Abstract
This is a survey article that explores six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability, low end-user latency, and acceptable costs. These are (1) Zonal, (2) Regional, (3) Multi-regional, (4) Global, (5) Hybrid, and (6) Multi-cloud deployment archetypes. The goal is to classify cloud applications into a set of deployment archetypes and deployment models that tradeoff their needs around availability, latency, and geographical constraints with a focus on serving applications. This enables application owners to better examine the tradeoffs of each deployment model and what is needed for achieving the availability and latency goals for their application.
Highlights
The approaches described in our article are standard ones existing in the cloud computing industry [41], and we have focused on which ones to use for the various archetype models described
Fog and mobile deployments minimize user-perceived latency, they come with limited capacity, storage, and available energy as discussed in Reference [126]. These limitations create new deployment archetypes where computations are offloaded from mobile to edge cloud, where a cloud application stack goes all the way from cloud to edge to the mobile devices
We examined several deployment archetypes for Cloud applications
Summary
In looking at how applications have changed over the past 20 years, we have evolved from a world where planned maintenance downtime was standard and business applications were typically available only 99% of the year [117] to today where applications are expected to be up and running 24/7. Even applications built around deployment options that were only available 20+ years ago need to be supported in this 24/7 available and low-latency world. Calder existing boundaries or go for partial or complete rewrites to achieve higher availability, better end-user latency, and increased operational efficiency and agility. We explore six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability and low end-user latency. These are (1) Zonal, (2) Regional, (3) Multi-regional, (4) Global, (5) Hybrid, and (6) Multi-cloud deployment archetypes. We look at multiple categories of application deployments from Enterprise to Cloud-native applications, their impact on availability and latency, and how they can leverage these six deployment archetypes
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