Over the past decade, DevOps has transformed from a niche trend into a massive movement with widespread adoption across industries. What began as a practitioner-led movement has now grown into a massive ecosystem of adopters, experts, vendors, and consultants. Today, DevOps is the standard approach for managing IT in all forms, from operations to software development to security.
Over the past decade, DevOps has transformed from a niche trend into a massive movement with widespread adoption across industries. What began as a practitioner-led movement has now grown into a massive ecosystem of adopters, experts, vendors, and consultants. Today, DevOps is the standard approach for managing IT in all forms, from operations to software development to security.
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Common DevOps Challenges and Solutions The Top 10 DevOps Trends in 2023 Kubernetes Cloud-Native Environments DevSecOps AIOps CI/CD IaC and GitOps Multi-Cloud Strategies Low-Code Solutions Microservices Architecture Hyper-Automation |
In this article, we will explore the key data, trends, and challenges that are shaping the DevOps landscape in 2023 and beyond. By examining these factors, Templeton provides valuable insights into the future of DevOps and how organisations can stay ahead of the curve.
The DevOps market has continued to grow at an astonishing rate, from $8.88 billion in 2022 to $10.84 billion in 2023. By 2030, this value is projected to reach $57.9 billion with a compound annual growth rate (CAGR) of 24.2%. However, as the industry expands, it also faces new challenges and trends. But what exactly is DevOps, and why is it important for businesses?
DevOps is not a single tool or technology but a set of best practices that can be implemented using various tools and technologies. These best practices include continuous integration, continuous delivery, and infrastructure as code. By automating these processes, DevOps practitioners aim to speed up the software development process and improve the quality of software releases.
The central principles of DevOps methodology include cross-functional collaboration, automation, and shorter development cycles. DevOps teams typically include engineers, IT operations specialists, cybersecurity professionals, software architects, and QA testers. The team uses tools that enhance cooperation across the development life cycle.
Automation is a key aspect of DevOps, with advanced teams utilising continuous integration and deployment (CI/CD) in their workflows. Additionally, DevOps practitioners use fully automated testing to reduce the risk of human error and increase the speed of testing.
Shorter development cycles are another important component of DevOps. This methodology and the accompanying tools support shorter, iterative development cycles. This approach breaks complex code bases into more manageable pieces so multiple developers can work in the production environment without major disruption.
Overall, DevOps is a powerful set of techniques and best practices that can improve the speed and quality of software development. By focusing on cross-functional collaboration, automation, and shorter development cycles, DevOps practitioners can develop new applications more quickly and efficiently while maintaining high standards of quality and reliability.
DevOps has come a long way in the past decade and has transformed the software development and delivery landscape, empowering organisations to innovate and deliver value to their customers at an unprecedented pace. DevOps is now widely recognised as a critical success factor for organisations that want to deliver quality software faster. This transformation has been driven by several factors, including the increasing recognition of DevOps benefits such as faster delivery, improved quality, and increased agility.
The rise of cloud computing has also played a significant role in the growth of DevOps. Cloud computing has made it easier to adopt DevOps practices and implement them at scale. As a result, organisations that have embraced DevOps have significantly improved their software development and delivery processes, becoming leaders in their respective industries. DevOps has also evolved to encompass security and compliance concerns, which are critical in today's complex IT environment. With DevOps, organisations can automate security testing and compliance checks, ensuring their software is secure and meets regulatory requirements.
The future of DevOps jobs and demand looks promising. As more companies are embracing the benefits of DevOps practices, they’re increasingly searching for talented DevOps professionals who can help them streamline their software development and delivery processes.
Undoubtedly, DevOps jobs will continue to be in high demand, with employers seeking professionals with experience in automation, continuous integration/continuous delivery (CI/CD), cloud computing, and agile methodologies. According to LinkedIn, DevOps Engineer was one of the top ten most in-demand jobs globally in 2022 and the first quarter of 2023, and the demand will continue to be high in the following years for:
To understand where DevOps is heading, it is crucial to understand the current challenges in the field. Below are some common DevOps challenges and solutions to overcome them.
