An accelerated Back-end RESTful API framework for questions and asnswers data, to enhance user experience for the Atelier e-commerce shop.
Accomplished using 4 AWS t2.micros instances
- Provided low latency requests (<100ms) with a 0.0% error rate under a 1000 rps over 1 minute requirement.
- Stress tested each endpoint of the questions and answers microservice and achieved...
- Used loader.io to identify bottlenecking
- Utilized NGINX for load balancing and caching
- To load on a localhost, you will need to create a '.env' file that contains the following:
PGUSER= <user>
PGPASSWORD= <password>
PGHOST=localhost
PGDATABASE= <database_name>
PGPORT=5432
- To load on a AWS instance, your '.env' file should contain the following:
AUTH_TOKEN= <GitHub Token>
PGUSER= <user>
PGPASSWORD= <password>
PGHOST= <URL>
PGDATABASE= <database_name>
PGPORT=5432