Category: Intermediate (200)

Consistency is one of the most crucial characteristics of relational database systems. Even though every system has their own mechanisms for providing consistency based on the database engine, sometimes you may lack consistency for several reasons, such as I/O hardware and firmware, OS issues, the database engine software, and recovering from UNRECOVERABLE or NOLOGGING database […]

This is a guest post by Miguel Alpendre (Engineering Manager at OLX Group), Rodrigo Lopes (Senior Software Engineer at OLX Group), and Carlos Tarilonte (Senior Developer at OLX Group) in partnership with Luís Rodrigues Soares (Solution Architect at AWS). At OLX, we operate the world’s fastest-growing network of trading platforms. Serving 300 million people every […]

Amazon Relational Database Service (Amazon RDS) is a managed service that makes it easy to set up, operate, and scale relational databases in the cloud. Amazon RDS gives you access to the capabilities of a familiar MySQL, MariaDB, Oracle, SQL Server, or PostgreSQL database. Amazon RDS provides two different methods for backing up and restoring […]

Common language runtime (CLR) integration is an option to host .NET code within SQL Server programmatic objects like stored procedures, functions, and triggers, and adding user-defined data types. Since its introduction in SQL Server 2005, CLR integration has gained popularity within the SQL Server community for its additional flexibility and options to import .NET code […]

In the first post of this series, you learned about the differences between zonal, Regional, and global services, and how they affect theoretical application availability. In this post, you’ll learn more about some important Amazon DynamoDB characteristics and how they impact multi-Region design. Properties of DynamoDB tables in a single Region DynamoDB is a NoSQL […]

Customers that need to build resilient applications with the lowest possible recovery time objective (RTO) and recovery point objective (RPO) want to make the best use of AWS global infrastructure to support their resilience goals. Building an application using multiple Availability Zones in a single AWS Region can provide high levels of availability, but you […]

July 2023: This post was reviewed for accuracy. PostgreSQL has become the preferred open-source relational database for many enterprise developers and startups, and powers leading business and mobile applications. AWS provides two managed PostgreSQL options: Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Database statistics play a key role in […]

In this post, we share an open-source solution for running cross-chain analytics on public blockchain data along with public datasets for Bitcoin and Ethereum available through AWS Open Data. These datasets are still experimental and are not recommended for production workloads. You can find the open-source project on GitHub here and the public blockchain datasets […]

Amazon DynamoDB offers two types of backups: point-in-time recovery (PITR) and on-demand backups. PITR is used to recover your table to any point in time in a rolling 35 day window, which is used to help customers mitigate accidental deletes or writes to their tables from bad code, malicious access, or user error. On demand […]

Many applications, including those built on modern serverless architectures, can have a large number of open connections to the database server and may open and close database connections at a high rate, exhausting database memory and compute resources. Databases can also suffer from transient failures, impacting application availability. Finally, applications need to maintain database credentials to […]