Docker has been a source of excitement and experimentation among developers since March 2013, when it was released into the world as an open source project. As the platform has become more stable and achieved increased acceptance from development teams, a conversation about when and how to move from experimentation to the introduction of containers into a continuous integration environment is inevitable.
What form that conversation takes will depend on the players involved and the risk to the organization. What follows are five important considerations which should be included in that discussion.
Define the Container Support Infrastructure
When you only have a developer or two experimenting with containers, the creation and storage of Docker images on local development workstations is to be expected, and the stakes aren’t high. When the decision is made to use containers in a production environment, however, important decisions need to be made surrounding the creation and storage of Docker images.
Before embarking on any kind of production deployment journey, ask and answer the following questions:
Don’t Short-Circuit Your Continuous Integration Pipeline
Free eBook: Continuous Integration and Deployment with Docker and Rancher
Perhaps one of Docker’s best features is that a container can reasonably be expected to function in the same manner, whether deployed on a junior developer’s laptop or on a top-of-the-line server at a state-of-the-art data center. Therefore, development teams may be tempted to assume that localized testing is good enough, and that there is limited value from a full continuous integration (CI) pipeline.
What the CI pipeline provides is stability and security. By running all code changes through an automated set of tests and assurances, the team can develop greater confidence that changes to the code have been thoroughly tested.
Follow a Deployment Process
In the age of DevOps and CI, we have the opportunity to deliver bug fixes, updates and new features to customers faster and more efficiently than ever. As developers, we live for solving problems and delivering quality that people appreciate. It’s important, however, to define and follow a process that ensures key steps aren’t forgotten in the thrill of deployment.
In an effort to maximize both uptime and delivery of new functionality, the adoption of a process such as blue-green deployments is imperative (for more information, I’d recommend Martin Fowler’s description of Blue Green Deployment). The premise as it relates to containers is to have both the old and new containers in your production environment. Use of dynamic load balancing to slowly and seamlessly shift production traffic from the old to the new, whilst monitoring for potential problems, permits relatively easy rollback should issues be observed in the new containers.
Don’t Skimp on Integration Testing
Containers may run the same, independently of the host system, but as we move containers from one environment to another, we run the risk of breaking our external dependencies, whether they be connections to third-party services, databases, or simply differences in the configuration from one environment to another. For this reason, it is imperative that we run integration tests whenever a new version of a container is deployed to a new environment, or when changes to an environment may affect the interactions of the containers within.
Integration tests should be run as part of your CI process, and again as a final step in the deployment process. If you’re using the aforementioned blue-green deployment model, you can run integration tests against your new containers before configuring the proxy to include the new containers, and again once the proxy has been directed to point to the new containers.
Ensure that Your Production Environment is Scalable
The ease with which containers can be created and destroyed is a definite benefit of containers, until you have to manage those containers in a production environment. Attempting to do this manually with anything more than one or two containers would be next to impossible. Consider this with a deployment containing multiple different containers, scaled at different levels, and you face an impossible task.
Check out Rancher Sandbox – all you need is a GitHub account
Evaluating and deciding on a container management solution is one of the most important decisions you’ll make in the entire process (note: you can try Rancher’s container management solution online, through their Rancher Sandbox environment).
When considering the inclusion of container technology as part of the DevOps process and putting containers into production, I’m reminded of some important life advice I received many years ago—“Don’t do dumb things.” Container technology is amazing, and offers a great deal to our processes and our delivery of new solutions, but it’s important that we implement it carefully.
Mike Mackrory is a Global citizen who has settled down in the Pacific Northwest – for now. By day he works as a Senior Engineer on a Quality Engineering team and by night he writes, consults on several web based projects and runs a marginally successful eBay sticker business. When he’s not tapping on the keys, he can be found hiking, fishing and exploring both the urban and the rural landscape with his kids.
Recording: The Great Container Monitoring Bakeoff
Feat. Sysdig, Datadog, and Prometheus
Wondering which container monitoring solution to pick? The recording of our October online meetup features demos and comparisons of three of the most popular options out there.