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New Relic Adds Automatic Logs in Context to APM

New Relic announced enhancements to its Application Performance Monitoring (APM) to automatically collect logs in context with application metrics and traces.

Logs are critical for observability, and automatically coupling logs collection with APM allows engineers to immediately investigate relevant logs associated with their other telemetry data, helping them troubleshoot their applications faster. This new feature improves upon the already 3X+ more value that New Relic customers receive compared to other observability platforms, which require 13+ different SKUs with disjointed experiences and legacy product-based pricing models.

Collecting logs can be a complex, manual, and often frustrating experience. Developers often have to request access to specific hosts and configure non-standard log forwarding to collect application logs separate from their APM metrics. To address these common limitations, New Relic updated its Java, Ruby, and .NET APM agents to automatically collect and ingest application logs. With this new feature, New Relic is making logging easier for developers by simplifying log forwarding directly from the APM agent, providing logs in context, and enhancing the APM UI to surface relevant logs that are automatically associated with other telemetry data for APM to reduce context-switching. Engineers no longer need to worry about manual and non-standard log forwarding, and will still get granular configuration options to tailor log collection with the option to opt out anytime.

“Our customers have told us that they experience two primary problems when it comes to logging: first is the ability to collect log data; second is contextualizing the data to make it actionable. When troubleshooting an issue, our customers shouldn’t have to context switch across the UI to navigate the wealth of available information,” said New Relic SVP and Product GM, Wendy Shepperd. “Now with a single agent deployment for the supported application languages, engineers get a simple yet holistic solution to quickly see and act on all their telemetry in context. The new functionality curates the data automatically, such as entity GUIDs for related APM service entities, including application logs, so that highly correlated telemetry logs are already visible right out of the box.”

With the latest versions of Java, Ruby, and .NET agents for supported frameworks, New Relic customers can view application logs in context of APM metrics, traces and events, removing the need to switch between screens; collect and forward logs to New Relic with little to maintain or relying on manual configurations; and access logs inside APM with enhanced UI improvements. In addition, the update includes robust support to ensure security, compliance and control:

- Data Security: Mask, obfuscate, and prevent sending PII, PHI, or any other sensitive data via detailed security configurations.

- Ingest Control: Use in-agent log sampling to manage ingested volume and avoid double-billing to continue to receive 3X more value than alternate log management solutions.

- Compliance: Log collection disabled by default for HIPAA, FedRAMP and accounts where High Security Mode is in use, even after the agent is upgraded.

- Opt-out Anytime: Turn off automatic forwarding by configuring your agent anytime or from the data management hub in New Relic.

New Relic Application Performance Monitoring with the automatic logs-in-context feature is generally available for Java 7.7.0, Ruby 8.7.0, and .NET 9.7.2 agent versions. New Relic will enable automatic logs in context for Node.js, Python, Go, and PHP agents over the coming quarters.

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New Relic Adds Automatic Logs in Context to APM

New Relic announced enhancements to its Application Performance Monitoring (APM) to automatically collect logs in context with application metrics and traces.

Logs are critical for observability, and automatically coupling logs collection with APM allows engineers to immediately investigate relevant logs associated with their other telemetry data, helping them troubleshoot their applications faster. This new feature improves upon the already 3X+ more value that New Relic customers receive compared to other observability platforms, which require 13+ different SKUs with disjointed experiences and legacy product-based pricing models.

Collecting logs can be a complex, manual, and often frustrating experience. Developers often have to request access to specific hosts and configure non-standard log forwarding to collect application logs separate from their APM metrics. To address these common limitations, New Relic updated its Java, Ruby, and .NET APM agents to automatically collect and ingest application logs. With this new feature, New Relic is making logging easier for developers by simplifying log forwarding directly from the APM agent, providing logs in context, and enhancing the APM UI to surface relevant logs that are automatically associated with other telemetry data for APM to reduce context-switching. Engineers no longer need to worry about manual and non-standard log forwarding, and will still get granular configuration options to tailor log collection with the option to opt out anytime.

“Our customers have told us that they experience two primary problems when it comes to logging: first is the ability to collect log data; second is contextualizing the data to make it actionable. When troubleshooting an issue, our customers shouldn’t have to context switch across the UI to navigate the wealth of available information,” said New Relic SVP and Product GM, Wendy Shepperd. “Now with a single agent deployment for the supported application languages, engineers get a simple yet holistic solution to quickly see and act on all their telemetry in context. The new functionality curates the data automatically, such as entity GUIDs for related APM service entities, including application logs, so that highly correlated telemetry logs are already visible right out of the box.”

With the latest versions of Java, Ruby, and .NET agents for supported frameworks, New Relic customers can view application logs in context of APM metrics, traces and events, removing the need to switch between screens; collect and forward logs to New Relic with little to maintain or relying on manual configurations; and access logs inside APM with enhanced UI improvements. In addition, the update includes robust support to ensure security, compliance and control:

- Data Security: Mask, obfuscate, and prevent sending PII, PHI, or any other sensitive data via detailed security configurations.

- Ingest Control: Use in-agent log sampling to manage ingested volume and avoid double-billing to continue to receive 3X more value than alternate log management solutions.

- Compliance: Log collection disabled by default for HIPAA, FedRAMP and accounts where High Security Mode is in use, even after the agent is upgraded.

- Opt-out Anytime: Turn off automatic forwarding by configuring your agent anytime or from the data management hub in New Relic.

New Relic Application Performance Monitoring with the automatic logs-in-context feature is generally available for Java 7.7.0, Ruby 8.7.0, and .NET 9.7.2 agent versions. New Relic will enable automatic logs in context for Node.js, Python, Go, and PHP agents over the coming quarters.

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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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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