Cloud automation
What is cloud automation?

Cloud automation uses tools and technology to automate cloud-based processes, minimizing human intervention. It involves the implementation of scripts, workflows, and configurations to manage and control cloud resources and services efficiently. This can include the automatic provisioning and de-provisioning of resources, scaling applications, managing storage, monitoring performance, and ensuring security compliance. The goal of cloud automation is to increase efficiency, reduce human error, lower operational costs, and enable a more agile and scalable IT infrastructure. Terraform, Ansible, and AWS CloudFormation are Infrastructure as Code (IaC) frameworks that automate infrastructure setup and administration, letting teams focus on strategic activities (not maintenance).

Engineer using cloud automation to deliver the final output.
  • What is cloud automation vs orchestration?
  • What cloud management processes can be automated?
  • What are the benefits of cloud automation?
  • What are the challenges in cloud automation?
  • What are the types of cloud automation?
  • What are the use cases of cloud automation?
  • What are the best practices for cloud automation?
  • What are the HPE cloud automations solutions?
What is cloud automation vs orchestration?

What is cloud automation vs orchestration?

Cloud automation involves automating individual tasks or processes within a cloud environment. It primarily focuses on specific, singular tasks such as provisioning servers or deploying applications. The main goal of cloud automation is to minimize manual intervention for repetitive processes, thereby increasing speed and consistency.

Examples of tools that facilitate this include HPE OpsRamp, HPE Morpheus, Terraform, Ansible, and CloudFormation, which are used for configuring servers and networks. This approach is particularly useful for tasks like server configuration, network setup, and application deployment.

Whereas Cloud orchestration involves coordinating multiple automated tasks into a workflow to handle complex, multi-step processes. It manages the sequence and interaction of various tasks across resources. The primary goal is to ensure the smooth execution of interconnected tasks to achieve broader operational objectives, such as full application deployment. Tools like Kubernetes and OpenStack are commonly used to manage multi-service deployments and orchestrate resources. This approach is particularly suitable for more complex processes, such as deploying and scaling multi-tier applications with multiple dependencies.

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