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GitOps: The Push and Pull Approach | Harness Blog

Explore the push and pull approaches in GitOps. Learn how to streamline software delivery using Git as the single source of truth.

TL;DR

  • Git serves as the single source of truth in GitOps, storing all manifest and configuration files for complete versioning and rollback capability.
  • Push-based GitOps automates deployment pipelines that trigger on code changes and push updates directly to target Kubernetes environments.
  • Pull-based GitOps uses in-cluster agents that continuously monitor Git repositories and pull changes to automatically sync the desired state with actual cluster state.
  • Harness supports both GitOps approaches: the CD module for push-based pipelines with automated triggers, and the GitOps module with agents for pull-based deployments.

While DevOps focuses on automation and speedy software development, `GitOps` is emerging as an implementation approach that aligns well with DevOps and is more equipped to simplify the complexity of advanced software delivery techniques. A software delivery approach where Git is considered the single source of truth, so it is easy to track changes and roll back in case of any failures. GitOps is gaining popularity these days because of tools such as ArgoCD and FluxCD. Today, we will try to understand what GitOps is and the push and pull approach of GitOps with some practical examples.

The Software Delivery Landscape

The software delivery landscape has made significant progress in recent years. There is a positive shift in how software is developed, deployed, and maintained today. Several key trends and cloud-native technologies are shaping the world of software delivery. The DevOps approach came a long time back; it holds a prominent space in software development, helping companies automate their software delivery with speed. This approach has gained immense popularity as organizations strive for increased agility, scalability, and continuous delivery

The advent of serverless computing and containerization technologies like Kubernetes has further streamlined the deployment and scaling of applications in the cloud. Additionally, the demand for faster time-to-market has given rise to low-code and no-code development platforms. These platforms enable developers and non-technical users to build applications rapidly with minimal coding, accelerating the software delivery process and empowering citizen developers.

The widespread adoption of DevOps practices characterizes the current software delivery landscape, the dominance of cloud computing, be it hybrid or multi-cloud, the emergence of low-code/no-code platforms, usage of AI/ML in security tools, and the growing prominence of microservices architecture. These trends and technologies have revolutionized software development, enabling organizations to deliver high-quality software solutions faster and more efficiently.

Furthermore, the increasing popularity of GitOps has recently transformed how software is deployed. This article talks about this particular approach to software delivery. Enter GitOps!

What is GitOps And How Does it Works?

GitOps is a relatively new approach in modern software delivery. It has been mostly used with Kubernetes-related deployments where Git is considered the only source of truth for whatever you do. The easy learning curve makes it simple and approachable, and every developer knows Git. What do you mean when we say, ‘Git is considered the only source of truth’? It means that all your manifest files, configuration files etc, are stored in Git. The common GitOps approach works on the basis of the actual and desired state, whenever there is a change in the desired state (our Git repo) and the actual state (our target environment), the GitOps agent pulls the changes to make sure both the states are even. An agent keeps track of any changes made in the Git repository. 

There are basically two GitOps approaches:

The Push Approach (aka the Pipeline Approach):

‍The Push Approach

This is more closer to your classic CD pipeline approach that is automated. Whenever a change happens in the Git repo, the CD pipeline triggers and pushes the changes to the target environment. 

The Pull Approach:

‍The Pull Approach

The pull approach has become a standard approach where tools like ArgoCD are used. Here, an agent keeps track of the changes happening in your Git repo, the desired state, and it automatically pulls changes to match the actual state of the system. 

You can configure both approaches at Harness and speed up your software delivery game. Let’s see how both push and pull GitOps approaches work using Harness.

GitOps Push Approach Using Harness

When a developer or an automated process makes changes to the infrastructure configuration or application code, they push those changes to the Git repository. The changes are then automatically picked up by the CI/CD pipeline, which validates the changes, builds the necessary artifacts, and deploys them to the target environment.

An example of a push-based GitOps approach would be a team that uses a CI/CD tool to push changes to a Kubernetes cluster. You can easily create your deployment pipeline in Harness using the CD module. If you don’t have a repo to try, use this harnesscd example apps, where all the manifest details are stored in Git. You need to have access to a Kubernetes cluster from any cloud provider, as we consider Kubernetes as our target deployment environment here. 

