Demystifying GitOps: How to Implement This Strategy in Your Company

You’ve probably heard of Git and DevOps. But if you haven’t yet heard of GitOps, pay attention, as the practice has gained popularity in recent years. According to Puppet’s “State of DevOps Report,” 27% of surveyed organizations were adopting GitOps as part of their DevOps practices. 

Before we move forward, it’s necessary to recall the concept of Git, which can be understood as a widely-used distributed version control system to track changes in source code files during software development. It allows multiple people to collaborate on a project, managing different versions of the code and facilitating the integration of changes.

On the other hand, “Ops” refers to operations, encompassing release, deployment automation, and application monitoring. The convergence of GitOps and DevOps occurs because GitOps is a natural extension of DevOps principles and practices.

Both aim to automate processes, promote team collaboration, increase efficiency, and improve the reliability of development and infrastructure operations. However, GitOps uses Git as the single source of truth for infrastructure and automation, aligning with DevOps’ principles of collaboration and automation.

In this article, we delve into the concept of GitOps, its principles, tools used, challenges, and success stories. This is essential reading for anyone who wants to understand more about the subject. 

What is GitOps?

GitOps is a methodology for managing and operating infrastructure and software applications, based on DevOps practices and using Git as the only source of truth. The term was popularized by Weaveworks and involves applying Git principles (version control, code review, etc.) to system operations. 

The origin of GitOps is closely tied to the evolution of DevOps practices and the growing complexity of infrastructure management in the era of cloud computing and containers. In the late 2010s, companies began massively adopting microservices-based architectures and using container orchestrators like Kubernetes. This highlighted the need for a more robust and systematic approach to managing infrastructure. 

The Conception of GitOps

Weaveworks, dealing with the challenges of managing production environments in Kubernetes, realized that the principles used to manage source code (such as version control, code reviews, and continuous integration) could be applied to infrastructure. The idea was simple but powerful: use Git, a well-established and widely used tool by developers, as the single source of truth for infrastructure configuration. 

They started implementing this approach internally and quickly noticed the benefits in terms of consistency, security, and ease of recovery. From there, Weaveworks formalized the concept and began promoting it within the DevOps community, giving rise to the term “GitOps.” 

Fundamental Principles of GitOps

Since its conception, GitOps has gained wide adoption in the technology industry, with companies seeking to increase the efficiency and security of their IT operations starting to implement GitOps practices. However, it’s important to preserve its principles, which are as follows: 

Git as the Source of Truth

All infrastructure configuration and application definitions are stored in Git repositories. This includes everything from configuration files to automation scripts. 

Automation and Continuous Deployment

CI/CD (Continuous Integration/Continuous Delivery) tools monitor Git repositories for changes. When a change is detected, it is automatically applied to the production system, ensuring that the system state always matches the state defined in Git. 

Rollback and Recovery

Since all changes are versioned in Git, it’s easy to revert to a previous state in case of problems. This increases the system’s resilience and recovery capability. 

Audit and Access Control

Using Git to manage configurations allows for a complete audit of all changes made to the infrastructure. Tools like pull requests and code reviews add an extra layer of control and validation. 

Scalability

GitOps enables efficient infrastructure management even at large scales, thanks to automation and centralized configurations. It becomes easier to manage complex environments, such as multi-cluster Kubernetes, with consistent and automated practices. 

Continuous Improvement and Rapid Iteration

Infrastructure changes can be tested, reviewed, and implemented quickly, facilitating continuous improvement. This allows teams to iterate rapidly on new features and improvements, applying them both to software and infrastructure cohesively. 

How GitOps Works

GitOps is a methodology that uses Git as the single source of truth for managing infrastructure and applications. It applies DevOps and CI/CD practices to ensure that the state of infrastructure and applications is always synchronized with what is defined in the Git repository. 

Here is a detailed explanation of how GitOps works: 

Fundamental Components of GitOps

The Git repository contains all configuration files, scripts, and definitions for infrastructure and applications, functioning as the single source of truth. CI/CD tools monitor the Git repository for changes and automatically apply these changes to the infrastructure. Additionally, a monitoring system ensures that the actual state of the infrastructure matches the desired state defined in Git and corrects any deviations. 

GitOps Workflow

The first step is defining infrastructure and applications in configuration files in Git. Next, changes are committed and pushed to the Git repository. Another important component is CI/CD automation, where tools detect changes and automatically apply these changes to the infrastructure. Finally, the infrastructure is monitored to ensure it complies with the state defined in Git, and any discrepancies are corrected automatically. 

Common Tools in the GitOps Ecosystem 

Flux

A GitOps tool for Kubernetes that monitors Git repositories and automatically applies changes to the infrastructure. 

Argo CD

Another GitOps tool for Kubernetes that synchronizes the state defined in Git with the actual state of the infrastructure, offering a visual interface to manage and monitor applications. 

