Virtana announced a unified platform for migrating, optimizing, and managing application workloads across public, private, hybrid, and multi-cloud environments.
Using artificial intelligence for IT operations (AIOps) technologies, including machine learning and advanced data analytics, the cloud agnostic Virtana Platform solves the most difficult challenges facing enterprises as they seek to leverage public clouds. The platform enables a "know before you go" approach by providing observability into which workloads to migrate. It also ensures that unexpected costs and performance degradation are avoided once workloads are operating in the cloud.
With the Virtana Platform, enterprises can make data-driven migration decisions to get it right the first and every time workloads are migrated. The unified platform also simplifies optimization and management of workloads regardless of their location in an increasingly complex IT infrastructure.
"Enterprises recognize the value of public clouds," said Kash Shaikh, President & CEO of Virtana. "Many are already moving workloads to one or more public clouds. COVID-19 has accelerated their interest. But we are still in the early innings of public cloud adoption. Many tell us they moved some of the workloads back. When we ask why, enterprises say they do not know where to start, lack tools and visibility that can help them plan and execute migrations, and find managing workloads across hybrid environments complex."
"With the Virtana Platform, we are doing the hard work of simplifying cloud migration and hybrid cloud management," added Shaikh. "The Virtana Platform provides intelligent observability with data insights to empower enterprises to know before they go."
With the new Virtana Platform, enterprises gain the benefits of a single, unified, flexible platform:
- Intelligent. Leveraging machine learning and advanced data analytics, the Virtana Platform provides enterprises with intelligent observability of application workloads before they are moved to the cloud. Insights about workloads include application dependencies, how they will perform in various cloud environments, and their underlying IT infrastructure requirements. This embedded intelligence enables enterprises to make data-driven decisions about which workloads to move and where to place them to meet performance and cost requirements. Once workloads are moved, the platform enables ongoing optimization and management by providing real-time visibility and tools for taking action.
- Unified. The Virtana Platform is cloud agnostic, extending the company's ability to unify workload migration, optimization, and management across all the leading public cloud providers. These include AWS, Azure, Google Cloud Platform, Oracle, and VMware on AWS. This cloud agnostic approach gives enterprises the freedom to choose cloud providers based on the performance and cost requirements of their workloads. It also ensures that enterprises can leverage their investment in Virtana across future public, private, hybrid, and multi-cloud environments.
- Flexible. Specific capabilities of the Virtana Platform are delivered in modules, making it easy to cost-effectively add more functionality to the platform as needed. As new modules are delivered, the Virtana Platform provides a consistent experience and seamless integration of capabilities. Over time, all existing Virtana standalone products, including VirtualWisdom, CloudWisdom, WorkloadWisdom, and Cloud Migration Readiness will be incorporated into the platform. Multiple deployment options will include SaaS, managed service, and on-premises. These options let enterprises choose how and where to deploy modules based on their performance, cost, and security requirements.
Virtana platform modules for delivery in 2021 include Migrate, Optimize, Manage, and Validate, starting with Migrate. The Migrate module accelerates and de-risks the migration of existing application workloads to public clouds.
With Migrate, enterprises can:
- Know before they go. Application discovery and mapping capabilities enable enterprises to capture existing application infrastructure sets along with key performance and operational metrics. This enables enterprises to fully understand their application workloads before migrating them to public clouds.
- Prioritize intelligently. The platform uses machine learning and advanced data analytics to ensure consistent performance, reduce risk and cost, and accelerate migration efforts. This intelligence enables identification of groups of workloads that have similar resource requirements or deep interdependencies and should be or need to be migrated together.
- Select and configure for efficiency. Rightsizing and cloud cost optimization capabilities enable enterprises to select public cloud providers that are right for their needs. They also ensure the most efficient configurations based on risk tolerance, performance requirements, and resource consumption.
- Operationalize optimization. Process tracking and reporting lets enterprises maintain full visibility as part of their standard IT operational activities. This enables continual optimization as additional transitions between public cloud providers, zones, and physical locations are required.
"The growing complexity of hybrid and multi-cloud environments is hindering digital transformations," said Shaikh. "With Virtana, enterprises can be assured that expert guidance and the Virtana Platform will be with them every step of the way."
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