New Relic announced new capabilities and features across the New Relic Software Analytics Cloud which have been designed to help companies build and run better software.
These updates to the New Relic cloud-based platform and products (New Relic APM, New Relic Synthetics, and New Relic Mobile) aim to help developers and IT operations teams better understand the performance of their applications and underlying services, be more responsive to and anticipate issues, and be more agile to deliver new functionality.
“Software powers business, so we see it as critical for every company to have visibility and ask questions about the health of their business in real-time. These updates to New Relic expand the platform’s analytics capabilities and aim to remove the friction associated with advanced performance analysis. They also enhance the extensibility of the platform through open APIs,” said Jim Gochee, Chief Product Officer, New Relic. “We’re also thrilled to announce new capabilities for our APM, Synthetics, and Mobile products that we believe will help our customers be more effective building and operating their digital initiatives.”
New capabilities across the integrated products and platform of the New Relic Software Analytics Cloud include:
● MongoDB Support. New Relic now supports and has been MongoDB Enterprise certified for Ruby, with other language agents expected to follow, for MongoDB’s most recent official drivers and new APM API. The MongoDB integration with New Relic, published and supported by MongoDB, sends performance data to both a pre-configured New Relic Plugins dashboard, and to New Relic Insights for more flexible analysis, extending the benefits of software analytics to database monitoring.
● New Alerts API. DevOps teams will be able to better integrate New Relic Alerts configuration into their continuous integration toolchain, such as Puppet and Chef. For example, alert policies can be created or updated as new application instances and servers are deployed or terminated. Public beta opens today for this new Alerts API.
● API Explorer. Bringing together all of New Relic’s APIs into one consolidated location, API Explorer is designed to bring greater efficiency for DevOps and operations teams implementing increased automation in their software management.
● Admin User's API keys. Teams now have the option to issue separate API credentials to each New Relic account administrator, bringing improved control over usage of the New Relic API for metric data queries, alerting configurations, and more.
New Relic APM:
● Asynchronous Framework Support. Customers utilizing New Relic's Java agent can now visualize asynchronous activity for Play 2.4, core Akka, Scala, Netty, and AsyncHttpClient. Updates to the New Relic APM interface now separate the total amount of activity, which may be running concurrently, distinct from the response time. This is designed to let customers gain more insight to effectively manage and optimize concurrent activity within their application. This capability is now generally available.
New Relic Synthetics:
● Private Locations. New Relic Synthetics now offers Private Locations, enabling you to set up synthetic monitors in any location. A VMware virtual appliance, Private Locations lets you run synthetic monitoring scripts to continually track an application’s performance within any critical market, even if no actual users are accessing that application.
● New Relic Synthetics Mobile App. New Relic Synthetics is now included in New Relic’s iOS and Android applications. Because operations teams often use synthetic monitoring to address the “3 a.m. problem”—detecting outages and application performance at any hour so issues can be discovered and resolved ahead of peak usage hours—mobile access to this data can be helpful for system administrators who need to troubleshoot while away from the office.
New Relic Mobile:
● Version Trends. Opening in private beta, New Relic Mobile will enable mobile teams to benchmark their application’s user engagement and overall performance across versions, to help them better understand the effectiveness of each release and inform future development efforts.
All New Relic updates above are generally available beginning today to customers, with the exceptions of:
● MongoDB plugin, which is expected to be released into private beta shortly.
● New Relic Alerts API, available in public beta.
● New Relic Synthetics Private Locations is generally available to New Relic Synthetics customers with free promotional pricing until February 1, 2016.
● New Relic Mobile Version Trends is available in private beta.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.