Pixie Moves the Entire Software Monitoring Stack – Data Collection, Compute and Consumption – to the Edge by Running Entirely Inside a Developer’s Kubernetes Platform
SAN FRANCISCO, Oct. 01, 2020 (GLOBE NEWSWIRE) — Today Pixie Labs emerged from stealth with its first product, Pixie. Pixie dramatically reduces the complexity and cost for developers to observe and troubleshoot their application’s performance. With Pixie, developers don’t need to change code, manually set up ad hoc dashboards or compromise on how much performance data they can observe. Early access customers range from early-stage startups to internet-scale streaming content teams who are all already running Pixie in their production Kubernetes environments. The product’s public beta starts today and will be showcased at Pixie Demo Hour on October 8: https://pixielabs.ai/events/pixieday.
Kelsey Hightower, Advisor to Pixie Labs, said: “All layers of software—application code, deployment infrastructure, network, OS, etc.—now expose APIs that allow us to treat infrastructure as data. Pixie helps us move to a world where we can freely access this data and focus on building data-driven workflows to observe, troubleshoot, secure and manage our applications.”
Having spent a decade building thinking machines, Pixie Labs’ founders Zain Asgar (CEO), an Adjunct Professor of Computer Science at Stanford University who was an engineering lead for Google AI, and Ishan Mukherjee (CPO), who led Apple’s Siri Knowledge Graph product team and was an early Amazon Robotics engineer, started Pixie Labs to empower developers with time-saving tools by intelligently augmenting their workflows.
Both had grown frustrated by how manual and inefficient it was to set-up, manage and use existing systems to monitor distributed software applications. The decade-old monitoring and observability platforms require months of painstaking set-up and hours of manual data wrangling to troubleshoot when core business driving applications are on fire.
“We thought a better data system can be built, and we envisioned a magical developer experience where they can get the data they need without having to change code or move data outside their environments,” said Zain Asgar, co-founder and CEO of Pixie Labs.
As Pixie runs entirely inside a developer’s own Kubernetes platform, development teams are extending their established in-house or managed SaaS monitoring footprints to get instant and automatic visibility inside their very own production environments.
“Developers are superheroes without the data superpowers they need. We’re building Pixie to fill that gap. Pixie’s adoption in real production environments from fast-growing startups to internet-scale companies is starting to validate our focus on delivering a consumer grade experience to developers which respects and optimizes for their time,” said Ishan Mukherjee, co-founder and CPO of Pixie Labs.
Early access customers on Pixie:
Pixie’s developer experience and customer adoption is driven by three fundamental technical breakthroughs:
Today Pixie Labs also announced $9.15 million in Series A funding led by Benchmark with participation from GV.
“Since I was a monitoring product manager 20 years ago, the challenge with monitoring has been the same. First is how to get people to do the tedious task of instrumenting ahead of time. Second is how do people find signals in the overwhelming majority of monitoring data which is worthless,” said Eric Vishria, General Partner at Benchmark. “By using huge innovations in Kubernetes and eBPF and a clever new architecture which turns conventional monitoring approaches on their head, Pixie Labs has solved the two core challenges, giving people in-depth visibility with one line of code and only keeping the interesting data. I’m really excited about what becomes possible with Pixie.”
Additional Resources
About Pixie Labs
Pixie Labs’ mission is to build machine intelligence tools to empower developers to engineer the future. Pixie, its flagship product, helps developers explore, monitor, secure and manage their applications without the need to change code, transfer data outside their Kubernetes platform or be constrained to manual user interfaces. The company is founded by AI/ML veterans and headquartered in San Francisco. The company is backed by Benchmark and GV. For more information, follow Pixie Labs @px_run or visit https://pixielabs.ai.
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