ECS Offers Customers a cloud management platform leveraging AWS ML for algorithmic cloud spend forecasting, predictive modeling, and anomaly detection
Customers require advanced prediction models in order to optimize their AWS usage and perform anomaly detection to determine unusual spend patterns.
In support of ECS’s AWS Premier Consulting, Audited MSP, and Channel Reseller capability, ECS developed a cloud automated management portal (CAMP) which processes thousands of billing records on a daily basis. We’ve designed CAMP to deliver advanced forecasting and prediction models for cloud usage, anomaly detection, and alerts based on a multi-dimensional analysis platform.
ECS delivers this solution using the following Amazon Web Services: AWS ML SageMaker, Athena, Elastic Load Balancer (ELB), Elastic Compute Cloud (EC2), Elastic Block Store (EBS), and Relational Database Service (RDS) for SQL Server, S3, Lambda and Route 53.
ECS’s CAMP solution leverages the AWS ML platform enabling customers to:
• Translate cloud data into knowledge and mission intelligence
• Provide a deeper understanding to facilitate better decision-making
• Enable advanced, predictive modeling and forecasting of an organization’s AWS usage while driving adoption through more clear understanding of spend patterns
• Improved anomaly detection accuracy and alerting based on a holistic enterprise view to optimize and automate governance policies and compliance