Is DevOps in demand? The answer is yes and is very much so. In fact, DevOps has been in demand for a few years now and doesn’t seem to be slowing down. According to a report, the DevOps job market will grow at a rate of 18.95% per year, reaching a market value of USD 12 million by 2026.

As technology evolves, so must the methods we use to create and maintain it. And with the rise of DevOps – a collaborative approach to software engineering that emphasizes communication, automation, and integration between developers and operations professionals – companies are searching for engineers with the necessary skills to work in this new paradigm. 

Discover the DevOps job trends and how you can take advantage of these opportunities.

The Top 13 DevOps Job Trends

1. Demand for DevOps remains high

There is a growing trend of DevOps-related job titles appearing across the software engineering field. This is likely due to the increasing demand for DevOps professionals as more and more organizations adopt DevOps practices. Some of the most popular DevOps job titles include: DevOps engineer, DevOps architect, DevOps manager, and DevOps consultant.

As the demand for DevOps professionals continues to grow, so too do DevOps salaries. According to recent data, the average salary for a DevOps engineer is now over $100,000 per year. This represents a significant increase from previous years when the average salary for a DevOps engineer was closer to $80,000 per year.

2. Cloud-native infrastructure

Many organizations are moving to a cloud-centric platform to support cloud-based apps and work processes. Businesses should implement the Cloud Management Platform (CMP) as quickly as possible on a large scale. Adopting and changing CMP for DevOps allows businesses to have a stronger foothold in their cloud operations. This would enable them to better manage and utilize their cloud computing resources. Improved cloud security, better resource usage, and efficient risk mitigation are all advantages of CMP adoption.

3. Increased automation

As DevOps continues to grow, so does the demand for automation. Automating DevOps processes can help organizations improve efficiency and quality while reducing costs. There are a number of tools available to help businesses automate their DevOps processes, such as Puppet, Ansible, and Chef.

Continuous delivery and integration are key practices in DevOps that help ensure that code changes are quickly and efficiently deployed to production environments. By automating the build, test, and deployment process, businesses can shorten their release cycles and get new features and updates to customers faster.

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Fig. 1. Big data and analytics are used to improve DevOps strategies
(Source: Freepik)

4. Big data and analytics

Big data and analytics are becoming increasingly important in DevOps. Organizations are using data to improve their understanding of DevOps processes and to make better decisions about how to optimize those processes. Big data can also be used to identify trends and patterns that can help businesses improve their DevOps strategies.

5. DevOps as a Service

DevOps-as-a-service (DaaS) is an emerging trend that is becoming increasingly popular. DaaS providers offer DevOps services, such as infrastructure provisioning and management, application development and deployment, and monitoring and logging. Professional DevOps teams manage their clients’ entire application development lifecycle from start to finish. This trend is being driven by the increasing popularity of cloud-based DevOps solutions.

6. Security

Security is a critical concern for businesses of all sizes. As DevOps continues to grow, so does the need for security solutions that can help organizations protect their DevOps infrastructure and data. A number of vendors are offering DevOps-specific security solutions that can help businesses secure their DevOps environments.

7. Infrastructure as code

Infrastructure as code is a DevOps practice that allows infrastructure to be managed and provisioned using code, rather than manual processes. This approach can help simplify and automate complex tasks, such as server provisioning and configuration management.

Infrastructure as Code (IaC) goes far beyond DevOps automation. Infrastructure as Code automates resource management and provisioning by using code, instead of using configuration tools. As environments become more complex, managing infrastructure becomes more difficult and susceptible to human error. A key benefit of the IaC approach is that it allows for standardization of infrastructure and rapid implementation.

8. ChatOps

ChatOps is a DevOps practice that uses chat applications, such as Slack or Hipchat, to communicate and collaborate on DevOps tasks. By integrating DevOps tools and workflows into chat applications, teams can streamline their DevOps processes and improve communication and collaboration.

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Fig. 2. AI and machine learning are being used to automate DevOps processes
(Source: Freepik)

9. The growing interest in MLOps and AIOps

Two of the hottest topics in DevOps are MLOps (machine learning operations) and AIOps (artificial intelligence operations). These new techniques provide visibility into huge pools of data, which automatically provides insight into problems, their root causes, and solutions to fix them. This is a major advantage over traditional data science techniques which can often be slow and cumbersome. 