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Over the last decade, DevOps has undergone significant changes. Modern-day DevOps goes beyond automating tasks or relying on developers to write scripts for processes. It is a culture that emphasises improving business outcomes through the adoption of DevOps practices. Looking ahead, the success of DevOps will hinge on improved communication and increased job opportunities.
As we move deeper into 2023, we can see several trends shaping the future of DevOps, and the landscape is continually evolving. Below are some of the emerging technologies and methodologies that are likely to have a significant impact on the next chapter of DevOps.
According to Datadog's 2022 survey, Kubernetes (K8s) was the preferred technology for deploying and managing containerised environments in nearly 50% of surveyed organisations. Additionally, IBM's research found that approximately 85% of container users experienced increased productivity due to benefits such as source control, automated scaling, and the ability to reuse code across systems.
Kubernetes is a widely-supported container orchestration platform developed by Google and backed by major cloud providers such as Amazon Web Services, Microsoft Azure, and Oracle Cloud. Being open-source, it boasts an active community that regularly introduces new add-ons to extend its functionality.
In 2023, DevOps teams are expected to continue adopting serverless or cloud-native environments hosted by third-party providers. This approach removes the need for companies to invest in expensive hardware purchases, configuration, and maintenance. Instead, cloud providers handle server management, infrastructure scaling, and resource provisioning.
Using a serverless environment allows developers to avoid the tedious aspects of system maintenance, while companies can save time and money. Cloud-native technology relies on microservices, containers, and immutable infrastructure, which offers several advantages to DevOps professionals. By reducing dependencies on a single application or service, this approach enables faster iteration. Additionally, immutable infrastructure allows developers to deploy changes without disrupting production services.
DevSecOps is a shift-left approach that integrates continuous security testing into every stage of application development. According to GitLab’s 2022 DevSecOps survey, 42% of teams actively use DevSecOps practices to reduce risks. This approach is closely linked to DevOps, which also relies on version control and CI/CD. By conducting automated security scans at each stage of the development process, vulnerabilities can be reduced before the code is deployed to production. This not only enhances security but also saves money, as issues are generally less expensive to remediate early on.
DevSecOps focuses on security throughout the entire application lifecycle, from design to ongoing maintenance after deployment. It's not just a tool or technology but a set of processes, policies, and procedures that help software development teams build secure applications from the ground up. As software security is a vital requirement for most software systems, DevSecOps is set to gain more attention in 2023.
AIOps is a combination of artificial intelligence (AI) and operations that aims to automate the management and monitoring of IT systems. AI-powered software can identify coding errors, predict issues, optimise code, and automate the management and monitoring of IT systems. Some mature organisations experiment with algorithmic models that detect inefficient coding practices and offer suggestions for optimisation.
In 2022, GitLab’s Global DevOps Survey showed that 60% of DevOps teams used AI and machine learning to scan containers, which is a 10% increase from the previous year. Additionally, 53% deploy these technologies for SATS scans, and 55% use them for DAST scans, which is an 11% year-over-year increase. In 2023, we can expect to see more organisations adopting AIOps to improve the speed and quality of their software delivery.
In 2023, Continuous Integration/Continuous Delivery (CI/CD) is set to transform and revolutionise how businesses operate. Traditionally, CI/CD involves rebuilding a product every time a change is made and then subjecting it to a pre-set testing regimen to ensure that all the alterations work correctly throughout the system. This can be a time-consuming and resource-intensive process.
However, the automation of testing within CI/CD pipelines is expected to gain momentum over the next twelve months, freeing up resources and speeding up the deployment of code into software systems. Moreover, with automation techniques integrated at every stage of the CI/CD pipeline, teams will be able to introduce extra quality factors without slowing down the process.
Automation tools embedded in CI/CD will ensure that all the components of a software product are thoroughly tested before release into production. This will drastically reduce the time it takes to build and deploy a product while also mitigating the risk of errors. As a result, developers will be able to resolve existing problems with patches or launch new features faster than ever before.
Infrastructure as Code (IaC) uses automation to provision infrastructure, while GitOps leverages DevOps automation tools to optimise version control, merge requests, and CI/CD workflows. GitOps is a newer approach to infrastructure and code management in a DevOps pipeline. Unlike IaC, GitOps extends the Git version control system to manage the execution of application workloads, allowing for the definition, testing, and deployment of applications in a single flow. This offers more agility, security, and stability than traditional systems.
