Today, we are excited to announce additional capabilities with Amazon CodeGuru Reviewer to help you find and remediate security issues in your code before you deploy. CodeGuru Reviewer Security Detectors helps identify security risks from the top ten Open Web Application Security Project (OWASP) categories (OWASP is a standard awareness document for developers and web application security), security best practices for AWS APIs, and common Java crypto libraries.

AWS Lambda customers can now provision Lambda functions with a maximum of 10,240 MB (10 GB) of memory, a more than 3x increase compared to the previous limit of 3,008 MB. This helps workloads like batch, extract, transform, load (ETL) jobs, and media processing applications perform memory intensive operations at scale.

AQUA (Advanced Query Accelerator) for Amazon Redshift is available in preview. AQUA provides a new distributed and hardware accelerated cache that brings compute to the storage layer for Amazon Redshift and delivers up to 10x faster query performance than other cloud data warehouses.

Amazon Connect Voice ID (available in preview) provides real-time caller authentication that makes voice interactions in contact centers more secure and efficient. Voice ID provides an additional security layer that doesn’t rely on the caller answering multiple questions (such as birthdate and mother’s maiden name) and makes it easy to enroll and verify customers without changing the natural flow of the conversation.

Amazon DevOps Guru is a new machine learning (ML) powered service that gives you a simpler way to measure and improve an application’s operational performance and availability and reduce expensive downtime – no machine learning expertise required. 

Amazon Connect Wisdom uses machine learning (ML) to drastically reduce the time agents spend searching for answers. Today, knowledge articles, wikis, and FAQs are spread across separate repositories and siloes. Agents lose a lot of time trying to navigate all those databases, and in the meantime, the customer waits for the answer. With Amazon Connect Wisdom, agents use ML to search across connected repositories based on phrases and questions exactly as the customer would ask them to find answers quickly. Wisdom connects to relevant knowledge repositories with built-in connectors for third-party applications like Salesforce and ServiceNow, or other internal knowledge stores to aggregate information such as frequently asked questions (FAQs), wikis, documents, and help guides.

AWS Panorama is a new machine learning Appliance and SDK, both of which allow organizations to bring computer vision to their on-premises cameras to make automated predictions with high accuracy and low latency. With AWS Panorama, companies can use compute power at the edge (without requiring video streamed to the cloud) to improve their operations, by automating monitoring and visual inspection tasks like evaluating manufacturing quality, finding bottlenecks in industrial processes, and assessing worker safety within their facilities. 

You now can use Amazon DynamoDB as a source data store with AWS Glue Elastic Views to combine and replicate data across multiple data stores—without having to write custom code. With AWS Glue Elastic Views, you can use Structured Query Language (SQL) to quickly create a virtual table—called a view—from multiple source data stores. Based on this view, AWS Glue Elastic Views copies data from each source data store and creates a replica—called a materialized view—in a target data store. AWS Glue Elastic Views monitors continuously for changes to data in your source data stores, and provides updates to your target data stores automatically, ensuring that data accessed through the materialized view is always up to date.

Amazon QuickSight Enterprise Edition now provides a new session capacity-based pricing model with scalable pricing for large-scale deployments. Session capacity pricing allows developers, independent software vendors (ISVs), and enterprises to benefit from lower per-session rates as they roll out embedded analytics and BI to hundreds of thousands of users. In such scenarios, average session consumption per user is often low (<10 sessions/month) but aggregate session usage across users is high. With session capacity pricing, users are simply charged in 30 minute blocks of usage starting with first access. You can get started with session capacity pricing at $250/month for 500 sessions. Annual session capacities (starting at $20,000/year for 50,000 sessions) offer packs of sessions available across a 12-month period, providing flexibility across production ramp periods, and busy/lean periods of the year (e.g., first/last week of the month, holidays).

Amazon S3 Bucket Keys reduce the request costs of Amazon S3 server-side encryption (SSE) with AWS Key Management Service (KMS) by up to 99% by decreasing the request traffic from S3 to KMS. With a few clicks in AWS Management Console and no changes to your client applications, you can configure your buckets to use an S3 Bucket Key for KMS-based encryption on new objects.