Every business today is run by software. To be competitive, they must deliver new features and products swiftly while maintaining security and governance. Development and operations teams use DevOps concepts to make software delivery more agile, error-free, and rapid. It is impossible to overestimate their impact on software delivery. DevOps is one of the most rapidly developing and disruptive technological concepts today. 

Adoptions such as hybrid cloud, zero-touch automation, artificial intelligence (AI), DevSecOps, and modern techniques to debug and monitor the CI/CD pipelines have acquired great pace with the expansion of microservices and cloud-native technologies. Furthermore, DevOps’ collaborative ideas have helped software firms endure difficult times like COVID. 

DevOps had a fantastic year in 2021, and it looks like it will continue into 2022. According to research and markets, the global DevOps market is expected to reach $4.31 billion in 2020 and $5.11 billion in 2021. Between 2021 and 2026, this value is estimated to reach $12.21 billion, rising at a CAGR of 18.95%. 

DevOps is evolving at a breakneck speed. As a result, businesses should keep a close eye on technological developments and adapt their IT strategies accordingly. The top DevOps predictions for 2022 are shown below. 

Cloud Environments that are Distributed 

Following hybrid and multi-cloud settings, distributed cloud networks have recently gained much traction. Backend services are hosted on separate cloud networks in different geolocations in a distributed cloud environment, with a single pane to monitor and control the complete infrastructure as a single cloud deployment. It enables you to tailor better-performing and responsive service delivery for certain apps while adhering

to local government rules. Distributed clouds provide excellent resilience, preventing data loss and service disruptions by allowing your programs to continue to run even if servers in one location fail. It means you have a 99.99% uptime guarantee. Edge computing can be thought of as a complement to distributed cloud networks. 

All industries benefit significantly from distributed clouds. Autonomous automobiles, for example, can monitor and interpret sensor data onboard while simultaneously relaying engine and traffic data to a central cloud. OTT systems can also use ‘Intelligent Caching,’ which stores material in several formats across multiple CDNs while transcoding operations are handled in the significant cloud. A newly launched popular series can be broadcast in real-time to many mobile devices in the same region. 

Architecture without Servers 

Serverless architecture is a cloud-native architectural paradigm that allows businesses to design and run apps without worrying about provisioning and managing server resources. The cloud provider handles on-demand server and machine resource allocation and administration. The serverless architecture allows for faster and better app deployment, resulting in increased innovation. Apps can be split into different event-based services with obvious observability. As a result, businesses can save money while improving the user experience. 

Serverless computing is evolving quickly. FaaS (Function as a Service) is a new trend based on a serverless architecture that eliminates the need for complex infrastructure to deploy and run microservices apps. Hybrid and multi-cloud deployments, which improve productivity while saving money, are another increasing trend. Another development that enables enterprises to run apps everywhere Kubernetes runs is serverless on Kubernetes. By delivering mature solutions backed by the serverless concept, Kubernetes makes the job of developers and operations teams easier. In data-driven contexts, another paradigm that provides high scalability, faster time to market, and lower overhead and operational expenses is serverless IoT. It’s also changing the way data in serverless systems is protected. 

DevSecOps 

DevSecOps is a DevOps methodology that turns security into a shared responsibility throughout the lifespan of an application product. Previously, security was addressed by a separate team at the end of the product development process. However, in today’s DevOps world, where apps are delivered in shorter cycles, security can no longer wait. As a result, DevSecOps incorporates security and compliance into the CI/CD pipeline, making everyone accountable. By 2022, there will be a greater emphasis on moving security to the left of the CI/CD pipeline. 

As QA teams execute automated testing to verify that non-compliance and security vulnerabilities are efficiently combated across the product lifecycle, DevSecOps

promotes automation and policy-driven security processes. The philosophy of design for failure will be reinvented. 

AIOps and MLOps 

Every firm today, regardless of size or industry, generates massive amounts of data every day. As a result, specific analytics solutions are inefficient in the real-time processing of this data. As a result, artificial intelligence and machine learning algorithms have recently become popular. 

AI and machine learning data scientists rarely use version control systems. AIOps and MLOps are now also using CI/CD and autonomous infrastructure provisioning. It implies that you may update your algorithms and track how changes affect the environment. You can always go back to a previous version if something goes wrong. 

Code-based infrastructure (IaC) 

Another emerging idea that will become widespread in 2022 is Infrastructure as Code. Infrastructure as Code (IaC) is a technique for managing the entire IT infrastructure through configuration files. IaC enables enterprises to quickly automate the provisioning and management of IT resource on a cloud-native architecture by describing the runtime infrastructure in machine-readable files, which is becoming increasingly popular in recent times. IaC ensures consistency in setup and configuration, boosts productivity, reduces human error, and boosts operational efficiencies while lowering costs. 

GitOps is a newcomer to this field. GitOps uses the IaC pattern and the Git version control system to make managing the underlying infrastructure and Kubernetes instances simple. When self-service and developer-centric infrastructure are coupled, businesses can achieve speed, consistency, and traceability. 

Conclusion 

While buzzwords come and go, businesses are always looking for technology advancements that will allow their employees to be more innovative and satisfy their consumers and partners. Trends might be surprising at times. DevOps engineers will be required in any case to figure it out and apply it. 

Containerization, hybrid cloud adoption, AI and automation, cloud-native development, AIOps, MLOps, and IaC — all these trends will have a significant impact on the software business.