What Is Cloud Orchestration?

Cloud orchestration is the automated coordination of cloud infrastructure, services and tasks into unified workflows to streamline deployment, scaling and resource management.

Written by Kyle Brill
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UPDATED BY
Brennan Whitfield | Sep 05, 2025
Summary: Cloud orchestration is the automated coordination of cloud systems, software and services to ensure they work together efficiently. It enables consistent deployment, scalability and cost optimization across complex cloud environments.

Cloud orchestration is the automated coordination and management of cloud infrastructure, services and workflows across environments. It brings together disparate components — such as compute, storage, networking and security policies — into a unified, repeatable process to streamline deployment, scaling and operations in cloud computing.

What Is Cloud Orchestration?

Cloud orchestration is the process of automatically coordinating and managing cloud infrastructure, services and workflows to ensure they operate together efficiently. It enables organizations to deploy, scale and manage complex cloud environments through unified, automated control.

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Why Is Cloud Orchestration Important?

Cloud orchestration is crucial for several reasons.

Complexity Management

As cloud environments become increasingly complex, orchestration helps manage and coordinate multiple services and resources efficiently.

Automation

Orchestration allows developers to automate repetitive tasks, reducing manual errors and freeing up information technology teams to focus on more strategic initiatives.

Scalability

Cloud orchestration enables organizations to autoscale compute resources to meet traffic demand, ensuring performance and cost-efficiency.

Consistency

It ensures consistent deployment and management of cloud resources across different environments, reducing configuration errors and improving reliability.

 

Benefits of Cloud Orchestration

Implementing cloud orchestration offers numerous benefits.

Improved Efficiency

Automation of complex workflows reduces manual intervention and speeds up processes.

Cost Optimization

By efficiently allocating resources and automating scaling, orchestration helps optimize cloud spend.

Enhanced Security

Consistent security policy enforcement across cloud environments, such as unified identity and access management, strengthens overall security posture.

Repeatability and Self-Service

Consistency of deployment and management processes accelerates application delivery.

 

Cloud Orchestration vs. Cloud Automation

While often used interchangeably, cloud orchestration and cloud automation have distinct differences.

Cloud automation focuses on automating individual tasks or processes within a cloud environment, such as provisioning a virtual machine or backing up data.

Cloud orchestration, on the other hand, manages the relationships between various automated tasks and ensures they work together seamlessly. It’s a higher-level concept that incorporates orchestration tools to coordinate multiple cloud automation processes.

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Cloud Orchestration Models

You can apply cloud orchestration to different cloud service models.

Software-as-a-Service

In SaaS orchestration, the focus is typically on integrating disparate SaaS applications and managing user workflows across tools. This often involves using integration platforms along with centralized identity and access management to ensure data consistency and secure access.

Platform-as-a-Service

PaaS orchestration involves managing the underlying platform components, such as databases, application servers and development tools. It ensures that these components work together efficiently to support application development and deployment.

Infrastructure-as-a-Service

IaaS orchestration deals with managing and coordinating infrastructure resources like virtual machines, storage and networking. It automates the provisioning, scaling and management of these resources to support applications and services.

 

Cloud Orchestration Tools

Several tools are available to facilitate cloud orchestration.

  1. Kubernetes: An open-source container orchestration platform that automates the deployment, scaling and management of containerized applications.
  2. Terraform: An infrastructure-as-code tool that enables the definition and provisioning of cloud resources across multiple providers.
  3. AWS CloudFormation: A service that helps model and set up AWS resources, allowing you to manage infrastructure as code.
  4. Azure Resource Manager: Microsoft’s tool for deploying and managing Azure resources.
  5. Google Cloud Deployment Manager: A configuration management tool for Google Cloud Platform resources.
  6. Apache Airflow: An open-source workflow orchestration platform primarily used for managing data pipelines. Unlike traditional cloud orchestration tools, Airflow is designed for scheduling and monitoring data-centric workflows such as ETL jobs or machine learning pipelines.

These tools offer various features and capabilities, catering to different cloud environments and orchestration needs.

When choosing a cloud orchestration tool, consider factors such as whether your infrastructure is on-premise, hybrid, single-cloud or multi-cloud, as each model presents different orchestration challenges and requirements. The complexity of your environment(s) and your specific orchestration requirements for the scale of your business will help choose the right tool.

Frequently Asked Questions

Cloud orchestration is the automated coordination of cloud infrastructure, services and workflows to ensure they function together efficiently. It enables organizations to manage tasks like provisioning, scaling and deploying resources across cloud environments through a unified process.

Container orchestration is a type of cloud orchestration that focuses on managing and coordinating containerized applications. It involves automating the deployment, scaling, networking and lifecycle management of containers across clusters of hosts.

A cloud orchestration layer is a software component that sits above individual cloud services to coordinate and automate their interactions. It provides unified control over complex environments, streamlining resource allocation, workflows and integrations. Examples include Kubernetes for containers and Morpheus or Cloudify for multi-cloud management.

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