Redapt | Infrastructure
- Business Transformation
- Cloud Engineering
- Cloud Native
- Artificial Intelligence (AI)
- Modern Datacenter
- Emerging Tech
- IoT and Edge
- Advanced Analytics
- Google Cloud
- Hybrid Cloud Implementation
- Google Anthos
- Systems Integration
- Application Development
- Application Modernization
- Machine Learning
There’s a lot of potential in Machine Learning (ML). Unfortunately, there are also a number of obstacles companies hit when it comes to realizing that potential.
It’s no secret there are substantial costs in running your own datacenter—both monetarily and for the environment.
There are good reasons for a company to repatriate application workloads from public cloud to on-premises or co-location datacenters. Often, exploring cost savings is a driving factor. Most often,...
When it comes to our recommendations for rack integration and services, we’re rather agnostic because we want to recommend technology that works best for your goals since much of it depends on what...
Datacenters are not exactly friends of the environment.
One of the major fears we’ve heard from customers looking to take the plunge into deploying cloud-native solutions on-premises is whether doing so will double their operations costs.
In recent years, there’s been a growing trend for organizations that were born in the cloud to build their own on-premises infrastructure.
This might seem counterintuitive, given the relative ease...
Building out your datacenter is about more than simply doing rack and stack. Without having a firm grasp of your needs, you risk blindly throwing money at the project and the very real potential...
Last April, Dell EMC caused a stir by announcing a new service aimed at making the buying, installing, and usage of new servers on-premises as similar as possible to spinning up VM’s in the cloud....
There are many reasons why a company would want to have its own on-premises infrastructure. If your organization is considering doing so, there are two questions you should ask first.