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FinTech
Amazon EC2, Amazon ECS, AWS Lambda, AWS CloudFormation, AWS IAM
Reduced application latency and improved performance significantly.
The client is a technology-led non-banking financial fintech company in India. They offer consumer loans, business loans, corporate loans, and asset management services. Their focus is on accelerating India’s credit growth story through innovative solutions. They are backed by its Global MNC parent, committed to driving India’s credit growth. It is creating a Technology-Led Neo-Lending Conglomerate. Across its verticals, it provides tailored solutions to address the credit requirements of Individuals, SMEs, FinTechs, and NBFCs.
Cost Savings
AWS Lambda Functions Deployed
AWS CloudFormation Stacks Deployed
The client struggled with downtime and disruptions during migration, requiring phased, off-peak scheduling. Ensuring data integrity and performance through testing and updating IAM roles for security compliance is crucial. Managing costs and using automation tools like AWS CloudFormation simplifies the migration process.
• Established a CI/CD pipeline for automating updates on ECS and EC2.
• Automated resource creation and deployments with AWS CloudFormation to reduce manual work.
• Deployed 67 microservices using Ubuntu 22 CIS AMI.
• Deployed over 500 Lambda functions within VPCs for enhanced security.
• Optimized CloudFormation templates with a nested stack approach.
• Set up an EC2 Image Builder pipeline with Lambda for consistent AMI deployment.
• Used Spot Instances and CloudFormation to optimize costs for microservices.
• Deployed over 3,000 stacks for efficient and coordinated deployments.
Met Indian data compliance, cut latency, handled 1,300+ parameters, deployed 900+ Lambdas, saved 90% with Spot Instances, ensured backups, and migrated 3,000+ stacks.
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Ondemand Webinar
AWS
May 2024
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