MLOps (machine learning operations) is a set of practices that combine machine learning and software development in order to automate the construction, training, deployment, and management of machine learning models. AIOps (artificial intelligence operations), on the other hand, is a set of practices that focus on the application of artificial intelligence within an organization in order to automate IT operations.

As more and more organizations collect and generate data, they need to be smart about how they organize and analyze it. MLOps/AIOps can help with this by automating many of the tasks involved in data management.

DevOps is all about automation. And what’s more automated than using machine learning to automate DevOps tasks? By using MLOps and AIOps, DevOps teams can take advantage of the latest advancements in machine learning and artificial intelligence in order to automate their DevOps processes. This not only saves them time and effort but also allows them to focus on more important tasks.

So, if you’re looking for a trending area in DevOps, MLOps and AIOps are definitely two areas to keep an eye on.

10. The rise of GitOps

With the increasing popularity of Kubernetes and other container orchestration tools, more and more organizations are looking to adopt a GitOps workflow. By using Git to manage clusters and deployments, developers can easily collaborate on code changes and get feedback from operations teams before they are deployed.

GitOps, a recent addition to the DevOps workflow, is a solution for automating and controlling infrastructure. GitOps is a Kubernetes-based paradigm that lets developers and IT operations teams utilize Git to manage clusters and deliver applications. By implementing a Git workflow in operations and development teams, developers can use Git pull requests to manage infrastructure and software deployment.

11. The popularity of DevOps certifications 

Another trend that is becoming increasingly popular among DevOps professionals is the pursuit of DevOps certifications. These certifications can help professionals stand out from the crowd and demonstrate their expertise in DevOps practices. Some of the most popular DevOps certifications include AWS Certified DevOps Engineer, Google Cloud Certified Professional Cloud Developer, and Azure DevOps Engineer.

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Fig. 3. FinOps optimizes the company’s financial performance during software development
(Source: Freepik)

12. Integration of FinOps

One of the biggest challenges facing DevOps teams today is the increasing complexity of their applications and infrastructure. As application architectures become more distributed and microservices-based, it becomes harder and harder to keep track of all the different moving parts and how they impact your bottom line. 

As organizations strive to better manage their development costs and implement the right solutions across the organization, they are turning to FinOps. By building a cross-functional team that closely monitors spending and utilizing innovative cloud governing platforms, organizations increase the visibility of their costs and metrics so that they can make smarter decisions. This enables organizations to apply best practices in cost optimization, whether it is capacity planning, sizing correctly, or negotiating mandatory use discounts. 

FinOps is a relatively new term that is used to describe the process of monitoring and optimizing an organization’s financial performance. This includes things like tracking spending, identifying cost savings opportunities, and negotiating discounts with vendors.

So far, FinOps has been very well received by the DevOps community. Many organizations are seeing the benefits of implementing a FinOps strategy, and job demand for DevOps professionals with FinOps experience is on the rise. If you’re interested in DevOps and have a financial background, FinOps is definitely an area you should explore.

13. Increasing interest in chaos engineering

Chaos Engineering is definitely trending in the DevOps industry. In fact, it’s one of the hottest topics in DevOps right now. 

Chaos engineering is all about deliberately causing disruptions in order to test a system’s resilience. By doing this, you can identify vulnerabilities and potential points of failure before they cause a real problem.

This approach is becoming increasingly popular as organizations realize that traditional testing methods are no longer adequate in today’s complex, distributed systems. With the rise of microservices and containers, it’s simply too difficult to predict how a system will behave in all possible scenarios.

Chaos engineering allows you to test your system in a more realistic way, by simulating real-world conditions. This helps you to build more resilient systems that are better able to withstand unexpected events.


Where Can You Get Trained For DevOps?

The DevOps job market is rapidly growing and there is a constant demand for DevOps engineers. The reason for this is that DevOps helps to speed up the software development process and delivery times. 

Darey.io can help you get ahead in your DevOps career through our Master Class Training & Mentorship Program. What you will get is knowledge and skill that are equivalent to 3 years’ worth of experience and education.

Our platform focuses on giving you a real-world DevOps experience through hands-on activities and projects, rather than just watching videos. This will give you the practical skills and knowledge that employers are looking for.

So, if you’re wondering whether DevOps is in demand, the answer is yes! And Darey.io can help you start your DevOps career today. Contact us to know more about our programs.

written by
Dare Olufunmilayo

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