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Tired of manual, time-consuming deployment processes that increase the risk of errors and misconfigurations?

Streamlining Deployment for Improved Performance & Security

Deployment strategy using Github, Terraform, Helm, Helmfile


Deployment is a crucial step in the Infrastructure & Software development lifecycle as it allows organizations to release their applications to the public. In today's fast-paced world, companies are looking for a deployment strategy that provides them with high reliability, scalability, and ease of use. To achieve these goals, our clients have chosen to use Terraform, Helm, and Helmfile as their deployment strategy.

  • Terraform:

Terraform is an open-source tool that provides a declarative language to describe and provision infrastructure as code. It supports multiple cloud platforms, including AWS, Google Cloud, Microsoft Azure, and many more. Terraform allows our clients to automate the creation and configuration of infrastructure resources, such as virtual machines, databases, and networking components. This makes it easier to manage infrastructure changes and to ensure that resources are in the desired state.

  • Helm

Helm is a package manager for Kubernetes that provides a way to manage and version control the deployment of applications. It allows our clients to define their applications as charts, which are a collection of templates, configuration files, and metadata. This makes it easier to manage the deployment and upgrade of complex applications with multiple components.

  • Helmfile

Helmfile is a CLI plugin for Helm that helps manage multiple Helm charts in a single file. It allows our clients to define and deploy multiple releases of a chart in different environments, such as development, staging, and production. This makes it easier to manage and version control the deployment of applications across different environments.


Strategic steps

  • Infrastructure Provisioning:

Terraform is used to provision the required infrastructure resources, such as virtual machines, databases, and networking components. This step ensures that the infrastructure is in the desired state and that all required resources are available for the deployment of the application.

  • Kubernetes Cluster Set-up:

Once the infrastructure is provisioned, Terraform is used to set up a Kubernetes cluster on the provisioned resources. This step ensures that the Kubernetes cluster is in the desired state and that it is ready to host the application.

  • Application Deployment:

Helm charts  are used to deploy the application components to the Kubernetes cluster. This step involves defining and deploying the charts that represent the different components of the application, such as front-end, back-end, databases, and other components.

  • Continuous Integration & Continuous Deployment:

To ensure that the application remains up-to-date, Continuous  Integration & Continuous Deployment (CI-CD) pipelines are set up with Github Actions. These pipelines automatically deploy the latest version of the applications to the Kubernetes cluster whenever new changes are pushed to the code repository. This step ensures a shorter time to market for applications & are always up-to-date with new features & bug fixes.


By adopting this strategy, Organizations can improve their ability to respond to changing business requirements, stay ahead of the competition, and deliver high-quality applications and services to their customers. With Git as the central source of truth, collaboration and transparency are improved, deployment is faster, security is enhanced, and rollback is made easier.

  • Improved Collaboration:

Allows teams to work together in a collaborative environment, using a single source of truth for the entire deployment process. This reduces the risk of errors and misconfigurations, as everyone is working from the same set of configurations.

  • Increased Transparency:

All changes to the deployment process are stored in a Git repository, providing a clear and transparent record of all changes. This allows teams to review and approve changes before they are deployed, improving the overall quality and stability of the deployment process.

  • Faster Deployment:

Automated deployment processes enable faster and more frequent deployments, reducing the time it takes to release new features and bug fixes. This helps organizations stay ahead of the competition and improve their ability to respond to changing business requirements.

  • Improved Security:

Provides a secure way to manage the deployment process, as all changes are stored in a Git repository and are subject to access controls and security protocols. This helps organizations ensure that their deployments are secure and that sensitive data is protected.

  • Easy Rollback:

In the event of a deployment failure, approach makes it easy to roll back to a previous version of the deployment, reducing downtime and minimizing the impact of errors. This helps organizations quickly recover from deployment failures, improving the overall reliability of the deployment process.


Sounds Interesting?

Don't wait any longer to improve your deployment process! Reach out to know more and design a strategy that suits your needs  and experience the benefits 

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