By Joe Johnston, John Fiedler, Milos Gajdos, Antoni Batchelli, Justin Cormack
Many books and web publication posts already disguise person issues concerning fitting and working Docker, yet few assets exist to weave jointly the myriad and infrequently forehead-to-wall-thumping matters of operating Docker in creation. worry now not, should you loved the motion picture Inception, you are going to suppose correct at domestic working boxes in digital machines on servers within the cloud.
This ebook provide you with an exceptional knowing of the development blocks and matters of architecting and operating Docker-based infrastructure in production.
If you've adventure in DevOps and ops backgrounds then this is often the e-book for you. past event with either the fundamentals of operating servers in creation in addition to growing and coping with boxes is additionally hugely steered.
Read Online or Download Docker in Production: Lessons from the Trenches PDF
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Extra info for Docker in Production: Lessons from the Trenches
This takes no advantage of a container based workflow, but at least it is a well understood problem. The situation people are worried about is if Docker is used as a way to get developers to put random containers that no one really knows what is inside them into production. Clearly this is not what you want to happen. Containers need to be reproducibly built from scratch, and must be rebuilt if there are security issues in the components if they are not being updated at runtime. The closest way to do this to traditional practices is to take a traditional distro, configure it with tools like Puppet, and then use that as a base Docker image.
55 CHAPTER 6: Security Google, in the Borg paper explains how they have a very different architecture for trusted internal jobs where “We use a Linux chroot jail as the primary security isolation mechanism between multiple tasks on the same machine,” a weaker form of security than containers, versus: “VMs and security sandboxing techniques are used to run external software by Google’s AppEngine (GAE) and Google Compute Engine (GCE). ” It is the large and small companies looking at the security of a microservice architecture built around containers that will concern us most in this chapter.
A number of docker hosts running CentOS 7, using systemd as the system supervisor. 2. A MongoDB server or replica set. 3. An ElasticSearch server or cluster. The MongoDB and/or the ElasticSearch servers might be dockerized on some environments and not dockerized on others. They are also shared by multiple environments. In production, and for operational and performance reasons, these data services are not dockerized. Each docker hosts runs a static set of services, and each of these services is built following the same pattern: • All of their configuration is set via environment variables.