Category: Learning Levels

In Part 1 of this series, we gave a high-level introduction to an AWS Nitro Enclaves-based Web3Signer blockchain validation and signing service. We explained the purpose of running blockchain validators and also why Nitro Enclaves are well suited to run security sensitive cryptographic workloads. We furthermore covered the high-level application architecture and briefly explained the […]

In this series of posts, we provide prescriptive guidance in secure operation of Ethereum validator keys using AWS Nitro Enclaves for node operators who provide staking pools and staking-as-a-service. In this post (Part 1), we explain why AWS Nitro Enclaves are well suited to run Ethereum validators in a secure fashion and we provide a […]

Recently one of our customers, asked us to help them encrypt their unencrypted Amazon Relational Database Service (Amazon RDS) for PostgreSQL. In this post, we show a solution to create an encrypted database from their existing unencrypted database and cut over with the least disruption to applications. This solution uses database Snapshot and PostgreSQL logical […]

Customers often use a caching service like Amazon ElastiCache to boost application performance and scale. In this post, we go over 5 different recommendations to optimize the cost of your Amazon ElastiCache for Redis clusters. Amazon ElastiCache for Redis, a fully managed caching service, is a cost-effective solution that provides ultra-fast response for modern applications. […]

Amazon DynamoDB is a fully managed, serverless NoSQL database service that provides fast and predictable performance with seamless scalability. Every table in DynamoDB has a schema which specifies if it has a simple partition key (for pure key-value lookups), or a partition key and sort key both (for more complex query patterns). You use these […]

DynamoDB Shell is (ddbsh) an open-source command line interface for Amazon DynamoDB. For a simple introduction, refer to Query data with DynamoDB Shell – a command line interface for Amazon DynamoDB. The ddbsh README.md file has detailed command and usage examples. One of the objectives of ddbsh is to provide a simple and intuitive environment […]

Amazon Relational Database Service (Amazon RDS) is a managed relational database service offering. The managed service automation of Amazon Web Services (AWS) takes care of installation, storage provisioning, storage management, OS and database patching, and snapshot and restore of database instances. Offloading the undifferentiated heavy lifting of database infrastructure management to AWS helps you focus […]

Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server. This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. When migrating […]

In this two-part series, we demonstrated how to use Amazon Timestream database and its built-in time series functionalities to identify the harmonic issues at scale through correlating metrics for millions of customers and automate the process for large-scale data handling. An electricity utility normally engages in electricity generation and distribution of electricity to end users, […]

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service that provides the flexibility to customize your database, underlying server, and operating system configurations needed to support applications that require more control than what a typical managed relational database service provides. Amazon RDS Custom for Oracle is built for legacy, custom, packaged applications, […]