10 Most Useful Cloud Orchestration Tools & Platforms [2026]

If you are running infrastructure across more than one cloud, you have probably hit the same wall everyone else does: each provider has its own console, its own IAM model, its own CLI, and none of them know the others exist. The work of stitching them together falls on your platform team.

Cloud orchestrators try to close that gap. They let you interact with multiple cloud services through one platform, automate cross-cloud workflows, and template the operations you do over and over so you stop doing them by hand.

In this article, we’ll explain what cloud orchestrators are and how they differ from other kinds of automation. Then we’ll walk through the leading cloud orchestration platforms.

We will cover:

1. What are cloud orchestrators?
2. Why use cloud orchestrators?
3. Most useful cloud orchestrators
4. Cloud orchestration vs cloud automation

Cloud orchestrators pull cloud operations into one place. They automate cloud processes, abstract away differences between providers, and provide comprehensive visibility into the current state of your resources. You’d use one to coordinate environments, cut the manual work, and open up self-service for developers.

What is orchestration in DevOps?

“Orchestration” is a DevOps term that refers to using automation to coordinate multiple complex stages in a process.

For example, spinning up a new cloud Kubernetes cluster usually involves several distinct steps to configure your cloud platform, create the control plane, add Nodes, and provision storage; a cloud orchestrator could automate the entire sequence for you.

Arguably the best-known form of orchestration is container orchestration. Container orchestrators like Kubernetes automate the process of deploying, scaling, and administering containers. By contrast, cloud orchestrators manage your cloud infrastructure components—these are your compute instances, networking devices, storage volumes, and other cloud resources.

Most cloud-native workflows combine several kinds of orchestration. You might use a cloud orchestrator to provision a new Kubernetes cluster, which then acts as a container orchestrator to deploy your applications.

Learn more about cloud-native security.

Cloud orchestrators have several benefits compared to ad-hoc automation or relying on the tools built into your cloud provider’s management UI:

• Automate infrastructure across public, hybrid, and private clouds. Cloud orchestrators allow you to carry out operations across your entire infrastructure from one holistic view. Unifying your infrastructure using an orchestrator allows you to automate complex workflows, such as building an asset in one cloud, deploying it to another, and then streaming metrics to an observability suite in a third location.
• Enable multi-cloud workflows. Going multi-cloud is an ambition for many organizations, but it’s often hard to achieve because individual clouds are rarely designed to directly integrate with each other. Cloud orchestrators narrow the gap by treating all clouds as one part of your broader infrastructure. Check out how you can use IaC to optimize your multicloud strategy.
• Consolidate operations with a platform-based approach instead of individual tools. Using an orchestrator means there’s only one account to log into. You interact with your infrastructure via a single consistent platform instead of relying on disparate toolchains that have to grow each time you use a new service.
• Reduce your dependence on a single service. The benefit of cloud provider abstraction helps to reduce your dependence on specific services. If you need to migrate away from a provider, you can use your orchestrator to provision replacement infrastructure without drastically changing your existing processes.
• Provide self-service access for infrastructure teams and developers. Cloud orchestrators make it easier to extend self-service infrastructure access to developers. You don’t have to provide direct access to your cloud accounts, improving security and accountability.

Why does this matter in practice? A platform team running three clouds without an orchestration layer spends a meaningful share of every week reconciling tickets, manually wiring environments, and explaining to developers why they can’t have what they’re asking for. 

A working orchestration layer doesn’t eliminate that work, but it compresses it from a recurring queue into a one-time configuration job. If your team is the bottleneck for every new environment, that’s the gap a cloud orchestrator is meant to close.

A cloud orchestration platform automates the deployment, scaling, and management of cloud infrastructure and services. It integrates various cloud components (virtual machines, containers, storage, networking) into a coordinated workflow, reducing manual effort and keeping environments consistent.

Unlike basic automation tools, orchestration platforms handle multi-step processes, such as provisioning resources, enforcing policies, and optimizing workloads based on demand.

The four categories we use in this article:

1. Multi-cloud management platforms. Purpose-built cloud orchestrators with a UI, a workflow engine, and cross-cloud abstractions. Cloudbolt, Morpheus, and BMC live here.
2. Infrastructure-as-code tools. Terraform, OpenTofu, CloudFormation. They provision; you build the orchestration logic on top.
3. Configuration management tools. Puppet, Red Hat Ansible. They enforce state on existing resources and can stretch into orchestration with effort.
4. Kubernetes-native and IaaS platforms. Crossplane and OpenStack model cloud resources as Kubernetes objects or as a self-hosted IaaS substrate.

