As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/). - Source: Hacker News / 7 months ago
Aurora is a managed database service from Amazon compatible with MySQL and PostgreSQL. It allows for the use of existing MySQL code, tools, and applications and can offer increased performance for certain workloads compared to MySQL and PostgreSQL. - Source: dev.to / 9 months ago
See my other comment on this thread. More typically you'd use RDS for external DB. Aurora is a megascale version. Source: 11 months ago
If you get to a point where RDS cannot handle your work load you can migrate to Amazon Aurora: Https://aws.amazon.com/rds/aurora/. Source: about 1 year ago
Just like how DB replication and load-balancers exists for ~20 years, SC is making far worse version of them under different name. So this "budget" thingy is just another distraction for cult to discuss, so the followers can claim "they know game development". Source: about 1 year ago
When I say serverless, I am generally referring to the services that developers use to build applications. Examples are AWS Lambda, EventBridge, DynamoDB, and Step Functions. But what makes these serverless compared to services like Amazon Aurora or ECS? - Source: dev.to / over 1 year ago
AlloyDB is a fully managed PostgreSQL compatible database service that Google claims to be twice as fast for transactional workload compared to AWS Aurora PostgreSQL. If you've worked with Google Cloud already, you probably had some contact with CloudSQL for PostgreSQL and Spanner, which offers a PostgreSQL interface. So, what's actually new about this AlloyDB? - Source: dev.to / over 1 year ago
Under the use-cases section for aws aurora (https://aws.amazon.com/rds/aurora/), we have,. Source: over 1 year ago
1. Problem Our customer wants to continuously backup their data from AWS Aurora MySQL to local provider cloud in private connection. So, a IPsec VPN site-to-site connection is required. In AWS side, Virtual Private Gateway (VGW) provides dual-tunnels to Customer Gateway (CW) for high availability. If there is a device failure within AWS, the VPN connection automatically fails over to the second tunnel so that... - Source: dev.to / over 1 year ago
Database records - Perhaps the most obvious source of data gravity, whether it be DynamoDB or Aurora, these records accumulate with interactions in your app. As your consumers use your APIs, the data gravity increases as records are saved. - Source: dev.to / almost 2 years ago
Plan stage: In this stage, we often collect and evaluate requirements, then select appropriate AWS services. It requires basic knowledge and experience on many AWS services across domains from network, computation, storage, management, security to developer tools. If the target is a production environment, PaaS should be preferred over IaaS, such as Aurora over MySQL installed on EC2. However, do not limit... - Source: dev.to / almost 2 years ago
There are relational options like Planetscale, CockroachDB, Alloy DB, and Aurora that can provide the same benefit without having to manage Postgres scaling. Source: almost 2 years ago
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database designed for the cloud. AWS claims that with some workloads Aurora can deliver up to 5x the throughput of MySQL and up to 3x the throughput of PostgreSQL without requiring any application changes. Aurora can do this because its storage subsystem was specifically designed to run on AWS’ fast distributed storage; in other words, Aurora was... - Source: dev.to / almost 2 years ago
Amazon Web Services, including Athena, Aurora, and Redshift. You may perform benchmarks or comparative tests or evaluations (each, a “Benchmark”) of the Services. If you perform or disclose, or direct or permit any third party to perform or disclose, any Benchmark of any of the Services, you (i) will include in any disclosure, and will disclose to us, all information necessary to replicate such Benchmark, and (ii)... - Source: dev.to / almost 2 years ago
After having spent a number of years working with databases in AWS, I cannot emphasize enough how much I recommend Amazon Aurora if you’re running MySQL or PostgreSQL in production. Amazon Aurora takes the concept of a managed database to the next level, and automates replication across multiple availability zones, or regions, distributed storage, and has incredible performance. No longer do you have to worry... - Source: dev.to / almost 2 years ago
Aurora offers faster performance than MySQL and PostgreSQL, due mainly to the SSD optimizations Amazon made to the database engine. As your project grows, you’ll likely find that Aurora offers improved database scalability, easier maintenance, and better reliability compared to the default MySQL and PostgreSQL configurations. But you can make some of these improvements on MySQL and PostgreSQL as well if you tune... - Source: dev.to / about 2 years ago
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system. Source: over 2 years ago
Over time, we should have only dockers and lambda functions in our compute. While doing this, we should also discard the EC2 instances one by one and move onto Fargate. Drop the Kafka or other messaging services and move to Kinesis, EventBridge, SNS or SQS, as per the requirement. Migrate to cloud native databases like Aurora, DocumentDB, DynamoDB, and other purpose built databases like TimeStream, Keyspace,... - Source: dev.to / over 2 years ago
Let's take a database, a common requirement for almost any architecture. There are an array of options depending on your chosen Cloud Provider, to name just a handful. AWS (Amazon Web Services) has Dynamodb, Aurora, RDS (Relational Database Service). Azure has Cosmos DB (which if you haven't heard of definitely check it out, it's a favorite of mine), SQL. Google Cloud has Spanner and Big Table and the list goes... - Source: dev.to / almost 3 years ago
Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS. - Source: dev.to / almost 3 years ago
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