When everything is firing on all cylinders, DevOps can be awesome. By automating every application build – from development and QA, to pre-release testing and eventually to production – DevOps lets you release new code as frequently as your business needs to instead of continuously delayed releases. This, in turn, enables you to resolve issues and make important improvements with lightning speed, keeping you agile and helping you meet customer needs (and expectations) as well as respond to new challenges in a competitive landscape.
Teams work together seamlessly and routine tasks are automated. Continuous delivery is about being continuously integrated, continuously tested, continuously deployed and continuously monitored.
All is well, and right with the world – unless your DevOps needs begin exceeding the capacity of the platforms and tools you depend on. Scalability is a crucial element of DevOps success. Wikipedia defines “scalability” as the capability of a system or process to handle a growing amount of work, or its potential to be enlarged to accommodate that growth.
The need for scalability is one of the primary reasons that DevOps and cloud infrastructure are so integrally linked.
There are a number of factors impacting scalability in your environment, which could impact the success of your DevOps initiatives. Here are 2 things to keep in mind to ensure your environment is ready to scale:
1. Make Sure Your Tools Are Scalable
The ability to scale capacity is one of the chief advantages of cloud computing, and one why cloud computing is so important to DevOps success. You must ensure that the tools you rely on can seamlessly scale with the growing need and that the apps you’re delivering through your DevOps environment are taking full advantage of the fully automated platform.
When planning and designing your mobile DevOps infrastructure, do not fall prey to a tool or platform that actually limits your scalability by the design flaws in the platform architecture or in the business model. Instead, you need to demand unlimited scalability, as it will eventually define the speed of your testing and delivery process.
Below is an example of the type of scalability that we at Bitbar Cloud delivers to our customers. The test run is executed on 273 devices concurrently, 41,781 test cases are executed and the user gets test results instantly:
2. Software-Defined Infrastructure: Continuous Optimization
Despite the strong trend of mobile DevOps, not every tool and infrastructure is built to deliver results in a continuously changing world. Make sure that the tools you use and the apps you deploy are able to be continuously adjusted to changes in the entire DevOps stack.
The toolchain should be able to continuously take full advantage of the resources available to ensure the best performance possible at all times. Software-defined-infrastructure (SDI) can deliver you the best performance in the changing world. Bitbar supports fully customer defined Docker images and virtual machines (VMs) that include exactly the tools and libraries needed by the development teams. And the updates on these virtualizations are automated so that the development teams will have the latest tools available to deliver mobile software as required by the business.
Many of Bitbar Private Cloud customers already take the advantage of the fully customized docker & VM images , where only the physical implementation of the infrastructure is the only static part. Forrester Research predicts the SDI will be mainstream in 2018 .
Scalability and adaptability are emerging as two differentiating factors between mobile DevOps solutions. Due to the high-performance requirements by many development teams, performance will be the primary differentiating factor when considering one vendor over another. A much greater focus will be placed on the vendor’s scalability, manageability, and ability to serve larger and larger teams instantaneously.
We are now getting to the point where scalability, from the technical architecture point of view, as well as from the business model point of view will be deciding factor when purchasing DevOps tools. Nobody wants to be caught with a system that doesn’t effectively scale or adapt when more and more teams are onboard to the platform. The number of builds and tests will only grow, as teams become more aligned with agile development principles.