Category: Database*

When you deploy Microsoft SQL Server on AWS, you have many choices for how to optimize the performance, availability, reliability, and costs of your applications. Amazon offers multiple SQL Server versions, broad compute options, and numerous licensing options to optimize usage and reduce costs. You can choose the pay-as-you-go model and use the AWS license-included […]

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future blog posts, we provide the basic information that you need to get started with Elasticsearch on AWS. Introduction If you are using an IAM policy or policies that specify a user or role Amazon Resource Name (ARN) to […]

In this blog post, we show how you can secure your Amazon Elasticsearch Service (Amazon ES) domain with authentication and authorization based on Microsoft Active Directory (AD). You do so by using an Nginx reverse proxy, running custom authorization code. Amazon ES doesn’t have any built-in support for integration with AD/LDAP for access control. This […]

By Nathaniel Kangpan, SVP Technology & Data Services, Kepler Group I have yet to meet a client in the past 12 months that doesn’t already (a) have a team or two dipping their toes into cloud-based infrastructure, or (b) have the cloud on their roadmap for 2018. Total cost of ownership (TCO) savings for migrating […]

Database migrations are challenging, especially for heterogeneous database migrations such as Oracle to Amazon Aurora PostgreSQL, Oracle to Amazon Aurora MySQL, or Microsoft SQL Server to MySQL. The schema structure, data types, and database code of source databases can be quite different from those of the target databases, requiring a schema and code transformation step before the […]

The AWS Schema Conversion Tool (AWS SCT) makes your database migrations more predictable. It does this by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. We’re excited to announce a new feature in AWS SCT to enable schema comparison and synchronization for […]

Introduction Amazon Relational Database Service (Amazon RDS) enables you to use AWS Identity and Access Management (IAM) to manage database access for Amazon RDS for MySQL DB instances and Amazon Aurora MySQL DB clusters. Database administrators can associate database users with IAM users and roles. By using IAM, you can manage user access to all AWS resources from a single location, avoiding […]

We are happy to announce the availability of the first edition in the Amazon Database Migration Playbooks series. We plan for each playbook to be a step-by-step guide that aims to help make heterogeneous database migrations faster and easier and achieve “database freedom.” What the Database Migration Playbooks do The Database Migration Playbooks (a joint […]

In this post, we build an AWS CloudFormation stack to deploy resources to help demonstrate the process of migrating from an Oracle database to an Amazon Aurora PostgreSQL database. Because this is a heterogeneous migration, we follow a two-phase approach similar to what is detailed in How to Migrate Your Oracle Database to PostgreSQL. The […]

A best practice for the deployment of AWS resources is to use a configuration system that treats your infrastructure as code. Infrastructure as code is a key enabler of DevOps practices, which bring developers and operations together to collaborate on automating application delivery at scale. By modeling your entire infrastructure as code in AWS CloudFormation […]