New Relic Upgrades Serverless App Monitoring Offering

November 16, 2018

New Relic has made a number of enhancements for companies rapidly adopting modern software architectures, including serverless application monitoring. With today’s announcements, New Relic continues to help DevOps teams move fast, manage the performance of complex systems, and ultimately drive business value.

Serverless technologies, including Amazon Web Services (AWS) Lambda, allow modern teams to rapidly deploy new applications and updates into production. According to a recent survey by IDC[1], 85 percent of respondents are planning to add serverless architectures as part of their application modernization efforts. However, traditional systems and application metrics are not available or not relevant in serverless environments. Announced today, and available in private beta, New Relic’s serverless application monitoring provides enhanced visibility into AWS Lambda function invocations, event sources and connected services. Leveraging this powerful data, DevOps teams can more rapidly build and troubleshoot production-quality applications using AWS functions-as-a-service.

In addition to serverless application monitoring, New Relic announced the following new features:

  • Enhanced support for container orchestration: With support for Amazon Elastic Container Services for Kubernetes (Amazon EKS) version eks.2, New Relic is delivering one of the most comprehensive container monitoring solutions for customers running on AWS. The integration collects metrics that monitor data and metadata for nodes, namespaces, deployments, replicasets, pods, and containers, allowing DevOps teams to fully monitor both frontend and backend applications and hosts running in Kubernetes clusters.
  • New distributed tracing anomaly detection reduces mean time to resolution in complex environments: New Relic is launching a new set of Distributed Tracing capabilities to focus on anomalous spans that are the source of latency in a trace. Additional improvements include the ability to more easily find traces by grouping them by root service or root service entry point, quickly understand the flow of the call with a condensed trace view, and see what deployments have been made to dependent systems. With these new capabilities, DevOps teams can move more quickly from problem notification to resolution, even for more complex microservice architectures.
  • New on-host integrations: New Relic Infrastructure now offers out-of-the-box integrations for Apache Kafka, Couchbase, ElasticSearch, JMX, Microsoft SQL Server, MongoDB, Oracle DB, PostgreSQL and RabbitMQ. Customers can now bring a plethora of new services into a single view alongside the applications they support. As a result, DevOps teams can now unify these previously disparate systems’ data onto the New Relic platform to gain critical insights into the performance of modern environments.

“New Relic was designed to help engineers see aspects of the software they create that were previously invisible or hard to see. As enterprises make the technology and cultural shifts necessary to compete in an increasingly digital world, software infrastructure has become just as important as the custom application code these engineers write. To be successful in the modern software era, enterprises must have visibility and metrics on every software and service component in their stack, which then gives them the ability to pinpoint issues efficiently, optimize and scale effectively, and ultimately have confidence that they’re advancing the business’ objectives. With our continuously expanding set of capabilities, we can be customers’ single source for understanding the performance of their applications, infrastructure, and end user experience,” said Aaron Johnson, SVP, product management, New Relic.

“We're planning to run mission-critical workloads on AWS Lambda, and we're excited to try New Relic's solution in private beta. We think this will give us the confidence to build and operate these workloads, and make it so much easier to understand the root cause of issues and fix them as quickly as possible," said Michael Bond, Senior Software Engineer at

“We continue to see widespread interest in and adoption of serverless technologies like AWS Lambda by small and large businesses alike. But these organizations lack good visibility into the performance of their Lambda workloads, which slows down the transition from test to production deployments,” said Nancy Gohring, senior analyst, 451 Research. “Tools that can surface performance insight without adding latency to the Lambda deployment and that can deliver serverless insight in the context of related workloads running in other environments will resolve this challenge.”

“Enterprises are quickly getting educated on serverless technology, and recognizing that this option requires management and observability, said Stephen Elliot, Program Vice President, IDC. “Regardless of the underlying platform or cloud architecture, performance management is a ‘must have’ investment to reduce business risks, improve control, and maintain a great customer experience.”

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