New Relic APM (Application Performance Monitoring) is a software analytics tool designed to help developers and IT operations teams monitor, troubleshoot, and optimize the performance of their applications and infrastructure in real-time.

  1. Application Monitoring: Provides visibility into the performance of applications, including response times, throughput, and error rates.

  2. Transaction Tracing: Allows tracking of individual transactions across distributed systems to identify bottlenecks and optimize performance.

  3. Code-level Insights: Offers detailed insights into application code performance, including slowest database queries, external service calls, and CPU usage.

  4. Error Detection and Diagnostics: Detects and diagnoses errors in real-time, providing stack traces and context to facilitate troubleshooting.

Before learning New Relic APM (Application Performance Monitoring), it's beneficial to have the following skills:

  1. Basic Programming Knowledge: Understanding of programming concepts and languages used in your applications, such as Java, Python, or JavaScript.

  2. Understanding of Web Technologies: Familiarity with web development technologies and frameworks like HTML, CSS, and JavaScript, as well as web servers like Apache or Nginx.

  3. Basic DevOps Concepts: Knowledge of basic DevOps principles, including continuous integration and deployment (CI/CD), containerization (e.g., Docker), and version control systems (e.g., Git).

  4. Understanding of Application Architecture: Familiarity with concepts related to application architecture, such as client-server architecture, microservices, APIs, and distributed systems.

By learning New Relic APM (Application Performance Monitoring), you gain the following skills:

  1. Performance Monitoring: Ability to monitor and track the performance of your applications in real-time, including response times, throughput, and error rates.

  2. Troubleshooting and Diagnostics: Skill in diagnosing performance issues and identifying root causes using detailed insights and transaction traces.

  3. Optimization Techniques: Knowledge of optimization techniques to improve application performance, such as optimizing database queries, reducing latency, and optimizing resource usage.

  4. Alerting and Notification: Capability to set up alerts and notifications based on predefined thresholds to proactively address performance issues.

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