AWS Database Blog

Category: Database

A serverless solution to monitor the storage of your Amazon DynamoDB tables

If you use Amazon DynamoDB as your application’s NoSQL database service, you might want to track how much storage your DynamoDB tables are using. DynamoDB publishes its service metrics to Amazon CloudWatch. CloudWatch helps you monitor and analyze those metrics, set alarms, and react automatically to changes in your AWS resources. Currently, DynamoDB sends many […]

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Using AWS Cost Management products to help save costs on Amazon RDS Reserved Instances

Using Amazon RDS, you can quickly and easily set up, operate, and scale your relational databases in the cloud. Amazon RDS Reserved Instances (RIs) give you the option to reserve a database instance for a one- or three- year term. This option can translate into significant discounts (up to 69%) compared to On-Demand prices. In […]

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How to perform advanced analytics and build visualizations of your Amazon DynamoDB data by using Amazon Athena

You can reap huge analytical value from billions of items and millions of requests per second in your Amazon DynamoDB service. However, you need to export your data in order to get that analytical value. Copying the data from a DynamoDB table to an analytics platform allows you to extract rich insights. In order to […]

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How to migrate to Amazon RDS for SQL Server using transactional replication

You can migrate your databases into Amazon RDS for Microsoft SQL Server in multiple ways. Typically, you perform a simple backup and restore of the databases (along with scripting system objects such as logins). If you want a higher availability or lower downtime option, you might use the AWS Database Migration Service (AWS DMS). In […]

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Get started with Amazon Elasticsearch Service: Use Amazon Cognito for Kibana access control

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 On April 2, 2018, we released integration between Amazon Elasticsearch Service and Amazon Cognito. You can now provide and manage […]

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AWS DMS now supports R4 Type Instances and learn to choose the right instance AWS DMS migrations

We are happy to announce support for R4 memory-optimized instances of Amazon EC2 in AWS Database Migration Service (AWS DMS). These instances come with more memory and higher network bandwidth to help support migrations requiring higher throughput and memory-intensive operations. Here you can see the lineup of instances that is supported in DMS. Now that […]

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How to build a real-time sales analytics dashboard with Amazon ElastiCache for Redis

Most often, when we discuss Amazon ElastiCache, it is in the context of enhancing the performance of read-heavy database workloads. We update our applications to employ a read-through or write-through pattern to keep data in the cache fresh and ease the burden on the database. When used in this context, ElastiCache accelerates your high volume […]

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AWS DMS now supports Binary Reader for Amazon RDS for Oracle and Oracle Standby as a source

We are excited to announce support for Binary Reader for Amazon RDS for Oracle and Oracle Active Data Guard Standby as sources for migration in AWS Database Migration Service (AWS DMS). AWS DMS helps you migrate databases to AWS quickly and relatively securely. It also helps you migrate data within AWS. You can migrate your […]

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Use Amazon DynamoDB Accelerator (DAX) from AWS Lambda to increase performance while reducing costs

Using Amazon DynamoDB Accelerator (DAX) from AWS Lambda has several benefits for serverless applications that also use Amazon DynamoDB. DAX can improve the response time of your application by dramatically reducing read latency, as compared to using DynamoDB. Using DAX can also lower the cost of DynamoDB by reducing the amount of provisioned read throughput […]

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How to extract, transform, and load data for analytic processing using AWS Glue (Part 2)

One of the biggest challenges enterprises face is setting up and maintaining a reliable extract, transform, and load (ETL) process to extract value and insight from data. Traditional ETL tools are complex to use, and can take months to implement, test, and deploy. After the ETL jobs are built, maintaining them can be painful because […]

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