Signup at Harness and select the Harness CD module to get started. Follow the instructions in the “CD Pipeline” section of the “Deploy using Helm Chart” tutorial. You will create a pipeline first and then run the pipeline to see a successful deployment.

GitOps Push Approach Using Harness

But this deployment wasn’t done in an automated fashion to represent the GitOps push approach.  For this, we need to save everything and add the trigger. To make the deployments happen in an automated fashion, we can make use of ‘Triggers’.

GitOps Push Approach Using Harness

Configure a ‘Push’ trigger so that the deployment should happen automatically whenever any code push happens to the main branch.

GitOps Push Approach Using Harness

Now, the deployment pipeline gets triggered whenever any code push happens to the application repository. Let’s push/commit a small change to my repository by changing the deployment replica count.

Suddenly you will see the deployment pipeline getting triggered automatically.

GitOps Push Approach Using Harness

You can also check your pipeline.

GitOps Push Approach Using Harness

This way, the infrastructure and manifest changes trigger the pipeline and push changes to the Kubernetes cluster. This GitOps push approach can be easily configured using the Harness CD module. 

GitOps Pull Approach Using Harness

Under the CD module, you can see the ‘GitOps’ tab, and that is where we start building a GitOps pipeline. It will be empty as we haven’t configured anything yet. As you click the ‘GitOps’ tab, you will notice your GitOps dashboard with details of applications, repositories, clusters etc.

A Harness GitOps Agent is a worker process that runs in your environment and performs GitOps tasks. You need to set up an Agent before you can set up a Cluster, Repository, or Application

GitOps Pull Approach Using Harness

In the GitOps settings tab, you start configuring and installing the GitOps agent needed first.

GitOps Pull Approach Using Harness

Click on the ‘GitOps Agent’, and the step-by-step self-explaining guide will help you with simple steps to install the ‘GitOps Agent’.

GitOps Pull Approach Using Harness
GitOps Pull Approach Using Harness

Once the installation is successful, you should see green checks against each parameter, as shown below.

GitOps Pull Approach Using Harness

Next, add the application you like to deploy with the GitOps approach. Fork this harnesscd example apps repo and use it to deploy the Helm guestbook application. [If you have already forked the repository, ignore this]

GitOps Pull Approach Using Harness

Add the repository name, and mention the GitOps agent and repo URL. In the source, add the details required as shown and continue.

GitOps Pull Approach Using Harness
GitOps Pull Approach Using Harness

The GitOps dashboard shows your application with the ‘SYNCED’ and ‘HEALTHY’ state. Immediately you might see the ‘UNSYNCED’ & ‘UNHEALTHY’ state of the app, and it might take some time to pull the changes. Configure automated syncing so the process looks smooth, as you don’t have to go and do the sync manually.

GitOps Pull Approach Using Harness

Now, if any of your developers push code and change anything in the application’s repository, the agent we installed notices that something is changed and immediately pulls that change to make the desired and actual states even. This is how easy to configure a pull based GitOps approach at Harness.

When to use GitOps pull approach

  • Suitable for stable and controlled environments: If you have a more stable production environment where you want to ensure control and stability, the pull approach can be preferable. With this approach, the target environment periodically pulls and applies the changes from the Git repository.
  • Automated verification: Pull-based GitOps allows for automated verification of changes.
  • Rollback and auditability: The pull approach allows for easier rollbacks and better auditability. If an issue is identified after a deployment, you can roll back to a previous known good state by reverting the Git repository to a specific commit.

Conclusion

GitOps is revolutionizing the software industry with its powerful and efficient approach to managing and deploying applications. By leveraging the familiar and robust Git version control system, organizations can achieve remarkable speed, reliability, and scalability benefits. The future of GitOps appears exceedingly promising as more and more companies embrace this paradigm shift.

With its ability to bring together development and operations seamlessly, GitOps streamlines workflows, enhances collaboration, and reduces the risk of errors. As the industry continues to evolve, GitOps is poised to play a pivotal role in driving innovation and enabling organizations to rapidly adapt to changing market demands. Embracing GitOps is not just a trend; it's a strategic decision that paves the way for a fantastic future in the software industry.