The top cloud orchestration tools include:

1. CloudBolt
2. Morpheus
3. Crossplane
4. Puppet
5. AWS CloudFormation
6. Azure Automation
7. BMC Multi-Cloud Platforms
8. Terraform
9. Red Hat Ansible
10. OpenStack

CloudBolt started as a hybrid cloud management platform and has shifted hard toward FinOps and cost optimization since its 2025 acquisition of StormForge. It monitors utilization across your cloud accounts and surfaces forgotten deployments, unused resources, and cost anomalies in a single pane of glass.

CloudBolt analyzes your workloads, recommends changes, and now (via StormForge) automatically adjusts Kubernetes resource requests and limits to match real-time demand. Security posture reporting and policy guardrails sit alongside the cost work, so the same console covers compliance, optimization, and provisioning.

Best fit: Enterprises running multi-cloud who want cost intelligence and Kubernetes optimization in the same console as their provisioning workflows. Pricing is not published, so expect a sales conversation as the first step.

Cloudbolt ratings and reviews:

• G2: 4.4/5 (8 reviews)

Morpheus is a self-service management layer for hybrid cloud scenarios, designed to centralize access to public clouds and existing on-premises environments. It supports application-level resources alongside infrastructure, including containers.

AWS, Azure, GCP, Kubernetes, Nutanix, and VMware are all supported as cloud providers. You unify them into a single tenancy model and then expose self-service provisioning to developers within the guardrails you define.

Context worth knowing: HPE acquired Morpheus in 2024, and the platform is now the foundation for the cloud management capabilities inside HPE GreenLake. Morpheus continues to be sold as a standalone product, but the roadmap is increasingly tied to GreenLake integration.

Best fit: Teams unifying public clouds with existing on-premises VMware or Nutanix environments, especially those already in the HPE ecosystem or evaluating GreenLake.

Morpheus ratings and reviews:

• G2: 4.7/5 (14 reviews)

Crossplane is an open-source control plane that turns cloud resources into Kubernetes objects. You declare an S3 bucket, an RDS instance, or a GKE cluster as a Kubernetes manifest, and a Crossplane provider reconciles it against the cloud API the same way the built-in controllers reconcile Pods.

The model has gained ground as platform teams already running Kubernetes look to manage cloud infrastructure with the same tooling, the same RBAC, and the same GitOps workflows. Crossplane Compositions let platform teams package higher-level abstractions, for example, a “Postgres database” that is in reality an RDS instance plus a security group plus a subnet group, and expose them as self-service primitives to developers.

Crossplane v2, released in 2025, expanded the model from infrastructure-only control planes to application-level control planes too. In November 2025, Crossplane became a graduated CNCF project, the highest maturity tier, alongside Kubernetes and Envoy. It is Apache 2.0 licensed.

Best fit: Teams where Kubernetes is already the operational substrate. Not the right call if it is not, because you would be adding a Kubernetes cluster solely to run a control plane.

Crossplane adoption signals:

• ~11.7k GitHub stars on the core repo

Puppet is an enterprise infrastructure automation and compliance tool with a centralized dashboard for managing cloud infrastructure across AWS, Azure, Google Cloud, and VMware accounts. The declarative model is familiar to anyone who has used Terraform or Ansible: you define what your infrastructure should look like, and Puppet applies the actions needed to reach that state. Drift is reconciled automatically.

Strictly speaking, Puppet is more an automation engine than a ready-made orchestrator. We have included it because teams use it to set up their own orchestration workflows across multi-cloud environments, letting them shape infrastructure that meets their exact requirements.

Context worth knowing: Puppet was acquired by Perforce in 2022, and in early 2025 Perforce moved new Puppet binaries to a private repository, accessible to community contributors under an EULA with usage capped at 25 nodes for non-commercial use. 

The community responded by forking the open-source code as OpenVox, now maintained by Vox Pupuli — the long-standing community organization behind ~200 Puppet modules. If a fully open Puppet matters to you, OpenVox is where the activity is. If you want the commercial support, Puppet Enterprise is still the answer.

Puppet Bolt remains available for ad-hoc automation, running scripts and commands across remote targets without the full agent install.

Best fit: Teams already running Puppet for server configuration who want to extend the declarative model to cloud resources rather than add a second tool.

Puppet adoption signals:

• ~7.9k GitHub stars on puppetlabs/puppet

AWS CloudFormation is the AWS-native IaC service for orchestrating AWS. It automates operations across multiple AWS accounts and regions. Like Puppet and Terraform, CloudFormation focuses on provisioning rather than orchestration, but you can compose the provisioning primitives into orchestration workflows.i

Infrastructure resources are defined in JSON or YAML templates. Once you have a template, you provision the requested resources through the CloudFormation console, API, or CLI in your AWS account. 