With GitOps, network configuration, storage, and deployment environments are automatically optimised. DevOps teams benefit from this by receiving infrastructure updates that are always optimised for continuous deployment. In addition, cross-functional teams can access common standards and vocabulary.
Multi-cloud deployment is a growing trend in which businesses use different cloud providers for different parts of their software and infrastructure. This approach offers several benefits, including improved application performance, reduced costs, and increased flexibility and agility. It's no wonder that 92% of enterprises have already adopted a multi-cloud approach, with many using up to five different cloud providers.
One of the primary advantages of a multi-cloud strategy is that it allows DevOps teams to choose the best environment for each workload, giving them more freedom and control. This approach also makes companies more resilient by reducing their dependence on a single vendor, which can help prevent service disruptions if one cloud goes down.
In addition, a well-designed multi-cloud approach can also improve cybersecurity. Consolidated and modern cloud architectures are easier to refresh than on-premise technologies, and cloud-based technologies work more effectively with broader IT infrastructure contributions. As more companies adopt a multi-cloud approach, we can expect to see continued growth in this area and more tools being built to support it.
Low-code applications are becoming increasingly popular among businesses that seek to accelerate software development while minimising the need for technical expertise. This approach enables greater agility in software development, offering a competitive edge for every development organisation.
Low Code platforms allow businesses to design applications without needing to import coding skills from outside. This means that non-technical professionals can participate in software development from start to finish, offering oversight despite their lack of coding experience. By managing the entire development phase through a straightforward visual interface, non-technical operators can create logic structures and workflows by simply dragging and dropping elements.
This DevOps future trend has been spoken about for years, but its widespread adoption is expected to take place in the coming years as it allows for faster development and deployment without technical know-how.
Another growing DevOps trend for 2023 is the implementation of microservices architecture. This approach involves breaking down the backend of an application into isolated, single-purpose components that can be developed, tested, and deployed by different teams with less overhead.
Microservices also lead to better app performance, reliability, and throughput, as shown in the Accelerate 2022 State of DevOps Report. Loose coupling reduces downtime, allowing developers to work on one microservice without disrupting others or making large-scale changes to different services without the entire system going down.
DevOps teams that use microservices are also more likely to use practices that drive continuous improvement, such as site reliability engineering principles that involve regularly setting and reviewing reliability goals. This approach allows companies to quickly respond to changing market conditions by adding new features or scaling up their operations without affecting the entire application.
Hyper-automation is a buzzword in the tech industry that is gaining popularity. This approach is defined by Gartner as a business-driven process where companies automate as many business and IT processes as possible. The process involves using a range of technologies, including artificial intelligence (AI), machine learning, robotic process automation (RPA), business process management (BPM), integration platform as a service (iPaaS), low-code/no-code (LCNC) solutions, and other decision-making, process, and task automation tools that maximise automation.
Hyper-automation is closely linked to the work of DevOps teams, as it allows them to streamline the software development lifecycle (SDLC) by deploying updates faster and with fewer errors, improving the quality of their CI/CD pipeline, and managing infrastructure, such as servers, with tools like Puppet and Chef.
As hyper-automation gains traction, new automation solutions will emerge to simplify and streamline the SDLC. The goal is to facilitate the process of identifying and automating business and IT processes, increasing efficiency, and reducing human error.
DevOps has been shaped by a range of tools and practices that have emerged over the past decade, with some looking to the future while others are more established. Regardless, their common goal is to deliver software products faster, more cost-effectively, and with greater security.
With the future of DevOps looking bright, we can expect significant changes in the DevOps landscape as we dive deeper into 2023. In anticipation, here are some predictions for the future of DevOps:
Since its inception, DevOps has undergone significant evolution and has become an integral part of modern software development practices. As the industry continues to grow and change, we can expect to witness significant transformations in the DevOps landscape, with an increased focus on automation, collaboration, data-driven practices, security, and platform-agnostic approaches. As software development becomes a more critical aspect of businesses across diverse industries, DevOps will continue to play an indispensable role in enhancing the speed and quality of software delivery.
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