In DevOps, the top priority is to deliver high-value features in short periods of time through cross-team collaboration. As a result, a DevOps engineer needs specific interpersonal, tooling and technical skills in order to be successful. In other words, a DevOps engineer requires a mix of “soft” and “hard” skills.
If you already possess some of these DevOps skills, you’re in great shape. If not, this should provide a framework to help you improve and refine your existing skill set.
The days of companies being concerned about proprietary operating systems are long gone. We are now living in the Linux era. The majority of businesses prefer to run their apps on Linux. As a result, a DevOps Engineer's ability to work with the Linux operating system is critical.
In addition, most configuration management technologies, such as Puppet, Chef, and Ansible, have Linux master nodes. DevOps is a type of automation that incorporates infrastructure provisioning automation.
As a result, a DevOps Engineer must be able to work with any scripting language and be proficient in at least one (preferably Python). As a result, Linux and Linux-based scripting would be an unavoidable DevOps skill set.
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The second set of DevOps skills relate to the tools and technologies. DevOps methods are carried out in stages, each with its own set of tools to aid the process. The main stages are as follows:
1. Source Code Management
Developers generate and change software codes on a regular basis. Source code management software is used to store code, integrate new code into existing code, manage code versions, and so on. It also makes it easier for team members to work on source code. The most popular tools for this are Git, Github, and Gitlab.
2. Management of Configuration
Software and operating system configurations are tracked via configuration management. It also aids in the management of thousands of server setups. It's as simple as clicking a button or running a single command on the administration server. The configuration management tools connect to the target servers remotely and push the configuration changes, making life easier.
3. Integration that is ongoing
The act of automating the code integrations from various developers into a single piece of software is known as continuous integration, or CI. The main Continuous Integration tools are Jenkins and Bamboo.
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4. Ongoing Testing
Continuous testing is the technique of minimising the time it takes to receive feedback after a code test. Automation testing tools are used to test the code in the development environment. The most popular Continuous Testing tools are Selenium, TestComplete, and TestingWhiz.
5. Constant surveillance
Continuous monitoring is used to keep track of things like application performance, downtime, and error logs. Nagios, Zabbix, Splunk, and other tools are commonly utilised.
Containerization is the virtualization of an operating system such that multiple containers running different programmes can use the same operating system and resources. This is in contrast to the usual method of hardware virtualization, which involves sharing the system hardware among multiple virtual computers. Containerization's leading providers include Docker, Kubernetes, and vagrant.
Continuous Integration And Continuous Delivery or abbreviated as CI/CD is the essence of DevOps. It is the practice of continuously integrating all the code from different developers, continuously testing them, and deploying the successful code to production. Deploying to production will mostly require spinning up new containers, which is again automated using scripts, one of the most demanding DevOps skills required in 2022.
Previously, deploying IT infrastructure was a time-consuming, labor-intensive procedure. With the advent of cloud computing and containerization technologies, developers can now provision infrastructure using an automated script. The script runs the necessary tasks and manages the configuration using one of the available configuration management tools. In a matter of seconds, the appropriate application platform or infrastructure is given.
Unlike popular belief, DevOps is neither a technology nor a tool. It's a methodology that doesn't follow a set of rules. As a result, businesses can embrace the methodology by adapting the framework to their needs. The primary goal of the DevOps technique is to bring the Development and Operations teams closer together in order to bridge the gap between them and complete work more quickly. Companies can provide high-quality software significantly faster when they use the DevOps technique. To implement this process, use this DevOps skill and produce software products on schedule, all of the tools and techniques mentioned above are used.
With the advent of DevOps paradigm, soft DevOps skills are becoming increasingly important in the IT business. Most businesses choose an Agile approach based on DevOps principles, which allows teams to work at a high rate and generate deliverables quickly in order to fulfil customer expectations. Soft skills are becoming increasingly important in the DevOps era.
Beyond “soft” skills, DevOps engineers also need to be proficient in monitoring production environments and performance measurements, as well as security and cloud administration. These DevOps skills help ensure that new builds run properly in production. In many organizations, building Infrastructure as Code (IaC) enables velocity and automation. Thus, a DevOps engineer should know such technologies (or, at a larger organization that includes multiple DevOps engineers, each one must have at least passable knowledge on all areas and the ability to collaborate with those who have more complete expertise in specific areas).
Finally, DevSecOps — which integrates security practices into DevOps processes — is becoming an essential pillar within the pipeline. Since DevOps requires that code ships quickly in small chunks, DevOps engineers should take an active role in ensuring security of the delivered code continuously.
DevOps brings a collaborative approach to software development, testing and deployment. It puts small teams with varying objectives together to work toward more efficient and high-quality code releases. There cannot be any barriers between the different personas, making communication skills (both verbal and written) a necessity for a successful DevOps engineer.
Engineers need to speak regularly with internal management teams involved in the DevOps process and stay familiar with the objectives, roadmap, blocking issues and other project areas. In addition, they need to effectively communicate with customers around support issues.
Communication is critical, but so too is the ability to collaborate. DevOps engineers should be team players and support their colleagues throughout sprints or software iterations. This is about more than just being a good teammate — you should also have these DevOps skills to mentor and advise team members on the best ways to deliver code, what tools to use when coding and how to test the latest features.
DevOps relies on individuals across functions working together toward the same objective — rapid, continuous delivery of high-quality code. To succeed in this endeavor, DevOps engineers are the engine that makes the team go. They are the ones who enable practitioners through automated tools, testing, orchestration techniques and communication to efficiently satisfy their customers.
As the market continues to evolve, it is only natural for the role of the DevOps engineer to grow and absorb more responsibilities — especially from the non-functional bucket, such as security and monitoring analytics. Start by focusing on the DevOps skills and responsibilities laid out here and you will find yourself in high demand.
If you're new to the DevOps realm, the list of DevOps skills may appear daunting. However, these are the core DevOps engineer abilities that employers are seeking for, and mastering them will give your resume a leg up. We hope that this post helped to clarify the DevOps abilities needed for a successful career.