The DevOps market is all set to hit a growth rate of 24% approximately yielding USD 10.3 billion by 2023. Due to growing need for fast application delivery with high quality, there is a high demand for DevOps services and solutions. DevOps has now become the prime focus for shaping the world of software as it reaches its all-time high in 2020.

Building DevOps ecosystem with ‘Go’

Go is an open source programming language that helps in creating competitive program that are parallel and concurrent. Also, its ease in compiling code enables teams to run in various environments with different tools. It compiles into stand -alone binary eliminating dependencies management (external libraries, copy tools or imports). Using Go in DevOps lets the team focus completely on building applications and not on the tools to run them. Go is simple and customizable and it facilitates software development and delivery with better code clarity and observability.

Empowering Cloud- Native architecture

Cloud-Native approach is the throttle behind the digital modernization of enterprises. This technology embraces resilience, readability, and easily knitted architectures which lead to changes with predictable impacts, better innovation, next-level transformation, observability and rich customer experience. It amplifies cloud automation which aids in management of configuration and installation. For better reliability, low cost, faster deployment, better resource utilization and decision making in business, cloud-native is the path to follow.

According to IDC predictions, expenditure for cloud services will grow up to $530 billion which is double than the present costs.

Container registry services flying high

Handling artifacts is no more a task. Manage data (images) and store them in repositories and manage all dependencies around them with container registries for a hassle-free software cycle process. When you work with containerized application, it is inevitable to use container registry in DevOps. Also, with the increasing popularity of cloud-native application, this registry becomes vitally important as it provides better security.  Yet another added advantage of container registry is that it acts as a remote and virtual repository with metadata and helps in gaining insights about artifacts.

Container and Serverless computing

Building and deploying applications on time has always been a tough walk with physical machine dependencies. Serverless computing comes to rescue with no provisioning of physical servers. This doesn’t mean there are no servers but these are servers on cloud which help you allocate machine resources. It helps in resource scaling, flexibility and promotes automation resulting in lesser time and money consumption as it eliminates the need for pre-provisioning and maintenance.

CI pipeline to Assembly pipeline: Next step in DevOps

DevOps assembly line is focused on connecting activities from various teams that contribute to the best outcome of a project. It helps in automating and scaling of processes across teams for a smooth delivery. As it eases the workflow throughout the pipeline, it erases the necessity of human interference and thereby, improves efficiency.

DevOps assembly line is a great evolution of DevOps that is otherwise known as ‘pipelines of pipelines’ wherein CI pipeline is just one part of the line. Each pipeline belonging to a particular team interacts with another to transact information and eventually targeting on continuous delivery.

Data science adopts DevOps

Data science and software development cycle are similar in many ways and they often attempt to smoothen their workflow with agile development practices in earlier days and thereby, faced challenges in acquiring data, building model, evaluating and maintaining consist results in both machine and production platform. In order to overcome these issues, data scientist adopted DevOps which had already helped the software development cycle. DevOps provides them with proper tools, analytics, cross functional collaboration, change control, reliable testing strategy. This helps data scientist to improve data acquisition, deploy algorithms and adds value to their business.

AI Transforms DevOps culture

DevOps culture is about automating tasks throughout the software delivery cycle while artificial intelligence is about analyzing, integrating systems and processing information to improve functionality. It helps in elimination human-made error while processing a huge amount of data. It makes software testing more efficient, collect data from various sources and collates them for better reliability, improves execution efficiency and improves resource management. AI fused with DevOps finds problems and rectifies them automatically without tampering the performance of the application.

We have seen few successful initiatives in the past and now, we have a handful of new trends that are most likely to hit the mark this year considering the present market environment. As years pass, we learn more on how to play with DevOps leading to new innovations, technologies and tools and thus, we have come up with the above trends that would rule this year. Be one step ahead of your peers and rank high in the market as you adopt these latest trends.

Dhanwandhi Panneerselvam

Executive Research Analyst at Aspire Systems
She holds a Master degree in Electrical & Electronics Engineering with specialization in Power Electronics and Drives. She is a passionate and an ardent writer who has earlier worked on write ups and several copies related to media. She spends her leisure time reading philosophical books and loves exploring new places & cuisines.