AWS re:Invent 2023 – Day 2 Recap

Amazon Q 

AWS announces Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be tailored to your business to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories, code, and enterprise systems. Amazon Q has a broad base of general knowledge and domain-specific expertise. 

Availability of Amazon Q’s feature development capability in preview, in Amazon CodeCatalyst. With this new capability, developers can assign a CodeCatalyst issue to Amazon Q, and Q performs the heavy lifting of converting a human prompt to an actionable plan, then completes code changes and a pull request that is assigned to the requester. Q will then monitor any associated workflows and attempt to correct any issues. The user can preview code changes and merge the pull request. Development teams can utilize this new capability as an end-to-end, streamlined experience within Amazon CodeCatalyst, without having to enter the IDE. 

Amazon Q, an advanced AI-driven assistant seamlessly integrated into Amazon Connect, is specifically designed for enhancing workplace efficiency and customizable to suit your business needs. Amazon Q within Connect provides instantaneous recommendations, empowering contact center agents to address customer concerns swiftly and precisely. This not only boosts agent productivity but also elevates overall customer satisfaction levels. 

With Amazon Q in AWS Chatbot, customers receive expert answers to questions related to AWS issues from chat channels where they collaborate with their peers to finalize the next steps.  

Amazon Transcribe 

Amazon Transcribe’s next-generation, multi-billion parameter speech foundation model-powered system that expands automatic speech recognition (ASR) to over 100 languages. Amazon Transcribe is a fully managed ASR service that makes it easy for customers to add speech-to-text capabilities to their applications. 

Continued Pre-training with Amazon Titan 

Amazon Bedrock provides you with an easy way to build and scale generative AI applications with leading foundation models (FMs). Continued pre-training in Amazon Bedrock is a new capability that allows you to train Amazon Titan Text Express and Amazon Titan Text Lite FMs and customize them using your own unlabeled data, in a secure and managed environment. As models are continually pre-trained on data spanning different topics, genres, and contexts over time, they become more robust and learn to handle out-of-domain data better by accumulating wider knowledge and adaptability, creating even more value for your organization. 

Fully Managed Agents for AWS Bedrock

Fully managed Agents for Amazon Bedrock enables generative AI applications to execute multi-step tasks across company systems and data sources. Agents analyze the user request and break it down into a logical sequence using the FM’s reasoning capabilities to determine what information is needed, the APIs to call, and the sequence of execution to fulfill the request. After creating the plan, Agents call the right APIs and retrieve the information needed from company systems and data sources to provide accurate and relevant responses. 

AWS Bedrock: PartyRock 

PartyRock, an Amazon Bedrock Playground is a fun and intuitive hands-on, shareable generative AI app-building tool. Post announcement, builders made tens of thousands of AI-powered apps in a matter of days, shared on social media using single-step tools from within the playground. 

Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service 

AWS has introduced Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service, empowering users with advanced search functionalities, including full-text and vector search, on their DynamoDB data. Zero-ETL integration provides seamless data synchronization from Amazon DynamoDB to OpenSearch without the need for custom code to extract, transform and load data. Leveraging Amazon OpenSearch Ingestion, the integration automatically comprehends the DynamoDB data format and maps it to OpenSearch index mapping templates for optimal search results. Users can synchronize data from multiple DynamoDB tables into a single OpenSearch managed cluster or serverless collection, facilitating comprehensive insights across various applications. This zero-ETL integration is available for Amazon OpenSearch Service managed clusters and serverless collections and accessible in all 13 regions where Amazon OpenSearch Ingestion is available. 

Amazon S3 Express One Zone high performance storage class 

Amazon has unveiled the Amazon S3 Express One Zone storage class, offering up to 10x better performance compared to S3 Standard. This high-performance class handles hundreds of thousands of requests per second with consistent single-digit millisecond latency, making it ideal for the most frequently accessed data and most demanding applications. Data is stored and replicated within a single AWS Availability Zone, enabling storage and compute resource co-location thus reducing latency. Small objects can be read up to 10x faster compared to the S3 standard with the S3 Express One Zone’s consistently very low latency. Amazon S3 Express One Zone offers remarkably low latency, and when paired with request costs that are 50% less than those associated with the S3 Standard storage class, it results in a comprehensive reduction in processing expenses. A new bucket type – ‘Directory Buckets’ is introduced specifically for this storage class that supports hundreds of thousands of requests per second. Pricing is on a pay-as-you-go basis, and the storage class offers 99.95% availability with a 99.9% SLA. 

Schedule a meeting with our AWS cloud solution experts and accelerate your cloud journey with Idexcel. 

AWS re:Invent 2023 – Day 1 Recap

Amazon Aurora Limitless Database (Preview) 

Amazon Aurora introduces the preview of Aurora Limitless Database, offering automated horizontal scaling to handle millions of write transactions per second and manage petabytes of data in a single database. This groundbreaking capability allows scaling beyond the limits of a single Aurora writer instance with independent compute and storage capacity. The two-layer architecture includes shards for parallel processing and transaction routers for managing distribution and ensuring consistency. Users can easily start with a preview in specified AWS regions, selecting the Limitless Database-compatible version and creating tables with options for maximum Aurora capacity units. Connectivity is established through the limitless endpoint, and two table types (Sharded and Reference) to optimize data distribution for enhanced performance. Aurora Limitless Database streamlines the scaling process, enabling the development of high-scale applications without the complexity of managing multiple instances. 

