PS: Recognize the meme that inspired our episode art? 😏

Bonus points if you spot it 🙃

#AWS #AuroraDSQL #ServerlessSQL #PostgreSQL #CloudComputing #Fastify #DrizzleORM #Lambda #DevOps #MultiRegion #CostOptimization

Amazon #AuroraDSQL is now generally available!

This PostgreSQL-compatible, serverless & distributed database from AWS is designed to support active-active high availability and multi-region strong consistency.

🔗 Discover more: bit.ly/4jOt757

#InfoQ #CloudComputing #Serverless #AWS #PostgreSQL

AntStack TV | Episode 7 | Rahul Kumar Breaks Down AWS re:Invent’s Biggest Data Engineering Reveals Welcome to another insightful episode of AntStack TV! Join Rahul Kumar as he breaks down the biggest AWS re:Invent 2024 announcements, with a special focus on data engineering, cloud modernization, and serverless innovations. Key Highlights from AWS re:Invent 2024: 🔵 Amazon S3 Enhancements – Improved data integrity, rich metadata, and S3 tables optimized for big data. 🔵 AWS SageMaker Lake House – A unified approach to data lakes and data warehouses with zero-ETL integrations. 🔵 DynamoDB Updates – Strongly consistent global tables and zero-ETL integration with SageMaker Lake House. 🔵 AWS Glue 5.0 – 30% faster data processing and cost reductions for big data workloads. 🔵 Redshift Upgrades – Kafka ingestion, expanded query limits, and cross-cloud integrations. 🔵 Aurora DSQL – AWS’s distributed SQL solution for multi-region applications. 🔵 GenAI in AWS Services – QuickSight AI-driven BI, GAI-powered schema conversion in AWS DMS, and more. Why Watch? Whether you're a cloud architect, data engineer, or a tech enthusiast, this episode covers everything you need to stay ahead in the AWS ecosystem. 🔔 Subscribe to AntStack TV for expert insights, AWS deep dives, and discussions on serverless, cloud computing, and AI-driven architectures. 💬 Drop your thoughts in the comments! What AWS re:Invent update excites you the most? Contact us for starting your serverless journey: https://www.antstack.com/build-with-us/?utm_source=youtube&utm_medium=description&utm_campaign=ytConverstion 0:00 - Introduction to AntStack TV 0:10 - Overview of AWS re:Invent 2024 announcements 0:30 - Amazon S3 Tables: Optimized buckets for open table formats 1:00 - Performance benefits: 10x read and write speeds in S3 tables 1:35 - Managing Apache Iceberg tables seamlessly with S3 2:20 - SageMaker Lake House: Unified data lakes and warehouses 3:00 - Zero-ETL integrations: DynamoDB to SageMaker Lake House 3:40 - Zero-ETL for CloudWatch and OpenSearch 4:15 - CloudWatch Insights: Seamless OpenSearch integration 5:00 - Pre-built dashboards for VPC Flow Logs, WAF, and CloudTrail 5:35 - AWS DMS upgrade: GenAI-powered schema conversion 6:10 - AWS Glue 5.0: 30% faster data processing and lower costs 6:40 - DynamoDB Global Tables: Now strongly consistent 7:10 - Redshift upgrades: Increased query limits and Kafka ingestion 7:45 - AWS Clean Rooms: Expanded cross-cloud data sharing 8:15 - QuickSight AI: GenAI-powered business intelligence 8:50 - Aurora DSQL: AWS’s take on distributed SQL for multi-region apps 9:30 - Multi-region active-active replication for databases 10:00 - PostgreSQL compatibility and future roadmap for Aurora DSQL 10:30 - Recap of AWS re:Invent 2024 highlights 11:00 - Closing thoughts and community engagement Website: https://www.antstack.com/ LinkedIn: https://linkedin.com/company/antstackio Behance: https://behance.net/antstack Twitter/X: https://twitter.com/antstack Instagram: https://instagram.com/lifeatantstack #AWSreInvent #AWS #Serverless #DataEngineering #CloudComputing #BigData #DynamoDB #AmazonS3 #AuroraDSQL #ZeroETL #Redshift #AI #Modernization #TechTalk [AWS re:Invent 2024, Amazon S3 updates, AWS serverless, data engineering in AWS, AWS cloud computing, AWS modernization, DynamoDB global tables, S3 tables, S3 rich metadata, AWS Glue 5.0, Redshift Kafka ingestion, Aurora DSQL, distributed SQL on AWS, zero-ETL integrations, AWS SageMaker Lake House, serverless data processing, cloud-native databases, AI in AWS, QuickSight AI, AWS schema conversion, AWS data lakes, AWS BI tools, AWS innovations, scalable cloud solutions, enterprise cloud architecture]

𝗔𝗰𝘁𝗶𝘃𝗲-𝗔𝗰𝘁𝗶𝘃𝗲 𝗔𝘂𝗿𝗼𝗿𝗮? Yes!

Write to multiple regions at once, #AWS syncs it for you.
Rahul Kumar breaks it down. 𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝗳𝗿𝗼𝗺 #AWSreInvent2024?

𝗪𝗮𝘁𝗰𝗵 𝗻𝗼𝘄: bit.ly/4jPLFn9

#AuroraDSQL #Serverless #MultiRegion

AWS Aurora DSQL for Django Developers: A Step-by-Step Guide Amazon Aurora is a cloud-native relational database service that provides high performance and...

✍️ New blog post by Kevin Kiruri

AWS Aurora DSQL for Django Developers: A Step-by-Step Guide

#aws #auroradsql #developer #django

Probably one of the biggest announcements of #AWSreinvent 2024 #AuroraDSQL

Single table design for DynamoDB: The reality Consider the downsides of single table design before committing your developers

..but the pattern was a relic of its time pre on-demand / auto-scaling etc.

What I’m trying to figure out now is when you’d use DynamoDb over the new Aurora DSQL? #AWS #DynamoDb #AuroraDSQL #re:Invent

blog.highbar.solutions/single-table...

aws.amazon.com/rds/aurora/d...

At #AWS re:Invent, #AuroraDSQL brought a unique concurrency control feature. Instead of locks, it uses an optimistic approach - transactions don’t block each other, and conflicts are resolved at commit time. No deadlocks, but retries might be needed - so design for idempotency. 🦾

Amazon Aurora DSQL: A New Solution for Globally Distributed Databases | FanTechno.com At its annual re:Invent conference, Amazon Web Services (AWS) unveiled an innovative serverless, distributed SQL database — Amazon Aurora DSQL. This solution is designed to support highly reliable and...

fantechno.com/amazon-auror...
Amazon Aurora DSQL: A New Solution for Globally Distributed Databases
#Amazon #AuroraDSQL #AWS #DistributedDatabases #DSQL #Event #re:Invent #Service

Funny how things are alyways cyclical - I was solving time sync issues 15-20 years ago in my day job. All this time later, we're still trying to work around that pesky physics issue! #reInvent #AuroraDSQL