The Do’s and Don’ts of Cloud DevOps

You must be familiar with DevOps and Cloud if you’re in software development or IT operations. Both DevOps and Cloud are easily entangled, and people scramble to find out if they can collaborate. DevOps aims to simplify development, while the cloud provides automated supply and scales to accommodate application changes.

With companies adopting DevOps best practices and enhancing their software development cycle, it is important to upgrade and speed up applications, so that they can switch to the cloud.

You can’t perform DevOps the way you did it on-site when you step into the cloud.

Unfortunately, IT professionals practicing DevOps in the cloud frequently make errors which they could easily prevent. The problem is the lack of awareness of best practices. Both are relatively new fields, but the challenge could be more people-like than technology- and sometimes people’s issues are more difficult to overcome.

To help you get off the ground successfully, we have compiled a Do’s and Don’ts list to follow when implementing DevOps in the cloud.

But first, let us understand,

The Challenges of using Cloud DevOps

• Lack of cloud expertise.

While the cloud has been around for more than 10 years, there are still very few qualified resources. Cloud is new for many Operations & Development people because they concentrate on their everyday work and lack the opportunity to test and learn about the ins and outs of cloud technology. So how will the transformation begin? How can all choices like Cloud systems, containers and serverless architectures, machine learning, IoT, and much more be navigated? It can be overwhelming for IT teams to answer these questions without cloud expertise.

• Scaling and onboarding

A small-scale cloud deployment may also be achieved using the software of the cloud platform. However, it needs greater standardization and automation than existing cloud systems to extend a cloud deployment to various teams.

• Security and Compliance

The applications must be kept secure in the cloud to effectively incorporate the cloud. In the cloud still, many traditional security procedures, including SAST and DAST, are essential. However, since many companies are using open-source software and switching to cloud-based services, more protections should be included in the mix.

Best Practices for Successful Cloud DevOps

Here are a few practices, we suggest.

• Learn and practice!

DevOps processes require constant learning and development. Cloud training and seminars are offered in a variety of ways to help you. Furthermore, some vendors include pre-built models that make learning and experimenting with various cloud technologies simple and quick and integrate best practices from working with several companies. The use of this expertise eliminates common limitations that discourage cloud adoption and shorten the learning curve.

• Scale with DevOps as Code.

“Everything as a Code” has rapidly become a standard aspect of DevOps, as businesses aim to automate the distribution process as quickly as possible. To handle the complexity of a feature, CI / CD, code structures, configuration management, and container management are all used for code. DevOps as code ‘blueprints’ let you build templates from your experts’ established YAML files. The blueprints identify and standardize best practices in your entire frequency pipeline and take input parameters that can be implemented as per setup (environment, app, or team). You can create clear pipelines and monitor the output on the scale with DevOps as Code in your organization.

• Standardize activities in security and governance

Many businesses have a hard time switching to the cloud since they do not manage access, usage, and costs. Fortunately, there are market resources that allow you to do all of this. Besides, automatic clean-up and roll-back procedures can be introduced directly into the CI/CD pipeline to ensure that resources are cleared until they are finished to prevent them from being abandoned. Protection should also be automated and incorporated into the pipelines — automation is the key here. For example, every check-in should run SAST and SCA, every build should run DAST, and every deployment should run application and DB tests.

• Make it clear.

DevOps is a shared responsibility among the organization’s many positions (developers, IT operations, security, product managers, and managers). DevOps offers much data to improve the delivery process of the program. We need to have access to this information to be able to see all that is going on in the release pipeline. For example, chain-of-custody for each product in the company should include complete traceability and auditability. And everyone should be able to see where a function is on the pipeline, who is involved, and what the next steps are at every stage in the delivery cycle. DevOps teams can also help to increase the release rate, identify bottleneck problems, and enhance their ability to resolve problems through several different tools by using predictive analysis based on machine learning models. The more exposure teams, the more successful they get.

Conclusion

The advantages of using DevOps in the cloud are not automatic and require a high degree of brainpower and investment to achieve your goals. But if you understand the level of dedication that DevOps requires and give your company high priority in the cloud, you can do it right.

In combination with cloud-based systems, you can take tremendous advantage of DevOps. This strong combination will improve business agility and time and significantly reduce the cost of service.

If you’re looking for an all-in-one solution without worrying about the development process, AFour Technologies specializes in DevOps to produce actual business results. AFour Technologies holds expertise in generating immense ROI through intelligent infrastructure provisioning, continuous software development with minimal efforts.