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New Relic Announces New Infrastructure Integrations

New Relic announced an expanded library of integrations with leading infrastructure components and New Relic Infrastructure to bring these services into a single view alongside the applications they support.

These new on host integrations — built and supported by New Relic — are with Apache, Cassandra, MySQL, NGINX Plus, RabbitMQ, Redis, and StatsD through an updated release of the New Relic Infrastructure SDK.

New Relic Infrastructure is designed to provide a complete view of the health and configuration changes for an enterprise’s entire host ecosystem across all environments—from their own data centers to public cloud services to hybrid cloud deployments. Additionally, because New Relic Infrastructure is part of a unified cloud monitoring platform, every infrastructure component and service can be analyzed with performance and health metrics for the applications they support to create alerts and be displayed in New Relic Insights dashboards.

New Relic Infrastructure now offers an even easier path for customers and partners to customize New Relic-built integrations or create their own integrations for any service or function they need to monitor. The New Relic Infrastructure SDK is designed to make development, customization, and deployment of an integration easy and offer the most flexibility for the developer. Within minutes, a New Relic Infrastructure customer can have real-time performance data from any service running on their hosts because the SDK is designed to automatically create all the files and folders required for the integration and offer a library of the most common functions to capture performance and health metrics.

“New Relic Infrastructure was designed to help enterprises make the technology and cultural shifts necessary to treat infrastructure resources the same way as the application code they support. To be successful in the DevOps era, enterprises must have visibility and metrics on every component to pinpoint issues efficiently, optimize and scale effectively, and ultimately have confidence they’re advancing the business’ objectives. With an expanded integration library and new SDK, our customers can make New Relic Infrastructure their single source for understanding their infrastructure performance,” said Ramon Guiu, Director, Product Management, New Relic.

New Relic Infrastructure customers paying at the Pro level can install any of the on host integrations or create their own custom integrations with the SDK at no additional charge.

Integrations for Cassandra, MySQL, NGINX Plus, and the latest version of the New Relic Infrastructure SDK are all now available.

Apache, Redis, RabbitMQ, and StatsD integrations will be generally available in the next few months.

The SDK and integrations are all available on GitHub.

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New Relic Announces New Infrastructure Integrations

New Relic announced an expanded library of integrations with leading infrastructure components and New Relic Infrastructure to bring these services into a single view alongside the applications they support.

These new on host integrations — built and supported by New Relic — are with Apache, Cassandra, MySQL, NGINX Plus, RabbitMQ, Redis, and StatsD through an updated release of the New Relic Infrastructure SDK.

New Relic Infrastructure is designed to provide a complete view of the health and configuration changes for an enterprise’s entire host ecosystem across all environments—from their own data centers to public cloud services to hybrid cloud deployments. Additionally, because New Relic Infrastructure is part of a unified cloud monitoring platform, every infrastructure component and service can be analyzed with performance and health metrics for the applications they support to create alerts and be displayed in New Relic Insights dashboards.

New Relic Infrastructure now offers an even easier path for customers and partners to customize New Relic-built integrations or create their own integrations for any service or function they need to monitor. The New Relic Infrastructure SDK is designed to make development, customization, and deployment of an integration easy and offer the most flexibility for the developer. Within minutes, a New Relic Infrastructure customer can have real-time performance data from any service running on their hosts because the SDK is designed to automatically create all the files and folders required for the integration and offer a library of the most common functions to capture performance and health metrics.

“New Relic Infrastructure was designed to help enterprises make the technology and cultural shifts necessary to treat infrastructure resources the same way as the application code they support. To be successful in the DevOps era, enterprises must have visibility and metrics on every component to pinpoint issues efficiently, optimize and scale effectively, and ultimately have confidence they’re advancing the business’ objectives. With an expanded integration library and new SDK, our customers can make New Relic Infrastructure their single source for understanding their infrastructure performance,” said Ramon Guiu, Director, Product Management, New Relic.

New Relic Infrastructure customers paying at the Pro level can install any of the on host integrations or create their own custom integrations with the SDK at no additional charge.

Integrations for Cassandra, MySQL, NGINX Plus, and the latest version of the New Relic Infrastructure SDK are all now available.

Apache, Redis, RabbitMQ, and StatsD integrations will be generally available in the next few months.

The SDK and integrations are all available on GitHub.

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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 ...