AWS Database Blog
Category: Intermediate (200)
Secure your data with Amazon RDS for SQL Server: A guide to best practices and fortification
Securing SQL Server databases in the cloud is critical, and Amazon Relational Database Service for SQL Server (Amazon RDS) provides several security features to help ensure the confidentiality, integrity, and availability of your database instances. These features include data encryption at rest and in transit, secure user authentication and authorization mechanisms, network isolation, and fine-grained […]
Choose the right Amazon RDS deployment option: Single-AZ instance, Multi-AZ instance, or Multi-AZ database cluster
In addition to offering you a choice of seven well-known engines, Amazon Relational Database Service (Amazon RDS) also offers a number of deployment choices to assist you in selecting the option that best suits your workload. You can evaluate your requirements and then choose the right set of service offerings. In the latest set of […]
Build a knowledge graph on Amazon Neptune with AI-powered video analysis using Media2Cloud
A knowledge graph allows us to combine data from different sources to gain a better understanding of a specific problem domain. In this post, we use Amazon Neptune (a managed graph database service) to create a knowledge graph about technology products. In addition to the data we already have in the graph, we add the […]
Working with JSON data in Amazon DynamoDB
Amazon DynamoDB allows you to store JSON objects into attributes and perform many operations on these objects, including filtering, updating, and deleting. This is a very powerful capability because it allows applications to store objects (JSON data, arrays) directly into DynamoDB tables, and still retain the ability to use nested attributes within these objects in […]
Security is time series: How VMware Carbon Black improves and scales security observability with Amazon Timestream
August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Amazon Timestream is a fast, serverless, and secure time series database and analytics service that can scale to process trillions of time series events per day. Organizations […]
Reduce data archiving costs for compliance by automating Amazon RDS snapshot exports to Amazon S3
Many customers use AWS Backup to automatically create Amazon Relational Database Service (Amazon RDS and Aurora) database snapshots. RDS database snapshots are a convenient way to protect your data and make it easy to recover in the event of an accident or disaster. If you’re using RDS Snapshots for long-term archival to meet compliance requirements […]
How DevOcean built a vulnerability remediation management platform for cloud-native applications using Amazon Neptune
In this post, we discuss how DevOcean uses Amazon Neptune to power its cloud application vulnerability remediation platform. The DevOcean platform provides a unified dashboard to manage security events across all the layers of a customer’s cloud applications. With DevOcean, users can prioritize risk, reduce alert fatigue, and manage remediation faster with appropriate owners within […]
Key considerations while migrating bulk operations from Oracle to PostgreSQL
AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate your journey to AWS databases and analytics services and achieve cloud adoption benefits such as cost savings and performance improvements. Amazon DMA has assisted thousands of customers globally to migrate their workloads (database and application) to AWS databases and analytics services. In this post, we […]
Use Amazon DynamoDB global tables in DynamoDB Shell
Global tables build on the global Amazon DynamoDB footprint to provide you with a fully managed, multi-Region, multi-active database that delivers fast, local, read and write performance for massively scaled, global applications. Global tables replicate your DynamoDB tables automatically across your choice of AWS Regions. DynamoDB Shell is an interactive command line interface for DynamoDB. […]
Understanding Amazon DynamoDB latency
Amazon DynamoDB uses horizontal scaling to support tables of virtually any size. In addition to horizontal scaling, DynamoDB provides single-digit millisecond performance for workloads of all sizes. Retail sites like Amazon.com use DynamoDB for their shopping carts and workflow engines. A slow response while processing an order can not only be frustrating to customers, but […]