Experiences from building systems leveraging AI models. I encourage developers to explore AI tools and collaborate with each other to aid in improving productivity and learning. Effective AI integration requires understanding the technology, structuring tasks, and maintaining disciplined oversight for sustainable productivity gains.
Observations from my experience building koffset leveraging AI models. This project was built from scratch, with a goal of replicating metrics from other tools. The use of models was for exploring algorithms and design and flushing out aiding in the software development process.
I encourage developers to use tools that aid in their development process, and AI models are one of those tools.
A demonstration of leveraging a stream-to-table join in Kafka Streams.
Are you in need of a modern Kafka consumer group offset monitoring application? Look no further than Koffset!
Are you interested in running large language models (LLMs) on your laptop for local development?
Curious how LLMs can enhance Kafka Streams for state store analysis?
This walkthrough is for you.
Since Apache Druid 29, first and last aggregations for numerical values can be performed at ingestion.
This expands the use cases of roll-ups.
We’ll showcase an example and provide insights into additional use cases for Druid rollups.