via AWS Config rules, and decommissioning confirmed idle resources.

4

FinOps reviews: monthly cost review, track savings, adjust Savings Plans

Every quarter we review cost trends against your growth, identify new sources of drift, and update the commitment model if your usage profile has changed. This is what prevents reversion to the baseline after initial reductions.

What causes high AWS bills

The same seven problems appear on most AWS bills.

01

Over-provisioned EC2 and RDS instances sized for peak, running at 10% average CPU. The difference between an m5.4xlarge and an m7g.xlarge at 12% CPU is hundreds of dollars per month, per instance.

02

No Savings Plans or Reserved Instances, meaning you pay On-Demand rates for baseline workloads that run 24/7. Savings Plans reduce those same workloads 30–60%.

03

Data egress fees: traffic leaving AWS, especially between regions. EC2-to-internet egress at $0.09/GB adds up fast on high-traffic workloads and is frequently the surprise line item.

04

Untagged resources: no cost allocation means no accountability. If you can't attribute a cost to a team or workload, you can't control it.

05

Abandoned snapshots, AMIs, and unused EBS volumes: resources that stopped being useful months ago but keep generating charges.

06

S3 in the wrong storage class: Standard pricing for objects accessed once a year. Intelligent-Tiering or Glacier costs a fraction of Standard for infrequently-accessed data.

07

Lambda memory over-allocation: Lambda pricing is duration times memory. Functions allocated 3GB that actually need 512MB are paying 6x the necessary cost across every invocation.

Environments with no previous optimization work typically see 30–40% reductions. Forged Concepts delivers a written remediation plan after the CUR analysis so you know exactly where the savings come from, ranked by dollar impact, before any implementation work begins.

FAQ

Common questions about AWS cost optimization.

What is the difference between AWS Savings Plans and Reserved Instances?

Savings Plans are a flexible commitment to a dollar amount of compute usage per hour (e.g., $10/hr). They apply automatically to any EC2, Lambda, or Fargate usage in that account or org. Reserved Instances commit to a specific instance type in a specific region for 1 or 3 years. Less flexible, but they can offer slightly higher discounts for predictable, stable workloads. Forged Concepts models both options against your actual usage patterns and recommends the mix that maximizes savings without overcommitting to instance types that may change.

What is the AWS Cost and Usage Report (CUR)?

The CUR is AWS's most granular billing data source: a CSV or Parquet file delivered to S3 with line-item cost data for every resource, every hour. Forged Concepts queries the CUR using Amazon Athena and visualizes it in QuickSight dashboards, producing cost breakdowns by service, by AWS account, by resource tag, and by usage type. This is the starting point for all cost optimization work.

How much can you typically reduce our AWS bill?

Typical savings range from 10–15% of monthly AWS spend, depending on how optimized the existing environment is. Accounts with no Savings Plans, over-provisioned EC2 instances, and uncontrolled egress tend to see larger reductions. Accounts that have already implemented Reserved Instances and rightsized their compute see smaller marginal gains. Forged Concepts delivers a written remediation plan after the CUR analysis that quantifies expected savings from each change before any implementation begins.

What is rightsizing in AWS?

Rightsizing means selecting the instance or resource size that matches actual workload requirements rather than over-provisioning for theoretical peak load. An EC2 instance running at 8% CPU average can be downsized without performance impact. A Lambda function allocated 3GB of memory that actually uses 512MB is wasting 2.5GB of billable allocation on every invocation. Forged Concepts uses AWS Compute Optimizer and CUR data to identify rightsizing candidates with quantified savings.

What is data egress in AWS?

Data egress is the cost of data leaving AWS to the internet, to another AWS region, or to a different Availability Zone. Egress is often the surprise line item on AWS bills. Common causes: applications downloading data from S3 to on-premise without CloudFront caching, cross-region replication without compression, and inter-AZ traffic inside microservices architectures. Forged Concepts maps egress patterns and routes traffic through lower-cost paths (CloudFront, VPC endpoints, same-AZ communication).

What is FinOps?

FinOps is the discipline of financial accountability for cloud spending, treating cost data with the same rigor as performance or reliability data. Instead of paying the AWS bill and moving on, FinOps teams set budgets, track cost per feature or per customer, create accountability for spend in engineering teams, and run monthly reviews against targets. Forged Concepts implements FinOps practices including cost tagging, budget alerts, and monthly review processes as part of cost optimization engagements.

Do you optimize for multiple AWS accounts?

Yes. Forged Concepts works with AWS Organizations and the management account CUR, which aggregates spend across all member accounts. Savings Plans and Reserved Instances can be shared across the organization. We implement cost allocation tags and account-level budgets to make spend visible at the team or product level.

How quickly do cost savings appear after optimization?

Some changes are immediate: turning off idle instances, adjusting storage classes, and cleaning up abandoned resources save money on the current billing cycle. Rightsizing takes effect within hours of the instance type change. Savings Plans activate within 24 hours of purchase. The full savings typically emerge over 30–90 days as all changes are implemented and Savings Plans coverage builds.

Ready when you are

Need senior AWS expertise without building a full internal team?

Forged Concepts helps growing companies improve AWS performance, control cloud costs, modernize infrastructure, and build with confidence. If your team needs stronger cloud architecture, better operations, or a clearer path forward on AWS, let's talk.