Top 5 DevOps Trends and It's Future Scope

One of the few worthy trends we have experienced with the beginning of the new era is undoubtedly the adoption of DevOps industry trends. As we move forward with time, it has become quite clear that DevOps has become a household name among the top efficient Agile frameworks.

What Is DevOps?

The DevOps methodology is a collection of best practices and resources that connect IT operations (Ops) to software development (Dev) to enable the continuous delivery of high quality software while reducing the duration of the software development lifecycle. It aims to increase the effectiveness, velocity, and efficiency of software development and implementation while developing a collaborative culture inside traditionally fragmented teams.

Top 5 DevOps Trends In 2024 and It's Future

1. DevSecOps

The core principle of DevSecOps is that security should take priority over other considerations and adopt a shift-left strategy. According to the latest DevSecOps trends, about 40% of enterprises perform DAST testing, 50% perform SAST testing, and the remaining 40% scan containers and dependencies.

DevSecOps has provided all of you with an agile security network that will handle the security concerns and then combine new technologies to stop any incoming threats. This network will be able to counter all the attacks, malware attacks and security breaches that cause problems in various networks today.

2. Microservice Architecture

Instead of deploying the entire program at once, DevOps teams can use microservices to develop individual application segments according to business needs.

Furthermore, microservices architecture makes it easy to fix problems without disrupting the functionality of the entire application. Microservices divide data into manageable, flexible, and scalable parts.

3. AIOps

The two most well-known and popular DevOps tools right now are MLOps and AIOps . By 2026, their estimated value has increased to $40.91 billion. It is important to optimize DevOps operations to achieve fast releases and good quality, in which MLOps and AIOps play a vital role.

While AIOps helps automate IT operations and processes, MLOps strengthens the machine learning development system. As a result, it is easier to identify the root cause of issues hindering operational productivity with AIOps and optimize operations and boost productivity with MLOps.

4. GitOps

One of the greatest new DevOps innovations that has been incorporated into the DevOps workflow is GitOps. It facilitates automation, control and monitoring of infrastructure. Thanks to the Kubernetes model, Git can now be used by developers and IT operations managers to build and deploy multiple apps.

Another addition to the DevOps concept is GitOps , which helps automate and control infrastructure.

Still, it leverages standard DevOps processes like pipelines for continuous integration and delivery (CI/CD) and code review. Similar to how app development code is saved, declaration files in GitOps can be stored in a Git repository.

5. Multi-cloud Environments

Cloud Computing technology has made a big name for itself in the field of software development, or more precisely, application development.

Businesses no longer discuss implementing cloud computing. In today's data-intensive digital environment, they discuss implementing multiple clouds.

[Good Read: What Is Generative AI ]

How Does the Future of DevOps?

1. Adoption of Machine Learning and AI

• Predictive Analytics: AI can improve the reliability of applications by analyzing past data to predict potential problems and performance bottlenecks before they occur.
• Automation: Algorithms that use machine learning techniques can enhance automation processes by looking for patterns in code that may indicate problems and automatically recommending or implementing solutions.

2. Edge Computing and IoT Integration

• Edge Computing: With the rise of IoT and edge devices, DevOps technologies will expand to handle the deployment and operation of applications on decentralized networks, guaranteeing effective data processing close to the source.
• Real-time Monitoring: DevOps will be essential in tracking and maintaining the functionality of IoT gadgets while guaranteeing their security and currency.

3. Increased Focus on Security (DevSecOps)

• Security Automation: DevSecOps, or the integration of security into the DevOps pipeline, will increase as automated security checks and compliance audits are incorporated into CI/CD Processes .
• Shift-Left Security: Adopting security practices early in the development cycle will enable teams to identify and address security threats in the early stages of software development.

4. Expansion of GitOps and Infrastructure as Code (IaC)

• GitOps: As declarative infrastructure and application management becomes more common, the use of Git repositories as a single source of truth will increase, streamlining processes and guaranteeing consistency.
• Advanced IaC: As the code evolves, it will become possible to more efficiently manage complex multi-cloud and hybrid settings across the infrastructure.

5. Multi-Cloud and Hybrid Cloud Strategies

• Cloud-Agnostic Tools: Cloud-agnostic tools and processes will increasingly proliferate in the future, helping enterprises easily manage and roll out apps across multiple cloud platforms.
• Hybrid Cloud Management: DevOps will make it easier to integrate and manage hybrid cloud infrastructure, which includes cloud services and on-premises infrastructure.

You can check more info about: A DevOps Journey to Success .

• DevOps Tools For Infrastructure Automation .
• Security Consulting .
• AWS Consultant .
• Cloud Consulting Services .