New Relic introduced New Relic One, an extension of the New Relic platform that helps DevOps teams with complex environments quickly find, visualize, and understand their data so they can take immediate action, deliver better digital experiences to customers, and drive revenue.
With New Relic One, enterprises now have the ability to connect their teams to the real-time health of their customer experience, so they can accelerate their digital business.
“DevOps teams continue to struggle with a fragmented view of their complex environments due to data about customer experiences residing in multiple systems, dashboards, and organizations. New Relic One is the industry’s first entity-centric observability platform, unifying all of a customer's data across multiple accounts so teams can see a pan-enterprise view of all of the relationships and dependencies,” said Lew Cirne, CEO and founder of New Relic. “New Relic One solves an important set of problems for our customers today, and it’s also our platform for delivering the next decade of innovation to our customers. We’re just getting started on our mission to help companies deliver more perfect software faster with New Relic One.”
New Relic One is purpose-built to transform how DevOps teams manage the performance of their digital systems. New Relic One unifies all of a customer's data across multiple accounts so each team can see a pan-enterprise, shared view of everything they instrument. In addition to seeing all their data in one place, New Relic One also empowers teams to quickly drill down into the services they are responsible for managing.
New Relic One treats everything that needs to be instrumented as an “entity” and indexes entities to track their relationships and dependencies to each other so teams have context in addition to metrics. New Relic defines entities as anything that needs to be instrumented for the success of digital business, including a microservice, mobile app, Kubernetes cluster or Lambda function to name a few. An entity emits data, and that data provides context -- including upstream and downstream dependencies -- about the internal state of the entity. During critical moments, it’s no longer enough for teams to measure metrics. Teams also need to quickly understand the relationships between entities and their interdependencies, so they can pinpoint issues faster and deliver better customer experiences. Unlike the fragmented tools that companies use today, New Relic One and its entity-centric approach to observability provides a clear, connected view of all systems, teams, and technology across a single customer’s environment.
New Relic One delivers:
- A unified, pan-enterprise view of complex environments -- New Relic One introduces new cross-account Service Maps that can automatically visualize up- and down-stream dependencies of entities, making it easy to quickly identify the root cause when troubleshooting an incident.
- A connected search and discovery platform -- New Relic One provides new global search and universal tag filtering, so teams can quickly and easily find entities across their enterprise.
- Easy-to-create, powerful dashboards -- New Relic One introduces new and improved dashboarding capabilities, enabling users to quickly create information-rich, custom dashboards that connect technical efforts and business impact. A brand new feature called chart builder makes it easy to create powerful queries with a point-and-click curated tool, complementing New Relic Query Language (NRQL). Customers’ existing dashboards in New Relic Insights will automatically appear in New Relic One for viewing and editing.
- Programmability for creating business-specific views -- New Relic One introduces the ability to quickly extend the visualizations for business- and domain-specific needs. For example, it is easy to combine store point-of-sale system data with real-time telemetry, all overlaid on a map. Operations teams can see a bird’s-eye view of their store performance across a geographic area, and they can also drill down to see the performance of a specific store that’s giving off an alert. With programmability, New Relic One can be embedded into managing the performance of an enterprise’s business.
- Unified user experience and global home page -- New Relic One delivers a new home page experience, empowering customers to see all of their performance data in one place. New Relic One sits above the existing New Relic platform of products, where users can continue to quickly zero in on problem areas for deeper exploration.
New Relic One is the home for New Relic’s latest innovations, including:
- Monitoring for AWS Lambda -- delivers the ability to monitor, visualize, troubleshoot, and alert on Lambda functions. Pro customers can now monitor Lambda performance in aggregate, or drill down into individual Lambda invocations to see traces, errors, end-to-end traces, and other troubleshooting information.
- Kubernetes cluster explorer -- provides a multi-dimensional representation of a Kubernetes cluster that allows teams to drill down into Kubernetes data and metadata in a high-fidelity, curated UI that simplifies complex environments. This existing feature is now available in the New Relic One interface.
- Distributed tracing global search -- provides a simple yet potent tool for finding traces using custom attributes or tags. As a result, teams can now work faster to solve performance issues in distributed software environments.
New Relic also announced that it plans to deliver log management and AIOps solutions in New Relic One by the end of the fiscal year.
New Relic One will go live on Wednesday, May 15, 2019 to Pro subscribers for no additional cost. Monitoring for AWS Lambda support is now generally available for Pro customers via the New Relic One interface at no charge for a limited time and in accordance with the product documentation. Kubernetes cluster explorer and distributed tracing global search are generally available for Pro customers. Additional solutions, including log management and AIOps and additional programmability features are expected to be delivered by the end of New Relic’s fiscal year.
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 ...