Terraform

Used to manage infrastructure as code, Terraform can be integrated with GitOps practices to provision cloud resources. 

Comparison between GitOps and Traditional DevOps

GitOps and traditional DevOps share many principles, such as automation, collaboration, and continuous improvement, but differ in their approaches and how they implement these principles. Check out the table with the main differences between GitOps and DevOps: 

esses princípios. Confira a tabela com as principais diferenças entre GitOps e DevOps:

GitOps	Devops
Uses Git as the single source of truth for infrastructure and application configurations.	Can use multiple sources for configuration management (scripts, configuration management tools, etc.).
Fully automates the application of configurations and changes through CI/CD tools that monitor the Git repository.	Automation is widely used but may rely on scripts and manual interventions in some cases.
GitOps tools constantly verify if the current state of the infrastructure matches the state defined in Git and automatically correct any deviations.	While monitoring is a common practice, deviation correction is not always automatic and may require manual intervention.
Changes are made through pull requests in the Git repository, allowing code review and collaboration before application. The history of all changes is recorded in Git, providing a clear and detailed audit trail.	Changes can be implemented directly via scripts, command-line interfaces, or configuration management tools, without a uniform review process. While many DevOps tools support some level of change history, auditing may be less centralized and detailed compared to GitOps.
The application of changes is fully automated from detection in the Git repository to implementation in the infrastructure. Feedback and corrections are quick due to complete automation and continuous monitoring.	Automation is essential but can include manual steps, especially for production environments. The feedback loop can be longer due to manual interventions and more complex approval processes.

Both approaches have their merits and can be chosen based on the specific needs of the organization, the maturity of DevOps practices, and the complexity of the IT environment. 

Challenges of Implementing GitOps

Implementing GitOps can bring many benefits but also presents specific challenges, like any process change. We have highlighted the main challenges and how to deal with them to ensure successful GitOps implementation. 

Initial Complexity

The initial setup of a GitOps environment can be complex, especially for organizations new to using Git for infrastructure management. Start with a small pilot project to understand the tools and processes before expanding to the entire organization. 

Secret Management

Storing secrets (such as API keys and credentials) securely in Git repositories can be tricky. Use specific tools for secret management, such as HashiCorp Vault, Sealed Secrets for Kubernetes, or SOPS, and never store secrets directly in Git. 

Synchronization and Conflicts

Keeping infrastructure synchronized with the Git repository can be challenging, especially in dynamic environments where changes occur frequently. Use GitOps tools that support continuous reconciliation, such as Flux or Argo CD, which constantly monitor the state of the infrastructure and automatically correct deviations. 

State Management 

Certain tools and configurations generate state that is not easily versioned in Git. For state management, consider using tools that support a clear separation between configuration and state, such as Terraform with a remote backend to store the state.

Culture and Adoption

Transitioning to GitOps may require a significant cultural shift within the organization. Promote training and workshops to educate the team about the benefits and practices of GitOps. Start with small projects to demonstrate value before expanding. 

Success Stories

Companies of various sizes and sectors have adopted GitOps to improve the efficiency, security, and consistency of their IT operations. Success stories show that GitOps not only enhances automation and infrastructure management but also enables better adaptation to changes, increased resilience, and better compliance with standards and regulations. Here are some notable success stories: 

Alibaba

Alibaba, one of the world’s largest technology companies, uses GitOps to manage the infrastructure of its cloud services. They implemented GitOps to manage thousands of Kubernetes clusters used to support their e-commerce and cloud computing services. The automation provided by GitOps allowed Alibaba to efficiently scale its infrastructure, improve consistency, and reduce the likelihood of human errors in IT operations. 

Ticketmaster

Ticketmaster, a global ticket sales and entertainment company, used GitOps to improve the management of its infrastructure. They adopted Flux to automate the application of infrastructure configurations defined in Git. The adoption of GitOps enabled Ticketmaster to increase the reliability of its operations, reduce downtime, and improve incident response capability through quick and secure rollbacks. 

State Farm

State Farm, one of the largest insurers in the United States, implemented GitOps to enhance its DevOps practices and infrastructure management. They use Argo CD to integrate Git repositories with their Kubernetes clusters, automatically applying changes and ensuring infrastructure consistency. The implementation of GitOps helped State Farm increase operational efficiency, improve infrastructure consistency, and reduce incident response time. 

This article emphasizes the benefits of implementing GitOps, as this practice not only improves consistency, security, and efficiency in operations but also transforms organizational culture for more effective collaboration and more resilient infrastructure and application management. 

In this context, it is very important to partner with a specialized software company that deeply understands technology. This collaboration can facilitate the implementation of these practices, offering specialized support, access to advanced tools, and training. 

Working with an experienced partner ensures smooth and successful process transitions, maximizing the benefits of a new approach and minimizing the risks associated with infrastructure management and software development. Contact our specialists right now.