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GitOps Tools for Kubernetes: Best Platforms to Scale Continuous Delivery

Harness Platform

GitOps Tools for Kubernetes: Best Platforms to Scale Continuous Delivery

May 24, 2022

Dan Lamm

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Time to Read

GitOps has quickly become one of the most talked-about approaches in modern software delivery. Engineering teams are embracing GitOps projects because they promise faster deployments, stronger consistency, and a fully declarative way to manage infrastructure and applications.

But as GitOps adoption grows, so does the number of tools claiming to support it.

With open source solutions like Argo CD and Flux, and enterprise-grade offerings like Harness GitOps, it can be difficult to know where to start or which tool will truly scale with your organization.

What Is GitOps?

GitOps is a modern deployment methodology that uses Git repositories as the central control plane for both infrastructure and application delivery.

In traditional deployment models, changes may be applied manually, through pipeline scripts, or through a combination of tools that can become fragmented over time. GitOps simplifies this by treating Git not only as a version control system, but as the single source of truth for the desired state of your environments.

In a GitOps workflow:

  • Developers define infrastructure and application configuration declaratively
  • That configuration is stored and versioned in Git
  • Any approved change merged into Git becomes the authoritative desired state
  • Automated agents continuously reconcile the live cluster state with Git

This means your Kubernetes cluster is always being “pulled” toward what Git declares, rather than relying on manual pushes or ad-hoc fixes.

GitOps is particularly powerful because it combines familiar developer practices (pull requests, commits, reviews) with operational stability and automation.

Why GitOps Matters for Continuous Delivery

GitOps is often described as the next evolution of Continuous Delivery, especially in Kubernetes-first environments.

Traditional Continuous Delivery pipelines typically involve:

  • Multiple pipeline stages
  • Manual approvals and gates
  • Deployment scripts that must be maintained
  • Separate configuration management systems
  • Operational overhead when environments drift

While these systems work, they can become increasingly difficult to scale as organizations grow in complexity.

GitOps introduces a different mental model:

Instead of pipelines pushing changes into environments, Git becomes the source of truth and the environment continuously syncs itself to match Git.

This creates a deployment process that is:

  • More automated
  • More repeatable
  • Easier to audit
  • Less prone to human error

For organizations deploying across many clusters, regions, or teams, GitOps provides a scalable foundation for consistent delivery. 

However, even with GitOps simplifying deployment, other orchestration tasks handled by continuous delivery pipelines typically remain. A deployment to a test environment should often trigger tests. If those tests pass, the next deployment may be triggered. This orchestration is still desirable.

In a GitOps environment, a separate orchestrator (often a CD tool) is needed. Critically, the triggering of the next deployment should involve the automation interacting with Git, not moving the bits directly.

Key Benefits of GitOps

GitOps is more than a trendy DevOps term. It delivers tangible operational and organizational advantages. Here are some of the key benefits of GitOps. 

Consistency Across Environments

One of the biggest challenges in Kubernetes deployments is environment inconsistency.

Without GitOps, staging, QA, and production clusters can drift apart over time due to manual updates or configuration mismatches.

GitOps ensures that every environment is defined in Git, meaning deployments are reproducible and consistent. If the configuration is correct in Git, it will be correct everywhere.

Drift Detection and Automatic Correction

Drift occurs when the live state of a cluster differs from the desired state stored in Git.

For example:

  • Someone manually updates a Kubernetes resource
  • A configuration change is applied outside the deployment process
  • A cluster component is modified unexpectedly

GitOps tools detect this drift, and either alert teams or automatically reconcile the environment back to the declared Git state.

This makes deployments more stable and reduces the risk of “invisible” configuration changes.

Developer-Centric Workflows

GitOps is popular because it aligns deployment with workflows developers already use daily.

Instead of learning new tools or requesting deployments through operations teams, developers can:

  • Open pull requests
  • Review changes
  • Merge updates
  • Trigger automated deployments

This increases speed, collaboration, and ownership across teams.

Stronger Security and Compliance

Because every change is stored in Git, GitOps provides built-in traceability.

Teams gain:

  • Full audit history
  • Approval workflows
  • Rollbacks through Git commits
  • Better governance over production changes

This is especially important for regulated industries where compliance is mandatory.

Evaluation Criteria: How to Choose the Best GitOps Tool

There are three main categories to consider when evaluating a GitOps solution: essential features, ease of use, and enterprise capabilities. 

