GitOps + Kubernetes: Adopting GitOps in Enterprises

Lukas Gentele
Raushan Raj
11 min read

#GitOps + Kubernetes Series

Enterprises dealing with cloud-native infrastructure and applications often quickly realize that managing large-scale environments can be a real challenge. Deployments in modern cloud-native environments using traditional DevOps practices can be tough and error-prone, leading to an increased risk of downtime, errors, and security vulnerabilities. This is where GitOps comes in.

GitOps is an operational model for managing infrastructure and application deployments using Git as the single source of truth. With GitOps, any changes to the infrastructure or application code are automatically tracked and versioned in Git, enabling greater visibility, control, and auditability. By treating everything as code, GitOps enables teams to manage their deployments in a more agile and efficient way, with greater reliability and security. This approach is particularly useful in managing the complexity of cloud-native environments, where microservices, containers, and Kubernetes clusters can be difficult to manage using traditional methods.

This article explores the benefits of GitOps for enterprises, the affinity between GitOps and Kubernetes, and the components involved in a GitOps and Kubernetes architecture. It will then provide an overview of the typical GitOps deployment workflow for Kubernetes as well as considerations for GitOps in an enterprise environment.

#GitOps in Enterprises

GitOps is becoming more popular in enterprise environments as a way to streamline infrastructure and application management. Many organizations are investing in the development of GitOps capabilities, including building internal GitOps teams, creating GitOps centers of excellence, and implementing GitOps best practices across their organizations. GitOps has also been found to improve collaboration between development and operations teams, increase the speed of deployments, and reduce the risk of errors and downtime. As a result, more and more large organizations are adopting GitOps as part of their greater digital transformation efforts.

There are still challenges to be addressed in the adoption of GitOps in the enterprise space. These challenges include resistance to change, the need for specialized skills and expertise, and the difficulty of integrating GitOps with existing processes and tools. Nevertheless, GitOps is expected to continue to grow in popularity in the enterprise space and is poised to become an increasingly important part of the enterprise DevOps landscape in the years to come.

#Use Cases for GitOps in an Enterprise Context

Enterprises can benefit from GitOps in a variety of use cases, including:

  • Multi-cloud and hybrid cloud environments: Enterprises often use multi-cloud and hybrid cloud environments to take advantage of the unique features and capabilities of different cloud providers. However, managing infrastructure across multiple environments can be a daunting task. By treating everything as code, GitOps provides a standardized approach to managing infrastructure, allowing enterprises to deploy and manage their applications consistently across multi-cloud environments.
  • Compliance and audit requirements: Enterprises operating in regulated industries have strict compliance and audit requirements. GitOps provides a version-controlled approach to infrastructure and application management, which results in a complete audit trail of all changes made to the code. This makes it easier for organizations to demonstrate compliance with regulatory requirements like PCI DSS, SOC 2, and so on. It also provides valuable evidence related to change management. Essentially, GitOps makes it easier for enterprises to maintain compliance and show evidence of their adherence to regulatory standards.
  • Disaster recovery and business continuity: In an enterprise environment, minimizing downtime is critical for business continuity. GitOps provides a version-controlled backup of the entire system, allowing for quick restoration to the previous state in the event of a disaster. By keeping a record of all changes made to the infrastructure and application code in Git, GitOps also facilitates issue resolution and prevention, which contributes to overall system reliability and uptime.

#GitOps + Kubernetes in Enterprises

GitOps and Kubernetes share a natural affinity due to their shared principles of declarative infrastructure and version control. Kubernetes manages containerized applications and their infrastructure through declarative YAML files, while GitOps applies the same declarative approach to managing infrastructure and application deployments. You can use GitOps to manage Kubernetes environments by keeping the desired state of the deployments in a Git repository, making it the single source of truth for the entire infrastructure, including application code, configuration files, and deployment manifests. When you make changes to the infrastructure or application through GitOps, they are automatically tracked and versioned in Git. This provides a complete audit trail of all changes, making it easy for you to track and revert to previous versions if necessary.

Using GitOps to manage Kubernetes environments has several advantages, including declarative configuration management, automated deployments and rollbacks, version control and audit trails, consistency and reproducibility, and an additional layer of security by enforcing a separation of duties between developers and approvers/operators.

#Components in a GitOps Kubernetes Architecture


The typical GitOps Kubernetes architecture includes four key components:

  • A Git repository: A Git repository such as GitHub, GitLab, or Bitbucket serves as the central location to store and manage the desired state of the infrastructure and application deployments. Any changes made to the code or configuration files are versioned and tracked in Git.
  • A CI/CD pipeline: This component is responsible for building, testing, and packaging the application code before deploying it to Kubernetes. It automates the process of deploying changes to the Kubernetes cluster. Examples include GitHub Actions, Jenkins Pipeline, and Bitbucket Pipelines.
  • A Kubernetes cluster: This is the environment where the containerized applications are deployed and managed. It runs the workloads and services defined in the deployment manifests stored in the Git repository.
  • A GitOps operator: This is responsible for continuously monitoring the state of the Kubernetes cluster and synchronizing it with the desired state defined in the Git repository. It automates the process of deploying changes to the Kubernetes cluster and ensures that the cluster is always in the desired state.

