Migration to Serverless Computing
Máté Módos
Cloud Infrastructure Architect
Software Engineer
Engineering Manager
Project Overview:
The project entailed a strategic shift from traditional server-based architectures to a serverless computing model for a mid-sized fintech company looking to reduce operational overhead and increase scalability. This transition aimed to leverage cloud services to automatically manage the scaling and provisioning of resources, enabling the company to focus more on core product development and less on infrastructure management.
Project Duration:
January 2023 - October 2023
Roles and Responsibilities:
Architectural Design and Planning:
Conducted a thorough analysis of the existing infrastructure and designed a roadmap for transitioning to a serverless architecture.
Selected appropriate cloud services (e.g., AWS Lambda, Amazon DynamoDB, API Gateway) that aligned with the company's operational requirements and business goals.
Developed prototypes to demonstrate the feasibility and benefits of serverless computing for key components of the existing system.
Engineering Management:
Led a specialized team of cloud engineers and DevOps experts to execute the migration strategy.
Coordinated with cross-departmental teams to ensure minimal disruption to ongoing operations and maintained a clear channel of communication regarding project progress.
Applied agile project management techniques to handle the iterative deployment of serverless functions and services.
Software Development:
Personally coded critical aspects of the serverless setup, particularly around deployment automation and event-driven data processing functions.
Ensured best practices were followed in the software development lifecycle, including code reviews, version control, and automated testing.
Created detailed documentation on new workflows and operational procedures post-migration.
Key Contributions and Achievements:
Successful Migration:
Led the successful migration of over 50 distinct services to serverless computing, achieving a reduction in infrastructure costs by 55%.
Scalability and Availability:
Engineered solutions that improved system scalability, handling up to 1,000,000 concurrent users without the need for manual intervention in scaling.
Operational Performance:
Reduced latency by 40% for end-user transactions by utilizing edge computing capabilities provided by the serverless framework.
Innovation and Modernization:
Pioneered a shift in the company culture to embrace cloud-native and serverless-first approaches for future development initiatives.
Resource Optimization:
Optimized resource utilization, eliminating idle server time, and aligning operational costs directly with actual usage.
Technologies Used:
AWS Lambda, Amazon API Gateway, Amazon DynamoDB (Serverless Services)
Amazon S3, AWS CloudFront (Storage and Content Delivery)
AWS CDK, AWS CodePipeline (Deployment and Operations)
Python (Function Development)
Amazon CloudWatch, AWS X-Ray (Monitoring and Tracing)
AWS CDK (Infrastructure as Code)
Conclusion:
The migration to serverless computing marked a pivotal transformation for the fintech company, directly aligning its operational capabilities with its ambitious growth targets. My multifaceted role in architectural design, team leadership, and hands-on software development was pivotal in the project’s on-time and under-budget completion, proving the value of serverless models in driving efficiency and innovation.
