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.

Today, Amazon Elastic Block Store (EBS) announced that io2 Block Express volumes are available on all EC2 instances built on the Nitro system . All new io2 volumes used with EC2 Nitro instances will automatically benefit from the latest generation of EBS storage server architecture designed to deliver consistent sub-millisecond latency and 99.999% durability. With a single io2 Block Express volume, customers can achieve 256,000 IOPS, 4GB/s of throughput, and storage capacity of 64 TiB. io2 Block Express has the lowest p99.9 I/O latency and the best outlier latency control among major cloud providers, making it the ideal choice for the most I/O-intensive, mission-critical deployments of SAP HANA, Oracle, Microsoft SQL Server, and IBM DB2.

Customers can now manage the lifecycle of their custom Amazon Machine Images (AMIs) and Container images created on EC2 Image Builder. Customers can save costs by deleting unused images that accumulate storage charges on AWS. You no longer have to keep track of their custom images distributed across AWS accounts and AWS regions, and manually retire them as the images become outdated. With this launch, we provide customers an automated way to identify and remove outdated images, avoiding accidental usage of those images. 

Today, we are excited to announce that Apache Flink is now generally available for Amazon EMR on EKS. With Apache Flink for Amazon EMR on EKS, customers can transform and analyze streaming data in real time with Apache Flink, an open-source framework for stateful computations over data streams. Amazon EMR on EKS is a deployment option for Amazon EMR that makes it easy for customers to run their big data applications and data lake analytics workloads on EKS. Customers already using Amazon EKS can run their Apache Flink application along with other types of applications on the same Amazon EKS cluster, helping improve resource utilization and simplify infrastructure management.