DynoTable
DynoTable is a local-first DynamoDB GUI, a desktop client for Amazon DynamoDB on macOS (Apple Silicon), Windows and Linux (.deb/.rpm). Its SQL Workbench runs real SELECT queries with JOINs, GROUP BY and aggregations (SUM, AVG, COUNT DISTINCT, HAVING) over live tables. Every query previews its plan before it runs, showing Scan vs Query, the index and an RCU estimate, so you see the cost first. Smart Tables join tables on a primary key or any global secondary index and recompute live, with no schema migration or ETL. A built-in AI agent runs on your own Amazon Bedrock keys. It reads your schema, drafts queries and proposes writes, and no prompt, schema or row leaves your AWS account. Claude Code, Cursor and Codex connect over MCP. External agents never write directly; every change lands in a staging window you review and commit. DynoTable talks straight to AWS with your own credentials, so it can only do what your IAM policy allows, and works with AWS SSO, aws-vault and DynamoDB Local.
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AWS Auto Scaling
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
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Amazon DynamoDB
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events.
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Amazon DynamoDB Accelerator (DAX)
Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. DAX reduces operational and application complexity by providing a managed service that is API-compatible with DynamoDB. Therefore, it requires only minimal functional changes to use with an existing application. For read-heavy or bursty workloads, DAX provides increased throughput and potential operational cost savings by reducing the need to overprovision read capacity units. This is especially beneficial for applications that require repeated reads for individual keys.
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