Amazon SQS FIFO queues – Throughput increase and DLQ redrive support 

Amazon SQS has introduced two new capabilities for FIFO (first-in, first-out) queues. Maximum throughput has been increased up to 70,000 transactions per second (TPS) per API action (compared to the previous limit of 18,000 TPS per API action in October) in selected AWS Regions, supporting sending or receiving up to 700,000 messages per second with batching. Similar to the DLQ redrive that is available for Standard Queues, DLQ redrive support for FIFO queues is introduced to handle the messages that are not consumed after a specific number of retries. This helps to set up the process to analyze the messages, take necessary actions for failures, and push the messages back to source queues or re-process the messages. These features can be leveraged to build more robust and scalable message processing systems. 

Amazon ElastiCache Serverless for Redis and Memcached 

Amazon Web Services (AWS) announced the general availability of Amazon ElastiCache Serverless for Redis and Memcached, a new serverless option that simplifies the deployment, operation, and scaling of caching solutions. ElastiCache Serverless requires no capacity planning or caching expertise and constantly monitors memory, CPU, and network utilization, providing a highly available cache with up to 99.99 percent availability. ElastiCache Serverless automatically scales to meet your application’s traffic patterns, and you only pay for the resources you use. 

Schedule a meeting with our AWS cloud solution experts and accelerate your cloud journey with Idexcel. 

What to Expect from AWS re:Invent 2023

The AWS re:Invent 2023, Amazon Web Services’ annual technology conference, is set to take place from November 27 to December 1 in Las Vegas, Nevada. As the premier event for AWS partners and customers, it stands out as the largest gathering, offering a diverse range of activities. Attendees can anticipate keynote announcements, training and certification options, entry to over 2,000 technical sessions, participation in the expo, engaging after-hours events, and numerous other enriching experiences during this in-person conference. 

AWS re:Invent 2023 is The event is ideal for people who want to transform their business with the cloud, hear the latest innovations with AWS, and explore new technology and anyone who wishes to level up their cloud-computing skills to advance their career. As an Amazon Web Services (AWS) Advanced Tier Services Partner and Managed Service Provider (MSP), Idexcel is very excited and looking forward to this event. 

Keynotes Sessions 

Keynote Session 1:  Peter DeSantis | Monday, November 27 | 7:30 PM – 9:00 PM (PST) 

Join Peter DeSantis, Senior Vice President of AWS Utility Computing, as he continues the Monday Night Live tradition of diving deep into the engineering that powers AWS services. Get a closer look at how our unique approach and culture of innovation help create leading-edge solutions across the entire spectrum, from silicon to services—without compromising on performance or cost. 

Keynote Session 2:  Adam Selipsky | Tuesday, November 28 | 8:00 AM – 10:30 AM (PST) 

Join Adam Selipsky, CEO of Amazon Web Services, as he shares his perspective on cloud transformation. He highlights innovations in data, infrastructure, artificial intelligence, and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. 

Keynote Session 3:  Swami Sivasubramanian | Wednesday, November 29 | 8:30 AM – 10:30 AM (PST) 

A powerful relationship between humans, data, and AI is unfolding right before us. Generative AI is augmenting our productivity and creativity in new ways, while also being fueled by massive amounts of enterprise data and human intelligence. Join Swami Sivasubramanian, Vice President of Data and AI at AWS, to discover how you can use your company data to build differentiated generative AI applications and accelerate productivity for employees across your organization. Also hear from customer speakers with real-world examples of how they’ve used their data to support their generative AI use cases and create new experiences for their customers. 

Keynote Session 4:  Ruba Borno | Wednesday, November 29 | 3:00 PM – 4:30 PM (PST) 

Join the AWS Partner Keynote, presented by Ruba Borno, Vice President of AWS Worldwide Channels and Alliances, as she delves into the world of strategic partnerships to show how AWS and AWS Partners are achieving impossible firsts, helping customers reimagine their business models and drive business outcomes. Hear from partners and customers about how they’re utilizing AWS to develop industry-changing solutions. Learn how we work together across industries and geographies to provide innovative solutions, robust customer opportunities, and tailored content and programs that drive collective prosperity. Discover how AWS is improving the digital experience for partners and connecting them with higher-value opportunities and longer-term success. 

Keynote Session 5:  Dr. Werner Vogels | Thursday, November 30 | 8:30 AM – 10:30 AM (PST) 

Join Dr. Werner Vogels,’s VP and CTO, for his twelfth re:Invent appearance. In his keynote, he covers best practices for designing resilient and cost-aware architectures. He also discusses why artificial intelligence is something every builder must consider when developing systems and the impact this will have in our world. 

Allolankandy Anand – (Vice President | Digital Transformation & Strategy at Idexcel) and his team will be attending this event to meet with customers and partners. Schedule a meeting with Allolankandy Anand to discover how Idexcel can deliver strategic and innovative cloud solutions to achieve your organization’s business goals.