Show HN: Trench – Open-source analytics infrastructure
📰 Hacker News · pancomplex
Learn how to use Trench, an open-source analytics infrastructure, to track events and page views, and identify users, built on top of ClickHouse and Kafka
Action Steps
- Deploy Trench using the single Docker image
- Configure ClickHouse and Kafka for event tracking
- Integrate Trench with your application to track page views and identify users
- Monitor and analyze event data using Trench's analytics capabilities
- Optimize Trench for performance and scalability as your application grows
Who Needs to Know This
Data engineers, product managers, and software engineers can benefit from using Trench to scale their analytics infrastructure and improve performance
Key Insight
💡 Trench provides a scalable and performant solution for analytics infrastructure, overcoming the limitations of traditional relational databases
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📊 Introducing Trench, open-source analytics infrastructure for tracking events and page views! 🚀 Built on ClickHouse and Kafka
Key Takeaways
Learn how to use Trench, an open-source analytics infrastructure, to track events and page views, and identify users, built on top of ClickHouse and Kafka
Full Article
Hey HN! I want to share a new open source project I've been working on called Trench ( https://trench.dev ). It's open source analytics infrastructure for tracking events, page views, and identifying users, and it's built on top of ClickHouse and Kafka. https://github.com/frigadehq/trench I built Trench because the Postgres table we used for tracking events at our startup ( http://frigade.com/ ) was getting expensive and becoming a performance bottleneck as we scaled to millions of end users. Many companies run into the same problem as us (e.g. Stripe, Heroku: https://brandur.org/fragments/events ). They often start by adding a basic events table to their relational database, which works at first, but can become an issue as the application scales. It’s usually the biggest table in the database, the slowest one to query, and the longest one to back up. With Trench, we’ve put together a single Docker image th
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