CIO
SEPTEMBER 11, 2024
When Uber decided in 2022 to shift away from running its own data centers, the ridesharing and delivery company wanted a high level of control for how its workloads ran in the cloud, down to the CPU level. At the same time, the growth of Uber’s fleet required the company to expand into more data centers and availability zones.
TechCrunch
APRIL 12, 2023
What we have done differently is, since our focus has been marrying application data down to infrastructure, now we can tie your application to sustainability and your carbon footprint, and that’s kind of unique about what we are releasing,” Jalan said. The company launched in 2010 and has raised more than $38 million, per Crunchbase.
CIO
JANUARY 25, 2023
Originally known as Integrated Global Solutions Technologies, AVM Cloud has a long relationship with VMware going back to 2010. Notably, AVM Cloud also offers a number of custom cloud solutions. This includes an ever-growing portfolio of cloud-native applications based on VMware Tanzu.
CIO
AUGUST 29, 2023
Since 2010, TeraSky has provided end-to-end solutions to enable customers to handle data center modernization and hybrid and multi-cloud implementation. To do this, Cellebrite needed a “single pane of glass” from which they could see everything, no matter if an application ran in the data center or in the cloud.
CIO
JUNE 12, 2024
Centered on Microsoft Azure for its cloud needs, UK Power Networks will retain on-prem systems in two data centers to store highly secure, sensitive data and services that are vulnerable to cyberattacks, says CIO Matt Webb, who has been with the power company for 15 years.
CIO
DECEMBER 13, 2022
Cassandra’s early days In the mid-2000s, engineers at young, fast-growing Facebook had a problem: how could they store and access the mushrooming data created by Messenger, the platform that enabled users of the social networking site to communicate with one another? By 2013, most of Netflix’s data was housed in Cassandra.
CIO
AUGUST 14, 2024
“Generative AI and the specific workloads needed for inference introduce more complexity to their supply chain and how they load balance compute and inference workloads across data center regions and different geographies,” says distinguished VP analyst at Gartner Jason Wong.
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