AWS Cost Optimization Program
Reduce Your AWS Infrastructure Costs
We utilize Kalos to monitor your AWS usage and costs, and then analyze the results and present cost optimization recommendations. Through data-driven methodologies and alignment with the AWS well-architected framework, our team creates a hollistic cost report with cost containment recommendations for your infrastructure.
Discover the power of cost optimization assessments, tailored to your business needs. When you take advantage our AWS Cost Optimization Program, you open doors to remarkable savings – up to 40% off your monthly AWS bill.*
Multiple Assessment Areas
Ongoing Monitoring
Instant Discounts with AWS Resale
Cost & Performance Analysis
AWS cost optimization is the process of refining and reducing spend over the lifecycle of your system without compromising performance. To balance these factors, we consider your resource utilization, application requirements, network performance, and AWS pricing structure. Our process involves both tools and human analysis to view your infrastructure and business as whole and provide practical recommendations.
Assessment Areas
Our certified AWS experts monitor your AWS usage and spend to deliver detailed recommendations for cost containment. We look at:
- Rightsizing of instances
- Purchasing options
- Regional pricing comparisons
- Reserved Instances
- Savings Plans
- Discount programs
- And more, based on your environment
What Are The Steps Involved?
We work closely with our clients to ensure clear alignment on objectives, timeline, and project scope. We strive to make the process easy, enjoyable, and productive.
- Team introductions to understand goals, explain the process, and identify next steps.
- Discovery session covering your application, infrastructure, AWS usage, costs, and challenges.
- Access to Kalos for complete visualization of your AWS estate, usage, costs, performance, and security posture.
- Presentation of an in-depth discovery report after with a short- and long-term strategy for reducing workload costs.
Complimentary Cost Monitoring with Resell
With AWS resell through Stratus10, your company gets free cost optimization analyses with ongoing monitoring and recommendations on a monthly basis.
Sign up today and start saving up to 40% off your monthly AWS bill.*
Kalos Cloud Management Platform
Kalos Cloud Management Platform
Explore how Kalos by Stratus10 streamlines cloud cost optimization and security compliance.
FAQs
Our AWS Cost Optimization Program includes resale through Stratus10 plus free monitoring and monthly cost optimization meetings with our engineers. Through this program, business are empowered to take control of their AWS costs without compromising on performance or dedicating internal resources to complex cost reduction tactics. Through in-depth analysis, optimization strategies, and adoption of cost-effective AWS services, you achieve significant cost savings while leveraging the full potential of the cloud.
AWS cost optimization is a fundamental principle within the AWS Well-Architected framework. Its primary focus is on attaining the most cost-effective solutions for workloads and systems in the AWS environment. While cost optimization is essential, it should not come at the expense of performance, security, or reliability. Striking the right balance is crucial.
To optimize costs effectively, businesses must understand the factors that contribute to wasteful spending in the AWS Cloud. Some of the root causes include:
- Mismanaged cloud resources: Idle or unused resources, as well as over-provisioned instances, can lead to unnecessary costs. In many cases, companies may overlook these resources, resulting in wastage.
- Pricing complexity and spend forecasting: AWS offers a vast catalog of over 200 fully-featured services, each with its own pricing structure. This complexity can make it challenging for businesses to accurately predict their spending and allocate resources optimally.
- Determining the right instances for each workload: Our team employs Kalos for complete monitoring and reporting as well as experienced AWS Solutions Architects to analyze your workloads and take into consideration things like application requirements (memory, compute, network, etc.), traffic and usage patterns, resource utilization, expected growth, and more. Then, we present rightsizing recommendations for the most suitable type and size of EC2 instances for each workload.
Yes, this AWS cost optimization assessment is complimentary with a resale agreement, providing valuable insights at no cost.
We leverage autoscaling and load balancing strategies which allow your infrastructure to dynamically adjust to fluctuations in demand. This ensures that you have the necessary resources during peak times while scaling down during off-peak hours, optimizing your AWS cost accordingly.
Absolutely! We frequently recommend serverless (if fitting) because of its cost advantages while maintaining optimal performance. By optimizing AWS Lambda functions and adopting serverless best practices, applications can scale seamlessly without incurring unnecessary expenses.
We highly recommend implementing proper tagging practices, setting up real-time alerts, and utilizing Kalos for cost and performance monitoring. By closely tracking your AWS usage, you can detect any unusual patterns and take corrective actions to prevent cost overruns.
Related Case Studies on Cost Optimization
Facing scaling challenges with their data center, BMT's data was growing rapidly and needed to be processed in an efficient manner. By migrating and modernizing their infrastructure and leveraging efficient storage tiers, BMT experienced significant cost savings.
Peachjar was searching for a solution to running specialized machine learning workloads on an elastically scalable, cost-efficient platform. By moving to EKS, Peachjar met all performance and cost goals, and signficantly reduced the time and resources required to maintain their ML systems.
Prime Time Produce was at an intersection with their co-located data center agreement up for renewal and both their hardware and OS reaching end-of-life. By shifting to an OpEx model on AWS, Prime Time lowered the impact on their balance sheet by over $100K.