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Welcome

First of all, welcome to the world of SailfishAI - where you finally get the Root Cause Analysis without wasting engineering or product team member time doing the deep investigation

Long gone are the days of observability where you have to look into 10 platforms to find the answer. Stop searching and get software that works for you - built on an AI data stack that we developed.

What is Root Cause Analysis​

Root Cause Analysis Process Diagram

Root Cause Analysis is the process of determining what is causing the problem that is experienced in software. There are tools out there that are relatively simple that only look at the obvious things like Sentry - alerting you when an Exception or Error happens. The issue is that these tools give you a small view of what happened.

Observability Tools Just Don't Cut It​

Observability tools are falling behind because code growth is exploding thanks to LLM-powered engineering. It's becoming impossible to know everything that is generated and, as AI improves, it's only going to generate more code...and that's where system problems arise.

Observability is Too Complicated

For example, what happens when you have:

  • Multiple microservices running, but 1 wasn't yet upgraded during a rollout?
  • Data processing/ETL/ELT jobs that ran, affecting a user's data?
  • A container that is running out of memory and is in the process of being shut down?
  • Improperly-scoped resources that impact auto-scaling?
  • An issue in your UX flows that cause elements to be obstructed or that make actions hard to take?
  • Issues that are hard/impossible for engineers to reproduce?

In the past, you've had to go to multiple tools to even attempt to guess what the issue or possible fixes were. At SailfishAI, we want to simplify/eliminate this.