This guide explains integrating Ansible with Azure Pipelines for automated infrastructure deployment. It covers configuring inventory, group variables, roles, and a master playbook for centralized execution. The pipeline includes validation and approval stages before applying Ansible playbooks. This approach ensures efficient, reliable, and consistent CI/CD for infrastructure automation.
This guide demonstrates using Ansible playbooks with loops and conditions to automate software deployment on remote machines. Terraform's local-exec provisioner is used to trigger Ansible playbooks, ensuring seamless provisioning of infrastructure and software. The example showcases deploying Nginx, Git, and Python, conditionally based on the host's OS. Terraform provisions Azure VMs, and Ansible automates software installation via ansible-playbook.
This guide covers installing kubectl and Helm in a Kubernetes environment using Ansible roles. We define tasks for downloading, configuring, and testing kubectl, integrating them into an environment-setup.yaml playbook. The site.yaml playbook imports this setup for execution. Finally, we run it using ansible-playbook /home/azureuser/site.yaml.
This guide explores executing Ansible playbooks on remote machines using Terraform's local-exec provisioner. We define an inventory, create a playbook to install and start Nginx, and run it with ansible-playbook. The import_playbook directive helps manage multiple playbooks efficiently. Next, we'll dive deeper into advanced Ansible automation.
This guide covers setting up control and target nodes using Terraform and Ansible. We provision VMs, configure SSH access, and automate software installation with Ansible ad-hoc commands. The Terraform local-exec provisioner helps execute Ansible tasks remotely. In the next part, we'll explore Ansible playbooks in depth.
Securely automate Kubernetes sealed secrets management across multi-cloud environments with Jenkins. Dynamically handle AKS, GKE, and EKS clusters based on user-selected environments, leveraging parallel processing for efficiency.
Sealed Secrets provide a secure way to encrypt and manage sensitive Kubernetes data. Using a Jenkins pipeline with Docker-in-Docker (DIND), this solution automates secret encryption, certificate management, and deployment in Amazon AKS. It enhances security, streamlines workflows, and scales seamlessly across multiple environments.
Azure Kubernetes Service (AKS) simplifies the deployment and management of containerized applications with Kubernetes. Integrating Azure Role-Based Access Control (RBAC) with AKS enhances security by controlling user access within the Kubernetes environment. By provisioning a service principal and adding it to an Azure Active Directory (AD) group, administrators can efficiently manage permissions. This setup ensures that only authorized users and applications can access and modify resources.
Accessing Terraform modules from a separate repository enhances the modularity, reusability, and centralized maintenance of infrastructure code. By linking modules to a primary Terraform directory via HTTPS or SSH, you can ensure that modules are maintained and updated in one location, reducing redundancy and ensuring consistency.
In Terraform, dynamic blocks help automate the generation of multiple instances of a block for a variable list of configurations. In this example, a dynamic block is used to define Azure Security Group rules dynamically based on a list of virtual network rules. The rules are defined in a list of objects, and Terraform creates individual security rules for each item.