The IaC Generator, added in 2024, scans an existing AWS account and generates CloudFormation templates (or CDK apps) for resources that were created manually, which closes the most painful gap in adopting CloudFormation against an existing AWS estate.

Context worth knowing: CloudFormation was the default AWS choice from 2011 through roughly 2018, when Terraform’s multi-cloud story and AWS CDK’s general-language model (TypeScript, Python, Go) started pulling AWS-only shops toward alternatives. 

CloudFormation is still the right answer for teams that want a fully managed, AWS-native state engine and do not mind YAML. It is a harder sell for teams that prefer reading code over reading templates.

Best fit: AWS-only or AWS-first teams that want IaC inside the AWS billing and IAM perimeter, with no third-party state backend.

AWS CloudFormation ratings and reviews:

• G2: 4.4/5 (212 reviews)

Azure Automation is Microsoft’s runbook automation service for orchestrating cloud operations. It targets Azure first and integrates with other cloud platforms and on-premises environments through Hybrid Runbook Workers. Both Windows and Linux hosts are supported.

The platform focuses on process automation, configuration management, and inventory visibility. You can inspect the state of your resources, for example which hosts have installed a particular package or update, and apply configuration changes through PowerShell or Python runbooks.

Context worth knowing: the Update Management feature inside Azure Automation was retired on August 31, 2024 and replaced by Azure Update Manager, a separate native service. If you are evaluating Azure Automation today for patching, you want Azure Update Manager instead. Azure Automation itself continues for runbooks, Desired State Configuration, and process automation.

Best fit: Azure-first shops, especially those running mixed Windows and Linux estates, that want a managed automation service inside the Azure billing and IAM perimeter.

Azure Automation ratings and reviews:

• G2: 4.5/5 (41 reviews)

BMC’s product catalog is a suite of separate products that, taken together, function as a cloud orchestration stack: 

• BMC Helix for ITSM and AIOps across clouds 
• BMC Helix Discovery for asset and dependency mapping
• BMC Helix Multi-Cloud Broker for service request and incident handling across providers
• Control-M for workflow and application orchestration

You can use these to deploy services, gain visibility into your assets, and migrate workloads between clouds.

The strength is breadth. BMC has deep coverage across IT service management, mainframe automation, AIOps, and workload orchestration, all integrated with the multi-cloud layer. The trade-off is that you are adopting a portfolio rather than a single product, which means more procurement and more integration work than picking an all-in-one platform like CloudBolt or Morpheus.

Best fit: Large enterprises already buying from BMC who want cloud orchestration as part of a broader ITSM and operations footprint, especially those with mainframe or workload-heavy estates where Control-M already runs.

Terraform is the most widely adopted IaC tool and remains a strong option for hands-on cloud orchestration. As with Puppet and CloudFormation, Terraform does not orchestrate automatically. It gives you the primitives to build your own workflows across any cloud provider. You define your entire infrastructure in Terraform files, then apply those files to create your cloud resources.

Terraform supports policy-as-code through Sentinel (HashiCorp) or OPA (open-source), so security guardrails travel with deployments. The same model enables self-service developer access: users run workflows within the constraints you impose.

One of Terraform’s strengths is the size and depth of its community. The trade-off is the learning curve, both for HCL and for the specifics of each cloud provider’s resources, which can feel heavy for simple use cases where a no-code orchestrator would do.

Context worth knowing: HashiCorp moved Terraform to the Business Source License in August 2023, ending the days of fully open-source Terraform. IBM completed its $6.4B acquisition of HashiCorp in February 2025 and now owns both Terraform and (via Red Hat) Ansible.

The OpenTofu fork, launched after the BSL change, is now an active project under the Linux Foundation umbrella, with its own release cadence and features Terraform does not have (state encryption, early variable evaluation, exclude flags). OpenTofu is still largely a drop-in replacement for current Terraform versions, but the two are diverging.

• Terraform: ~48k GitHub stars
• OpenTofu: ~29k GitHub stars

Best fit: Teams that want a single IaC tool across multiple clouds with the largest provider ecosystem and the deepest community. Pick OpenTofu if licensing terms or open governance matter to you. Pick Terraform if you want HashiCorp’s commercial support or HCP integration.

Red Hat Ansible Automation Platform (AAP) is the commercial layer on top of Ansible Core, the widely adopted agentless automation tool. Where Ansible Core gives you the language and the runtime, AAP turns it into a platform: Automation Controller for orchestration and RBAC, automation hub for content distribution, Event-Driven Ansible for triggering workflows from external events, and Ansible Lightspeed for AI-assisted playbook authoring.

AAP covers hybrid cloud and edge scenarios. It provisions infrastructure, applies configuration changes, and monitors live assets for compliance drift, all from human-readable YAML playbooks rather than a domain-specific language.

