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Cloud DevOps Best Practices:

August 24th, 2023 by Michał Kułaczkowski
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Cloud DevOps Best Practices:

DevOps is the approach that can potentially revolutionize the delivery and deployment process of any application, and cloud software is no exception. In fact, the complexity of cloud application delivery requires particularly effective practices, and the culture of collaboration between development and operations teams is one of the most effective solutions.

Here is more information on DevOps best practices for cloud software development.

DevOps vs cloud engineer

First of all, it is necessary to understand that a DevOps engineer and a cloud engineer are two different roles in the IT world, however, they can work closely together and cloud engineers can effectively adopt DevOps practices. Working on cloud-based software, on the other hand, is where you might need cloud engineer expertise.

While cloud engineers focus on designing and building a specific cloud infrastructure and services as well as cloud software deployment, DevOps engineers are responsible for optimizing the development, deployment, and maintenance process, which is not necessarily limited exclusively to cloud environments. Designing and implementing Continuous Integration/Continuous Deployment (CI/CD) pipelines and automating the software delivery process are among the main responsibilities of DevOps engineers. Also worth to check: Where you might need DevOps as a service?

At the same time, DevOps engineers pay special attention to the collaboration between development and operations specialists. This aspect is not always present in cloud engineering practices.

The different scope of work also requires different skills from DevOps and cloud engineers. The former need to know programming and scripting for software development and have an understanding of infrastructure management and system administration. DevOps engineers should also know how to use key tools and platforms such as Kubernetes, Docker, and Jenkins.

Similar to DevOps, cloud engineers also need knowledge of networking, security, automation, and cloud architecture design. Depending on the specialization, cloud engineers need to be fluent in Google Cloud, AWS, or Azure.

Cloud-native architecture in every application

To build an efficient cloud application, it is necessary to design the software specifically for the cloud environment from the beginning, for instance, by adopting a microservices architecture.

You should also consider using Infrastructure-as-a-Code (IaaC), which will help you benefit from version control for your infrastructure configurations and contribute to software consistency and repeatability.

To adopt DevOps practices for cloud applications, you should implement containerization technologies, such as Kubernetes, which aggregates applications and associated dependencies into units called containers. Container architecture will further improve scalability.

Maximum automation with DevOps tools

Automating development, testing, and deployment processes can make them much more effective. Automation reduces manual errors, the amount of work, and overall effort, which speeds up software launch. Not only is automation one of the most effective ways to improve productivity but it also has great potential for reducing costs.

Implementing continuous integration and delivery techniques helps to efficiently automate several critical processes. Pay particular attention to test automation, which can save significant resources.

When developing cloud software, think about auto-scaling, which is usually offered by cloud platforms. This feature improves the stability and reliability of your software by dynamically adjusting resources to match the workload. You can use such cloud DevOps tools as Azure Functions, AWS Lambda, or Google Cloud Functions to incorporate automated scaling through your application's serverless architecture.

Implementing DevOps to boost the reliability and security of cloud computing

As mentioned earlier, implementing automated scaling is one of the cloud DevOps best practices for improving software stability and reliability. For even better effects, look to resource availability for your applications and infrastructure. Developing and implementing effective disaster recovery plans and regular automated testing will help you develop even more stable software.

Robust monitoring practices are also critical to gaining insight into key performance metrics of your applications and enhancing the quality of issue detection and resolution.

Also consider DevSecOps, the approach that is one of the best practices for DevOps. DevSecOps combines development, security, and operations and includes regular security audits, vulnerability assessments, and the application of security patches. Keep in mind that security is critical to every step of development and deployment, and a cloud DevOps team should do its best to protect data and infrastructure and comply with industry standards. Maybe you might need Cloudops? We can help you decide with this: CloudOps vs DevOps

Enhanced collaboration and continuous improvement

Smooth communication is central to the DevOps approach, and DevOps in cloud software development is no exception. Successful DevOps teams reduce the gap between the development and operations teams, and the same task should be accomplished for specialists working on cloud software.

Furthermore, cloud DevOps teams should foster a culture of continuous learning and improvement. While DevOps aims to optimize the delivered software, it also requires improvement in the development and deployment processes, which in turn cannot be achieved without continuous learning.

Conclusions: cloud DevOps in business

Although DevOps in the cloud engineering process is not obligatory, many cloud software developers coordinate the development process and software delivery with DevOps specialists or use cloud DevOps consulting services to optimize cloud resources, enforce continuous integration, implement agile project management, and generally help cloud engineers deliver stable, reliable, and optimized software.

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