DevOps has become a buzzword over the last couple of years. Many organizations are adopting DevOps practices to improve their software delivery processes. The problem is that many companies don’t fully understand what DevOps really means or how they should implement it.
DevOps is a combination of two words: development and operations. In other words, DevOps refers to the practice of combining developers and IT operations staff into a single team to deliver applications faster and better. This approach allows teams to collaborate closely and share knowledge across disciplines.
“It’s important to note that DevOps isn’t a new concept,” says John Willis, vice president at Gartner Inc., a research firm. “What’s changed is the way it’s being applied.”
DevSecOps Services | Cloud Consultant | 5 Phases Of A Successful DevSecOps Process
In this article, we’ll look at 15 common mistakes made by DevOps practitioners. We’ll also explain why these mistakes happen and how you can avoid them.
1. Not Understanding the Value of Automation
Automation is one of the key components of DevOps. Automating tasks ensures that your organization doesn’t have to rely on manual labor to complete repetitive tasks. It also enables you to scale up quickly as more people join your organization.
Automation can be used for any type of task in an application lifecycle. For example, you could automate the creation of test cases, build code from source control, deploy changes to production servers, monitor performance metrics, etc.
2. Focusing too much on Infrastructure
The first mistake most DevOps practitioners make is focusing too much on infrastructure. They spend time automating everything related to infrastructure management, including provisioning servers, configuring network settings, installing operating systems, managing storage, setting up monitoring solutions, etc.
This may seem like a good idea because infrastructure plays such a large role in the success of an application. However, there are plenty of ways to manage infrastructure without having to use automation. You can simply hire experienced engineers who know how to do things manually.
Waterfall Vs. Agile Vs. DevOps | What Is A Dockerization, & How Is It Different Than A Virtual Machine
3. Ignoring Security
Security is another area where many DevOps practitioners fail. Security is often overlooked when implementing DevOps. If you’re not careful, you might end up with insecure applications that expose sensitive data to hackers.
4. Not using CI/CD
Continuous integration and continuous deployment are two of the core elements of DevOps. Without them, you won’t be able to release software frequently.
5. Using Outdated Technology
Many DevOps practitioners still use legacy technologies such as Visual Studio and SQL Server. Legacy technologies are difficult to maintain and require constant updates. As a result, they slow down the entire process of developing and deploying applications.
Managed Microsoft Azure | Choice Of The Cloud Platform? AWS Vs. Google Cloud Vs. Azure
6. Not using modern Languages
Modern programming languages such as Java, Python, or NodeJS offer several advantages over traditional languages such as C# or PHP. They are easier to learn, less error-prone, and provide better performance.
7. Not adopting Microservices Architecture
Microservices architecture is becoming increasingly popular among organizations looking to adopt DevOps. Microservices help separate concerns within an application and enable each service to run independently.
8. Not using Docker Containers
Docker containers allow developers and operations teams to easily create and share images. This makes it easy to develop, test and deploy applications.
9. Not using GitLab
GitLab is a free open-source project hosting platform that allows users to collaborate on projects via Git repositories. It’s ideal for DevOps teams looking to implement Continuous Integration and Continuous Deployment (CI/CD).
Why Do IT Companies Are Adopting Container Technologies | Cloud Adoption
10. Not using GitHub
GitHub is a web-based version control system that helps teams collaborate on projects. It provides features such as issue tracking, pulls requests, wikis, discussion boards, etc.
11. Not using Jenkins
Jenkins is an automated continuous delivery tool that helps teams quickly set up builds and tests. It also supports multiple platforms, making it easy to integrate into existing workflows.
12. Not using Kubernetes
Kubernetes is an open-source container orchestration system that helps IT departments scale their applications efficiently. It offers built-in services for load balancing, scheduling, networking, logging, metrics collection, and more.
Cloud Migration Service | CI/CD, Agile, And DevOps | Best DevOps Strategy Implementing
13. Not using AWS
AWS is one of the most widely used cloud computing platforms today. It offers various services for storing data, running websites, providing email services, etc.
14. Not using Azure
Azure DevOps is another major cloud provider offering similar services as AWS. It has its own unique set of tools though.
15. Not using Terraform
Terraform is a free and open-source infrastructure automation tool. It helps DevOps engineers build, provision, and configure servers in different clouds.
Solutions
1. Use modern technologies
2. Adopt microservices architecture
3. Implement CI/CD with Jenkins
4. Integrate your development environment with GitLab
5. Use Docker containers
6. Use GitHub
7. Use GitLab
8. Use Jenkins
9. Use GitHub
10. Use AWS
11. Use Azure
12. Use Terraform
Conclusion
The above list shows that there are many common mistakes made by DevOps practitioners. However, these mistakes can be avoided with proper planning and training. The best way to avoid these mistakes is to have a clear understanding of what DevOps really means.