Amazon Finance Technology saved time and engineering overhead by building their serverless, event-driven remittance service with DynamoDB, Lambda, and Step Functions. Learn about their approach in a new blog post written by their Principal Engineer.
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Join us at 10am PT on Thursday 8/24 to learn how DynamoDB works through a series of design puzzles. These puzzles will educate you about decisions to consider when building efficient data models on DynamoDB. Register for our Design Puzzles webinar here 👉 go.aws/3OQhZHP

#DynamoDB helped Careem scale their platform to over 50 million customers, while lowering their database costs by over 50%. 🚗 ⚡ 📱 Learn more about their journey here: go.aws/3E70ZIm

Using #DynamoDB , PubNub provides infinite global scalability and fast performance to 350,000 developers. All without spending any time on infrastructure management, and at a fraction of the cost of its previous database solutions.⚡ 💻 Learn more here: go.aws/3E3la9Y

See our latest blog post to learn how customers can use DynamoDB Streams for change data capture. RDBMS users - this architecture can reduce your database object count and size, and avoid relying on managing temporal tables. 👀 ⏳ #dynamodb #serverless go.aws/47pRXnb

Our latest DynamoDB Nuggets video shows how AWS IAM can provide fine-grained access control (FGAC) to DynamoDB tables at an item or attribute level. FGAC helps you implement least-privilege policies, restricting access to required IAM users and roles. 🛡️🛡️ go.aws/3OvrX13

Prime Day 2023 was Amazon's largest sales day ever. DynamoDB powers multiple Amazon systems including Alexa, Amazon.com sites, and Amazon fulfillment centers, which made trillions of calls to the DynamoDB API - peaking at 126M reqs per second. go.aws/44SIoeF

We've created a new learning module to help customers develop a mental flowchart for designing a #DynamoDB schema that will take you from use case into production. We love customer feedback, so please have a look and let us know what you think. go.aws/46MXWlL

🚀DynamoDB local version 2.0.0 release now supports the jakarta.* namespace. You can
develop and test your application with DynamoDB local and take advantage of the architectural flexibility this change offers.🚀 go.aws/43nEtF8

Conditional checks allow you to apply conditions when performing DynamoDB item modifications. In this blog post, learn how the new ReturnValuesOnConditionCheckFailure parameter can be used to improve efficiency when dealing with concurrent updates.
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To get started with failed conditional writes, add the new parameter to your PutItem, UpdateItem, or DeleteItem operations and set the value to ALL_OLD. You can use your favorite coding language in our getting started guide. go.aws/3XyZCek

🚀 Amazon DynamoDB now makes it easy to handle failed conditional writes by providing a copy of the item as it was during the failed write. 🚀 go.aws/3pBK2Ss

🚀 NoSQL Workbench is now available for use with AWS GovCloud regions. AWS GovCloud customers can use NoSQL Workbench to design, visualize data models, and query Amazon DynamoDB with a point-and-click interface. 🚀 go.aws/3XtCbTJ

DynamoDB Shell is an interactive command line interface which can be used to perform data definition language (DDL) and data manipulation language (DML) operations; it now has DDL support for global table operations. Click to learn more 👉 go.aws/46bDjPE #serverless #aws

Data organization, and planning for data retrieval are critical steps during table design. Click to learn how to optimize tables for data retrieval with sort keys in #DynamoDB using real world examples 👉
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#DynamoDB import from S3 helps you to bulk import terabytes of data from Amazon S3 into a new DynamoDB table with no code or servers required. Check out this post to learn more 👇 go.aws/3CGxVq8 #serverless #databases #aws

Getting started with #DynamoDB ? Click on this link to learn about the 4 steps for modeling data on #DynamoDB . These steps will help you find your access patterns, and get the most efficient data model; all within one DynamoDB table 👉 go.aws/3JjMa80 #serverless #aws

'In some situations, you may want to migrate #DynamoDB tables into a different AWS account. Check out this post to learn about a cost-effective method to migrate and sync DynamoDB tables across accounts 👉 go.aws/449Awoa #serverless #aws #cloudcomputing

#DynamoDB allows you to store JSON objects into attributes and perform operations such as filter, update, and delete on these objects. Check out this post to explore some of the things that you can do with JSON objects in DynamoDB 👉 go.aws/3NBq9nS #serverless #database

Your success with #DynamoDB depends on how well you define and model your access patterns. One aspect of data modeling is treatment of large objects within DynamoDB. Click to learn about the different options for handling large objects👉go.aws/3qTZYzH #serverless #aws