New Relic APM (Application Performance Monitoring)
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.
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Application Monitoring: Provides visibility into the performance of applications, including response times, throughput, and error rates.
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Transaction Tracing: Allows tracking of individual transactions across distributed systems to identify bottlenecks and optimize performance.
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Code-level Insights: Offers detailed insights into application code performance, including slowest database queries, external service calls, and CPU usage.
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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:
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Basic Programming Knowledge: Understanding of programming concepts and languages used in your applications, such as Java, Python, or JavaScript.
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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.
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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).
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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:
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Performance Monitoring: Ability to monitor and track the performance of your applications in real-time, including response times, throughput, and error rates.
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Troubleshooting and Diagnostics: Skill in diagnosing performance issues and identifying root causes using detailed insights and transaction traces.
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Optimization Techniques: Knowledge of optimization techniques to improve application performance, such as optimizing database queries, reducing latency, and optimizing resource usage.
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Alerting and Notification: Capability to set up alerts and notifications based on predefined thresholds to proactively address performance issues.