AWS Serverless Data Platforms: Calyza Tech’s Complete Guide
Serverless computing frees developers and data engineers from server management, letting AWS handle scaling and infrastructure. Calyza Tech harnesses this power across Agentic AI, Data Analytics, Modernization, DevOps, and Professional Services for innovative cloud solutions
What is Serverless?
Serverless shifts server ops to providers like AWS, with auto-provisioning and pay-per-use billing via Lambda. No idle costs make it ideal for data platforms handling ingestion to analysis.
Core Components
Cuild with AWS managed services scross key layers.
Component | AWS Services | Primary Use Case |
Ingestion | Kinesis Firehose, API Gateway, Lambda, Glue | Real-time streams, APIs, small files to S3 |
Storage | Amazon S3 (with Aurora/DynamoDB optional) | Raw/processed data lakes |
Catalog | Glue Data Catalog & Crawlers | Metadata indexing and discovery |
Transformation | Glue ETL, Lambda | Big data Spark jobs or small batches |
Analysis | Athena, Kinesis Analytics, QuickSight, SageMaker | SQL queries, streaming, BI/ML |
Orchestration | Step Functions, Glue Workflows | ETL pipelines and dependencies |
Servise Highlight
Ingestion: Firehose for streams; API Gateway + Lambda for APIs; Glue for broad sources.
Storage: S3 excels in scalability and durability.
Catalog/Transform: Glue crawlers and Spark ETL for big data; Lambda for small jobs.
Analysis/Orchestration: Athena for SQL on S3; Step Functions for workflows.
Benefits and Trade-offs
Cuts setup to days, lowers ops costs for variable loads—but watch volume spikes, per-unit pricing, and lock-in. Powers Calyza Tech’s AI, analytics, and modernization projects.