1. Essential GitOps Features

At a minimum, every GitOps solution should support the core principles of GitOps, including:

  • Continuous synchronization between Git and the cluster
  • Drift detection and remediation
  • Declarative application definitions
  • Rollback support through Git history
  • Compatibility with Kubernetes manifests, Helm, and Kustomize

Without these essentials, a tool may support Git-based deployments, but it is not truly GitOps.

2. Ease of Use and Developer Experience

GitOps promises simplicity, but tooling complexity can vary dramatically.

A tool may be excellent technically, but adoption will suffer if:

  • Setup is difficult
  • Dashboards are missing
  • Developers can’t easily observe deployments
  • Multi-team workflows become cumbersome

Ease of use matters because GitOps is intended to reduce friction, not add more operational burden.

3. Enterprise Capabilities

GitOps is powerful, but scaling it across an organization requires more than basic sync functionality.

Enterprises often need:

  • Centralized management across clusters
  • Role-based access control (RBAC)
  • Audit trails and compliance reporting
  • Policy enforcement
  • Multi-tenant support
  • Orchestration with functional testing and dynamic security scanning
  • Integration with CI, CD pipelines, and feature delivery

This is where many open source tools reach their limits and enterprise platforms provide added value.

Open Source GitOps Tools

Open source GitOps tools form the foundation of the ecosystem and are widely adopted for Kubernetes deployments.

Argo CD

Argo CD is the most popular open source GitOps tool for Kubernetes and is often the first platform teams explore when adopting GitOps.

It is known for:

  • Strong synchronization and drift detection
  • An intuitive user interface
  • Quick onboarding for Kubernetes teams
  • A large and active community

Argo CD makes Kubernetes deployments more approachable by abstracting away much of the operational complexity. Developers can commit changes to Git and trust Argo to reconcile those updates automatically.

Limitations of Argo CD

While Argo CD excels at core GitOps workflows, organizations often encounter challenges when scaling, including:

  • Limited centralized governance
  • RBAC complexity in multi-team environments
  • Lack of advanced audit and compliance controls
  • Difficult management of multiple Argo instances

Argo is excellent for foundational GitOps, but enterprises typically require additional layers for secure scale.

Flux

Flux is another major open source GitOps project, originally developed by Weaveworks and now part of the CNCF ecosystem.

Flux takes a more modular, CLI-first approach compared to Argo CD.

Strengths of Flux

Flux is valued for:

  • Kubernetes-native design
  • Flexibility in automation
  • Strong GitOps reconciliation engine
  • Extensibility for advanced workflows

Some teams prefer Flux because it provides building blocks rather than a prescriptive UI-driven experience.

Challenges with Flux

However, many users report that Flux:

  • Requires more time to configure
  • Has less built-in visibility without additional tooling
  • Needs custom governance solutions for compliance

Flux can be powerful, but scaling it often depends heavily on internal platform engineering maturity.

SaaS GitOps Tools

Many organizations adopt commercial GitOps platforms because they need enterprise-ready controls, support, and integrations beyond open source basics.

CodeFresh

CodeFresh is a SaaS platform built on top of Argo CD that provides enhanced GitOps management for enterprise teams.

It offers:

  • Centralized control across Argo instances
  • Improved visibility and dashboards
  • Security enhancements
  • Audit trails for compliance

CodeFresh helps bridge the gap between open source Argo CD and DevOps teams’  requirements.

Limitations

However, GitOps is only one part of the delivery lifecycle. CodeFresh does not provide a full end-to-end platform with:

  • Feature flagging
  • Full CI artifact workflows

Teams may still need additional tools to achieve complete Continuous Deployment maturity. 

GitLab

GitLab is a strong SCM (Source Code Management) and solid CI (Continuous Integration) platform that pioneered the "single application" approach for the entire SDLC.

GitLab has made significant strides in the GitOps space by moving away from proprietary deployment methods to embrace open-source standards.

  • Native Flux Integration: GitLab now recommends Flux for pull-based GitOps, allowing users to bootstrap Flux directly via the GitLab CLI (glab) and maintain synchronization between Git and their clusters.
  • Integrated Cluster Observability: Through the GitLab Agent for Kubernetes, teams can visualize Flux-managed resource statuses and deployment health directly within the GitLab UI.
  • The "All-in-One" Advantage: For teams already deeply embedded in GitLab for SCM and CI, the Flux integration provides a consolidated experience that reduces the need to jump between external tools for basic reconciliation.

