1) Backtrack/Point in Time Restore (PITR) RDS Point in time restore is restore is supported, but it requires another RDS instance to be launched. Aurora Backtracks lets you quickly rewind the DB cluster to a specific point in time, without having to create another DB cluster. 2) Engine Options - Differences RDS - No concept of Global DB. Aurora - Global DB, Primary DB in one region and secondary DB in another region. 3) Compatibility with DB engines Aurora is compatible with two DBMSs namely PostgreSQL and MySQL. It is compatible with PostgreSQL 9.6.1 and MySQL 5.6. This means that you can run your existing database tools and applications on Aurora without any modifications. On the other hand, Amazon RDS requires you to use AWS Database Migration Service to migrate from EC2-hosted or on-premises databases such as MySQL, PostgreSQL, MariaDB, Microsoft SQL Server, and Oracle. 4) Failover In RDS, Failover to read replica is done manually, which could lead to data loss. You can ...
AWS Lambda provides many benefits for developers, including scalability, flexibility, faster release times, and reduced cost. However, also comes with limitations such as cold starts. Cold starts can increase the latency of serverless applications How Does AWS Lambda Work? Lambda functions run on their own container. When you create a new function, Lambda packages it into a new container. This container is then executed on a multi-tenant cluster of managed machines. Before the functions start running, each container is allocated its necessary CPU and RAM capacity. When a function finishes running, the allocated RAM is multiplied by the amount of time the function spent running. AWS charges customers based on the allocated memory and the amount of function run time. AWS Lambda can simultaneously execute many instances of the same function, or of different functions from the same AWS account. This makes Lambda suitable for deploying highly scalable cloud computing solutions. What Is an A...
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