Featured blog post 3 Revenue Opportunities Machine Learning Has Unlocked For Enterprises In 2020

In 1986, Tom M. Mitchell published this definition in his ground-breaking book Machine Learning:

When a company reaches a certain scale, keeping hundreds and even thousands of containers and their microservices seamlessly talking to one another can be a very big lift.

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...

Convincing management to take on the effort and expense of modernizing an organization’s applications portfolio can be a tough sell. As an article from Gartner titled “How to Build a Business Case...

As part of our commitment to providing technical clarity for our clients, we monitor and research trends in cloud technology to identify the ones you should care about moving forward.

When a large SaaS provider wanted help handling the logistics and labor associated with deploying enterprise infrastructure at scale in geographically dispersed locations, they partnered with Redapt...

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...