#devopsconsultants

The best way to automate DevOps is with DevOps automation.

The advantage of automation is that it focuses on the demand-side factors within our control. DevOps automation-first solutions can optimize operations and allow leaders to focus on 'demand-side' factors. An optimized DevOps process makes DevOps consultants automates slow, repetitive tasks. 

Every aspect of industry is being transformed by technology, and digitalization and automation have flourished in recent years. DevOps has proven to be an essential software development methodology for successful digital transformation.

According to a recent market survey, the DevOps market will exceed $20 billion by 2026, growing at a 24.7 percent CAGR between 2019 and 2026. DevOps has facilitated faster and more dependable software development, delivery, higher quality, and greater customer satisfaction.

DevOps is also constantly evolving in order to meet the changing demands of the corporate environment. Let's take a look at the future of DevOps and the trends to look out for.

Computing without a server

The massive capital and operational costs of server infrastructure will drive an increase in the adoption of serverless architecture by DevOps teams. Several DevOps teams are collaborating on modular components that provide an overview of the pipeline. Moving these modular components to serverless architecture will enable groups to eliminate a few errands identified with pipeline architecture and focus on product deployment and development.

Serverless computing simplifies overall DevOps operations by centralizing the entire software life cycle, from development to deployment, testing, and maintenance. Serverless computing also reduces the developer's workload by handling server maintenance tasks such as cloud monitoring and system updates. Other key advantages include flexibility, dependability, speed, and cost-effectiveness.

Architecture of Microservices

In the IT industry, microservices architecture is gaining popularity as an alternative to traditional monolithic architecture, and this trend is expected to continue. Microservices architecture is a method of dividing computer systems into segments that can be scaled on demand. The next evolution of service-oriented architecture (SOA) is the microservices architecture pattern, which structures an application as a collection of coupled services. If one component of the application fails, microservices make it simple to identify and resolve the problem without disrupting the entire application.

DevOps and microservices architecture enables decentralized teams to innovate quickly, maintain control over their tech stack and standards, track performance metrics, supervise the development and release cycles, and reduce overall consumption time through shorter software release intervals.

Platforms and applications with low/no code

Many organizations have turned to low-code/no-code development to deploy applications quickly to keep up with the demand for new applications and features. Adopting a low-code approach with DevOps is revolutionary. It allows developers to be more agile and provides the organization with a competitive advantage in the fast-paced, demanding software market.

With the help of visual interface integration, low-code applications enable non-technical 'citizen developers' to contribute to software development. In addition to end users, developers and DevOps engineers will play an important role in this trend by utilizing low-code platforms and tools that provide drag-and-drop elements and other extensions. These low-code application development tools help with app ideation, analysis, software design, code development, quality assurance, deployment, and documentation, among other things.

DevSecOps

Many large corporations are incorporating and automating security into their DevOps processes. The transition from DevOps to DevSecOps is expected to gain traction in the future. The DevOps market is expected to reach $5.9 billion by 2023, growing at a CAGR of 31.2 percent during the forecast period.

To ensure application security, more companies will embed security controls earlier in the software development cycle. In 2022, tools and frameworks will simply integrate with CI/CD pipelines, and the use of testing tools will increase. DevSecOps enables developers to track, monitor, and remediate security flaws throughout the development process, improving delivery speed and quality.

GitOps and Kubernetes

Kubernetes is an open-source container orchestration platform that is emerging as an operations infrastructure trend. In 2022 and beyond, Kubernetes will expand further into the software development space. It will make it easier to launch a local Kubernetes cluster on a developer's machine. Through infrastructure-as-code (IaC) scanning, Kubernetes security is expected to take center stage as well.

GitOps is a Kubernetes-related infrastructure trend that enables developers and IT administrators to use Git to manage clusters and deliver efficient, secure applications that are free of misconfigurations. It automates the release of incremental updates, and consistent delivery enables developers to rapidly build, test, and deploy software.

AI and machine learning

Artificial intelligence and machine learning have already altered the way businesses conduct themselves. AI/ML is expected to further streamline and accelerate every phase of the SDLC by 2022. It enables DevOps teams to improve their performance through intelligent automation, better feedback, and alert management.

As the market evolves, advanced analytical methods such as predictive analytics are becoming increasingly important. AI can be used to conduct proactive investigations of the DevOps pipeline to identify problems and offer potential solutions. Deep learning, data mining, statistics, and modeling are also possible with AI and ML integration, becoming an integral part of your business' workflow.

Conclusion