AWS Database Blog

How Specright uses Amazon QLDB to create a traceable supply chain network

This post is co-authored by Ayman Shoukry, Specright’s Chief Technology Officer and Kevin Tran, Engineering Manager at Specright. The world is experiencing a tectonic shift in how things are made, and most supply chains weren’t ready. We saw it in the thousands of empty shelves early on in the COVID-19 pandemic. We see it in […]

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Use Docker containers to deploy Graph Notebooks on AWS

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you […]

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Accelerate data migration using AWS DMS and AWS CDK

Deploying and configuring AWS Data Migration Service (AWS DMS) across multiple environments involves several configurations, testing, and provisioning of AWS DMS resources. This can be time-consuming and error-prone due to the large number of settings involved. The AWS Cloud Development Kit (AWS CDK) lets you define your cloud infrastructure as code in one of five […]

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Validate database objects post-migration from Microsoft SQL Server to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL

Database object validation plays a key role in the database migration process. It’s the process of determining whether all the source database objects have been successfully migrated to the target database by comparing their types and counts. If you miss the validation phase, you may encounter run time errors due to missing database objects which […]

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PostgreSQL bi-directional replication using pglogical

PostgreSQL supports block-based (physical) replication as well as the row-based (logical) replication. Physical replication is traditionally used to create read-only replicas of a primary instance, and utilized in both self-managed and managed deployments of PostgreSQL. Uses for physical read replicas can include high availability, disaster recovery, and scaling out the reader nodes. Although there is […]

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Optimize with Amazon RDS: Zenefits’s migration to AWS Graviton2 instances

This post is coauthored with Bajrang Panigrahi, Senior Software Engineer- II at Zenefits. Zenefits is an award-winning People Operations Platform that makes it easy to manage employee documents, HR, benefits, payroll, timekeeping, and attendance all in one secure place. Zenefits uses Amazon Relational Database Service (Amazon RDS) for its production database workloads to improve operational […]

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Scale your Amazon ElastiCache for Redis clusters with Auto Scaling

Caching is an integral part of today’s modern architecture. A cache is designed to store your most frequently used data to improve your application’s performance, and reduce burden on your primary data store. You can use a cache layer in a multitude of use cases, including web caching, session management, database caching, and more. As […]

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Get started with Babelfish for Aurora PostgreSQL

Enterprises that want to migrate from a SQL Server database engine to Amazon Aurora PostgreSQL-Compatible Edition typically convert the database schema from one database to another, then take data from the first database and load it into the target database. This process tends to be error-prone and requires quite a bit of work after the […]

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Use Amazon RDS Proxy with read-only endpoints

Amazon RDS Proxy is a fully managed, highly available database proxy that can front your Amazon RDS for MySQL or Amazon RDS for PostgreSQL databases and Amazon Relational Database Service (Amazon RDS) for MySQL or Amazon Relational Database Service (Amazon RDS) for PostgreSQL databases. It allows you to manage an application’s access to the database […]

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Connect to Oracle from Amazon RDS for PostgreSQL using the oracle_fdw

One of the challenges organizations face when looking to modernize their Oracle database estates is the degree of interoperability between databases, which often manifests as large numbers of database links between these databases. The dilemma here is how to unravel this spiderweb of interconnectivity; it’s very rare that you can migrate all the databases at […]

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