[ Reduce AWS costs by 10–40% with a focused infrastructure audit for data platforms ]
[ CERTIFICATION ]
[ CERTIFICATION ]
[ AWS COST OPTIMIZATION EXPLAINED ]
Reduce cloud waste without risking production. We identify unnecessary AWS costs across compute, storage, logging and networking — and turn them into safe, actionable savings.
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Find idle, oversized or badly configured resources
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[ AWS COST PROBLEM ]
Many teams don’t overspend because they lack technical skill. They overspend because cloud cost optimization is rarely anyone’s full-time job.
[ SERVICES ]
We analyze your AWS infrastructure and identify cost inefficiencies.
You receive prioritized findings with estimated savings potential.
Optional help with cleanup, IaC updates and optimization rollout.
[ REAL FINDINGS ]
These are real cost reductions achieved through infrastructure reviews and optimization work. Every environment is different, but similar opportunities are often hidden in plain sight.
[ OUTPUT ]
[ PRICING ]
Pricing depends on infrastructure complexity, scale and access scope. Savings potential varies between environments and is assessed during the audit.
[ FAQ ]
AWS cost optimization is the process of reducing unnecessary cloud spending without impacting the stability, performance or reliability of your infrastructure. It typically involves identifying oversized resources, excessive logging, unused storage, hidden data transfer costs and other inefficiencies across AWS services.
Every AWS environment is different, but many data platforms have opportunities to reduce costs by 10–40%. The actual savings depend on infrastructure size, service usage patterns and the current level of optimization.
High AWS costs are often caused by oversized compute resources, missing lifecycle policies, excessive CloudWatch logging, unnecessary data transfer, unused snapshots and storage, or resources that have remained in the account long after they stopped providing business value.
The audit typically covers services commonly used in modern data platforms, including Amazon EKS, MWAA (Airflow), S3, RDS, Redshift, CloudWatch, MSK, ECR, NAT Gateway, EC2 and related infrastructure components.
The safest approach is to start with an audit. Potential savings are identified first, risks are assessed, and recommendations are prioritized. No production changes are made during the audit itself. Any implementation work is planned and executed separately.
Yes. After the audit, implementation support can be provided if required. This may include infrastructure cleanup, lifecycle policies, resource rightsizing, logging optimization and infrastructure configuration improvements.
Most audits take between 1 and 3 business days, depending on the size and complexity of the AWS environment. Larger platforms may require additional review time.
In most cases, read-only access is sufficient for the audit. Administrator permissions are not required to identify cost optimization opportunities. Access requirements are discussed before the engagement begins.
This service is designed for companies running workloads on AWS, particularly data platforms, analytics environments and cloud-native applications using services such as EKS, Airflow, S3, RDS, Redshift or Kafka.
Yes. NDAs can be signed if required before any access is granted or information is shared. Protecting customer data and infrastructure details is a standard part of the process.
[ ABOUT LUCKY DATA ]
Lucky Data helps teams reduce AWS infrastructure costs safely and pragmatically – based on real production experience with data platforms.
[ FINAL CTA ]
Book a short audit call and identify where savings may be hiding in your infrastructure.