Amazon Aurora PostgreSQL-Compatible Edition now supports the HypoPG extension for creating hypothetical indexes, which lets you test the performance impact of an index on query plans before you build it.

Amazon Aurora PostgreSQL-Compatible Edition now supports the h3-pg extension , which provides an API to H3, an open-source hexagonal, hierarchical geospatial indexing system. With this extension, you can perform different kinds of spatial analysis over large datasets, including efficient indexing and lookups, modeling flow through a grid, and applying machine learning models over your geospatial data stored in Aurora PostgreSQL.

Amazon RDS for Db2 now supports memory optimized X2iedn DB instances that are well-suited for memory-intensive, read-heavy and high-throughput write operations.

Today, AWS announces the general availability of Amazon CloudWatch Network Monitor, as a new feature of Amazon CloudWatch that helps monitor network availability and performance between AWS and your on-premises environments.

Today, Amazon CloudWatch alarms support AWS Lambda functions as an alarm state change action. Customers can now choose to invoke a Lambda function directly when a CloudWatch alarm changes to an OK, ALARM or INSUFFICIENT_DATA state. This makes it easier for customers to automate custom actions on alarm state changes.

AWS Neuron is the SDK for Amazon EC2 Inferentia and Trainium based instances purpose-built for generative AI. Today, with Neuron 2.16 release , we are announcing support for Llama-2 70b model inference on Inf2 instances. 

In the Amazon Connect agent workspace, customers can now use information from the current contact, such as the customer’s phone number, to automatically look up data or take certain actions in a third-party application. For example, when the contact comes in, the agent could see a list of the current customer’s orders in a third-party agent workspace app without needing to do manual searches. This feature helps automate data entry and reduce mistakes, decreasing average handle time and improving customer satisfaction.

Starting today, you can build, train, and deploy machine learning (ML) models in Canada West (Calgary) Region.

Amazon Connect now provides the ability to create and use agent proficiencies for routing a contact to the best available agent in a queue. Each proficiency indicates an agent’s level of expertise in an attribute such as language fluency, skillset, or customer issue types they support. Using agent proficiencies, you can create custom routing requirements so that each customer contact is matched to the available agent best able to drive your desired business outcome. You can also create a series of timed routing steps, so that if your targeted set of agents is not available, you can progressively expand routing to target a wider pool of agents to find the best match. For example, you can set routing criteria where a customer with credit card and auto loans issues can talk to a specialist in both credit card and auto loans (e.g., credit card level 4+ and auto loans 4+). If a match is not found in sufficient time, you can relax the credit card requirement and ensure the matching agent can support the customer’s priority of auto loans (e.g., auto loans 4+).

AWS Launch Wizard now allows you to automate deployment of single-node SAP NetWeaver-based applications running on SAP ASE databases in addition to SAP HANA. Additionally, you can now choose to configure EC2 instances deployed through Launch Wizard with additional Virtual IP/Hostnames. SUSE Linux Enterprise Server (SLES)15 SP5; SLES for SAP 15 SP5, and Red Hat Enterprise Linux (RHEL) 8.8 and RHEL 9.0 are now also supported by Launch Wizard for ASE and HANA deployments.