Context worth knowing: Ansible has been a Red Hat product since 2015 and an IBM property since the Red Hat acquisition in 2019. IBM’s 2025 acquisition of HashiCorp put Terraform and Ansible under the same corporate roof for the first time. The two are still sold separately and the roadmaps remain distinct, but watch for packaging changes as IBM consolidates its automation portfolio.

Best fit: Teams running mixed estates (cloud, on-premises, network gear) that want one agentless tool to handle configuration and orchestration, and want the commercial support layer rather than building on Ansible Core directly.

OpenStack is an open-source platform for cloud operations. You use it to deploy and manage fleets of infrastructure components, including bare metal hardware, virtual machines, containers, and third-party services like Kubernetes. 

It emphasizes the Infrastructure-as-a-Service model. It pools compute, storage, and networking and exposes them as on-demand resources to the workloads running on top.

OpenStack runs on commodity hardware. Once installed, it acts as a cloud operating system over your pooled resources. The ecosystem is large, the learning curve is real, and the payoff is a complete cloud you operate yourself, from hardware to APIs. The latest release, 2026.1 Gazpacho, landed on April 1, 2026; the project continues to ship two coordinated releases a year.

Context worth knowing: OpenStack adoption has surged since Broadcom’s 2023 acquisition of VMware, with enterprises actively building OpenStack as the alternative private cloud platform. Telcos, research institutions, sovereign cloud projects, and post-VMware enterprises now make up the bulk of the user base. 

The most recent release, 2026.1 Gazpacho (April 2026), drew contributions from around 500 contributors across 100 organizations including Ericsson, Rackspace, Red Hat, Walmart, BBC R&D, Samsung SDS, SAP, and NVIDIA, with almost 9,000 changes landed.

Best fit: Oganizations building their own cloud rather than consuming someone else’s, especially those leaving VMware. Overkill if your goal is to orchestrate AWS, Azure, and GCP from a single console.

OpenStack adoption signals:

• More than 55 million cores running in production across the OpenStack community as of 2025, per OpenInfra Foundation user survey data

Disclosure: Spacelift is the publisher of this article. We have included ourselves so you can compare, but treat this entry as a vendor perspective, not an independent ranking.

Spacelift sits one layer above most of the tools in this list. Rather than orchestrate cloud APIs directly, it orchestrates the IaC and configuration tools you use to talk to those APIs: OpenTofu, Terraform, CloudFormation, Pulumi, Ansible, Terragrunt, and Kubernetes manifests, all inside one workflow with policy-as-code, drift detection, and self-service stacks for developers.

Policies, written in OPA, run on every plan and apply. Drift detection runs continuously, not just when someone notices. Self-service stacks let developers ship infrastructure changes from pull requests rather than tickets. Spacelift Intent layers natural-language provisioning on top for cases where a developer should not have to write HCL at all.

Best fit: Platform teams that have already chosen an IaC tool (or several) and need a control plane to run those tools across environments, enforce guardrails through policy-as-code, and let developers ship infrastructure changes from pull requests. 

The mismatch: Teams looking for a hybrid-cloud management UI in the CloudBolt or Morpheus mold. That is a different category, and Spacelift does not pretend otherwise.

Spacelift ratings and reviews:

• G2: 4.9/5 (11 reviews)

Cloud orchestration is a superset of the tools and processes involved in cloud automation. Whereas cloud automation takes a comparatively narrow view, providing mechanisms that implement specific repetitive tasks, orchestration expands the concept to facilitate the cohesive execution of multiple connected tasks.

To learn more, see our list of 20+ best cloud automation tools.

Take the Kubernetes cluster example. Creating the control plane, adding Nodes, and provisioning storage are each candidates for automation. But spinning up a working cluster means running all three in the right order, with the right inputs. Orchestration is what makes that happen as a single workflow rather than three separate scripts. 

Orchestration also centralizes authentication and access. Register users once in your orchestrator, then grant access to the clouds they need, instead of issuing credentials cloud by cloud. And because the orchestrator pulls state from every platform, you get one view of every cloud you run.

Cloud orchestrators are platforms which facilitate efficient interactions with cloud infrastructure. They achieve this by combining elements of automation and visibility.

Effective cloud orchestrators allow you to provision new cloud resources, quickly rollout deployments, and monitor usage and costs. They unify your environments across public cloud providers, hybrid platforms, and on-premises infrastructure.

If the tools above orchestrate the cloud, Spacelift orchestrates the tools that orchestrate the cloud. We run your Terraform, OpenTofu, CloudFormation, Pulumi, Ansible, and Kubernetes manifests inside one platform with policy as code, drift detection, and self-service stacks for developers. You can start a free trial or book a demo.