Availability is measured as a percentage of uptime, and defines the proportion of time that a system is functional and working. Availability is affected by system errors, infrastructure problems, malicious attacks, and system load. Cloud applications typically provide users with a service level agreement (SLA), which means that applications must be designed and implemented to maximize availability.
|Deployment Stamps||Deploy multiple independent copies of application components, including data stores.|
|Geodes||Deploy backend services into a set of geographical nodes, each of which can service any client request in any region.|
|Health Endpoint Monitoring||Implement functional checks in an application that external tools can access through exposed endpoints at regular intervals.|
|Queue-Based Load Leveling||Use a queue that acts as a buffer between a task and a service that it invokes, to smooth intermittent heavy loads.|
|Throttling||Control the consumption of resources by an instance of an application, an individual tenant, or an entire service.|
To mitigate against availability risks from malicious Distributed Denial of Service (DDoS) attacks, implement the native Azure DDoS protection standard service or a 3rd party capability.