Java Technical Blog

 

 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...

 

A WS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. It was introduced in November 2014. No worries about the server - You don't require servers, all you need to do is write the code and upload it to lamda. Which means, you can stop worrying about provisioning and managing those servers. The only thing Lamda requires to work is your code. Automatic Scaling - Scaling is done automatically based on the size of the workload. It scales the application running the code in response to each trigger. Metering on the second - You only pay for the amount of time that your code is running. Which means that you are not charged for any of the servers. The only payment required is for the amount of time the code is computed. AWS Lamda is one of the services that falls under the 'Compute' doma...

What is Cloud Computing? Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources through a cloud services platform via the internet with pay-as-you-go pricing. AWS Shared Responsibility Model AWS responsibility “Security of the Cloud” - AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud. This infrastructure is composed of the hardware, software, networking, and facilities that run AWS Cloud services. Customer responsibility “Security in the Cloud” - Customer is responsible for everything that goes IN the cloud (data, encryption, IAM, software, etc.) It is crucially important to understand which components and parts of AWS are your responsibility for each service. For example, with EC2 you maintain control over the OS, whereas with RDS, AWS is responsible for the OS. The Shared Responsibility model will show up heavily on the exam. Additional details are available on the A...