Easy to manage
Remove complexity and improve speed with the API-driven architecture of the Cohesity Data Cloud.
Cohesity and Veritas have joined forces!
See why this is a game changer for the data security space.
See why this is a game changer for the data security space.
Moving workloads to the cloud or automating backups are tasks that are manual, multistep, error-prone, and unreliable. Get simplicity and extensibility with API architecture and Cohesity Runbook to enable infrastructure as code and automate data management.
Remove complexity and improve speed with the API-driven architecture of the Cohesity Data Cloud.
Spend less time managing and more time with value-oriented projects thanks to error-free consistency.
Derive more value from your own tools. We adhere to OpenAPI specifications, with integration built on Cohesity’s REST API.
Runbook automates data management and provides orchestration so you can move and recover workloads anywhere by deploying infrastructure as code. Move workloads to the cloud or automate disaster recovery.
Learn how easy it is to design, validate, and execute your automation workflows for workload mobility with Cohesity Runbook.
Simplify VM protection with policy-based automation. Cohesity DataProtect and VMware vRealize use blueprints and service catalogs, perform backup as a service, manage complete VM lifecycles, and more.
Protect VMs with policy-based automation using ServiceNow for the centralized management of service requests, tickets, and approvals.
As we started upgrading and virtualizing more of our systems, it became very clear that we needed a more powerful solution to accommodate our increasing demands for data backup and recovery.”
There were many different levers to scale what we had—adding resources, VMs, capacity—but it was all overly complicated and someone would have to constantly tweak it. If we weren’t going to grow, our current solution would work for backups, but not restores. We knew there were better, more modern solutions on the market for consolidating, simplifying, and scaling data management.”
Data automation uses technology to automate data-related tasks, saving time and improving accuracy.
There are many benefits to automating data management. It can streamline processes, reduce manual labor, improve accuracy, and increase efficiency in handling large volumes of data.
Data automation is important because it can save time and resources while ensuring data consistency and reliability, reducing errors, and improving efficiency in handling data. This can all lead to better decision-making.
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