#GitOps Deployment Workflow Overview

Adopting GitOps to manage infrastructure and applications on Kubernetes lets you benefit from a declarative approach where the desired state of the system is defined in code and stored in a Git repository. This allows you to make changes to code or configuration files, such as Kubernetes YAML files, Helm charts, or Terraform files, and commit them to the Git repository. GitOps tools, such as Flux or Argo CD, continuously monitor the Git repository for changes and automatically synchronize the desired state of the infrastructure with the actual state without requiring any manual intervention. The GitOps deployment workflow supports different deployment strategies, such as rolling update, blue-green, and canary, to ensure zero-downtime deployments.

By following the GitOps deployment workflow, you can simplify the management of large-scale Kubernetes environments, ensuring that the infrastructure is always in the desired state and any drift is automatically corrected.

#Overview of a Typical GitOps Deployment Workflow for Kubernetes

The GitOps workflow consists of several stages that ensure the desired state of the infrastructure and applications is automatically deployed in a consistent manner across environments:

  1. Code changes: The first stage in the GitOps deployment workflow involves making changes to the code or configuration files stored in Git. The code changes can include modifying or creating new files (such as Kubernetes YAML files, Helm charts, or Terraform files) that define the desired state of the system.
  2. Git commit: Once the changes are made to the code, the next stage involves committing the changes to the local branch of the Git repository. A Git commit creates a new version of the code and records the changes made to the code in the Git history.
  3. Git push: After committing the changes, the code is pushed to the central Git repository for review and approval through a pull request.
  4. Git approval: After the changes are pushed, the next stage involves a Git approval process, where another team member or a designated approver reviews and approves the changes through a pull request before merging them into the target branch of the central repository (such as staging or production). Once the changes are approved and merged, they become part of the codebase and can be deployed.
  5. GitOps Synchronization and Deployment: After the changes are approved and merged into the target branch of the Git repository, the GitOps tool detects the changes and synchronizes the desired state of the system with the target environment. The GitOps tool typically does this by comparing the desired state defined in the Git repository with the actual state of the target environment, and applying any necessary changes to bring the environment into compliance with the desired state.

The synchronization process involves updating the Kubernetes manifests, Helm charts, or other infrastructure configuration files with the changes defined in the Git repository. Once the configuration files have been updated, the GitOps tool deploys the changes to the target environment using the Kubernetes API or other infrastructure management tools. The GitOps tool ensures that the deployment is consistent and reliable, using strategies like rolling updates or blue-green deployments to minimize downtime and ensure that the changes are applied in a controlled manner.


Before adopting GitOps for managing your infrastructure and applications, there are several factors you should consider.


Large enterprises often have a large number of deployments that are complex and interdependent, which can add to the standard cost of migration to GitOps. You should evaluate the costs associated with implementing and managing the necessary infrastructure and tooling for GitOps, including the cost of personnel training, as well as any ongoing costs associated with maintaining and updating the GitOps implementation.

#Additional Tools

Depending on the complexity of the infrastructure and applications being managed, you may need to adopt additional tools for testing, monitoring, and managing secrets and configurations. For example, you may need tools such as Prometheus or Grafana for monitoring, HashiCorp Vault for managing secrets, and Ansible or Puppet for configuration management.

Keep in mind that larger enterprises have a complex process for the onboarding, auditing, and adoption of new tools, which may require the approval of finance, compliance, management, and legal teams. This can significantly slow down the implementation and adoption of new tools.

#Governance and Compliance

Establishing clear policies and procedures for managing access to the Git repository and deploying changes to the infrastructure and applications is crucial for ensuring compliance with relevant regulatory requirements and security standards. Failing to take the right steps to ensure compliance could lead to severe legal and financial penalties, as well as harm the organization’s reputation.

Implementing GitOps in a large enterprise with diverse teams can also present governance challenges. Effective strategies need to be set up to ensure that teams follow established policies and procedures, including establishing clear lines of communication, training employees on the GitOps process, and regularly auditing and updating the GitOps implementation.


Adopting GitOps can introduce new security risks, such as potential vulnerabilities in the Git repository or the use of secrets in GitOps pipelines. To mitigate these risks, it’s important to ensure that appropriate security measures are in place. Some key points to consider include:

  • Implementing stringent review processes in the software lifecycle to ensure that vulnerabilities are identified and resolved early on
  • Continuous monitoring of the pipelines and infrastructure to detect any potential security threats or breaches
  • Auditing and screening third-party tools that may have been brought in with the shift to GitOps to ensure that they meet the organization’s security standards and do not introduce any new risks
  • Ensuring that secure access controls are in place to limit access to sensitive data and that sensitive data is encrypted to prevent unauthorized access


GitOps offers significant benefits for enterprises looking to improve their infrastructure and application management. By leveraging GitOps and Kubernetes together, organizations can achieve greater automation, reliability, and scalability, which is especially important for large enterprises with complex and interdependent deployments. The increased visibility and control provided by GitOps can help enterprises meet governance and compliance requirements while reducing the risk of errors and downtime. Overall, GitOps can help you streamline operations, improve your security posture, and stay competitive in a rapidly evolving market.

If you’re considering adopting GitOps to manage your Kubernetes environment, it’s worth exploring how a tool like Loft can help with the process. Loft is a platform that provides a powerful combination of GitOps and Kubernetes management capabilities. Its features include multi-tenancy, resource sharing, and self-service namespaces. With Loft, organizations can streamline their Kubernetes workflows and simplify the adoption of GitOps best practices.

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