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Overview

Solution Approach

Our solution architecture for optimizing AWS analytics services costs encompasses a range of key services. These include analytics services such as AWS Glue, Amazon EMR, Amazon Athena, Amazon Redshift, Amazon Kinesis, Data Lake implementations on S3, AWS Lake Formation, AWS Step Functions, Apache Airflow

Alongside these primary analytics services, we cover all the supplementary services that takes part in the solution architecture. This comprehensive set of services enables us to deliver a holistic cost saving opporutinty analysis and architecture review that addresses various aspects of analytics cost and performance optimization, from data storage and query performance to real-time data streaming, security, workflow orchestration, metadata management, monitoring.

Each engagement is tailored to the specific needs of the client, ensuring that cost optimization strategies align with their business goals and requirements.

Delivery Approach

Initial Assessment: Conduct an in-depth analysis of the client's existing AWS analytics infrastructure, architecture, and services usage.

Cost Optimization Plan: Develop a comprehensive cost optimization plan outlining specific recommendations and strategies tailored to the client's environment.

Implementation and Monitoring: Collaborate with the client's team to implement the recommended changes and continuously monitor the environment for further optimization opportunities.

Savings Calculation: Track and measure the actual cost savings achieved through the implemented optimizations, using AWS cost management tools and data analysis.

Billing Based on Savings: Clients are billed based on the quantified savings, ensuring they only pay for the realized cost reductions.

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Fulfillment method Professional Services

Pricing Information

This service is priced based on the scope of your request. Please contact seller for pricing details.

Support

Buyers can also request extensive support and on-going engagements covering;

Cost Tracking and Reporting: Set up regular cost tracking and reporting mechanisms to provide clients with insights into their AWS analytics spending. This can include generating monthly or quarterly reports that highlight cost-saving achievements, trends, and recommendations for further optimization.

Alerting and Anomaly Detection: Configure alerts and notifications based on predefined thresholds or anomalies in cost, performance, or resource utilization. This helps identify and address any sudden changes or potential cost overruns, ensuring timely action.

Regular Reviews and Optimization: Schedule periodic reviews with clients to assess their evolving analytics needs, evaluate new AWS services or feature releases, and identify additional cost-saving opportunities. Stay updated with industry best practices and AWS announcements to provide proactive recommendations for optimization.

Training and Knowledge Transfer: Conduct training sessions or workshops to empower clients with the knowledge and skills to monitor, manage, and optimize their AWS analytics services independently. Provide documentation, guidelines, and best practices to support their ongoing cost optimization efforts.