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Saved by uncleflo on July 24th, 2019.
You can create an Amazon Aurora MySQL DB cluster as a Read Replica in a different AWS Region than the source DB cluster. Taking this approach can improve your disaster recovery capabilities, let you scale read operations into an AWS Region that is closer to your users, and make it easier to migrate from one AWS Region to another. For each source DB cluster, you can have up to five cross-region DB clusters that are Read Replicas. When you create an Aurora MySQL DB cluster Read Replica in another AWS Region, you should be aware of some pitfalls.
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Saved by uncleflo on July 11th, 2019.
It’s a few weeks after AWS re:Invent 2018 and my head is still spinning from all of the information released at this year’s conference. This year I was able to enjoy a few sessions focused on Aurora deep dives. In fact, I walked away from the conference realizing that my own understanding of High Availability (HA), Disaster Recovery (DR), and Durability in Aurora had been off for quite a while. Consequently, I decided to put this blog out there, both to collect the ideas in one place for myself, and to share them in general. Unlike some of our previous blogs, I’m not focused on analyzing Aurora performance or examining the architecture behind Aurora. Instead, I want to focus on how HA, DR, and Durability are defined and implemented within the Aurora ecosystem. We’ll get just deep enough into the weeds to be able to examine these capabilities alone.
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Saved by uncleflo on June 23rd, 2019.
Following, you can find a description of Amazon Aurora Global Database. Each Aurora global database spans multiple AWS Regions, enabling low latency global reads and disaster recovery from region-wide outages. An Aurora global database consists of one primary AWS Region where your data is mastered, and one read-only, secondary AWS Region. Aurora replicates data to the secondary AWS Region with typical latency of under a second. You issue write operations directly to the primary DB instance in the primary AWS Region. An Aurora global database uses dedicated infrastructure to replicate your data, leaving database resources available entirely to serve application workloads. Applications with a worldwide footprint can use reader instances in the secondary AWS Region for low latency reads. In the unlikely event your database becomes degraded or isolated in an AWS region, you can promote the secondary AWS Region to take full read-write workloads in under a minute.
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Saved by uncleflo on June 23rd, 2019.
A lot of RDS's documentation about read replicas contains a magical step along the lines of "direct database traffic to the new master." For instance, their instructions on implementing failure recovery say: This talk about directing traffic glosses over what is actually a complicated step, though. If I were using EC2 instances to host my database, I could give them elastic IPs, use the public DNS address of the instance to address it (which resolves to its private IP from inside AWS), and then instantly swap my entire stack to the read replica by reassigning the elastic IP (and thus simultaneously reassigning the public DNS). I used this method happily back in the days when RDS was considered straightforwardly inferior to rolling your own database instance on EC2 by many DBAs. RDS instances still cannot have elastic IPs, though, so I cannot use this particular trick to magically redirect all my database traffic to a new instance when using RDS.
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