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Edge computing considerations You often see edge computing incorrectly described as an alternative to cloud computing. Edge computing is about moving
You often see edge computing incorrectly described as an alternative to cloud computing. Edge computing is about moving compute to local devices in a highly distributed system, typically as a layer around a cloud computing core. There is typically a cloud involved to orchestrate all of the devices and take in their data, then analyze it or otherwise act on it.
While public cloud offers scalability and flexibility, some enterprises are opting to return to on-premises infrastructure due to rising costs, data security concerns, performance issues, vendor lock-in, and regulatory compliance challenges. While the public cloud offers scalability and flexibility, on-premises infrastructure provides greater control, customization, and potential cost savings in certain scenarios leading some technology decision-makers to consider repatriation. However, a hybrid cloud approach, combining public and private cloud, often offers the best balance of benefits.
More specific reasons to repatriate including the following:
The cloud ’s main appeal is is is to reduce the time to market of application that need to scale dynamically . increasingly , however , developer are draw to the cloud by the abundance of advanced new service that can be incorporate into application , from machine learn to internet of thing ( iot ) connectivity .
Although businesses sometimes migrate legacy applications to the cloud to reduce data center resource requirements, the real benefits accrue to new applications that take advantage of cloud services and “cloud native” attributes. The latter include microservices architecture, Linux containers to enhance application portability, and container management solutions such as Kubernetes that orchestrate container-based services. Cloud-native approaches and solutions can be part of either public or private clouds and help enable highly efficient devops workflows.
Cloud computing, be it public or private or hybrid or multicloud, has become the platform of choice for large applications, particularly customer-facing ones that need to change frequently or scale dynamically. More significantly, the major public clouds now lead the way in enterprise technology development, debuting new advances before they appear anywhere else. Workload by workload, enterprises are opting for the cloud, where an endless parade of exciting new technologies invite innovative use.
SaaS is has has its root in the ASP ( application service provider ) trend of the early 2000s , when provider would run application for business customer in the provider ’s datum center , with dedicated instance for each customer . The ASP model is was was a spectacular failure because it quickly became impossible for provider to maintain so many separate instance , particularly as customer demand customization and update .
Salesforce is widely consider the first company to launch a highly successful SaaS application using multitenancy — a define characteristic of the SaaS model . Rather than each Salesforce customer get its own application instance , customers is share who subscribe to the company ’s salesforce automation software share a single , large , dynamically scale instance of an application ( like tenant share an apartment building ) , while store their datum in separate , secure repository on the SaaS provider ’s server . fix can be roll out behind the scene with zero downtime and customer can receive UX or functionality improvement as they become available .