Kevin Willis

Product Manager on the DynamoDB team. Focused on programmability, PartiQL, TTL and Transactions. All opinions are mine.

[DynamoDB @dynamodb]

🚀 🚀 You can now advance your development projects from DynamoDB local to the DynamoDB web service or between your DynamoDB web service accounts with just a few clicks using NoSQL Workbench’s latest cloning tables feature 👉 https://t.co/lEXLxcWRAF

[Kevin Willis @kevin_aws]

@eigenseries I'm very happy that you like it! Which use cases has it helped you simplify?

[DynamoDB @dynamodb]

Customers often ask us for code samples to accelerate building with DynamoDB. We listened to your feedback and revamped our TTL guide to include Python and JS examples. Check out the new guide here and let us know what you think. ⏱️ ⏳ https://t.co/LWdY1tisyV

[DynamoDB @dynamodb]

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. 🛡️🛡️ https://t.co/ycjrsMLbOj

[DynamoDB @dynamodb]

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 https://t.co/zGMja89DCV

[Chris Anderson @crandycodes]

DynamoDB ❔

Do you typically design for a single DDB call or chain multiple DynamoDB calls together?

[Akshat Vig @akshatvig]

Save on Amazon DynamoDB costs💰by using DynamoDB TTL. Define a timestamp for items that lose relevance over time, and DynamoDB will delete them without consuming any write throughput.
https://t.co/7N2fSqVcRo

[DynamoDB @dynamodb]

Archiving old data helps reduce costs and meet regulatory requirements governing data retention or deletion policies. Click to learn how you can use Kinesis integration and the #DynamoDB Time to Live (TTL) feature to design data archiving👉#serverless #aws https://t.co/ujedajoXji

[DynamoDB @dynamodb]

TTL is a #DynamoDB feature which helps delete items from your table without consuming WCUs. Customers might not always pick TTL attribute prior to writing data to a table; Click to learn how to effectively backfill TTL attribute using EMR👉https://t.co/mzJmqGqI2r #aws #serverless

[Akshat Vig @akshatvig]

Excited to share our published paper at USENIX ATC 23 on how distributed transactions were implemented in @dynamodb using a timestamp ordering protocol without sacrificing high scalability, high availability, and predictable performance at scale

https://t.co/EHwXKmqLXS

[DynamoDB @dynamodb]

🚀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.🚀 https://t.co/rTCokmnov9

[Kevin Willis @kevin_aws]

@andrus We listed! 😁 https://t.co/GX6dD5S8Gp

[DynamoDB @dynamodb]

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.
https://t.co/wx3acDBt82

[Danilo Poccia @danilop]

Handle conditional write errors in high concurrency scenarios with Amazon DynamoDB 👉 More info on how to use the new ReturnValuesOnConditionCheckFailure parameter https://t.co/aznqLpxBkP #AWS #Database #NoSQL

[Kevin Willis @kevin_aws]

@bryson3gps @dynamodb Better late than never: https://t.co/GX6dD5S8Gp

[DynamoDB @dynamodb]

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.
https://t.co/wx3acDBt82

[DynamoDB @dynamodb]

🚀 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. 🚀 https://t.co/K8vdk7zBhH

[DynamoDB @dynamodb]

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.
https://t.co/wx3acDBt82

[Lee Hannigan @leeroy_hannigan]

📢 Check out our blog on @dynamodb new ReturnValuesOnConditionCheckFailure parameter that can help you with highly concurrent conditional writes and also simplify troubleshooting.

https://t.co/iksPo5Fxsd

[Kevin Willis @kevin_aws]

@cshenrik @dynamodb @alexbdebrie Hello, I'm Kevin from the DynamoDB product team. I would love to learn more about your use case for batch delete. Is it an ad hoc (one-off) use case, or do you need to trigger it programmatically? Do you need to delete 1,000 items or 1,000,000? Etc...

[@hypecycles.com on BlueSky @amrithkumar]

Looking forward to chatting with @tebanieo
about #AWS
#dynamodb
tomorrow. If you are thinking about DynamoDB, or have been using it for a while, you may find this session interesting. Send us any questions you may have and we'll do our best to cover them.

https://t.co/VGXaKE67EA

[Kevin Willis @kevin_aws]

@aptrishu @dynamodb What guarantees would you like?