Containers and the rise of Kubernetes is the most talked-about, most impactful IT technology today. Containers give enterprises the ability to do amazing things, like build applications faster, move workloads between platforms, and optimize their environments.
Used correctly, containers open the agility doors of the organization and enable teams to build solutions faster than ever before. But, as anybody who’s implemented a new technology knows, pathways aren’t always smooth.…
If there is one realization enterprises around the world reached last year, it is the fact that digital transformation can’t wait. In responding to the COVID-19 crisis, companies faced starkly different realities based on how much—or how little—they had advanced their digital transformation journeys. Some were caught without any scalable remote working technologies, while for others, even if disruptive, the move to a working-from-home model was relatively straightforward.…
In the past, companies accessed trapped data via remote clients. Unfortunately, this approach had several issues:
Today, these companies face a dilemma: “What do we do if our solution has gone End-of-Service-Life (EOSL)?
I recently joined Stephen Foskett from Gestalt IT on a video podcast to discuss “Improving AI with Transfer Learning”. This podcast is part of a series of podcasts on “Utilizing AI”. The series focuses on Artificial Intelligence (AI) and Machine Learning (ML) practical applications in the modern enterprise data center and cloud infrastructure.
The full description and the link to the podcast can be found here.…