DevOps has been a game-changing methodology for the tech industry over the past decade. By bridging the gap between development and operations, it has transformed how software is built, tested, and delivered. However, with the rapid pace of innovation and the increasing complexity of IT ecosystems, many are wondering: What is DevOps called now?

In this article, we’ll explore the evolution of DevOps, the emerging terminologies shaping its future, and how devops services and solutions are adapting to meet new business demands.

The Original Purpose of DevOps

Before diving into what DevOps is called today, it’s important to revisit its roots. DevOps, a combination of "Development" and "Operations," emerged to solve the inefficiencies caused by siloed teams. It emphasized:

• Collaboration between developers and operations teams.
  
  
• Automation of the software development lifecycle.
  
  
• Continuous Integration/Continuous Deployment (CI/CD) practices.
  
  

Companies began leveraging devops services and solutions to accelerate software delivery, enhance reliability, and improve customer satisfaction.

Is DevOps Still Called DevOps?

In many organizations, the term "DevOps" is still widely used. However, as new technologies, practices, and challenges have emerged, several new terms have entered the scene. Each evolution focuses on enhancing and extending the core DevOps principles to meet specific business needs.

Let’s take a closer look at the modern alternatives and what they mean for businesses leveraging devops services and solutions.

Emerging Concepts Replacing or Evolving DevOps

1. DevSecOps: Security as a Core Principle

DevSecOps stands for Development, Security, and Operations. It integrates security practices into every stage of the DevOps pipeline rather than treating it as a final step.

Why DevSecOps Matters

• Protects applications against vulnerabilities early.
  
  
• Automates security testing and compliance checks.
  
  
• Reduces risks without slowing down the development process.
  
  

Today, top-tier devops services and solutions include DevSecOps strategies to ensure that security is embedded in the DNA of software products.

2. AIOps: Artificial Intelligence in Operations

AIOps combines Artificial Intelligence with IT operations. It uses machine learning and data analytics to automate and enhance operations tasks such as monitoring, performance management, and event correlation.

Key Benefits of AIOps

• Detects and resolves incidents faster.
  
  
• Predicts and prevents outages before they occur.
  
  
• Reduces manual intervention through intelligent automation.
  
  

Advanced devops services and solutions are integrating AIOps to improve efficiency, scalability, and reliability in complex IT environments.

3. GitOps: Version Control for Infrastructure

GitOps extends DevOps principles by managing infrastructure and application configurations using Git repositories.

Core GitOps Practices

• Infrastructure as Code (IaC).
  
  
• Declarative configurations.
  
  
• Automated deployment pipelines.
  
  

Many modern devops services and solutions utilize GitOps to streamline infrastructure management, providing greater transparency, consistency, and rollback capabilities.

4. Platform Engineering: Internal Developer Platforms

Platform Engineering focuses on creating internal platforms that developers use to build and deploy applications efficiently.

Importance of Platform Engineering

• Improves developer experience.
  
  
• Standardizes tools and processes.
  
  
• Increases software delivery speed.
  
  

Forward-thinking devops services and solutions now incorporate platform engineering to empower developers and enhance productivity.

How DevOps Principles Have Evolved

While the terminology may be changing, the fundamental principles of DevOps remain highly relevant. Here’s how the core concepts have evolved:

Collaboration and Culture

The emphasis on breaking down silos is even stronger today, with cross-functional teams including developers, security experts, data scientists, and operations professionals.

Automation and Integration

Automation remains a cornerstone, but it’s now augmented with AI/ML-driven tools that offer predictive insights and self-healing capabilities.

Monitoring and Feedback

Real-time monitoring, observability, and feedback loops have become more sophisticated, enabling businesses to respond faster to customer needs and market changes.

Modern devops services and solutions focus on enhancing these principles with cutting-edge technologies and methodologies.

Why DevOps is More Relevant Than Ever

Despite the evolution of terms like DevSecOps, AIOps, and GitOps, the essence of DevOps — rapid, reliable, and secure software delivery — is more critical than ever.

Business Drivers Reinforcing DevOps

• Digital Transformation: Companies must innovate quickly to stay competitive.
  
  
• Customer Expectations: Users demand seamless, high-quality digital experiences.
  
  
• Remote Workforces: Distributed teams need automated, efficient workflows.
  
  

Partnering with expert devops services and solutions ensures businesses can meet these demands with agility and confidence.

Key Trends Shaping the Future of DevOps

Let’s explore the top trends that are influencing the direction of DevOps today.

1. DevOps and Cloud-Native Technologies

The rise of cloud-native technologies like Kubernetes, microservices, and serverless computing is redefining how applications are built and operated.

Cloud-Native DevOps Strategies

• Containerization for scalable deployments.
  
  
• Service mesh for secure communication between services.
  
  
• Serverless functions for event-driven architectures.
  
  

Leading devops services and solutions offer specialized expertise in cloud-native DevOps practices.

2. Site Reliability Engineering (SRE)

Site Reliability Engineering (SRE) is a discipline that applies software engineering principles to IT operations.

SRE Core Principles

• Focus on system reliability and uptime.
  
  
• Automating manual operations tasks.
  
  
• Managing risk through error budgets.
  
  

Many organizations combine SRE with DevOps practices through comprehensive devops services and solutions.

3. DevOps and Artificial Intelligence

AI and ML are increasingly used to optimize DevOps workflows, from intelligent code suggestions to predictive maintenance.

AI-Enhanced DevOps

• Smart testing that prioritizes high-risk areas.
  
  
• Anomaly detection in production environments.
  
  
• Automated root cause analysis for incidents.
  
  

Incorporating AI into devops services and solutions helps businesses achieve greater automation, faster resolutions, and better overall performance.

Choosing the Right DevOps Strategy Today

With so many emerging methodologies and tools, how should businesses choose the right approach?

Key Factors to Consider

• Business Goals: Align DevOps strategy with your digital transformation objectives.
  
  
• Team Skills: Choose methodologies that match your team’s capabilities and culture.
  
  
• Technology Stack: Select tools and practices compatible with your existing infrastructure.
  
  

A professional provider of devops services and solutions can assess your environment and recommend the best combination of practices to ensure success.

How DevOps Will Continue to Evolve

Looking ahead, DevOps will likely continue to evolve in exciting ways:

• Hyperautomation: Automating every aspect of software development and operations.
  
  
• Edge Computing: Managing deployments closer to users for faster performance.
  
  
• Decentralized DevOps: Adapting DevOps practices for decentralized applications (dApps) and blockchain networks.
  
  

Forward-looking devops services and solutions are already preparing businesses to leverage these trends and stay competitive.