Monitoringīecause containers have short lifespans, they're classified as ephemeral workloads. This also means IT needs a fast way to update the official images into production repositories that host the various container images. IT also needs to have a process so as soon as an image is released for adoption into production, it is scanned and certified for production, he says. IT "may struggle" unless it has engineers who are comfortable with both development and operations, he says.Īnother challenge for IT is scanning of container images for security vulnerabilities prior to deployment into production, says Natarajan. The solution: Tools that understand the container image structures and can check for issues.
IT also needs people and engineers familiar with programming microservices, Jones says. The provisioning of large deployments is nearly impossible to manage without a container orchestration mechanism such as Kubernetes, Docker Enterprise, or Red Hat OpenShift, says Torrey Jones, principal consultant at Greenlight Group. This is because containers for cloud-native applications, in particular, are meant to be moved around depending on the load in those containers.” “IT cannot simply keep using the same machines the earlier version of a container got deployed into. Or should it even track that as an asset? Instead, should it just track the application the container is representing as the asset?"Īnother challenge is to determine where to deploy a container-a vital consideration, given the number of containers being released to IT and the pace of releases, Natarajan says.
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"This means, when IT provisions a container and tracks it as an asset, it needs to determine how to track that asset given its short lifespan. For one thing, containers are updated rapidly, and those running in production have a short lifespan of just a few days, says Srikanth Natarajan, head of the technology strategy office in the IT Operations Management Business at Micro Focus. Containers introduce issues for provisioning.