Your company is modernizing a legacy application by splitting it into microservices and packaging each service in a container. From a development and operations perspective, which benefit of using containers makes them especially well suited to continuous integration/continuous delivery workflows when compared with installing software directly on a VM?
Running software inside containers transfers any commercial licensing costs to Google Cloud.
Containers automatically provide limitless horizontal scaling without any additional configuration or services.
A container image can be moved unchanged between development, test, and production environments while behaving consistently.
Google automatically patches the underlying operating system for all container workloads, eliminating customer effort.
Containers bundle application code together with all required libraries and runtime dependencies. Because the image runs the same way on a developer laptop, in a test cluster, or in production, teams avoid environment-specific issues and can promote the exact same artifact through each stage of the CI/CD pipeline. The host operating system still requires patching, containers do not provide unlimited autoscaling on their own, and any commercial software inside a container is still subject to customer licensing responsibilities.
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What is Continuous Integration/Continuous Delivery (CI/CD) in software development?
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How do containers ensure consistent behavior across different environments?
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Why are containers preferred over virtual machines (VMs) for modernized applications?
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