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New Relic Announces Health Map and Other New Capabilities

New Relic unveiled new capabilities to the New Relic Digital Intelligence Platform that will enable enterprises to have greater visibility into the performance of their applications and the dynamic infrastructure that they rely on.

With the new Health Map, New Relic is bringing together the power of New Relic APM and New Relic Infrastructure to deliver a high-density view of applications and the infrastructure supporting those applications. By standardizing monitoring within a single cloud platform, customers will be able to work better together to pinpoint issues and optimize their dynamic cloud or hybrid environments, in particular those leveraging Amazon Web Services (AWS).

New Relic’s new Health Map feature brings together insights on application and infrastructure performance into a single, prioritized view. This unified view enables operations and DevOps teams to quickly understand if the source of a performance issue is from the application code or in the infrastructure layer.

New Relic Infrastructure now boasts 20 out-of-the-box integrations to AWS services, including new integrations for Amazon Kinesis Firehose, Amazon Elasticsearch Service, Amazon Route 53, Amazon EC2 Container Service, and Amazon EC2 Container Registry. In addition, Billing and Cost Management features have been introduced, which will enable customers to monitor costs in real time and plan for the future. The breadth of New Relic’s integrations enable enterprises to effectively migrate, optimize, and scale the usage and data flow within AWS.

Extend New Relic Infrastructure to monitor any custom host. With New Relic Infrastructure's new SDK, system administrators and DevOps teams can now standardize the monitoring of custom services alongside dynamic infrastructure instances within the context of the applications that they support. This visibility can lead to these teams improving their efficiency in diagnosing and resolving problems by viewing all the relevant information from a single source.

“Enterprises are rapidly moving to dynamic infrastructure and scalable architectures so that they can move at the speed of the business. Our customers want a single monitoring platform, and New Relic is delivering end-to-end visibility and metrics that operations teams need to understand the health of all their applications, down to any host in their environment,“ said Jim Gochee, Chief Product Officer, New Relic.

Health Map is expected to be available at the end of May 2017 for paying New Relic APM customers who have either purchased or are trialing New Relic Infrastructure.

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New Relic Announces Health Map and Other New Capabilities

New Relic unveiled new capabilities to the New Relic Digital Intelligence Platform that will enable enterprises to have greater visibility into the performance of their applications and the dynamic infrastructure that they rely on.

With the new Health Map, New Relic is bringing together the power of New Relic APM and New Relic Infrastructure to deliver a high-density view of applications and the infrastructure supporting those applications. By standardizing monitoring within a single cloud platform, customers will be able to work better together to pinpoint issues and optimize their dynamic cloud or hybrid environments, in particular those leveraging Amazon Web Services (AWS).

New Relic’s new Health Map feature brings together insights on application and infrastructure performance into a single, prioritized view. This unified view enables operations and DevOps teams to quickly understand if the source of a performance issue is from the application code or in the infrastructure layer.

New Relic Infrastructure now boasts 20 out-of-the-box integrations to AWS services, including new integrations for Amazon Kinesis Firehose, Amazon Elasticsearch Service, Amazon Route 53, Amazon EC2 Container Service, and Amazon EC2 Container Registry. In addition, Billing and Cost Management features have been introduced, which will enable customers to monitor costs in real time and plan for the future. The breadth of New Relic’s integrations enable enterprises to effectively migrate, optimize, and scale the usage and data flow within AWS.

Extend New Relic Infrastructure to monitor any custom host. With New Relic Infrastructure's new SDK, system administrators and DevOps teams can now standardize the monitoring of custom services alongside dynamic infrastructure instances within the context of the applications that they support. This visibility can lead to these teams improving their efficiency in diagnosing and resolving problems by viewing all the relevant information from a single source.

“Enterprises are rapidly moving to dynamic infrastructure and scalable architectures so that they can move at the speed of the business. Our customers want a single monitoring platform, and New Relic is delivering end-to-end visibility and metrics that operations teams need to understand the health of all their applications, down to any host in their environment,“ said Jim Gochee, Chief Product Officer, New Relic.

Health Map is expected to be available at the end of May 2017 for paying New Relic APM customers who have either purchased or are trialing New Relic Infrastructure.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...