AWS Database Blog

Category: Learning Levels

Orchestrate an AWS DMS Serverless replication task using AWS CLI

Database migration is a critical aspect of modern IT operations, especially when you need to switch database systems while ensuring minimal downtime and data loss. AWS DMS Serverless is a feature of AWS Database Migration Service (AWS DMS) that provides automatic provisioning, scaling, built-in high availability, and a reduced billing model based on workload changes […]

Identify PostgreSQL semantic issues with the plpgsql_check extension

One critical aspect during the migration process from Oracle to PostgreSQL is identifying any semantic issues that may arise when translating Oracle-specific code to PostgreSQL. Although Oracle performs both semantic and syntax checks during code compilation, PostgreSQL focuses solely on syntax checks during code compilation, leaving room for potential semantic discrepancies in the converted code […]

Run a WAX Blockchain node using AWS CDK

WAX is a blockchain-based system designed for the unique demands of the gaming industry. It provides high transaction throughput and near-instant block finality. With WAX, game developers can decouple in-game digital assets from a single in-game world and let gamers use them in new contexts such as building walls of fame, creating personal online trophy […]

Amazon RDS Multi-AZ DB Clusters support new storage configurations

Amazon Relational Database Service (Amazon RDS) Multi-AZ DB Clusters are a great way to improve the performance and reduce the cost of demanding database workloads. Since RDS Multi-AZ DB Clusters were launched in March 2022, they have become an increasingly popular option for workloads that need more performance than a single RDS instance can support. […]

Run a serverless Arbitrum full node on AWS

Over the last 2 years, layer 2 technologies have gained traction and are solving the scaling constraints of Ethereum. L2beat provides a consolidated view of the different layer 2 projects. At the time of writing, Arbitrum represents approximatively half of the market value of layer 2 solutions. AWS offers a variety of services to help […]

Demystifying AWS Backup for Amazon RDS for Oracle

Customers prefer to host their relational database workloads in a managed service such as Amazon Relational Database Service (Amazon RDS) because of the benefits offered by managed services. Although Amazon RDS offers automatic backups as a native feature, your data retention policies may require longer retention periods than the retention policy supported by Amazon RDS. […]

Performant, Fine Grained Authorization at scale powered by Amazon DynamoDB

Okta is an identity and access management company. It has established itself as a key player in the digital security landscape. The Okta cloud platform powers thousands of businesses and applications worldwide and offers access management solutions for both workforce and customer identity use cases. The Okta Customer Identity Cloud (CIC) provides robust access management […]

Simplify cross-account access control with Amazon DynamoDB using resource-based policies

Amazon DynamoDB is a serverless, NoSQL, fully-managed database service that delivers single-digit millisecond latency at any scale. Customers increasingly use workload isolation strategies to minimize security threats and to ease the complexity of compliance demands for their DynamoDB-backed workloads. Implementing workload isolation strategies often requires cross-account and cross-Region access to DynamoDB resources using IAM identity-based policies, which […]

Unlocking efficiency: Integrate AWS Lambda with Amazon RDS for Oracle to automate custom script operations

Amazon Relational Database Service (Amazon RDS) makes it straightforward to set up, operate, and scale a relational database in the AWS Cloud. When monitoring Amazon RDS, you can use Amazon CloudWatch metrics for basic monitoring, Amazon RDS Performance Insights for database and query performance analysis, and Enhanced Monitoring for OS-level metrics. These tools provide valuable […]

Bulk update Amazon DynamoDB tables with AWS Step Functions

Developers want to perform bulk updates to modify items in their Amazon DynamoDB tables. Reasons for performing bulk updates can include: Adding or updating attributes – backfilling a Time to Live (TTL) value or populating an attribute to support a new access pattern or global secondary index (GSI). For example, enriching existing data with new […]