Docker in Production: Lessons from the Trenches by Joe Johnston, John Fiedler, Milos Gajdos, Antoni Batchelli,

By Joe Johnston, John Fiedler, Milos Gajdos, Antoni Batchelli, Justin Cormack

Many books and web publication posts already disguise person issues on the topic of fitting and operating Docker, yet few assets exist to weave jointly the myriad and occasionally forehead-to-wall-thumping matters of working Docker in construction. worry no longer, should you loved the motion picture Inception, you'll consider correct at domestic working packing containers in digital machines on servers within the cloud.

This ebook provide you with an effective knowing of the construction blocks and matters of architecting and working Docker-based infrastructure in production.

If you've got adventure in DevOps and ops backgrounds then this is often the publication for you. earlier event with either the fundamentals of operating servers in creation in addition to developing and handling bins can be hugely suggested.

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The names of the logs are not based on the container name it self. The name is created from a random generated service name that only pertains as a unique ID to the service. It can be troublesome to track down which unique ID belongs to which Elastic Beanstalk service. Monitoring All services that are provided through Amazon Web Services typically have their own cloud monitoring solution built in. Elastic Beanstalk is also supported. The monitoring you get, however, is very basic. You’ll get the ELB metrics and server metrics but nothing from the container itself.

Your code may change and the calls used may change. So for general purpose use cases the easiest strategy is to blacklist system calls that are essentially administrative, and not generally used by applications, or are largely obsolete. About 25% of calls fall into these categories. At the time of writing only the Docker lxc backend has hooks for running a seccomp filter, not the default libcontainer backend. There are sample filters in the contrib directory in the docker repo. It would also be possible to get an application to set its own filters.

59 CHAPTER 6: Security Resource limits and cgroups The kernel cgroup facility was created by Google for running applications at scale in its Borg scheduler, a precursor to Kubernetes. A cgroup limits the resources allocated to a group of processes, typically a container. There is a large and complex set of cgroup controllers, but the important ones relate to restricting CPU time, memory and storage. The simplest restrictions are those on memory and CPU access. Memory usage can be set with docker run -m 128m.

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