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Experience Reports & Industry Talks Industry PC Members.Experience Reports & Industry Talks Industry Co-Chairs.Replications and Negative Results (RENE).Most Influential Paper - Program Committee.- Problem Solving Combining Data Science and Web Knowledge.- Testing Facebook's WW Simulation System, a Cyber-Cyber Digital Twin of the Facebook WWW Platform.ICSSP/ICGSE Experience Reports & Industry Talks.ICPC Replications and Negative Results (RENE).
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Joint Track on Software Engineering Education and Training.In the next video, James will lead you through the fine points of testing your infrastructurous code, then I'll be back to talk about the second half of the deployment pipeline, where we take the artifacts and create running systems from them. But how do you know these artifacts are any good? Testing.
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Don't just pull code out of Git, use artifacts. After they're built, they never get changed, and as they're deployed from tier to tier, they're provably identical. We can't stress enough the importance of creating and managing artifacts. We then use Artifactory as our artifact repository for both infrastructure and application artifacts so that our provisioning and deployment can leverage that single-source of truth. All this is controlled through our last seen Bamboo build system. Then as a second layer, we build VM images and AMIs using Packer, and build Docker images directly with docker files. In my shop, we build everything from OS packages, to scripts, to Java and Python applications into DEBs or Debian packages so that we can leverage that format's built in dependency management.
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But deciding on what your artifacts are and how to manage and version them, is very important. Java WAR files that then get built into RPMs and then get built into VM images, for example. You may have multiple layers of artifacts. Docker images, AMIs, VM images, and stuff like that. For infrastructure, you usually see DEBs, RPMs, or other OS packages. For app code, it's usually executable binaries or JARs or similar. Consider what artifacts you intend to use as the deliverables in your infrastructure code pipeline. Artifacts are what get versioned, tested, and deployed. Code usually gets compiled, parsed, or even just bundled up into what we call artifacts. It's such a big and important topic to itself, that we'll cover it in depth in the next video. Like application code, you want to have tests for your infrastructure code and for your infrastructure. Declarative is more efficient, assuming the declarative framework supports exactly what you want it to do. You don't describe the control flow of exactly what to do, you specify what you want done and the tool does it. Puppet manifests are declarative, as are SQL queries and makefiles. This is where you define the desired state, and the tool conforms the system to the model of your desired state. Then there's declarative, also known as functional. You're creating a list of things to do, and the system does them. Imperative, also known as procedural, is an approach where the commands to produce a desired state are defined and executed. There are two common approaches to configuration management code. But if your shop uses something else, ask a developer to show you the ropes, it won't take long to get up and running. We'll use Git in this course, and there's plenty of simple online tutorials that will teach Git. If you're not experienced with it, it's easy. First, you'll want to use source control.
So, for folks that aren't developers, what does a normal code flow look like? Here's an illustration of a continuous delivery flow, where a code gets checked in, goes through successive levels of testing, and finally gets released.
The task ahead is to realize that these are code, and we'll apply coding best practices to them. Maybe it's shell scripts, apache config files, build definitions or OS files. Don't worry, you don't have to learn Java to do DevOps. In this video, we're going to talk about the pipeline you'll set up for your systems to take them from code to artifacts to running systems.
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