Case Study

Enhancing EdTech Cloud Performance with Cost Optimization and Proactive Operations

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Industry 

EdTech

Expertise 

Amazon VPC, Amazon EC2, AWS Config, Amazon CloudWatch, Amazon SNS

Offerings/solutions 

Smarter, secure, and scalable cloud operations with streamlined management

About the Client

Rocket Learning is transforming early childhood education for 3–6-year-olds in India, reaching 3 million children and 200,000 Anganwadi workers across 140 districts. Partnering with government bodies, they aim to impact 50 million underserved children by 2030. With a 30% learning gain and 70% school readiness, they are turning Anganwadis into vibrant learning hubs through strong educator and parent engagement.

Highlights

25–30%

Cost Reduction

24x7

Improved Operational Efficiency

Scalable and Secure Cloud Environment

Auto-scaling

The Challenge

Rocket Learning faced high operational costs from over-provisioned and underutilized AWS resources. Limited in-house cloud expertise and reliance on manual processes resulted in frequent delays, misconfigurations, and slow incident resolution. Additionally, the absence of real-time visibility into infrastructure health heightened the risk of performance issues, security threats, and unexpected cost spikes.

Solutions

• Delivered service assurance via Cloud Command Centre with a hybrid resource model.
• Rightsized Amazon EC2 and storage and removed underutilized resources to cut costs.
• Migrated to Graviton instances and gp3 storage, improving performance and reducing spend.
• Used AWS Cost Explorer, Trusted Advisor, and deleted unused assets for optimization.
• Leveraged Compute and Reserved Instance Plans for long-term savings.
• Enabled Auto Scaling for dynamic resource allocation based on demand.
• Automated patching and operations via AWS Systems Manager.
• Centralized monitoring with Amazon CloudWatch, AWS CloudTrail, and Amazon SNS alerts.
• Enforced AWS IAM policies, MFA, and compliance tracking with AWS Config.

The Results

Rocket Learning cut AWS costs by up to 30% through resource optimization and automation, while enhancing performance, security, and real-time monitoring.

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