Grafana Labs acquired Pyroscope, the company that created the open source continuous profiling project of the same name.
With this acquisition, Grafana Phlare, the open source continuous profiling database that Grafana Labs launched last year, and the Pyroscope project will be merged under the new name Grafana Pyroscope.
Continuous profiling has been dubbed the fourth pillar of observability (after metrics, logs, and traces). It offers developers a deeper view of resource usage of their code, allowing them to understand their application performance and optimize their infrastructure spend.
The new Grafana Pyroscope will natively integrate with Grafana, making it possible for developers to visualize their profiling data and correlate it with their metrics, logs, and traces to get a comprehensive view of their entire stack. Leveraging Grafana Pyroscope, Grafana Labs also plans to add profiling capabilities to the fully managed Grafana Cloud observability platform, which already brings together metrics, logs, and traces with Grafana visualizations.
Founded by Ryan Perry and Dmitry Filimonov in 2021, Pyroscope was backed by Y Combinator. In addition to the open source project, Pyroscope also offers a Pyroscope Cloud product.
“We share with Grafana Labs strong roots in open source and a belief that the developer experience is essential for helping engineering teams build, maintain, and operate great software,” said Ryan Perry, co-founder and CEO of Pyroscope. “We’re excited to bring our expertise and collaborate with the team.”
“We’ve admired the work that the Pyroscope team has done, and feel that the combination of Pyroscope, Phlare, and Grafana will really help bring continuous profiling to the masses,” said Tom Wilkie, CTO at Grafana Labs. “They’ve built a great community around continuous profiling, and we’re looking forward to working with both the team and the community to advance the state of the art in profiling technology.”
The Latest
Incident management processes are not keeping pace with the demands of modern operations teams, failing to meet the needs of SREs as well as platform and ops teams. Results from the State of DevOps Automation and AI Survey, commissioned by Transposit, point to an incident management paradox. Despite nearly 60% of ITOps and DevOps professionals reporting they have a defined incident management process that's fully documented in one place and over 70% saying they have a level of automation that meets their needs, teams are unable to quickly resolve incidents ...
Today, in the world of enterprise technology, the challenges posed by legacy Virtual Desktop Infrastructure (VDI) systems have long been a source of concern for IT departments. In many instances, this promising solution has become an organizational burden, hindering progress, depleting resources, and taking a psychological and operational toll on employees ...
Within retail organizations across the world, IT teams will be bracing themselves for a hectic holiday season ... While this is an exciting opportunity for retailers to boost sales, it also intensifies severe risk. Any application performance slipup will cause consumers to turn their back on brands, possibly forever. Online shoppers will be completely unforgiving to any retailer who doesn't deliver a seamless digital experience ...
Black Friday is a time when consumers can cash in on some of the biggest deals retailers offer all year long ... Nearly two-thirds of consumers utilize a retailer's web and mobile app for holiday shopping, raising the stakes for competitors to provide the best online experience to retain customer loyalty. Perforce's 2023 Black Friday survey sheds light on consumers' expectations this time of year and how developers can properly prepare their applications for increased online traffic ...
This holiday shopping season, the stakes for online retailers couldn't be higher ... Even an hour or two of downtime for a digital storefront during this critical period can cost millions in lost revenue and has the potential to damage brand credibility. Savvy retailers are increasingly investing in observability to help ensure a seamless, omnichannel customer experience. Just ahead of the holiday season, New Relic released its State of Observability for Retail report, which offers insight and analysis on the adoption and business value of observability for the global retail/consumer industry ...
As organizations struggle to find and retain the talent they need to manage complex cloud implementations, many are leaning toward hybrid cloud as a solution ... While it's true that using the cloud is not a "one size fits all" proposition, it is clear that both large and small companies prefer a hybrid cloud model ...
In the same way a city is a sum of its districts and neighborhoods, complex IT systems are made of many components that continually interact. Observability requires a comprehensive and connected view of all aspects of the system, including even some that don't directly relate to its technological innards ...
Multicasting in this context refers to the process of directing data streams to two or more destinations. This might look like sending the same telemetry data to both an on-premises storage system and a cloud-based observability platform concurrently. The two principal benefits of this strategy are cost savings and service redundancy ...
In today's rapidly evolving business environment, Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) are grappling with the challenge of regaining control over their IT roadmap. The constant evolution and introduction of new technology releases, combined with the pressure to deliver innovation on shrinking budgets, has added layers of complexity for executives who must transform the perception of the role of the IT leader from cost managers and maintainers to strategic enablers of growth and profitability ...
Artificial intelligence (AI) has saturated the conversation around technology as compelling new tools like ChatGPT produce headlines every day. Enterprise leaders have correctly identified the potential of AI — and its many tributary technologies — to generate new efficiencies at scale, particularly in the cloud era. But as we now know, these technologies are rarely plug-and-play, for reasons both technical and human ...