Research Shows Cloud Workloads Vary by Platform, but Data Rules

Virtualuization Review | January 17, 2020

TECHnalysis Research's new report on cloud computing finds that workloads vary across platforms -- AWS, Azure, GCP -- but databases are at the forefront. Furthermore, those database workloads are spread across a cloudscape fairly evenly divided among the top enterprise options, public cloud, on-premises legacy and private/hybrid cloud, says the report, which was conducted with the aim of determining cloud platform and workload usage and reasons why they're used.

Spotlight

As they deploy 5G, telecoms operators around the world are experimenting with cloud¬native core networks, which offer greater flexibility, scalability and automation than conventional telecoms networks. This paper explores how telecoms operators could go about implementing a cloud¬native 5G core network. Most early movers are taking one of two approaches to deploy a cloud¬native 5G core:


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Spotlight

As they deploy 5G, telecoms operators around the world are experimenting with cloud¬native core networks, which offer greater flexibility, scalability and automation than conventional telecoms networks. This paper explores how telecoms operators could go about implementing a cloud¬native 5G core network. Most early movers are taking one of two approaches to deploy a cloud¬native 5G core:

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