Principle #4: Flexible Monitoring

More performance insights. Less cost.

One Size Monitoring Does Not Fit All

Containers vary in memory size depending on the applications and microservices they support – and that raises a challenge. Deep instrumentation can be too expensive, while simplistic mapping can’t deliver the detailed performance insights needed for complex distributed systems integrated with existing enterprise applications. And API-centric communication also means needing to quickly determine how latency impacts application performance and end-user experience.

The key is having more than one way to monitor containers – without having to increase tools and cost. This means adopting non-intrusive agentless technologies that automatically discover, monitor, and trace all types and sizes of containerized applications and transactions, providing insights into latency speeds, error rates and end-to-end application performance. And the more auto-discovery capabilities the monitoring system has, the less that operational support is required.

"Boa Vista Services, a banking services company, agrees that CA APM’s Docker monitoring allows them to easily see which container is running which app to improve troubleshooting of application performance issues."

Source: Alexandre Prado, IT Specialist, Boa Vista Services, TechValidate. TVID: 245-8B1-924

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"Classes of Container Monitoring"

Chapter from Container Monitoring and Management eBook

Container monitoring comprises a multiple array of definitions, depending on who the practitioner is. Developers, sysadmins, and end-users each have their own idea of what to do. Here, we identify four main use cases of monitoring within an operational, container, and cloud-based context.

Read this chapter to learn more about the four use cases:

  1. Knowing when something is wrong

  2. Having the information to debug a problem

  3. Trending and reporting

  4. Plumbing

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See the 4 Principles of
Container Monitoring in Action

CA APM delivers an ROI of as much as 316%, realized in 4.4 months.

Source: Forrester Total Economic Impact of Application Performance Management, commissioned by CA Technologies. April 2017

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Power Digital Performance With a New Model for Application Performance Management

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The Total Economic Impact of APM from CA Technologies

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CA APM Docker Monitoring

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Accelerating the Application Lifecycle with Microservices, Docker Containers 
and End-To-End Visibility of the User Experience

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