Implement true hybrid cloud with Azure Stack extended from the Microsoft Azure cloud to your premise or Green House Data.
Whether you're running Hyper-V locally or are already set up in Azure Cloud, the Azure Stack is a great method to extend your workloads between on-premise data centers, Green House Data, and public cloud.
Compliance standards, security-sensitive workloads, high performance requirements, and edge deployments are all use cases for configuring Azure Stack outside of public Azure cloud hosting.
Green House Data has the cloud service expertise to architect, deploy, and manage your Azure Stack infrastructure, backed by 24/7/365 support and guaranteed availability.
Missing your favorite Azure features when you virtualize on-premise or colocated infrastructure? Now you can run Azure Stack on your own hardware, bringing complete Platform as a Service options, auto-scaling, distributed microservices, and container management from the Azure Cloud to your local data center.
Green House Data can help you architect and manage this hybrid environment, designing security perimeters for sensitive workloads, bursting to the public cloud when necessary, or designing highly available edge infrastructure.
Develop and deploy with Azure-native PaaS, databases, and microservices
Place sensitive workloads in local data centers to meet security protocol
Locate infrastructure in edge facilities to get closer to users and reduce latency
Maintain DevOps practices regardless of where your team is working
The public cloud might not make sense for every workload. In addition to architecting hybrid infrastructure across the gBlock Cloud, colocated infrastructure, and managed hyperscale public cloud, Green House Data can help you run Azure Stack for any of the below use cases.
Your DevOps team can use the same tools they're familiar with in Azure while working on-premise. You'll increase productivity as they build, test, and deploy with the same APIs, Jenkins and Visual Studio services, and automation features as they'll use in the public cloud environment.
Take advantage of Azure availability zones, Green House Data locations, or your own micro data centers to deploy Azure stack closer to your end users, cutting down on latency issues and increasing performance. You can also help save on data storage costs or bandwidth by strategically processing some workloads within your data center and others in the public cloud.
You may have specific workloads or data that are subject to strict compliance or regulatory requirements. You can place these within your data center or a Green House Data facility with customized standards to meet those requirements. Use the same tools and code you already have while segregating based on security and compliance needs.
Use the cloud application model on-premise as you modernize and scale legacy applications and infrastructure. Microservices, containers, autoscaling technology, and serverless computing all combine to facilitate a hybrid infrastructure that your team can attack with a single operational model, regardless of where the workload resides.
