Cloud Computing – Hyperscaler
What is a Hyperscaler?
In short –> Scalable cloud computing systems in a datacenter like Amazon (AWS), Microsoft (Azure) and Google (GCP)
One of the first hyperscaler was Amazon with Amazon Web Services (AWS) founded in the year 2006. Then in 2010 Microsoft came with its cloud platform Azure and also Google started in 2010 with its Google Cloud Platform (GCP).
In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system.
This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google, Facebook, Twitter, Amazon, Microsoft, HUAWEI CLOUD, IBM Cloud or Oracle. Companies like Ericsson, AMD, and Intel provide hyperscale infrastructure kits for IT service providers. Companies like Scaleway, Switch, Alibaba, HUAWEI, IBM, QTS, Digital Realty Trust, Equinix, Oracle, Facebook, Amazon Web Services, SAP, Microsoft and Google build data centers for hyperscale computing. Such companies are sometimes called hyperscalers.
Scaling by adding more server and splitting the workloads between them. In case of cloud services horizontal scaling means increase the amount of instances instead moving to another more powerful instance (in Azure called plan).
Scaling by adding more power like CPU, RAM and storage to an existing server. In case of cloud services moving to another more powerful instance.
Hyperscale computing – load balancing for large quantities of data