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New Relic Adds APM Support for AWS Lambda

New Relic announced a number of innovations and enhancements for companies rapidly adopting modern software architectures, including serverless application monitoring.

Serverless technologies, including Amazon Web Services (AWS) Lambda, allow modern teams to rapidly deploy new applications and updates into production. 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.

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New Relic Adds APM Support for AWS Lambda

New Relic announced a number of innovations and enhancements for companies rapidly adopting modern software architectures, including serverless application monitoring.

Serverless technologies, including Amazon Web Services (AWS) Lambda, allow modern teams to rapidly deploy new applications and updates into production. 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.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...