Instant insight into all telemetry data.
Improved IT and business outcomes through AI.
- New Relic AI assistant explains errors and provides steps for a fast-path to remediation and improved customer experiences.
- Natural language query using human speech or text for searching across all logs and telemetry data.
- Ingest-time log parser automatically turns raw log data into understandable formats for optimized, streamlined queries.
Fast, effective troubleshooting.
- NRQL-based unified querying designed for observability works seamlessly across all MELT data types.
- Business-critical incidents resolved through single query across log, APM, and infra in centralized UI or IDE via CodeStream.
- Improved performance and predictability to reduce and eliminate issues, bottlenecks, and user friction.
Simple to set up and easy to use.
- Intelligent observability through agent architecture or log-forwarding based on open standards.
- Consolidate view of all telemetry data to eliminate visibility gaps and siloed information.
- Open-source tools from FluentD, FluentBit and Logstash with integrations to AWS, Azure, and more.
Security and compliance from ingest to archive.
- Operational and archived logs stored in New Relic database with the same access, discoverability, and functionality.
- Archived logs stored in "hydrated" state for querying, dashboards, and contextualized insight.
- Savings up to 1/4th the TCO of other solutions with singular vendor UI and predictable end-to-end pricing.
Log files contextualized, optimized, and economized for compliant, long-term storage.
- Instant insight from historical log data: CodeStream gives New Relic functionality in your IDE.
- Automation and intelligent observability: Improves data quality and results with leading-edge AI.
- Cost effective: Singular interface with no additional vendors at 1/4th the TCO of other solutions.
See why customers love New Relic log management.
has us open.
Log Management FAQs
New Relic AI-powered log management provides instant insight across the enterprise from applications, infrastructure, and devices for immediate analysis, resulting in faster troubleshooting and mean time to resolution (MTTR). The user-friendly interface allows you to create alerts, workflows, and intuitive, dynamic dashboards, as well as reduce manual processes and errors through automation, AI, and contextualization.
New Relic log management is a fully integrated solution of the overall Intelligent Observability Platform. You can see our dedication to using AI to resolve our customers’ challenges throughout our core product, and it’s embedded in our user experience. Other vendors—such as Datadog—use separate chatbots. New Relic provides end-to-end “ingest to archive” log management, which includes retention rules for compliance. Other tools—such as Datadog, Dynatrace, and ELK—may provide forwarding functionality to third-party storage, but they’re not an integrated archive solution. New Relic keeps the developer, engineer, and log practitioner in mind as evidenced by our functionality, architecture, and affordability.
- AI monitoring readiness: Utilizes GenAI and key algorithms with logs, metrics, and traces to accelerate analysis and improve data quality and system intercompatibility.
- Security monitoring: Use log data to detect and investigate security incidents.
- Incident response: Analyze your logs to investigate and respond to issues and quickly identify the root cause.
- Troubleshooting and debugging: Analyze your logs in order to identify current application errors, bottlenecks, and software bugs.
- Performance monitoring: Monitor system performance by analyzing log data to identify utilization patterns and anomalies that may potentially impact the health and responsiveness of your system.
- Application monitoring: Keep track of application-specific logs in order to gain essential insights into user interactions and performance metrics.
- Business intelligence: Extract key business insights from logs to identify trends and better understand your users and their behaviors.
Monitoring system logs requires a good understanding of the system and the logs that are generated by it. Additionally, it's important to have accurate, real-time data to interpret the logs and take action based on everything that happens in your application, network, or server.
New Relic log management can help you monitor system logs quickly, easily, and all in one place. Reduce your workload by having all of your system logs correlated to curated content across your entire stack with real-time monitoring and in-depth troubleshooting.
New Relic’s logging best practices include:
• Anticipate common scenarios.
• Log meaningful messages for valuable context.
• Keep logs simple and concise to capture only the most critical information.
• Don’t forget to timestamp.
• Use a log format with consistent structure for meaningful parsing.
Setting up and deploying New Relic logs is simple and automated. Define which logs you want to send and from which source, and then leverage one of our multitude of paths to bring logs into New Relic databases.