GitLab’s capabilities are not as rich as those of other enterprise GitOps tools, but they provide more than some DevOps platform alternatives like GitHub (Actions). 

Harness

Harness is widely regarded as the premier enterprise-grade software delivery platform, designed to support modern deployment strategies at scale.

Harness CD supports both:

  • Pipeline-based Continuous Deployment
  • GitOps-based Kubernetes deployments

Harness GitOps integrates with Argo CDwhile adding enterprise-grade governance, security, and usability.

Why Harness Stands Out

Harness provides:

  • Full GitOps essentials (sync + drift detection)
  • Centralized multi-cluster management
  • Native support for Argo Rollouts and ApplicationSets
  • Granular RBAC for teams and environments
  • Detailed audit trails for compliance
  • Policy enforcement at scale

Most importantly, Harness is not only a GitOps tool. It is a complete software delivery platform.

Harness also includes:

  • Best-in-class CI for artifact generation
  • Advanced CD orchestration
  • Feature flags for safe rollouts
  • Additional tools for cost and reliability optimization

For organizations serious about scaling GitOps beyond experimentation, Harness offers the most complete solution.

Conclusion: Not All GitOps Tools Are Created Equally

GitOps has gone from infrastructure automation to the preferred way to deploy software in the DevOps community. Since it is a relatively new discipline, companies are scrambling to be the single tool used for GitOps. 

We've discussed tools solely focused on creating a GitOps pipeline, and we've discussed other tools that are focused on the entire software delivery process. We recommend that when you're evaluating tools, you consider how GitOps will scale at your company. 

GitOps can't exist in a vacuum. It needs the support of a full platform to be implemented successfully over the long term. For a detailed look at how to implement a GitOps deployment process at your organization, check out our blog on latest GitOps best practices.

We believe Harness GitOps is the best combination of GitOps functionality and platform capabilities. If you're interested in Harness GitOps, you can sign up to try it for free today.

Frequently Asked Questions (FAQ)

What is the best GitOps tool for Kubernetes?

The best GitOps tool depends on your organization’s scale and needs. Argo CD and Flux are excellent open source options, while enterprise platforms like Harness GitOps provide the governance, security, and delivery capabilities required for large-scale adoption.

Is Argo CD enough for enterprise GitOps?

Argo CD provides strong core GitOps functionality, but enterprises often require additional features like centralized management, granular RBAC, compliance audit trails, and policy enforcement, which may require commercial enhancements or platforms.

What is the difference between Flux and Argo CD?

Argo CD is UI-driven and often easier to onboard, while Flux is more modular and CLI-first. Flux offers flexibility but may require more setup, whereas Argo CD provides a more immediate developer-friendly experience. Argo has significantly more market adoption. 

Do you still need CI/CD pipelines with GitOps?

Yes. GitOps focuses on deployment and environment synchronization, but organizations still need CI pipelines to build artifacts, run tests, and ensure code quality. While GitOps is effective for deploying the bits, the deployment to a test environment typically precedes activities like testing, which are orchestrated by CD pipelines. That orchestration doesn’t go away.

Why do enterprises choose Harness GitOps?

Enterprises choose Harness GitOps because it combines GitOps workflows with enterprise-grade security, governance, centralized management, and integration with full CI/CD pipelines and feature management.

Managing the 'Git' in 'GitOps': 4 Ways to Structure Code in Your GitOps Repos

Continuous Delivery & GitOps

Managing the 'Git' in 'GitOps': 4 Ways to Structure Code in Your GitOps Repos

June 10, 2022

Jim Sheldon

+ more
Time to Read

Implementing GitOps practices will take your software delivery pipelines to the next level. Declarative, immutable, and continuously reconciled infrastructure brings many benefits when managed through GitOps best practices. Over the years, I have helped many development teams build and improve their GitOps workflows. In this blog, I will share four approaches to managing code used in those pipelines.

The "Ops" half of "GitOps" refers to configuration code, or Infrastructure as Code (IaC). Software depends on the resources managed by this code to function. Managing this configuration in Git repositories offers many benefits. Often the structure of this code is an afterthought, which leads to significant refactoring in the future.

