Top Tweets for #dynamoDb
AWS Quiz: DynamoDB Streams let you disable a stream on a table.
See Answer: https://t.co/uyOzFWkGfM
#AWS #DynamoDB #AWSCloud #AmazonWebServices #CloudComputing #Serverless #AWSCommunity #AWSDeveloper #DevOps #Cloud
atabase performance isn't just about speed—it's about design.
Amazon DynamoDB delivers:
- Single-digit millisecond latency
- Automatic scaling
- Global tables
- Built-in security & backups
Read more: https://t.co/ICP5OvGq8T
#AWS #DynamoDB #NoSQL #Serverless #Cloud
Alright, I’m gonna just build it myself. A cli tool where you just model your DynamoDB tables and access patterns and the tool does the rest, determining pks, sks, and GSIs for you and building the table for you based on your model. No more frustration. #buildinpublic #dynamodb
10.
This exercise helped me understand:
✅ ALB + Lambda integration
✅ Target Groups
✅ Listener Rules
✅ Path-based routing
✅ Differences between API Gateway and ALB
Small project, but a solid learning experience.
#buildinpublic #AWS #Lambda #DynamoDB #Backend #Serverless #CloudComputing #SoftwareEngineering
Why does DynamoDB (and document dbs in general) have to be so difficult to model?
Every tutorial starts with PKs, SKs, and GSIs. I just want to model my data not come up with an entire access architecture before I’ve written a single line of code. #dynamodb #buildinpublic
Stop losing Terraform state files. Store them in S3 with DynamoDB locking to prevent concurrent modifications and enable team collaboration. Server-side encryption keeps data safe. #terraform #s3 #dynamodb https://t.co/F6PtDUeXbI
Gotham Knights 🦇 — neon Batmobile racer for the crew. Pick your operative, race 10 districts, climb live leaderboards on DynamoDB + Vercel.
No login. Just ride.
https://t.co/G2pbPT3ZdJ
Feel free to drop your Bat Cowl in the Reply, will +
#H0Hackathon #Vercel #AWS #DynamoDB
Shoutout to @markramrattan for cooking up this epic Bat Cowl gameplay - people keep saying I drive too fast, but clearly the Batmobile training is paying off 🦇💨😂
I scored 9,889 ★★★ on The Underground in Gotham Knights as TrippingOverAnts. Can you beat it? https://t.co/uyE8kCJBbM
Module 8 of AWS Academy — Databases complete! 🗄️
RDS, Aurora, DynamoDB, ElastiCache. Purpose-built databases for every need. AWS handles the undifferentiated heavy lifting. @ireteeh @confirmedHOD @CyberRacheal @cyberjeremiah @cyber_rekk @cybergirl_io #AWS #Databases #DynamoDB

#BITTALK | ¿Cómo construimos el futuro del cheque en Bancor?
Tuvimos una nueva BitTalk junto al Team Bancor.
Si queres saber mas de este caso: https://t.co/hYbO9K0UZA
#EmployeeExperience #HumanAfterAll #HumanDrivenDevelopment #AWS #React #AppSynch #DynamoDB

【事例公開🆕✨】ジェイメック様が、オンプレミス基幹システムのデータをkintone・Box、医療機関向け会員サイトを支えるAmazon DynamoDB・S3へ自動連携し、顧客向け会員サイトのデータ品質向上と業務効率化を実現された事例を公開しました!
👇記事はこちらから👇
https://t.co/IosUrgFJLa
Using #serverless services on #AWS to build your solutions can scale beautifully when the boundaries are drawn well. In the example below, #CloudFront, S3, API Gateway, #Lambda, #DynamoDB, and Cognito each get a clear role, with practical reasoning behind every choice. Seeing examples like this can help solving your own problems.
One of the most interesting parts of the setup here is the caching strategy. Hashed assets cached aggressively at the edge while index.html is kept on a short TTL so changes show up quickly. The layered protection model with (Web Application Firewall) WAF, API Gateway throttling, and Lambda concurrency is also a nice approach.
Components like deployment pipelines, Lambda aliases, canary rollouts, and forward-compatible DynamoDB changes are discussed. Check out this setup from Renaldi.
https://t.co/Z9znM8461h

Dealing with multi-tenant #SaaS apps and data isolation on #AWS can be done in a number of different ways. This article walks through a #serverless stack using API Gateway, #Lambda, and #DynamoDB single-table design, covering decisions around partition keys, auth propagation, and keeping tenants from stepping on each other.
Deriving tenant context from validated JWTs instead of trusting client input is discussed, along with sharding GSI partition keys to avoid hot partitions, and wiring up per-tenant throttling through API Gateway usage plans. These are the areas where production systems quietly break down if not addressed early.
Renaldi provides code examples and tradeoff discussions, from choosing a pool vs. silo tenancy model to knowing when to add GSIs. Check it out if you are building or refining a multi-tenant API on AWS.
https://t.co/L0HMxokqDA

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