Berlin-based Polar Signals, a company that offers continuous profiling products, announced on Tuesday, March 12, that it has secured an additional $6.8M (approximately €6.2M) in funding led by Spark Capital, bringing the total fund raised to $10.8M (approximately €9.8M).
The funding round also saw participation from GV, Lightspeed, Haystack, Lorimer, and an esteemed group of angel investors, including Guillermo Rauch, Julius Volz, Monica Sarbu, Jimmy Zelinskie, Nikhil Benesch, and Erik Bernhardsson.
Besides funding, the German company also announced the appointment of Frederic Branczyk, Natalie Vais, and Alex Polvi as an independent board member.
Additionally, the company has also introduced AI-driven Performance Optimisations, which enable customers to leverage AI to suggest improvements to source code directly.
“We’re excited to make the Alpha of AI-driven Performance Optimizations available to a set of select customers today! This is just the beginning of this feature, but we’ve been experimenting with this for some time and want to get it into the hands of our customers as early as possible and get feedback and improve it in the coming months,” adds Branczyk.
Polar Signals: Leading observability industry
Polar Signals was founded in 2020 by Frederic Branczyk, who was an early employee at CoreOS and RedHat, as well as, a prominent figure in the Prometheus and Kubernetes communities.
The German company is on a mission to transform the understanding and optimisation of high-performance systems
.Polar Signals focuses on “continuous profiling”.
Continuous profiling involves gathering application performance data in real time and providing it to developers for thorough analysis.
By capturing detailed profiles of running programs, Polar Signals’ platform allows engineers to understand resource usage in terms of function and line number.
This granularity of data is hard to achieve with traditional observability tools, however, Polar Signals utilises technologies such as eBPF to collect data continuously, with minimal overhead, and zero instrumentation.
The company’s flagship open-source product, Parca, has a simple deployment, no dependencies, and deep integration with Kubernetes.
Through continuous profiling, Polar Signals offers a new level of insight into system behaviour.
Polar Signals says every company building and operating software can benefit from deeper insights into CPU usage, memory allocations, and overall system performance.
Consequently, the company allows developers to pinpoint exactly what parts of their code contribute to what resource usage.
This not only facilitates cost optimisation but also improves latency, directly contributing to better user experiences.
Recently, California-based cloud company Vercel announced Polar Signals as their continuous profiling platform.
“At Vercel we now understand the impact of DDoS attacks better thanks to Polar Signals Cloud. We can immediately pinpoint which part of our systems are under stress during highly variable loads. I’ve been especially impressed with the product holding up under such intense situations, it doesn’t always happen when we try products!” – Casey Gowrie, Software Engineer at Vercel.
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