Ayaba Abendong's Cloud Portfolio

Project 1: Serverless Clickstream Analytics Platform

Project Description: An architecture for a serverless data pipeline on AWS: The Architecture consists of an API Gateway and Kinesis Firehose ingesting data, flowing into an S3 bucket, triggering a Lambda function for transformation, with Athena and QuickSight for analysis and visualization.

My Role & Collaboration: I was the Lead Cloud Architect for this project. I worked closely with the data analytics and product teams to understand the data requirements and business goals for the restaurant website platform.

Project Outcome: The platform replaced manual data collection, providing the business with real-time, data-driven insights into customer behavior and menu performance. This enabled them to improve user experience and make informed decisions without managing any underlying infrastructure.

Project 2: InsurLink Hybrid Cloud Migration

Project Description: An architecture for a hybrid cloud setup with an on-premise data center connected to AWS via Direct Connect and Site-to-Site VPN. The diagram highlights Amazon ECS and ECS Anywhere for container management, and RDS for the migrated database.

My Role & Collaboration: As the Solution Architect, I designed the entire migration strategy. I collaborated with the client's infrastructure and security teams to ensure a seamless and secure transition from their on-premise environment to AWS.

Project Outcome: The project successfully enabled a phased, zero-refactor migration, ensuring 99.99% business continuity and fault tolerance. It established a centrally managed hybrid environment, improving disaster recovery capabilities and operational efficiency.

Project 3: Event-Driven Serverless Order Management System

Project Description: An architecture for a fully serverless, event-driven workflow on AWS. The flow starts with API Gateway, triggers AWS Lambda functions for each microservice (Order, Inventory, Payment), uses Step Functions for orchestration, SQS for decoupling and retries, DynamoDB for the order data, and CloudWatch for centralized monitoring and logging.

My Role & Collaboration: I was the Lead Cloud Architect for this modernization project. I collaborated closely with the client's development and operations teams to analyze the bottlenecks in their legacy monolith and design a new, decoupled architecture that aligned with their business goals for scalability and reliability.

Project Outcome: We successfully transformed a rigid, on-premise monolith into a highly scalable and resilient serverless system. This eliminated performance bottlenecks during peak loads, achieved 99.99% availability, and introduced built-in fault tolerance with retry mechanisms. The solution also reduced infrastructure costs through efficient, pay-per-use pricing and provided full operational visibility, drastically reducing issue resolution time.

Project 1: Serverless Clickstream Analytics Platform

Project Description: An architecture for a serverless data pipeline on AWS: The Architecture consists of an API Gateway and Kinesis Firehose ingesting data, flowing into an S3 bucket, triggering a Lambda function for transformation, with Athena and QuickSight for analysis and visualization.

My Role & Collaboration: I was the Lead Cloud Architect for this project. I worked closely with the data analytics and product teams to understand the data requirements and business goals for the restaurant website platform.

Project Outcome: The platform replaced manual data collection, providing the business with real-time, data-driven insights into customer behavior and menu performance. This enabled them to improve user experience and make informed decisions without managing any underlying infrastructure.

Architecture design for Capturing & Analyzing Clickstream Data for Restaurants