SignalFx announced new integrations with Google Cloud services for cloud-native applications: Google Cloud Functions, Istio on GKE, and Knative.
These new capabilities represent another step forward in SignalFx’s strategy to enable complete observability by collecting and analyzing in real-time metrics, traces, and events from popular cloud services. SignalFx’s collection strategy fully supports open standards-based instrumentation such as collectd, statsd, Prometheus, OpenTracing, OpenCensus, and Zipkin. Along with agent-based auto-instrumentation options, SignalFx provides its customers with ultimate flexibility to speed their time to value.
Companies are turning to cloud-native technologies, microservices, and DevOps to boost application development, resiliency, and agility. Google is making key contributions to open-source projects such as Kubernetes, Knative, and Istio, which is helping to remove barriers to adopting new Google Cloud managed services. SignalFx easily integrates with Google Cloud services, allowing DevOps and SRE teams to gain complete visibility.
Unlike traditional monitoring tools that are incapable of addressing the new operational complexities organizations encounter when moving to a cloud-native stack, SignalFx has been designed from the ground up to handle the highly dynamic, short-lived nature of cloud-native environments such as Google Cloud Functions, containerized microservices, and Knative workloads.
“Our joint customers want a solution that removes the complexity of gaining observability into cloud-native infrastructure, microservices, and digital business performance,” said Arijit Mukherji, CTO, SignalFx. “Customers want to work with a vendor that innovates at the pace of Google Cloud so they can leverage the latest technology. SignalFx’s real-time observability platform enables our customers to realize the full potential of Google Cloud services.”
“As our customers expand their adoption of cloud services, SignalFx provides the flexibility to consume its real-time observability platform from multiple locations and cloud providers,” said Leonid Igolnik, EVP, Engineering, SignalFx. “Additionally, as part of the rapid expansion of our own infrastructure across multiple geographies and clouds, SignalFx now includes a Google Cloud region.”
Developing and operating modern digital services requires a new approach to monitoring. The pressure to maximize developer productivity and to constantly improve customer experience requires a platform capable of providing accurate insights in real-time with minimal operator intervention. SignalFx accomplishes this thanks to its unique Streaming Analytics architecture that leverages patented data science to intelligently analyze metrics and traces in real-time without the latency of traditional batch architectures. To ensure the most accurate characterization of application performance, SignalFx’s NoSample distributed tracing solution analyzes every transaction across microservices – not just a small random sample – thereby intelligently capturing all anomalies - even the P99 outliers.
“Google Cloud services enable developers to focus on what they care most about - delivering the highest quality code fast,” said Igolnik. “Our integrations with Google Cloud enable our customers to successfully monitor and troubleshoot microservices and serverless applications in real-time -- at scale.”
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