hiq VS robusta

HiQ(https://github.com/oracle-samples/hiq) is a declarative, non-intrusive, dynamic and transparent tracking system for both monolithic application and distributed system. It brings the runtime information tracking and optimization to a new level without compromising with speed and system performance, or hiding any tracking overhead information. HiQ applies for both I/O bound and CPU bound applications. In addition to latency tracking, HiQ provides memory, disk I/O and Network I/O tracking out of the box. The output can be saved in form of normal line by line log file, or HiQ tree, or span graph.

HiQ(https://github.com/oracle-samples/hiq) is a declarative, non-intrusive, dynamic and transparent tracking system for both monolithic application and distributed system. It brings the runtime information tracking and optimization to a new level without compromising with speed and system performance, or hiding any tracking overhead information. HiQ applies for both I/O bound and CPU bound applications.

To put one more option out there, we use Hikaru (https://pypi.org/project/hikaru/) in Robusta.dev (https://github.com/robusta-dev/robusta) and have been pretty happy with it. Example code below:

  with Pod().read(name='thename', namespace='the-namespace') as p:

Open Source alternative based on Prometheus

I'm from the Robusta team (https://github.com/robusta-dev/robusta) which bursts upwards towards the end. Happy to answer any questions!

The guys at Robusta, added it into thier slack so when alerts pop of issues in k8s, chatgpt can be used to investigate and offer options to check and potentially solutions. Next phase is probably to let it also apply it :)

It's no replacement for learning how things work, but we're trying to automate common troubleshooting cases with Robusta. https://github.com/robusta-dev/robusta

https://docs.robusta.dev/master/ https://github.com/robusta-dev/robusta

This is the sort of thing we built Robusta for: https://github.com/robusta-dev/robusta