IT environments are becoming increasingly hybrid across on premises, data centers, multi-clouds, and edge. Because of this, most businesses struggle to capitalize on all their data due to the inherent complexity of where it lives — and how it can be connected and activated.

With data collected and stored in various locations, the complexity comes down to where to place workloads, how to ensure data privacy, and managing cost. You might be dealing with a multitude of factors, including:

  • Security and compliance: The cyber-threat landscape and sensitive data mean that some workloads are better off in on-prem data centers.
  • Data sovereignty: Your industry or type of business may have privacy rules that dictate whether an app can run in the public cloud. These rules may also impact where data can be stored, such as within the country where customers are located.
  • Performance: Mission-critical workloads require availability and low latency to ensure data gets into the right hands at the right time.
  • Cost: Seasonal spikes in demand for processing power can significantly increase your cloud usage costs. Also, egress fees to move data from where it is stored in the cloud, for example, to be processed elsewhere can be costly.
  • Cloud-ready: Some legacy workloads or apps require an enormous effort to refactor or rewrite for the cloud. If you don’t have in-house talent — or the budget — to modernize these workloads or apps, they may be better off remaining in on-prem data centers.

So, how can you best manage your hybrid IT infrastructure to meet business and operational requirements — while also accounting for all these factors?

Start with a hybrid strategy that includes:

  • A centralized platform that simplifies management across hybrid cloud
  • Self-service functionality to make it easier for users to gain access to the resources they need in a controlled, automated way
  • Application programming interfaces, command line interfaces, and infrastructure-as-code features, all of which help developers to programmatically interact with the resources their apps need
  • Scalable compute resources that expand with the needs of the business
  • Subscription or pay-per-use capabilities to eliminate over- or under-provisioning of infrastructure, shorten procurement cycles, and/or align to financial requirements
  • Consumption analytics to provide visibility and control across hybrid cloud

All these features, and more, are available with HPE GreenLake. It’s an intuitive, self-service platform that simplifies operating models and allows organizations to run optimized workloads close to where data lives — across edges, data centers, colocations, and clouds.

The platform is a centralized location that helps you gain visibility across your hybrid estate. This helps you rapidly understand where best to place workloads based on their need for performance, security, data sovereignty, and more. Through AI-driven operations, automation, and observability across multi-gen IT and public clouds, HPE GreenLake removes the burden and undifferentiated work of managing infrastructure.

In addition, the platform provides access to a broad range of services, such as storage, compute, networking, high-performance compute, virtual desktop infrastructure, containers, virtual machines, data protection, unified analytics, business applications, and more — whatever resources you might need to run your business.

HPE’s services and infrastructure resources operate on a subscription basis, meaning you only pay for what is actually used, resulting in cost efficiencies and agility unmatched in traditional IT.

HPE GreenLake provides expertise across the full lifecycle — from workload placement and app migration to security. Ultimately, it enables IT to focus on innovation with a reduced burden of managing a complex infrastructure.

Learn more about how to unify your hybrid IT estate and optimize your workloads.