Organizations may build and distribute software more quickly and effectively using the DevOps methodology. Collaboration is key to growth and success amongst software engineers, operational staff, and other stakeholders. Collaboration between developers, operations staff, and other software delivery value chain stakeholders is possible through automating and improving IT procedures.
Although this technology concept is in its second decade, the emphasis has shifted beyond the distribution of products. Value delivery is now a key focus in addition to development and operations. It can concentrate on bringing customers new services and products that offer value by removing enterprises’ and customers’ limits.
The Rise of Automation Will Open the Door for New DevOps Techniques
Since its beginnings in 2009, DevOps has reached a mature stage and symbolizes the shift in IT culture toward a more agile and system-centric approach. The development team prioritized releasing the application promptly following market demand. In contrast, the operation team was required to deploy and manage the software without contacting the development team.
DevOps encouraged businesses to improve collaboration between the operation and development teams. DevOps, a combination of people, processes, and technology to coordinate and collaborate to create better, more reliable products, is a compound of development (Dev) and operation (Ops).
The ability to more effectively adapt to consumer requests, improve the effectiveness of goods, and accomplish goals more quickly is made possible by DevOps methods and tools. It is crucial to achieving objectives more quickly, such as quickening time to market and preserving system dependability.
DevOps has two primary antecedents, which are:
ESM (Enterprise System Management): By automating monitoring duties, ESM aims to regulate, manage, and monitor the management of IT infrastructures and applications.
Agile development: Agile technique uses a self-organizing team that collaborates with a cross-functional team to deliver small chunks of functionality, often to deliver the right product. Agile software development has gained popularity as a strategy for planning and managing projects iteratively while giving value to customers, earning their confidence, and getting regular feedback.
Developers are embracing new DevOps trends, particularly the automated integration of infrastructure, changing the DevOps methodology. This requires a solid foundation in programming and scripting and strong infrastructure management skills.
Top DevOps Trends To Look For In 2022 & Beyond
As more businesses become aware of the value of the DevOps concept, they begin to incorporate it into their daily operations. The remainder is soon to become DevOps-driven.
Some of the top DevOps industry trends to keep your company viable in the current competitive landscape are the ones listed below:
Microservices (MS)
The term “microservices” describes architectural patterns in which specific applications are assigned to variously deployable services. MS increases the application’s delivery speed by utilizing a DevOps approach, a CI/CD (Continuous Integration/Continuous Delivery). This architecture enables the DevOps team to group smaller building pieces and package their functions.
MS enables the DevOps team to create separate functionality at the same time. Cross-functional teams can collaborate to build, test, and maintain apps rather than transferring code between several teams.
DevSecOps
Enterprises started considering security when designing because they intended to release the program to the market without sacrificing security, which was more than an enhanced development process. DevSecOps emerged as a culture shift emphasizing the importance of safety to advance the development process.
To govern real-time troubleshooting for containers and microservices through continuous monitoring, evaluation, and analysis, DevSecOps tightly connected infrastructure and app levels. According to Verified Market Research, the Global DevSecOps Market is anticipated to reach USD 17.16 billion by 2027, expanding at a CAGR of 30.76% from 2020 to 2027.
Rise of Service Mesh
The service mesh infrastructure layer, which is integrated into applications, regulates how different components of the applications share data. They offer observability, stability, and security aspects, which are particularly beneficial for systems like Kubernetes.
As successive application levels are dissected, it measures service-to-service communications’ performance, which often occurs in microservices. Later, more dependable service requests are created using this performance parameter.
It does more than scale the application infrastructure; it also gives DevOps teams the desired flexibility and independence.
As a result, developers can better concentrate on enhancing business value, programs are more resilient to outages, and performance measurements can offer advice on improving communication in the runtime environment.
Expanding DataOps
The demand for increased levels of automation and scaling has arisen due to pandemics and the rise of the “work from home” lifestyle. Agile development approaches are used in DataOps to quickly and efficiently produce, distribute, and optimize data products.
The goal of DataOps, a subset of AIOps and MLOps, is to increase data quality and analytics while speeding up the processes involved in gathering, processing, cleaning, storing, and managing data.
DevOps is an advanced software development and deployment method that combines the efforts of engineering and IT operations teams to cut costs and time. DataOps, on the other hand, is a step up from DevOps since it combines the data team with the DevOps team to acquire data, transform models, and create insights that can be used.
GitOps For Automation
The architecture of a corporation can be defined, created, and updated all from the same repository, or source, known as the git repository. DevOps has developed into GitOps because the former incorporates proper design and DevOps procedures.
A very effective workflow template for managing contemporary cloud infrastructure is called GitOps. The DevOps community accepts and releases GitOps solutions for non-Kubernetes systems, despite its primary concentration on controlling the Kubernetes cluster.
GitOps can benefit development teams in various ways, such as enhancing system connectivity, visibility, stability, and reliability. GitOps allows the DevOps team to swiftly test new infrastructure settings, which can significantly boost their productivity.
The team may use the Git history to roll back the changes to a known good state if the new changes don’t operate as planned, which makes them highly adaptable in DevOps practice.
IaC (Infrastructure-as-Code)
A crucial DevOps technique that makes use of continuous delivery is IaC. IT infrastructure provisioning is automated using high-level descriptive coding. With the deployment of hundreds of applications due to digitalization, infrastructure automation, cost control, risk mitigation, and quick response have never been more critical.
IaC can help developers in this situation by offering a competitively-paced software delivery lifecycle.
IaC allows the DevOps team to alter the source code rather than the target when making changes to the environment description and version of configuration models, which are well-documented code formats. These advantages enable the DevOps team to deliver and scale an environment for apps that is stable.
IA (Infrastructure Automation)
The management of multi-cloud and hybrid cloud architecture is made possible by IA tools. As a result, it primarily consists of technology for DevOps approaches’ automatic provisioning, deployment, and testing of infrastructure.
When users encounter delayed provisioning, or slow response and turnaround times, you require IA.
CCA (Continuous configuration automation)
As IT teams struggle to address the delays of updates, patching, and resource delivery, the need for automation has increased. CCA (Continuous configuration automation) has become more popular among businesses to automate delivery and setup.
A process for automating the deployment and configuration of settings and software for physical and virtual data centre hardware is known as continuous configuration automation.
CCA is frequently a part of the DevOps toolchain, which helps with application delivery and deployment in DevOps methods, pushes for faster development of dependable software, delivers precision, efficiency, and flexibility, and addresses the challenges of application configuration management.
Conclusion
DevOps is one of the finest approaches for businesses to enable agility, improve quality, and accelerate time to market. But DevOps must occasionally update and incorporate cutting-edge technologies and methodologies to significantly impact the shifting market demands.
It won’t be incorrect to state that in an entirely digital environment, the future of DevOps resides in self-service capabilities, creating hybrid architecture, edge prioritization, AI and ML integration, and becoming cloud-centric after carefully examining the DevOps trends and forecasts for 2022.
