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It used to be that working on monolithic applications was a tedious process, vulnerable to catastrophic crashes that made an entire application inoperable for an extended period of time.
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,...
Big Data and Artificial Intelligence (AI) can help companies unlock entire new ways to analyze and put to work massive amounts of data.
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...