New Relic signed a definitive agreement to acquire Pixie Labs, a next generation machine intelligence observability solution for developers using Kubernetes.
Pixie dramatically simplifies the process of troubleshooting and live debugging applications in Kubernetes environments by providing instant access to telemetry data without the need to manually add instrumentation to the code.
The anticipated addition of Pixie will expand New Relic’s opportunity to serve the rapidly growing Kubernetes market, and drive the acceleration of observability across organizations of every size.
Pixie Labs’ technology significantly simplifies observability for Kubernetes environments. With Pixie, telemetry data runs entirely inside Kubernetes at the edge. This first-of-its-kind approach provides telemetry to developers with lower overhead, latency, and costs. New Relic plans to integrate the best of Pixie use cases with New Relic One, where customers will gain access to powerful features, including advanced correlation and alerting with Applied Intelligence, advanced visualization and analytics with Full Stack Observability, and extended data retention and compliance through Telemetry Data Platform. Pixie’s technology will complement New Relic’s powerful Kubernetes observability features in New Relic One available today, including the Kubernetes Cluster Explorer.
More than 300 engineering teams are using the Pixie beta today at companies ranging from startups to enterprises running internet-scale Kubernetes clusters.
“At New Relic, we believe that every developer in the world should have observability as part of their toolkit, so they can easily visualize and troubleshoot their entire software stack,” said New Relic CEO and Founder Lew Cirne. “As Kubernetes rapidly becomes the default environment for deploying and managing software in the cloud, we're doubling down on our Kubernetes strategy with the acquisition of Pixie Labs. Our goal is to make Pixie and New Relic One ubiquitous to the millions of developers responsible for building and deploying applications in Kubernetes environments.”
“We founded Pixie Labs to build a magical developer experience that redefines how developers explore, monitor, secure, and manage their applications. And the team at New Relic shares our developer-first approach,” said Zain Asgar, Co-founder/CEO of Pixie Labs and an Adjunct Professor of Computer Science at Stanford University. “Joining forces with New Relic will enable us to scale the Pixie platform faster and accelerate our ability to deliver on that vision for developers.”
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
