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Outbox pattern with DynamoDB Streams and EventBridge Pipes
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Outbox pattern with DynamoDB Streams and EventBridge Pipes

DEV Community: aws·Sascha Mirow-Stanitzok·about 22 hours ago
#NEZZDNgV
#devtoaws#devto#dev#dynamodb#pipe

Outbox pattern with DynamoDB Streams and EventBridge Pipes: write only to the table and get reliable messages. Step by step with AWS CDK and TypeScript.

15s
Cutting AWS Cloud Waste by 68%: An Enterprise Serverless Architecture Case Study
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Cutting AWS Cloud Waste by 68%: An Enterprise Serverless Architecture Case Study

DEV Community: cloud·saadhussain787·4 days ago
#FVuNWzGV
#devtocloud#devto#dev#zero#event

In modern enterprise computing, the single largest driver of unnecessary cloud spend is zombie idle...

15s
DynamoDB Contributor Insights Pricing: What You're Actually Paying For
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DynamoDB Contributor Insights Pricing: What You're Actually Paying For

DEV Community: dynamodb·Aman Singh·5 months ago
#7V3agc2l
#dev#month#table#capacity#keys

/$0.50 per rule per month. $0.03 per million events. Enabling Contributor Insights on a single...

15s
Partition and Sort Keys on DynamoDB: Modeling data for batch-and-stream convergence
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Partition and Sort Keys on DynamoDB: Modeling data for batch-and-stream convergence

DEV Community: dynamodb·Ana Silva·5 months ago
#YMhOOFxU
#dev#active#date#batch#table

How to design partition keys, sort keys and a serving layer when your data has two sources...

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How close is your DynamoDB emulator to AWS?
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How close is your DynamoDB emulator to AWS?

DEV Community: dynamodb·Martin Hicks·5 months ago
#9Uinryv9
#dev#dynamodb#suite#emulator#tests

The DynamoDB conformance suite now has a home: eight emulators and 684 tests scored against live AWS DynamoDB, with results published on every run.

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NoSQL Databases Guide (MongoDB, DynamoDB, Firestore)
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NoSQL Databases Guide (MongoDB, DynamoDB, Firestore)

DEV Community·丁久·6 months ago
#y8DuAglj
#nosql#database#sql#software#mongodb

A practical guide to NoSQL databases comparing MongoDB, DynamoDB, and Firestore for document storage, scalability, and query patterns.

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