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New Relic: Optimizing Cloud Performance

 35 Hours
This instructor-led, live training in Oman (online or onsite) is aimed at intermediate-level devOps engineers, developers, and IT professionals who wish to leverage New Relic for comprehensive monitoring and optimization of their cloud infrastructure and applications. By the end of this training, participants will be able to:
  • Set up and configure New Relic for AWS Lambda functions and Docker containers.
  • Understand and implement best practices for monitoring microservices.
  • Utilize New Relic's features to gain insights into application performance and identify bottlenecks.
  • Manage time effectively in addressing and resolving application dropouts.
  • Develop strategies for maintaining high application performance and availability.
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Application Performance Management (APM) with New Relic

 28 Hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to use New Relic to measure, track, report and repair web application issues as experienced by end-users in real-time. By the end of this training, participants will be able to:
  • Install and configure New Relic agents on application hosting servers and end-user clients.
  • Detect and diagnose complex application performance issues.
  • Maintain high levels of web application service availability.
  • Identify and repair faulty APIs that slow down the performance of an application.
  • Accurately measure the response time of time-sensitive web applications and websites.
  • Monitor database operations and improve query response time.
  • Set alerts to be notified of problems in real-time.
  • Translate IT metrics into business insights to make better decisions.
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Upcoming Courses

New Relic: Optimizing Cloud Performance

2025-06-02 09:30
35 hours
Online

New Relic: Optimizing Cloud Performance

2025-06-16 09:30
35 hours
Online

Application Performance Management (APM) with New Relic

2025-06-30 09:30
28 hours
Online

New Relic: Optimizing Cloud Performance

2025-07-14 09:30
35 hours
Online

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