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SignalFx Joins The Cloud Native Computing Foundation
SignalFx announced it has joined the Cloud Native Computing Foundation (CNCF), continuing the company's commitment to open source integrations. Joining CNCF advances SignalFx's efforts to provide out-of-the-box monitoring capabilities for critical open source technologies in the cloud-native software stack.

Participating in the CNCF is a logical step for SignalFx. The company is part of the CNCF Cloud Native Landscape Project for Observability and Analysis, and has integrations with a number of the CNCF's most well-known projects, including Kubernetes and Prometheus.

"SignalFx's mission to help enterprises drive digital transformation by monitoring today's highly scalable cloud environments perfectly aligns with the Cloud Native Computing Foundation's mission to make cloud-native computing universal and sustainable," said Karthik Rau, co-founder and CEO of SignalFx. "We are committed to continuing to expand our integrations and partnerships with other industry leaders, and look forward to participating in the Foundation's activities to foster greater collaboration with industry partners for the mutual benefit of our customers."

SignalFx provides companies with a unified view of all layers of an application, from infrastructure to container to application to business process, and is the industry's only solution to deliver this view in real-time. The company currently integrates and monitors the environments of CNCF members AWS, Azure, Chef, Cisco, Couchbase, Docker, Google Cloud, Jenkins, Mesosphere, NGINX, Pivotal, Splunk and VMware, which is part of its broad portfolio of integrations across the dynamic cloud landscape.

SignalFx serves Fortune 500 customers across the financial services, media, telecommunications, retail, hi-tech, healthcare, manufacturing and consumer products industries. Notable customers include Acquia, Athenahealth, Kayak, Lululemon Athletica, Carbon Black, Hubspot, and Yelp, just to name a few.

Published Thursday, May 03, 2018 10:01 AM by David Marshall
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