Provides infrastructure layer compute capabilities, including both bare metal and virtual servers with various optimizations includins compute, memory, IO, and disk. Also supports accelerations options such as GPUs, FPGAs, Inferentia and Trainium.
Provides image recognition capability for images (in batch or real-time) and video that provides a analysis of the content such as real-world objects, faces, celebrities, and path mapping.
Provides a publish/subscribe notification service with multiple subscription types including Amazon Simple Queue Service (SQS), Amazon Kinesis Data Firehose, AWS Lambda, generic HTTPS endpoints, SMS and email.
A serverless, fully-managed, message queue service that supports producing, store, and consuming messages and enables loose coupling between applications.
Provides private networking capability spanning multiple availability zones and supporting subnets, routing, network access control groups, security groups and gateways.
Provides tracing of service invocations in distributed applications for observability, allowing users to diagnose issues or optimize their service interactions.
All about Cloud, mostly about Amazon Web Services (AWS)
Amazon Aurora Priority Based Failover Control
2016-07-17 / 184 words / 1 minutes
The AWS Official Blog usually includes several new announcements every week, and this week was no exception. On 16 Mar 2016 it announced a new feature for the Amazon Aurora for Amazon RDS service, called Amazon Aurora Priority Based Failover to further enhance the AWS database offering.
Commentary on Amazon Aurora Priority Based Failover Control
During AWS Re:Invent 2015 there was an emphasis on enterprise relational database management in AWS. For example:
The AWS Database Migration Service was announced.
Aurora was positioned as a competitor to Oracle in the AWS Relational Database Service (RDS) environment.
Amazon Relational Database Service (RDS)
Today’s blog further emphasizes Amazon’s commitment to providing an enterprise class relational database management system. Amazon announced that Aurora adds new capabilities. Priority based failover control has been added to Amazon Aurora which further improves its position as an alternative to Oracle.
Basically, each read-replica can be assigned a priority tier, and the lowest priority tier becomes the master in the event that the master fails.
What isn’t quite so clear is how this prioritization would work in conjunction with AutoScaling groups, for example.
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