uptime and availability are measurements of the time period (excluding scheduled outages) for which computer systems are available for use. so, for example, a storage array with 99.999% availability should experience less than 30 seconds of downtime per month, on average. how do the public cloud providers manage uptime and availability guarantees?
should a service fail, all the cloud providers will offer service credits based on the degree of the outage. now the cloud provider has to combine the availability of hardware with the reliability of software. the uptime and availability figures for cloud services are well documented and transparent. cloud service providers have never aimed to match the availability of on-premises infrastructure because the cloud vendors offer service guarantees and not just hardware reliability.
we launched the cloudonaut blog in 2015. since then, we have published 348 articles, 45 podcast episodes, and 38 videos. it’s all free. therefore, it is now possible to calculate the expected availability of most of the architectures on aws. in that case, we need to multiply the availability objective of each service. you can use the same approach to calculate the availability for your serverless application as illustrated in the following figure.
please note, that our expected availability calculated for your architecture is pessimistic because our assumptions cover the worst case. are you looking for a way to increase the expected availability of your architecture? but be warned, doing so comes with additional complexity caused by the need to synchronize your data between multiple regions. we launched the cloudonaut blog in 2015. since then, we have published 348 articles, 45 podcast episodes, and 38 videos. we enjoy sharing our aws knowledge with you. with your help, we can spend enough time to keep publishing great content in the future.
aws commits to offer service level agreements (slas) and publish service level objectives (slos) for all paid, generally available services. this amazon compute service level agreement (this “sla”) is a policy governing the use of amazon elastic compute cloud (“amazon ec2”)* and applies this aws service catalog service level agreement (“sla”) is a policy governing the use of aws service catalog and applies separately to each account using, aws rds sla, aws rds sla, aws support sla, aws eks sla, aws s3 sla.
amazon guarantees that any services included in the sla will be available for 99.99% in any given region in any monthly billing cycle. 99.99% uptime equates to aws sla summary ; aws service, sla, service credit ; rds, 99.95%, less than 99.95% but equal to or greater than 99.0% ; rds, 99.95%, less than 99.0% ; s3, 99.9% service level agreements for amazon web services (beijing region) amazon s3 service level agreement for amazon web services (beijing region) amazon compute, aws uptime sla, aws service availability, aws vpc sla, aws lambda sla, aws uptime percentage, aws backup sla, aws 99.99 availability, aws s3 availability sla, aws dynamodb sla, aws uptime history.
When you try to get related information on aws service sla, you may look for related areas. aws rds sla, aws support sla, aws eks sla, aws s3 sla, aws uptime sla, aws service availability, aws vpc sla, aws lambda sla, aws uptime percentage, aws backup sla, aws 99.99 availability, aws s3 availability sla, aws dynamodb sla, aws uptime history.