Category: Technical How-to

In this post, we walk you through a procedure to migrate the PostgreSQL database from Google Cloud Platform (GCP) Cloud SQL to Amazon Relational Database Service (Amazon RDS) for PostgreSQL. To accomplish this task, we use AWS Database Migration Service (AWS DMS), a data migration and replication service. Using AWS DMS you can do the […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. In this post, we discuss how to create the data pipelines from Amazon DocumentDB (with MongoDB compatibility) to Amazon Kinesis Data Firehose and publish changes to your destination store. Amazon DocumentDB (with […]

In this post, we test Oracle GoldenGate (OGG) bidirectional replication between two Amazon Relational Database Service (Amazon RDS) for Oracle instances. This can allow mission-critical applications to be highly available across Regions and provide data redundancy and resilience. Active-active replication allows multiple database instances with the same application tables to support read/write operations running independently […]

Customers are opting to replicate their critical workloads to Amazon Aurora PostgreSQL-Compatible Edition for ease of use, minimal operational overhead and the ability to break free from commercial licenses. In this post, we explain the high-level steps to migrate data from a highly available on-premises Microsoft SQL Server AlwaysOn secondary read-only database to Amazon Aurora […]

In this post, we provide a SQL Server Always On cluster database migration pattern solution to Amazon Relational Database Service (Amazon RDS) Custom for SQL Server using distributed availability groups. This solution helps reduce the migration downtime through continuous data synchronization combined with a failover process. This post is not a high availability and disaster […]

Oracle database administrators rely on tools such as Oracle’s Automatic Workload Repository (AWR) report to identify and resolve issues that are occurring in a database. Amazon Relational Database Service (Amazon RDS) for Oracle allows you to create read replicas to offload read-only workloads. Because the instances are read only, you can’t generate AWR reports to […]

Recently one of our customers, asked us to help them encrypt their unencrypted Amazon Relational Database Service (Amazon RDS) for PostgreSQL. In this post, we show a solution to create an encrypted database from their existing unencrypted database and cut over with the least disruption to applications. This solution uses database Snapshot and PostgreSQL logical […]

Amazon DynamoDB is a fully managed, serverless NoSQL database service that provides fast and predictable performance with seamless scalability. Every table in DynamoDB has a schema which specifies if it has a simple partition key (for pure key-value lookups), or a partition key and sort key both (for more complex query patterns). You use these […]

Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server. This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. When migrating […]

In this two-part series, we demonstrated how to use Amazon Timestream database and its built-in time series functionalities to identify the harmonic issues at scale through correlating metrics for millions of customers and automate the process for large-scale data handling. An electricity utility normally engages in electricity generation and distribution of electricity to end users, […]