Cloudify
Cloud platform as a service (PaaS) software
Cloud infrastructure automation software
DevOps software
CI/CD tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Cloudify and its alternatives fit your requirements.
Contact the product provider
Free TrialFree version
Small
Medium
Large
- Transportation and logistics
- Retail and wholesale
- Information technology and software
What is Cloudify
Cloudify is an orchestration and automation platform used to model, deploy, and manage cloud infrastructure and application stacks across private and public clouds. It targets platform engineering, DevOps, and operations teams that need repeatable provisioning, day-2 operations, and lifecycle management for complex environments. The product centers on blueprint-driven automation (based on TOSCA concepts), workflow execution, and integrations with common infrastructure and configuration tools. It is typically used for multi-cloud automation, environment provisioning, and operational runbooks rather than as an application hosting runtime.
Blueprint-driven orchestration
Cloudify uses declarative blueprints to define infrastructure, application components, relationships, and lifecycle operations. This approach supports repeatable deployments and consistent environment creation across teams. It is well-suited to multi-tier stacks where dependencies and ordering matter. The model can be reused and versioned to standardize deployments.
Multi-cloud and hybrid support
Cloudify is designed to orchestrate resources across multiple clouds and on-premises environments through plugins and integrations. This helps organizations manage heterogeneous estates without tying automation to a single provider’s native tooling. It can coordinate provisioning and operational workflows across different targets from a central control plane. This is relevant for teams standardizing automation across business units or regions.
Day-2 operations workflows
Beyond initial provisioning, Cloudify supports operational workflows such as scaling, healing, upgrades, and teardown as part of the same lifecycle model. This can reduce the need to maintain separate scripts for post-deployment tasks. The workflow engine enables controlled execution and visibility into run status. It is useful for runbook-style automation and repeatable operational procedures.
Steeper learning curve
Teams typically need to learn Cloudify’s blueprint concepts, DSL conventions, and plugin model to implement automation effectively. This can slow initial adoption compared with simpler, provider-native deployment options. Building and maintaining blueprints for complex stacks requires disciplined engineering practices. Organizations may need enablement and governance to keep models consistent.
Not a full PaaS runtime
Cloudify focuses on orchestration and lifecycle automation rather than providing an application runtime with built-in developer experience for hosting code. Teams looking for managed application hosting, serverless execution, or front-end deployment workflows may still require separate services. CI/CD capabilities are typically implemented through integrations with external pipelines rather than being the primary product focus. This can increase the number of tools in the delivery chain.
Integration effort varies
While Cloudify supports many integrations, coverage and maturity can vary by target platform and use case. Some environments require custom plugin development or additional scripting to reach desired automation depth. Maintaining integrations over time can add operational overhead as underlying APIs and platforms change. This is a consideration for organizations with rapidly evolving infrastructure stacks.
Seller details
Cloudify Platform Ltd.
Ramat Gan, Israel
2012
Private
https://cloudify.co/
https://x.com/cloudify_co
https://www.linkedin.com/company/cloudify/
