telegraf

I developed a Node.js microservice application that parses notifications from Telegram groups using a client. It includes a Telegram client management system, a PostgreSQL database with Prisma.io as the ORM, and deploys with PM2 for production. User authentication is done via OAuth with Google and GitHub. The application features a parsing service, a REST API with Swagger for keyword-based data retrieval, sorting, and filtering. Users can add custom groups, exclude specific ones, and manage their clients.

The project comprises a Node.js microservice for parsing Telegram notifications using a client and storing data in PostgreSQL via Prisma.io. PM2 is used for production deployment. OAuth integration with Google and GitHub handles user authentication. The application includes a parsing service, a REST API with Swagger, and a GraphQL-based administration panel for user interactions. Users can set keywords, retrieve messages, and manage their Telegram clients. Custom group addition and exclusion are supported.

Task: The project's objective is to enable users to retrieve relevant information by associating keywords with their profiles. Messages matching the keywords are retrieved from the database. Users can manage their clients, add custom groups for parsing, and exclude specific groups. The GraphQL-based administration panel serves as the REST API, facilitating user interactions and efficient management.

The project enhances productivity by providing personalized data retrieval, sorting, filtering, and customization options. The administration panel streamlines user interactions, making it easier to manage the application.

❄ Snowflake docker_log message parser for telegrafs execd processor, to extract values for further processing

Custom Telegraf job for collecting metrics from the Axion NAS within CarbonCollins - Cloud

Custom Telegraf job for collecting metrics from the Preon NAS within CarbonCollins - Cloud

Docker-compose stack w/ telegraf, influxdb, chronograf, kapacitor (TICK). Python3 scripts for data from Finnish Meteorological Institute and Helsinki public transport (HSL)