How to success in the cloud with these proven DevOps strategy

DevOps and cloud computing are linked. This fact is well understood by organizations that stand up SaaS clouds or build applications in the cloud.

The core component of this relationship is value through agility. DevOps provides the automation behind agile methods. Traditional target platforms require weeks or months of planning for the hardware and software required. Even with virtualization, the automated provisioning of those resources can’t typically be done on demand.

When it comes to implementing DevOps in concert with the cloud, there are a few core principles to understand and incorporate.

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* There should be a continuous process that includes all aspects of development, testing, staging, deployment, and operations. There should be no time where parts of the process can’t be fully automated. This includes self- or auto-provisioning target platform resources.
* Major and minor changes to applications, from development to operations, should typically occur in less than one day. Moreover, the deployment platform should support almost unlimited provisioning of resources.
* The entire process can exist on premises, in the cloud, or in hybrid configurations. Moreover, the use of multiple cloud brands, such as AWS, Google, and Microsoft, should be supported, as well as public and private cloud models.
For organizations already practicing DevOps, the following steps will help guide them toward successful cloud adoption.

A DevOps strategy for success with the cloud

Here’s how to extend your DevOps strategy to accommodate the cloud.

Step 1: Understand your own requirements

While this would seem to be a logical first step in moving to DevOps and the cloud, many enterprises often neglect the planning required.

First, you need to understand the solution patterns of the applications you’re looking to build. For instance, will there be data-intensive or processor-intensive applications, or a mix? Will the applications require any special hardware or software requirements, such as HPC or IPC middleware? Finally, consider security, performance, monitoring, governance — basically all of the core details that make up your requirements shopping list.

Keep in mind that you’re not looking to solve the problem of a single application, but selecting a core cloud architecture that can accommodate most of the applications that will be built, tested, and deployed using your DevOps automation solution. Also, keep in mind that it’s okay to use multiple target clouds for deployment. Indeed, multiple options for deployment allow you to define and redefine as clouds mature and the prices of public cloud services rise and fall.

Step 2: Define your DevOps process

What is the process that you want to employ, and for what end result? DevOps processes are very different from organization to organization. However, core to this is an understanding of how things are changing. Table 1 shows the old way of doing development and deployment versus the new way of using DevOps and the cloud. 

Table 1: As DevOps and cloud become the primary way to build and deploy software, we must understand what’s changed.

Under the new way, for the most part, we are delivering not software, but services. In the old way, development had to go through operations to get any work done using the traditional model; but now, with DevOps and the cloud, Ops enables Dev to get work done. In the old way, there was reactive monitoring for operations, versus the newer proactive monitoring for DevOps and the cloud.

It’s important to understand which traditional approaches to development and operations to let go of as you move to DevOps and the cloud. In most instances, this means blowing up traditional waterfall methods and tools. Now we must figure out the least latent approach to the DevOps process, including consideration of the target platform, which will likely be private or public clouds. To break this process down further:

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 1. Continuous development is the ability to build applications or services and, at the press of a button, have the solution tested, integrated, staged, deployed, and pushed into operations within the target cloud platform or choice. During any step in this automated process, the solution may be returned to the developer for correcting any problem found. This allows developers to operate near the speed of need, which is the ability to respond to business user requests in near real time.
2. Continuous testing is an automated testing process that is coupled with continuous development, including unit and system tests that are automated for the applications as they move through the DevOps process. Testing can occur on premises or within public clouds.

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3. Continuous integration is a development practice that provides for the integration of code into a shared repository several times a day. Each check-in is then verified by an automated build, allowing teams to detect problems early, and is also coupled with continuous testing and continuous development.
4. Continuous deployment means that each change that passes the automated testing and integration procedures automatically moves to production. Public clouds are typically the target platform, which are able to accept integrated and tested code and keep it in sync with the rest of the DevOps processes, no matter where the automated tools exist.

Step 3: Select and test tools

The tools selected must work with public cloud services. In most instances, they also need to work with private cloud services so enterprises can deploy to a hybrid cloud. Thus, the cloud-enabled DevOps package needs an interface with the cloud provider’s management system.

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