Today, Amazon QuickSight is announcing the general availability of a native Google BigQuery connector that lets customers connect to Google BigQuery directly from Amazon QuickSight in a few simple steps. The launch provides QuickSight’s SPICE (Super-fast, Parallel, In-memory Calculation Engine) support to quickly perform analyses on large datasets.

Announcing general availability of two new capabilities to enhance monitoring and debugging of AWS Glue jobs: AWS Glue serverless Apache Spark UI and AWS Glue observability metrics. AWS Glue serverless Spark UI is a new capability that enables you to get detailed information about your AWS Glue Spark jobs. This launch allows you to see the details of any AWS Glue Spark job run in AWS Glue Studio. With AWS Glue serverless Spark UI, you can get information about scheduler stages, tasks, and executors. AWS Glue observability metrics provide additional insights into job reliability, performance, throughput and resource utilization. These two new capabilities enables you to debug common error classes with root cause, analyze aggregate worker performance, and monitor data skews in your Glue jobs.

We’re excited to announce new capabilities for the Amazon Connect Customer Profiles Flows block that make it easier to personalize automated experiences such as IVRs using the drag and drop Flows editor. You can now access more customer information, including orders, cases, assets, custom attributes, and calculated attributes through the Flow block. For example, you can retrieve customer information such as loyalty status to route loyalty reward members to shorter queues or retrieve details about their last purchase to provide self-service refund options. Additionally, you can now streamline the authentication process by prompting customers to enter their personal identifiers such as birthdate and use the Customer Profiles block to find the right profile and instantly associate the profile with that contact without a single line of code. 

AWS Amplify Hosting is excited to announce the general availability of a new deployment specification that enables developers to build plugins for hosting server-side rendering (SSR) applications on Amplify. Leveraging this new feature, we have partnered with the Nuxt team to add built-in support for Nuxt SSR deployments on Amplify Hosting. This specification is available in the built-in deployment preset within the Nitro.js server that powers Nuxt, which extends support to any framework built on Nitro.js.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now  supports major version 16, starting with PostgreSQL version 16.1. RDS for PostgreSQL 16.1 includes support for logical decoding on read replicas, logical replication from standbys, and over 90 PostgreSQL extensions such as pgactive, pgvector, pg_tle, h3-pg, pg_cron, and rdkit. PostgreSQL 16 introduces a number of performance and visibility improvements including greater query parallelism, SIMD CPU acceleration, and a ‘pg_stat_io’ view that provides statistics on I/O usage. Further, with PostgreSQL 16, developers can now use SQL/JSON constructors and identity functions.

Application Load Balancer (ALB) and Network Load Balancer(NLB) now support Transport Layer Security (TLS) policies that uses Federal Information Processing Standard (FIPS) 140-3 certified cryptographic modules to protect sensitive information. FIPS 140-3 is the latest technical standard for cryptographic modules from the U.S. and Canadian Federal governments. ALB/NLB uses AWS-Libcrypto, which is a FIPS 140-3 validated purpose built cryptographic module maintained by AWS that is secure and performant.

Today, AWS announces the preview of Amazon CodeWhisperer for command line. CodeWhisperer now helps developers be more productive in the command line with contextual CLI completions and AI natural-language-to-bash translation. 

Today, we are excited to announce that Amazon EMR has made it up to 35% faster, year on year, to launch an Amazon EMR on EC2 cluster. With these improvements, majority of the customer can launch their Amazon EMR on EC2 clusters in 5 mins or less. 

Amazon Verified Permissions now provides customers with a new visual schema editor, in addition to the existing JSON editor, in the Verified Permissions console. Customers can now visualize the relationships between the entities used to model principals, resources and actions.

AWS Lake Formation now allows customers to apply permissions on subfields of their nested tables using data filters. Permissions can be granted on more granular fields such as on particular columns inside of structs. Permissions on nested fields provide customers more fine grained permissions to better match their business needs with greater flexibility to how they structure their data.