Principle #2: Change Analysis

Things change. Your ability to see them shouldn’t.

Optimizing Performance in Constantly Changing Applications

Containerized application architectures are engineered for constant change. That’s why they’re perfectly suited for DevOps processes like continuous delivery.

But it’s a challenge to identify critical changes in topology, code and attributes, and how each can impact application performance. When one container goes down, another can pop up in its place, but if failure happens consistently, there will be a degradation of service. At the same time, constant change results in greater complexity, and if it’s not managed, it can result in burnout, downtime, and frustration.

The result is an annoying “now you see it, now you don’t” scenario for monitoring. What’s needed is real-time insight.

Container monitoring helps you to understand the impact of changes on application performance within context of your own team’s tasks and activities. Changes to application code, infrastructure, and topology can be tracked across time, enabling you to quickly pinpoint and prevent problems, as well as identify conditions that correlate to increased performance.

"In its study, EMA found that nearly 65% of companies practicing Continuous Delivery are delivering new code weekly—or more frequently."

Source: Omnichannel, Microservices, and “Modern” Applications: How are you Managing User Perceptions and the Customer Experience, Enterprise Management Associates, January 2016

Podcast: Future-Proof Docker with Modern Monitoring

The New Stack Makers featuring Sushil Kumar, SVP Product Management, CA Technologies

Podcast: Future-Proof Docker with Modern Monitoring

“Identifying and Collecting Container Data”

Chapter from Container Monitoring and Management eBook

Traditional monitoring tools still work for traditional infrastructures, but newer cloud-based offerings should be supported by monitoring solutions that are as scalable as the services being built and monitored. No matter what solution or service you use, you still need to know how you’re going to collect the metrics you’re looking to monitor.

Read this chapter now to get:

  1. An overview of select container monitoring services work, including Docker, cAdvisor, Prometheus, ASC, Open Source Sysdig, and CA APM

  2. A quick glimpse at eight more tools for collecting data

  3. Insight into methods for container monitoring and collecting metrics

See the 4 Principles of
Container Monitoring in Action

Gartner predicts that, by 2020, more than 50% of global enterprises will be running containerized applications in production, up from less than 20% today.

Source: Gartner Market Guide for Container Management Software - 10 August 2017 - G00321084

Learn More about Container Monitoring

How Does Your Docker Monitoring Tool Visualize Complex Relationships?

Amy Feldman, CA Technologies, August 30, 2017

Power Digital Performance With a New Model for Application Performance Management

CA Technologies

Dig Deeper with These Resources


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

View solution brief >


Monitoring Docker Containers - Tasty Morsels, but Slippery Little Suckers

Read blog >


CA APM Docker Monitoring

View data sheet >

Read Next: Principle #3

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