README.md

alert-monitor

The central alert system which captures events generated by any system or user triggered, and raise an alert according to alert configuration

Problem Statement

• problem statement is present under Alert Monitor

Run

make local  ## for local setup (db)
make all ## to start the server
docker logs alert-monitor -f  ## for logs

Testing

• postman collection is present under /docs/postman
• check logs through the cmd docker logs alert-monitor -f

Solution:

At a high level, the service operates as follows:

Event Processing:

• Whenever a new event is received, the service evaluates the alert configuration associated with that event.

Asynchronous Notifications:

• If an alert condition is met, the service dispatches notifications to the relevant dispatchers asynchronously. This approach leverages goroutines, which are lightweight and efficient, allowing the system to handle a high volume of dispatches concurrently.

Scalability Enhancements:

• For improved scalability, integrating a messaging queue is recommended. This setup allows the service to handle high burst loads by queuing incoming events.
• Additionally, using an OLAP database like ClickHouse can enhance performance. Unlike traditional relational databases, OLAP systems are optimized for high-speed aggregation queries, making them more suitable for quickly retrieving event counts and performing complex analyses and there isn't any usecase to maintain relational among the data

Current Implementation:

• To meet the project's requirements and constraints within a short timeframe, the current implementation uses a RESTful API with PostgreSQL. While this approach is straightforward and effective for the task at hand, future improvements could include adopting a messaging queue and OLAP database to handle larger scales and more complex scenarios efficiently.

Note: Here internal_ext directory is used instead of internal as internal code will be hidden by github.