Introduction

DevOps has become a popular and effective framework, and many successful organizations are adopting it to streamline their operations and improve their results. Modern businesses are aware of the latest technology trends and are increasingly using DevOps to modernize their environments.

DevOps usage is on the rise as it meets the demands and complexities of modern software development. Companies today need to support a diverse range of platforms and operating systems. DevOps provides a new way for businesses to deliver value to customers quickly and efficiently.

Many organizations are realizing the benefits of DevOps in terms of overall performance and operational efficiency, and it’s essential for the growth of the organization.

In this article, we will explore the top DevOps trends that are shaping the future of software development. We will discuss how these trends are helping organizations to improve their efficiency, reliability, and security.

DevSecOps

Security is one of the most important concerns in the digital age. To address this, businesses have adopted the DevSecOps lifecycle, which integrates security into the development process from the start. This approach has also been used to streamline governance and observability.

DevSecOps is based on the shift-left approach, which emphasizes the importance of security early in the development lifecycle. According to the latest DevSecOps trends, around 40% of enterprises perform dynamic application security testing (DAST), 50% perform static application security testing (SAST), and the rest scan dependencies and containers.

Given the high level of shared responsibility and third-party data involved in modern software development, it is important to foster a culture of collaboration and security. This has led companies to adopt DevSecOps-integrated automation for security checks instead of manual monitoring of application privacy from the very beginning.

Microservice Architecture

Microservices architecture, also known as microservices, is a popular approach to building software applications and widely used in the IT industry today. It has been adapted to meet the latest DevOps market trends by successfully breaking down monolithic applications into smaller, more manageable pieces. This has simplified development, testing, and deployment in operations, and streamlined the consistent and frequent delivery of software and applications.

Microservices architecture has made it easier to implement DevOps processes and principles, which has improved the overall quality of products. It is one of the DevOps trends that helps create separate areas for concerns and reusable modules, which enhances agility and the speed of product deployment. DevOps teams can use microservices to deliver software more frequently and reliably. Microservices also make it easier to automate tasks and improve the overall quality of software products.

Additional benefits of microservices is that they can reduce network traffic, which can lead to faster deployment times. Microservices can also be scaled independently, which means that teams can quickly add or remove resources to meet changing demand.

Overall, microservices architecture is a powerful approach to software development that can help organizations to deliver high-quality products and services more efficiently and effectively.

Serverless Computing

Serverless computing is a new approach to software development and deployment that allows developers to focus on building applications without having to worry about managing servers. This is because serverless computing providers automatically manage the underlying infrastructure, such as servers, operating systems, and storage. These applications do not need the managing of servers because they are built that way from the very developmental stage of the application.

Serverless computing has become a popular approach to software deployment in recent years due to its many benefits, including cost reduction, improved scalability, and accelerated development time. The serverless market is expected to reach $30 billion by 2030. More than 50% of enterprises with cloud-based applications are now using serverless computing.

Serverless computing has also had a significant impact on the DevOps process. By automating server management, serverless computing has helped to bridge the gap between development and operations. It has also made it easier to generate code for the DevOps pipeline, without the need for a host to develop, test, and deploy applications.

MLOps and AIOps

MLOps and AIOps are two popular DevOps tools that are expected to be worth $40.91 billion by 2026. They play an important role in optimizing DevOps operations to deliver high-quality software quickly.

AIOps helps to automate IT processes and operations, such as monitoring, incident response, and anomaly detection, while MLOps improves the development process for machine learning models by automating tasks, such as data preparation, model training, and deployment. AIOps can help identify the root cause of problems that reduce operational productivity, while MLOps can help optimize operations and improve productivity. In addition AIOps can be used as a solution to address the full-stack observability requirements of large enterprises.

MLOps and AIOps are still relatively new technologies, but they are rapidly gaining adoption. As organizations continue to invest in DevOps and artificial intelligence, MLOps and AIOps are expected to play an increasingly important role in the software development and IT operations lifecycle.

GitOps

GitOps is a Git-based approach to software development that makes it easier to deploy applications in cloud-native environments. It leverages DevOps best practices, such as version control and continuous integration/continuous delivery (CI/CD), to automate infrastructure and manage application deployment.

GitOps was pioneered in 2017 and is now a popular way to manage cloud-native systems powered by Kubernetes. It uses a policy-as-code approach to define and manage all aspects of a modern application stack, including infrastructure, networking, application code, and the GitOps pipeline itself.

GitOps uses Git as the single source of truth to define every part of a cloud-native system. Once defined in Git, a GitOps agent automatically applies all code, configuration, and policies changes to development, testing, staging, and production environments. With GitOps, whenever there is any divergence between Git and what’s running in a cluster, developers are alerted. Depending on the case, Kubernetes automatically update or roll back the cluster. 

By putting Git at the center of the software delivery pipeline, GitOps makes it easier for developers to use familiar tools to deploy applications and manage policies. This can accelerate and simplify both application deployments and policies that govern the entire software delivery lifecycle.

Conclusion

DevOps has evolved significantly in recent years and is expected to continue growing as more enterprises adopt it. New DevOps trends are emerging to improve operational efficiency and go beyond automation. These trends focus on continuously improving the DevOps framework to enhance user outcomes. DevOps transformation is a continuous process, and companies need in-depth knowledge of DevOps methodology to implement it successfully.