An organization wants to release new features several times a day while minimizing application downtime. After containerizing its monolithic app on Google Cloud, which key advantage of containers will most directly enable this rapid, low-risk deployment cadence?
The application runs from immutable container images that can be replaced or rolled back quickly during each release.
Containers automatically scale up and down without any configuration effort.
Containerized workloads can be moved between on-premises and cloud environments without code changes.
A single container can host multiple long-running processes in one environment.
Containers are built from immutable images that bundle an application and all its dependencies. Because each new version is a fresh, identical image, teams can roll out or roll back releases quickly using strategies such as blue/green or canary deployments, reducing downtime and risk. Portability across environments and autoscaling are useful but do not directly address fast, low-risk updates, and running multiple processes in one long-lived environment conflicts with microservice principles.
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