Pinnacle AI® enables customers to take control of cost and continuously optimize Cloud spending while building modern, scalable applications to meet their business needs. AWS’s breadth of solutions and services with various pricing options offer the flexibility to effectively manage your costs. We at Pinnacle AI® have developed an AI-ML-based solution that helps customers manage costs and still keep the performance and capacity required by the business.

One of the key challenges of current Cloud technologies is the vastness and complexity of technologies. No group of people can master multiple current and emerging technologies. The path to modernization of cloud technologies is strewn with failures. People are scared to take on complex projects for cost optimization and modernization due to a lack of a clear technical path.

At Pinnacle AI®, we have built Cost optimization and modernization -Advisory and implementation (COM-AI) for Public Cloud. COM-AI is a data-driven model based on Artificial Intelligence for cost Optimization. We input these various inputs in our proprietary AI Cost Transformer. Based on output, we show customers how to reduce costs and use newer technologies in the current cloud environment.

We have a multi-step process. We ingest all the current customer environment datasets and analyze that using ML. Then we use Natural Language Processing to understand all the relevant data for various probable technology roadmap and outcome for customers. Finally, we create a synthetic report based on Generative AI.

Pinnacle AI has designed COM-AI for AWS.

Some of the key features of COM-AI for AWS are:

Choosing right and efficient technology:

Using AI-ML we enable customers to make decisions based on the customer’s current technology landscape and matching it with new or other existing AWS and SaaS solutions

Some key AWS products that we consider are Amazon RDS, Amazon Redshift, Amazon ElastiCache, and Amazon OpenSearch Services

Matching Capacity with Demand:

Right-Sizing Resources: One of the fundamental principles of cost optimization in AWS is right-sizing your resources. This involves aligning your AWS infrastructure to match the actual requirements of your workloads. Overprovisioning resources can lead to unnecessary expenses.

Identify Amazon database and compute instances with low utilization and reduce cost by stopping or pausing.

Analyze Database usage and reduce cost by leveraging AutoScaling or on-demand.

Implement process to minimize resource wastage:

Identify Amazon resources with low-utilization and reduce cost by provisioning cheaper alternatives and then deleting them. Some of the focus areas are:

  • Storage( S3)
  • Network (Load Balancer, Data Egress, Elastic Cache,)
  • Compute ( EC2, Containers)
  • Database ( RDS, RedShift, )

Serverless Architecture and Managed Services:

Leveraging serverless architectures and AWS managed services can significantly reduce infrastructure costs. By using services such as AWS Lambda, Amazon DynamoDB, or AWS Glue, customer can eliminate the need for provisioning and managing underlying infrastructure