“Thoras essentially integrates alongside a cloud-based service and it consistently monitors the usage of that service,” company CEO Nilo Rahmani told TechCrunch.
They launched the company right after the first of the year and closed their pre-seed funding just a few weeks ago.
In terms of AI, the company currently uses more task-based machine learning than generative AI and large language models (LLMs).
“A lot of the problems that we’re facing are systemic issues, and there are a lot of numbers involved.
They see LLMs being more useful in troubleshooting after the fact at some point as they fill out the product.
Continuous profiling reared its head in a 2010 Google research paper called: Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers.
Polar Signals is the main developer behind Parca, a continuous profiling open source project which systematically tracks CPU and memory usage, creating profiles of this data to be queried over time.
“Our mission is to make the world’s datacenters ten times as efficient as they are today,” Polar Signals’ founder and CEO Frederic Branczyk told TechCrunch.
While cutting costs is one of the main benefits that Polar Signals promises, there are other benefits to the technology too — such as incident response efforts around a DDoS attack, for example, as Polar Signals can provide insights on the attack’s impact and identify which parts of a system are under stress.
At the time of writing, Polar Signals claims 11employees with experience at companies including AWS, Meta, Red Hat, and HashiCorp.
