New Relic expanded its Instant Observability ecosystem of integrations, tools, and pre-built observability resources by nearly 20% in six months, and added enhancements to the product experience to empower every engineer to get started with observability in minutes.
As part of New Relic’s commitment to make observability an open, data-driven and daily engineering practice, the catalog now offers more than 470 integrations with cloud services, open source tools, and enterprise technologies, contributed and maintained by the community. This release features contributions from partners such as Akamai, Atlassian, CircleCI, Cloudflare, Netlify, PagerDuty, and Postman. Instant Observability is available as part of New Relic’s generous free pricing tier to help every engineer get started without talking to sales or providing a credit card.
New Relic introduced Instant Observability in October 2021 with a mission to make it easy for every engineer to get started with observability and data-driven engineering by codifying the collective experience of the world’s observability experts. Since then, Instant Observability has helped tens of thousands of engineers get started with observability, reporting improvements in uptime, reliability, and operational efficiency to deliver better customer experiences that fuel innovation and growth.
"We launched Instant Observability last year with a mission to make it easy for every engineer to get started with observability in five minutes. Since then, we've seen tremendous demand from customers to add observability into every stage of the software lifecycle," said Peter Pezaris, New Relic SVP, Strategy and User Experience. "We are thrilled to continue working with an industry-leading group of partners to extend New Relic's use cases and honor our commitment to help engineers share data in context and grow observability into an open, data-driven practice for all."
The latest enhancements to Instant Observability include a new guided user onboarding interface, support for a wider range of instrumentation methods, and a richer, more connected platform experience. As a result, engineers gain the flexibility to seamlessly instrument and monitor their stack, regardless of whether their applications are running on hosts, in Docker containers, or other environments. In addition, it’s even easier for engineers to get more value from their data, with connected instrumentation flows that automatically take users to the most relevant New Relic product experiences such as application management, log management, or infrastructure monitoring.
In addition to user experience improvements, Instant Observability has expanded its ecosystem of integrations to help extend the value of observability to teams who rely on many tools to monitor the health of their systems. With integrations made in partnership with leading technology companies, Instant Observability combats tool sprawl and data silos by empowering engineers with a single unified platform to monitor their entire stack, regardless of where their data comes from.
New partner quickstarts include:
- CI/CD and DevOps platforms that allow developers to gain visibility into the performance and health of their continuous integration and deployment pipelines, APIs, and web application development workflows. With these quickstarts, users can view New Relic observability data alongside their release pipelines to help users boost release velocity and quality. Key contributors include Atlassian, CircleCI, Postman, Netlify, Delphix, ReleaseIQ, and more.
- Content delivery network (CDN) platforms that help engineers improve service reliability, protect customer applications, and ensure optimal online experiences for their end users. With these quickstarts, users can get faster log delivery and eliminate cloud storage middleware costs by sending data directly to New Relic. They also provide insight into key metrics around web traffic such as saved bandwidth, alerts on cyberattacks, and slow loading pages. Key contributors include Cloudflare, Akamai, and Fastly.
- Artificial intelligence (AI) and machine learning (ML) platforms that allow engineers and data scientists to send model performance telemetry data into New Relic. With these quickstarts, data and DevOps teams have one place to monitor and visualize critical signals like recall, precision, and model accuracy alongside their apps and infrastructure. Key contributors include Algorithmia, Amazon SageMaker, Aporia, Comet, DagsHub, Mona Labs, Superwise, and Truera.
New Relic Instant Observability is generally available to all engineers as part of the New Relic platform.
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 ...