DevOps is set to experience significant growth, with an anticipated annual increase of 25% from 2024 to 2032. This growth is largely driven by the integration of artificial intelligence (AI) and machine learning (ML) into the software development lifecycle, which enhances predictive analytics, automated testing, and intelligent monitoring.

Boosting productivity will be a primary focus, achieved through the automation of repetitive tasks and the optimization of workflows. The synergy between DevOps, cloud technologies, and microservices architectures will continue, enabling scalability, resilience, and rapid innovation. Ensuring high quality will be crucial, with rigorous testing and real-time monitoring embedded into DevOps workflows. Enhanced security measures will also be essential, incorporating advanced access controls, encryption, and AI-driven version control improvements. Success in 2024 will require balancing rapid technological adoption with strong security and quality measures.

1. Generative AI in AIOps

AIOps, the integration of AI into IT operations within DevOps, is poised for significant growth. Currently valued at $1.5 billion, the market is expected to grow at a compound annual rate of around 15% through 2025. Key trends driving this growth include:

• Generative AI Integration: Generative AI tools enhance AIOps platforms by improving anomaly detection, root cause analysis, and automated remediation. Large language models (LLMs) can accurately identify root causes with contextual data, significantly improving Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) for incidents.
• Focus on Data Quality and Trust: High-quality data and enrichment are crucial for the accuracy of generative AI models. Synthetic data generation is becoming important for faster model development and evaluation. Currently, only 50% of enterprises use synthetic data for AIOps, indicating significant untapped potential. Trust in existing AIOps capabilities is essential for adopting new generative AI features.

2. Enhanced DevSecOps Integration

DevSecOps is a vital 2024 DevOps trend, addressing high-risk issues by integrating development, operations, infrastructure as code, and cybersecurity within the CI/CD pipeline. Its main focus is on automating and monitoring security throughout the software development lifecycle. This proactive approach enhances application security, speeds up development, and reduces production issues.

Recent research shows growing adoption, with 37% of organizations extensively incorporating security into their DevOps processes and 33% doing so on a limited basis.

The integration of security and DevOps is expected to deepen, focusing on several key areas:

• Providing security training to developers and DevOps personnel.
• Authoring security stories during Agile development.
• Establishing consistent central policies for security integration.
• Supporting security team members in cloud security training and certifications.
• Tasking developers with implementing security use cases.
• Continuous improvement in DevSecOps is seen as crucial in defending against the challenges of insecure software.

3. Adoption of Serverless Architecture

DevOps teams are expected to increasingly adopt serverless architecture, utilizing services such as Google Cloud Functions, AWS Lambda, and Azure Functions. This approach aims to optimize resource utilization and cost efficiency, accelerating development processes and enhancing application performance through improved management and updates of servers.

4. Implementation of MLOps

MLOps addresses the complexities of deploying and managing ML models in production, bridging data science, ML engineering, and DevOps. While inspired by DevOps principles, MLOps focuses on ML software's distinct requirements.

Expanding beyond IT operations, MLOps spans enterprise search and broader business realms, necessitating collaboration among diverse teams, including data scientists and engineers.

However, MLOps faces unique hurdles such as data quality, model retraining, and infrastructure demands. With ML model performance impacting ethics and post-deployment intricacies, the stakes are high.

As AI and ML adoption rises, a robust MLOps framework is crucial. Amid evolving ML stack maturity, organizations must assess readiness, factoring in business needs, data availability, and technical capabilities.

5. Advancing NoOps Automation

NoOps focuses on minimizing operational requirements through automation, aligning with broader objectives like cloud migration. Automation enables the creation of self-healing systems and efficient alert mechanisms, reducing manual intervention in post-deployment issue resolution.

However, operational tasks such as user management and help desk functions remain essential. While automation streamlines certain tasks, human elements like onboarding still necessitate operational involvement. Cloud adoption supports NoOps by decreasing operational demands across software layers, though operational teams remain crucial for vendor management and business communication.

6. Embracing GitOps for Infrastructure Automation

GitOps is a unique approach within DevOps, distinguished by its core principles and practical benefits. It expands on established DevSecOps practices to include version control, collaboration, compliance, and CI/CD for infrastructure automation, particularly effective for Kubernetes-based setups.

What sets GitOps apart is its developer-centric focus, seamlessly integrating infrastructure management into the version control system alongside application development. This centralized approach fosters collaboration and leverages Git's capabilities, offering efficiency, security, developer experience, cost reduction, and faster deployments.

By merging infrastructure and application development lifecycles in a single tool, organizations gain improved coordination, fewer errors, and quicker issue resolution. GitOps also supports container and microservices adoption while ensuring consistency across all infrastructure components.

The future of GitOps entails deeper integration with DevSecOps workflows, streamlining application and infrastructure management through a unified process. This integration promises insights for customizing infrastructure configurations based on application behavior and vice versa.

7. Enhancing Collaboration with ChatOps

ChatOps creates a collaborative DevOps environment where teams and tools interact, resolving issues and driving development - all within a shared conversation space. By 2024, it will transform from simple communication to a central hub for DevOps coordination.

Enhanced by AI and natural language processing, chatbots will seamlessly integrate with CI/CD pipelines, enabling real-time troubleshooting and proactive issue resolution via messaging platforms. This interface boosts accessibility for non-tech stakeholders and speeds up response times.

8. Shifting Focus to Developer Experience (DevEx)

As tech talent grows in importance, companies are moving from tool-centric DevOps to a broader DevEx approach, says Deloitte. DevEx focuses on enhancing developer experience with seamless platforms, efficient workflows, and a positive culture, resulting in higher productivity, happier staff, and improved software and customer experiences.

With automation and low-code tools emerging, DevEx could reshape the workforce, empowering citizen developers and freeing skilled engineers for advanced innovations. With 81% of companies reporting profitability gains from DevEx investments, the future promises deeper integration between internal tech and business strategy.

When developers have the right tools and environment, they create better software faster, improving business outcomes. This shift requires closer integration between tech teams and business strategy, with developers contributing to business goals and leaders prioritizing empowering technology investments. This alignment ensures technology advancements support broader objectives, maximizing the value of both DevEx and overall business strategy.

Introducing of VKS – VNG Cloud Kubernetes Service

VNG Cloud Kubernetes Service (VKS) is a centralized container management solution on the cloud computing platform (PaaS), offering users ease and efficiency in controlling application containers in a virtual environment at the operating system level. As organizations integrate modern trends such as AIOps, DevSecOps, serverless architecture, MLOps, NoOps, GitOps, ChatOps, and DevEx to stay competitive, VKS provides the necessary infrastructure to support these advanced DevOps practices.

With VKS, you will experience consistent, secure, and user-friendly management and operation of applications on containers. Contact VNG Cloud today to experience the new VKS for free!