A Docker container for quickly standing up a Splunk instance, complete with Eventgen and Splunk's Machine Learning app for testing and training purposes.
A discussion post on Reddit's LocalLLaMA subreddit about logging the output of running models and monitoring performance, specifically for debugging errors, warnings, and performance analysis. The post also mentions the need for flags to output logs as flat files, GPU metrics (GPU utilization, RAM usage, TensorCore usage, etc.) for troubleshooting and analytics.
An in-process analytics database, DuckDB can work with surprisingly large data sets without having to maintain a distributed multiserver system. Best of all? You can analyze data directly from your Python app.
Hallux.ai provides open-source solutions leveraging Large Language Models (LLMs) to streamline operations and enhance productivity for Production Engineers, SRE, and DevOps. Offering cutting-edge CLI tools for Linux and MacOS, they automate workflows, accelerate root cause analysis, empower self-sufficiency, and optimize daily tasks.
