learn AWS

AWS - Databases There are 3 main database types in software world: Relational databases (MySql, Postgre, Amazon RDS etc.) Non-relational databases (Mongo, Amazon DynamoDB etc.) Graph databases (Amazon Neptune, NebulaGraph etc.) For your specific use case they have advantages and disadvantages.  We will cover relational and non-relational databases in this post.  Relational databases - as name implies stores information based on defined relation. Organized by tables, columns, rows. Supports complex queries and joins. Non-relational databases - contrary to the relational databases non-relational databases are more flexible. Documents, key/value, columns and graphs are some forms can be used to organize data. Databases in Amazon There are few ways to use database in AWS : Database on EC2 - We deploy any database software onto our instance and use it like this. Amazon RDS  - Amazon provided service, under the hood you can use (MySql,Postgre,Maria Amazon Aurora etc.) relationa...

When using Amazon Web Services (AWS), there are three primary factors that determine your costs: Compute : This includes the amount of resources such as CPU and RAM you use, as well as the duration for which you use them. Data Storage : The quantity of data stored or allocated. Outbound Data Transfer : The amount of data transferred out from all services. It's important to be cautious and monitor your usage to avoid unexpected costs. AWS Pricing Models On Demand (Pay as you Go) The On Demand model allows you to: Easily adapt to changing business needs. Adjust based on your requirements. Reduce the risk of paying for unused capacity. Reserved Instance (Save When You Reserve) By investing in reserved capacity, such as with EC2 or RDS, you can: Ensure you have resources available for unexpected scenarios like web traffic spikes. Reserve resources for 1-3 years, which can lead to significant discounts. Save up to 75% compared to the Pay-as-you-Go model. The more you pay upfront, the gr...