In recent years, the digital transformation has accelerated quickly. Many businesses are accelerating their digital transformation process by utilizing the power of the cloud and DevOps services. With so much change in the industry, it’s time to see how DevOps is evolving and how it manages and operates change throughout its lifecycle.
DevOps has existed for quite some time as a convergence of development and operations. It has made great strides since 2009 and is now entering its second decade. A research report from Global Market Insights presents promising numbers for the future of DevOps: “The Market size of DevOps exceeded by 4 billion dollars in 2019, and is poised to expand at over 20 percent CAGR between 2020 and 2026.”
DevOps trends are becoming increasingly apparent paving the way for the delivery of high-quality software for efficiency and agility. We cannot predict with certainty how the procedure will change in the next few years. Regarding the current development of DevOps consulting company, Urolime lists the trends that will shape the future of DevOps.
All businesses want their applications to perform more efficiently, experience zero downtime and scale quickly as traffic increases, but it can be challenging with monolithic applications. With the advent of containers, many cloud providers have found that a functional serverless architecture gives developers more flexibility to build applications without worrying about operations.
Serverless computing simplifies all DevOps operations, including the entire software lifecycle, from development and deployment to testing and maintenance. Other important USPs are flexibility, cost-effectiveness, reliability, and speed. Serverless computing also supports server maintenance, such as cloud monitoring and system updates, reducing the workload for DevOps engineers.
A popular application security (AppSec) technique known as DevSecOps emphasizes the importance of incorporating security early in the software development lifecycle (SDLC). To ensure application security organizations will incorporate security tests early in the software development cycle. Post-production reviews, which are time-consuming and frequently expensive, can be avoided by incorporating testing and risk mitigation early in the CI/CD cycle. Testing tools will be improved, and tools and frameworks are only now beginning to be integrated into CI/CD pipelines.
As an alternative to conventional monolithic structures, microservices architectures are gaining popularity in the IT industry, and predicted this trend to continue. In the realm of domain-centric design, continuous delivery, platform and infrastructure automation, scalable systems, multilingual programming, and persistence, among the architectural patterns that have arisen are DevOps and Microservices. One of the main advantages of microservice architectures is their small size, which enables the creation of configuration services from the start by one or more small teams separated by service borders, making it simpler to scale development efforts when necessary.
The year 2022 will be significant because machine learning (ML) and artificial intelligence (AI) will continue to rank among the most revolutionary and disruptive technologies ever made. As the market expands, advanced analytics methods like predictive analytics become increasingly crucial. DevOps channels can be proactively analyzed by AI to spot problems and suggest potential fixes. Deep learning, data mining, statistics, and modeling are all becoming crucial components of business operations as a result of the integration of AI and ML.
Low-Code-No-Code Applications and Platforms
Low-code and no-code applications are the preferred technology in digital workspaces. Application development is no longer the main focus; instead assembly and integration are. Teams from businesses or customers can create their applications by employing low-code or no-code techniques. Many organizations are prioritizing the digital transformation of their daily operations and implementing low-code/no-code technologies due to cost benefits and lower barriers to entry for technology. Enterprise application accelerated by low-code development is assisted by built-in libraries, reusable app components, and web-based drag-and-drop capability. Businesses may now launch applications more quickly and make modifications quickly.
Kubernetes and GitOps
Developers and IT managers can utilize Git to manage clusters thanks to the Kubernetes-specific architecture trend known as “GitOps.” Applications are deployed quickly and securely without misconfiguration. Through an automated procedure that synchronizes the state between version control and the runtime environment, GitOps treats each piece of software or infrastructure as one or more files in the version control system. Kubernetes consulting companies opines that it requires orchestration technologies, which will advance the field of software development after 2022.
Despite all the immediate changes that continue to take place in the DevOps industry, some of these issues will slow it down.
- Fully automated testing and QA
- Continuing deployment
- Touchless automation for software
The future of DevOps technology is delivered in a multi-cloud environment that empowers teams to innovate in a supportive and productive environment. New tools and platforms will soon be available to address the myriad details of day-to-day implementation. The above changes, along with automation, AI, and other modern technology changes to come, will make DevOps an interesting path.
DevOps tools and principles play an increasingly important role in achieving this goal as organizations move to the cloud, breaking down the silos that plague large monolithic software environments, increasing automation, and reducing turnaround times, and delivery.
However, most organizations struggle to translate these compelling principles from small success stories to large-scale operational changes. How it articulates the importance of technology innovation to business are becoming more aligned as DevOps evolves. The role of automation and technology in reducing developers’ efforts and focusing on innovation and customer satisfaction.