Amazon CodeGuru is a new machine learning service for development teams who want to automate code reviews, identify the most expensive lines of code in their applications, and receive intelligent recommendations on how to fix or improve their code. Even for the most seasoned engineers, it can be difficult to detect some types of code issues even through peer code reviews and unit testing. It can also be challenging to identify the most resource intensive code methods without needing performance engineering expertise. CodeGuru helps you catch code issues faster and earlier, and improve application performance. 

The new general purpose (M6g), compute optimized (C6g), and memory optimized (R6g) Amazon EC2 instances deliver up to 40% improved price/performance over current generation M5, C5, and R5 instances for a broad spectrum of workloads including application servers, open source databases, in-memory caches, microservices, gaming servers, electronic design automation, high-performance computing, and video encoding. These instances are powered by new AWS Graviton2 processors that use 64-bit Arm Neoverse cores and custom silicon designed by AWS, built using advanced 7 nanometer manufacturing technology. AWS Graviton2 processors deliver several performance optimizations over the first generation AWS Graviton processors such as 7x performance, 4x the number of compute cores, 2x larger private caches per core, 5x faster memory, and 2x faster floating-point performance per core. Additionally, they feature always-on fully encrypted DDR4 memory to further enhance security and 50% faster per core encryption performance. AWS Graviton2 processors also support custom hardware acceleration for compression workloads, and optimized instructions for faster CPU-based machine learning inference.

AWS Wavelength embeds AWS compute and storage services at the edge of telecommunications providers’ 5G networks, and provides seamless access to the breadth of AWS services in the region. AWS Wavelength enables you to build applications that serve mobile end-users and devices with single-digit millisecond latencies over 5G networks, like game and live video streaming, machine learning inference at the edge, and augmented and virtual reality.  

Amazon S3 Access Points is a new S3 feature that simplifies managing data access at scale for shared data sets on Amazon S3. With S3 Access Points, you can easily create hundreds of access points per bucket, each with a name and permissions customized for the application. This represents a new way of provisioning access to shared data sets. Whether creating an access point for data ingestion, transformation, restricted read access, or unrestricted access, using S3 Access Points simplifies the work of creating and maintaining access to shared S3 buckets.

Today we are announcing the general availability of AWS Outposts, a new fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any customer datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. AWS Outposts is ideal for workloads that need low latency access to on-premises applications or systems, local data processing, or for local data storage needs.

Amazon Managed Apache Cassandra Service is a scalable, highly available, and managed Apache Cassandra–compatible database service that enables you to run your Cassandra workloads in the AWS Cloud using the same Cassandra application code, Apache 2.0–licensed drivers, and tools that you use today.

You can now unload the result of an Amazon Redshift query to your Amazon S3 data lake as Apache Parquet , an efficient open columnar storage format for analytics. The Parquet format is up to 2x faster to unload and consumes up to 6x less storage in Amazon S3, compared to text formats. This enables you to save data transformation and enrichment you have done in Amazon Redshift into your Amazon S3 data lake in an open format. You can then analyze your data with Redshift Spectrum and other AWS services such as Amazon Athena, Amazon EMR, and Amazon SageMaker.

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.  

AWS Transit Gateway now enables you to centrally manage and monitor your global network across AWS and on premises, with network manager. Transit Gateway network manager reduces the operational complexity of managing networks across AWS Regions and remote locations.

AWS Transit Gateway now supports the ability to establish peering connections between Transit Gateways in different AWS Regions. Transit Gateway is a service that enables customers to connect thousands of Amazon Virtual Private Clouds (Amazon VPCs) and their on-premises networks using a single gateway. With AWS Transit Gateway, customers only have to create and manage a single connection from a central regional gateway to each Amazon VPC, on premises data center, or remote office across their networks.