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New Relic Announces Data Plus

New Relic announced a new Data Plus offering to give engineering teams of all sizes access to industry-leading performance, scale, and governance capabilities as their observability practices mature.

The New Relic Data Plus offering makes capabilities previously only deployed within large scale enterprise environments accessible to every engineering team to help scale their observability practices. These additional capabilities include extended data retention, high performance querying, FedRAMP and HIPAA compliance, enhanced data exports, and more. Starting June 1, 2022, customers can access Data Plus at a simple, predictable, and affordable list price.

New Relic Data Plus offers simple and affordable per-GB pricing by combining our industry-leading telemetry data platform capabilities with powerful security, scale, and performance engineers can trust.

“Our mission is to help every engineer do their best work based on data, not opinions. As more teams integrate observability into their daily practices, we have received widespread feedback from engineering and operations leaders that they need enterprise scale performance and governance to scale observability across their organizations,” said Bill Staples, CEO, New Relic. “With New Relic Data Plus, we are combining the most advanced capabilities, previously only available to our largest enterprise customers, to teams of all sizes at one simple, predictable, and affordable price per gigabyte.”

New Relic Data Plus includes:

- 90 days extended retention over current defaults: Instead of paying individual premiums for data indexing and retention of each data source, customers will be able to choose which data they want stored longer in New Relic without increasing their monthly costs.

- 3x the max query limit and 10x the max duration per query: Engineers can analyze large data volumes faster, with the ability to inspect up to one trillion data points per 30 minutes and 150 billion data points per minute, compared to 300 billion data points per 30 minutes and 50 billion data points per minute in the current data offering. In addition, New Relic Data Plus customers benefit from an increased max query duration of up to 10 minutes, versus 60 seconds in the existing data plan.

- FedRAMP and HIPAA compliance: New Relic Data Plus provides options for customers in highly regulated sectors to enable security configurations required for FedRAMP and HIPAA compliance.

- Logs obfuscation: Engineers can track logs obfuscation rules directly in the log management UI and create anonymous identifiers for sensitive log data such as personally identifiable information (PII), access tokens, and other private or regulated data.

- Enhanced streaming and historical data export (coming soon): Ability to export New Relic data to external destinations for historical analysis and modeling, long-term storage, and integration with other data analytics platforms.

Beginning June 1, 2022, New Relic Data Plus will be generally available as part of the New Relic Telemetry Data platform—the only all-in-one observability platform with powerful full-stack analysis tools and consumption based pricing. New Relic customers will be able to choose between the existing data plan and the new Data Plus offering to best fit their observability data and business needs.

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New Relic Announces Data Plus

New Relic announced a new Data Plus offering to give engineering teams of all sizes access to industry-leading performance, scale, and governance capabilities as their observability practices mature.

The New Relic Data Plus offering makes capabilities previously only deployed within large scale enterprise environments accessible to every engineering team to help scale their observability practices. These additional capabilities include extended data retention, high performance querying, FedRAMP and HIPAA compliance, enhanced data exports, and more. Starting June 1, 2022, customers can access Data Plus at a simple, predictable, and affordable list price.

New Relic Data Plus offers simple and affordable per-GB pricing by combining our industry-leading telemetry data platform capabilities with powerful security, scale, and performance engineers can trust.

“Our mission is to help every engineer do their best work based on data, not opinions. As more teams integrate observability into their daily practices, we have received widespread feedback from engineering and operations leaders that they need enterprise scale performance and governance to scale observability across their organizations,” said Bill Staples, CEO, New Relic. “With New Relic Data Plus, we are combining the most advanced capabilities, previously only available to our largest enterprise customers, to teams of all sizes at one simple, predictable, and affordable price per gigabyte.”

New Relic Data Plus includes:

- 90 days extended retention over current defaults: Instead of paying individual premiums for data indexing and retention of each data source, customers will be able to choose which data they want stored longer in New Relic without increasing their monthly costs.

- 3x the max query limit and 10x the max duration per query: Engineers can analyze large data volumes faster, with the ability to inspect up to one trillion data points per 30 minutes and 150 billion data points per minute, compared to 300 billion data points per 30 minutes and 50 billion data points per minute in the current data offering. In addition, New Relic Data Plus customers benefit from an increased max query duration of up to 10 minutes, versus 60 seconds in the existing data plan.

- FedRAMP and HIPAA compliance: New Relic Data Plus provides options for customers in highly regulated sectors to enable security configurations required for FedRAMP and HIPAA compliance.

- Logs obfuscation: Engineers can track logs obfuscation rules directly in the log management UI and create anonymous identifiers for sensitive log data such as personally identifiable information (PII), access tokens, and other private or regulated data.

- Enhanced streaming and historical data export (coming soon): Ability to export New Relic data to external destinations for historical analysis and modeling, long-term storage, and integration with other data analytics platforms.

Beginning June 1, 2022, New Relic Data Plus will be generally available as part of the New Relic Telemetry Data platform—the only all-in-one observability platform with powerful full-stack analysis tools and consumption based pricing. New Relic customers will be able to choose between the existing data plan and the new Data Plus offering to best fit their observability data and business needs.

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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 ...

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