- Herald is an observability solution that allows software developers to conveniently collect and explore telemetry data, including logs, traces, and metrics, through a single, user-friendly interface- Engineered the automatic provisioning and deployment of a data pipeline for the collection, processing, storage, and visualization of logs, traces, and metrics data, saving developers hundreds of hours in troubleshooting/debugging time- Created CLI tool to facilitate set-up, configuration, deployment, and tear-down of the ELK stack—Elasticsearch, Logstash, and Kibana—on AWS, condensing a complex multi-application deployment into a few simple steps- Automated cloud deployment of multiple Elasticsearch and Logstash clusters, and a single node of Kibana using AWS CDK- Architected the generation and storage of certificates to ensure secure communication of pipeline components using TLS encryption- Containerized components of pipeline infrastructure with appropriate dependencies and runtime environments using AWS ECS- Engineered service discovery using AWS Cloud Map to ensure successful communication among infrastructure components- Implemented auto-scaling of Elasticsearch cluster based on a CPU-utilization target- Authored comprehensive case study (herald-app.github.io) discussing the use case, design decisions, and implementation challenges experienced when building Herald- Collaborated with a remote team of 4 developers across multiple timezones using agile workflow

A sample of the projects & technologies used during this time:- PanicBin: a real-time tool for receiving and monitoring webhooks (DigitalOcean Droplet, Express, Material UI, MongoDB, Nginx, Node.js, PM2, PostgreSQL, React)- BuyPal: an e-commerce shopping-cart app (Node.js, Express, MongoDB, React)- Taskify: productivity app for tracking and managing habits and tasks (Node.js, Express, JavaScript, Handlebars).