Application and Infrastructure Code in One Repository

The first example manages application code and infrastructure code in the same repository. A single long-lived branch exists (main).

Example

Below is a Node.js project with application code in the root, and YAML files in the kubernetes directory. Changes to development.yaml apply to the development environment, changes to production.yaml apply to the production environment.

Node.js project with application code in the root

Benefits

  • Infrastructure code and application code in the same repository keeps everything versioned together. There is no need to connect the dots between multiple repositories to reproduce the state of the application and configuration at a certain point in time.
  • One repository means less context switching for developers. Developers don’t need to change repositories when making changes to infrastructure code.

Drawbacks

  • No privilege separation. Developers with access to the repository will be able to change both application and infrastructure code.

Some organizations require separation between application and infrastructure code. The examples below all manage application and infrastructure code in their own repositories. This improves privilege separation as each Git repository can set its own user privileges.

Separate Infrastructure Repository, Multiple Branches

You may be familiar with Git branching workflows such as Gitflow(https://www.atlassian.com/git/tutorials/comparing-workflows/gitflow-workflow). Gitflow has fallen out of favor recently as trunk-based development has gained popularity. There are good reasons to avoid more than one long-lived branch in your Git repository. Yet, multiple long-lived branches are still worth considering in certain cases.

Example

Below is a Helm chart repository with two long-lived branches, development, and production. Changes always originate in the development branch. Promotion to production requires merging development into production. The development environment uses the development-values.yaml values file in the development branch. The production environment uses the production-values.yaml values file in the production branch.

Helm chart repo

Benefits

  • Low risk of configuration drift when promoting changes between environments. Merging branches ensures that no changes will be missed.
  • Improved privilege separation between development and production changes. For example, GitHub supports branch protection rules. The owner of the repository can control which users can commit to a branch.

Drawbacks

  • This is a “one lane road” for your infrastructure code. Changes in the development branch can block production changes (without cherry-picking desired changes).

Separate Infrastructure Repository, Directory-Based

Now, let’s consider a repository where a single long-lived branch exists (main). Each environment has its own directory.

Example

Below is a Terraform repository with separate development and production directories. Changes to development use the development.tfvars tfvars file in the development directory. Changes to production use the production.tfvars tfvars file in the production directory.

Terraform repository

Benefits

  • Changes made in the development directory do not affect the production directory.

Drawbacks

  • Increased risk of configuration drift between environments. There is a high burden on the developer to understand differences between directories.
  • No privilege separation. Users can make changes to both development and production environments.

Multiple Infrastructure Repositories, One per Environment

Let’s consider an approach where each environment has its own dedicated repository. Each repository has a single long-lived branch (main).

Example

Here is an example Terraform project, where development and production are separate repositories. Changes to development use the development.tfvars tfvars file in the development repository. Changes to production use the production.tfvars tfvars file in the production repository.

Terraform project

Benefits

  • Highest level of privilege separation. Any feature that your Git host provides around user/group access at the repository level will be available to you. Only users that need to make changes to production will be able to commit changes to the production repository.
  • Easier to bring up new environments, or migrate existing environments. When bringing up a new environment, create a new repository. There is no need to integrate with an existing repository to bring up a new environment. 

Drawbacks

  • Higher risk for configuration drift between environments. There is a high burden on the developer to understand differences between repositories.

Conclusion

In my experience, one repository per environment is the most future-proof method for managing your GitOps code. The privilege and environment separation benefits outweigh the potential drawbacks. If you decide the separation is not required in the future, you can collapse multiple repositories into one. The good news is that whatever method you choose, Harness’ suite of products supports them all.

Whether you are building, testing, and publishing artifacts with Harness CI, deploying with Harness CD, or taking your pipelines to the next level with Harness GitOps (currently in beta), we’ve got you covered! Also, every Harness pipeline can take advantage of advanced features around governance, chaos engineering, and more.

Come see how Harness can help accelerate your GitOps journey. Sign up for a 14-day free trial and follow our Kubernetes CD Quickstart guide to deploy an application to your cluster. If you are looking for a guided tour, book a demo.

We would love to answer any questions you might have in our forum, community Slack, or at an upcoming Harness & Drone User Group virtual meetup.

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Pavan Belagatti
Developer Advocate
Pavan is an award winning developer evangelist.
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Pavan Belagatti