AWS Database Blog

Category: Compute

Accelerating Nylas’s feature development with AWS Data Lab

This is a guest post by David Ting, VP of Engineering at Nylas. In their own words, Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. Over 26,000 developers around the globe use the Nylas […]

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How caresyntax uses managed database services for better surgical outcomes

This is a guest post from Ken Wu, Chief Technology Officer, and Steve Gordon, Director of Engineering at caresyntax. caresyntax provides the needed tools to make surgery smarter and safer. Our solutions use IoT, analytics, and AI technologies to automate clinical and operational decision support for surgical teams and support all outcome contributors. We help […]

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Setting up passwordless login from Amazon EC2 Windows and Linux instances to Amazon RDS Oracle database instances

In today’s world, every organization uses a centralized location to store and manage user credentials. The most commonly used service for this is Microsoft Active Directory (AD). Organizations use LDAP protocol to authenticate users to their peripheral devices, but fewer companies use this centralized credential store to allow users to log in to their databases. […]

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Multi-region SQL Server deployment using distributed availability groups

A multi-region architecture for SQL Server is often a topic of interest that comes up when working with our customers. The fundamental reasons why customers adopt a multi-region architecture approach for SQL Server deployments is: Business continuity and disaster recovery Geographically distributed customer base and improving latency for end-users This post explains the architecture patterns […]

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Scheduling and running Amazon RDS jobs with AWS Batch and Amazon CloudWatch rules

Database administrators and developers traditionally schedule scripts to run against databases using the system cron on the host where the database is running. As a managed database service, Amazon Relational Database Service (RDS) does not provide access to the underlying infrastructure, so if you migrate such workloads from on premises, you must move these jobs. […]

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Building enterprise applications using Amazon DynamoDB, AWS Lambda, and Go

Amazon DynamoDB is a fully managed service that delivers single-digit millisecond performance at any scale. It is fully managed, highly available through behind-the-scene Multi-AZ data replication, supports native write-through caching with Amazon DynamoDB Accelerator (DAX) as well as multiple global secondary indexes. Developers can interact with DynamoDB using the AWS SDK in a rich set […]

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Migrating your on-premises SQL Server Windows workloads to Amazon EC2 Linux

For decades, IT administrators could only run their SQL Server workloads on Windows. However, as of SQL Server 2017, SQL Server is now available to run in the Linux operating system. For IT administrators, this represents an opportunity to run SQL Server workloads on their preferred operating system, save on Windows Server licensing costs, and […]

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IAM role-based authentication to Amazon Aurora from serverless applications

Storing user names and passwords directly in applications is not a best practice. Saving credentials as plaintext should never occur in a secure application. As a solution, AWS Identity and Access Management (IAM) policies can assign permissions that determine who is allowed to manage Amazon Aurora resources. For example, you can use IAM to determine […]

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Deploying Always On availability groups between Amazon EC2 Windows and Amazon Linux 2 instances

Microsoft SQL Server 2017 supports Always On availability groups between Windows and Linux to create read-scale workloads without high availability (HA). Unfortunately, you cannot achieve HA between Windows and Linux because there is no clustered solution that can manage that cross-platform configuration. To use HA with Always On availability groups, consider using a Windows Server […]

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Running AWS Lambda-based applications with Amazon DocumentDB

Microservices-based applications architectures are the norm for building scalable applications. AWS makes creating these types of applications easier with Amazon DocumentDB (with MongoDB compatibility). Just bring your code and deploy an application with this fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application […]

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