Hybrid, multi-cloud, hyperscale, and on-premise infrastructure can be tough to orchestrate and administrate. Green House Data has the dedicated support and technical staff to help you manage complex IT environments.Explore Services
Learn the basics you need to know to get started with Azure cloud including virtual machine creation, introduction to Azure concepts, and more. This pre-recorded webcast is from Microsoft MVP and Green House Data Principal Consultant Aman Sharma.
Green House Data has passed a rigorous independent audit to certify our staff capabilities and corporate processes around Microsoft Azure technologies. Trust your hyperscale cloud project to an MSP who can pivot and scale based on your desired business outcomes, regardless of the workload, application, or offer at hand.
Green House Data’s SpotLITE Discovery Process showed us how we could right-size our data center needs and cut out 30% of the cost by eliminating redundancies. What we thought we needed wasn’t the case and Green House Data gained our trust when they pointed this out instead of turning a blind eye and letting us over build and over spend.Bosselman Enterprises
Avid has a lot of specific requirements around individual apps. Green House Data learned the “snowflakes” that make the business work and delivered the deployment on time and on budget.Avid
They are very knowledgeable and anticipate our needs in a way I didn’t think was possible from a vendor.Mountain West Farm Bureau Insurance
Every time I talk to one of our cloud team members at Green House Data, I feel like I learn something new about Azure.Nymbl
Migrating e-mail and productivity apps to the cloud is a no brainer. Continuous updates, access from anywhere, no need to manage the supporting servers and associated hardware…the benefits are clear. As with any IT outsourcing, however, careful planning around security measures is essential. And with your O365 environment exposed to the public internet, security best practices are even more important.
While securing Office 365 is an ongoing effort, there are several top priorities that should be first to be addressed after your migration.
With some organizations looking to move cloud workloads back on-premises to mitigate costs and regain control over their hardware and audit trails, you might be questioning cloud-first and cloud-only initiatives for infrastructure procurement.
After all, for years marketing pushed lower overall costs after migrating to the cloud. So what gives? Why are many cloud workloads ending up more expensive than their on-prem counterparts?
You've probably heard the old joke before that the cloud is “just someone else's data center.” That may have been true a decade ago, but no longer.
Forcing a cloud migration is not the key to savings. You must understand the business value, catalog and think deeply about the existing and desired state of your infrastructure, rearchitect your workloads, and adjust your workflow to this new paradigm. Here are the five key areas you need to plan things out.
As you continue to adopt cloud technologies and pursue digital transformation, you’ll overhaul databases, migrate data to the cloud, and continue to connect more and more information gathering tools to your digital environment.
With unstructured data pooling rapidly in cloud object storage and structured data overwhelming your databases, you’ll wisely implement data management protocols that include long term archiving, encryption and security measures for sensitive data, and strategic use of various cloud and on premises storage methods to minimize costs.
But are you taking advantage of that data beyond how it used in the applications that gather and handle it? There are business insights to be gleaned and platforms like Power BI can help you make sense of it. If you don’t have time to learn a new platform or budget to hire a full time data analytics staff, you can instead find an Insights as a Service provider to help.