Salesforce DevOpsThe development of Salesforce involves the management and configuration of the metadata and releasing it. Compared to conventional software development approaches, this is slightly different as it involves only lesser among of code writing. Due to this diverse approach, Salesforce immensely helps the development projects with instant advantages like rapid feedback generation and quick resolution of the SDLC issues. SF DevOps environment for development will include the enterprise teams to instigate continuous feedback loops from the users and customers, which thereby helps to improve the overall quality of applications, IT responsiveness, and business agility.
Salesforce DevOps application developmentAgile and lean development methodologies act as the nucleus of any DevOps project. These approaches will let any businesses to effectively develop and quickly deliver applications by using modern practices like Continuous Integration (CI), Continuous Delivery, and Continuous Deployment (CD). Here are the major benefits of SF DevOps approach.
- Effective communication and collaboration
- Faster feedback loops
- Automation of the deployment pipeline
- Frequent, ongoing releases, etc.
Building DevOps pipelinesNow, as we know the fundamentals of SF DevOps development environment and its advantages, let us come into our topic of discussion as building DevOps pipelines.
Step #1: Continuous Integration / Continuous Delivery frameworkTo start with making DevOps pipelines, you need some good CI/CD tools at the first point. The most popular choice is Jenkins, which is an open-source, Java-based tool coming under the MIT License. This is one tool that played a significant role in popularizing the DevOps development approach and has now become a default standard too in CI/CD. Jenkins functions like a magical remote which can interact with various other tools and services as an orchestrator of all. Jenkins is useless as a standalone CI/CD tool, but when it is combined with various tools to integrate them, Jenkins becomes the utmost powerful. Let us explore the other major CI/CD tools too as below.
- Travis CI
- Apache Gump etc.
- Concurrent Versions System (CVS) etc.
- Maven under Apache 2.0 licensing – Java-based
- Bazel under Apache 2.0 license – Java-based
- Gradle under Apache 2.0 license – Java-based
- Ant under Apache 2.0 license – Java-based
- Make under GNU
- Rake under MIT – Ruby based
- SCons under MIT – Python-based
- Cake under MIT – C# based
- ASDF under Expat (MIT) – LISP based
- Buildr under Apache – Ruby based
- A-A-P under GNU – Python-based
- BitBake under GPLv2 – Python-based
- Cabal under BSD – Haskell based
Step #4: WebserverOnce the above steps are completed, you may have the packaged file in hand, which is deployable. For any such application to function, it is essential to provide an interface or a third-party service and a vessel to host (hold) the application. In the case of web applications, a web server is a host. Application servers offer an ideal environment for the programming logic to deploy and render the interface to the users. In SF DevOps applications, you need to have an HTTP web server and an ideal environment like a virtual machine to install the server. Here are some open-source web app servers to consider.
- Tomcat: Apache 2.0: Java-based
- Jetty: Apache 2.0: Java-based
- Tornado: Apache 2.0: Python-based
- Rails: MIT: Ruby-based
- Paste: MIT: Python-based
- Gunicorn: MIT: Python-based
- WildFly: GNU Lesser Public: Java-based
- GlassFish: GNU Less Public: Java-based
- Django 3-Clause: BSD: Python-based
Step #5: Code testingCode testing is another crucial requirement where the developers should catch bugs in the application at the earliest possible point to improve the code quality. There are many open-source tools for this purpose too, which can be plugged into the CI/CD tools for testing automation.
- Junit: Eclipse Public License: Java-based
- Mockito: MIT: Java-based
- EasyMock: Apache: Java-based
- Pytest: MIT: Python-based
- PowerMock: Apache 2.0: Java-based
- Tox: MIT: Python-based
- Hypothesis: Mozilla: Python-based