We are excited to announce regular expression support for Amazon CloudWatch Logs Live Tail filter pattern syntax, making it easier to search and match relevant log events. Customers use filter pattern syntax today in metric filters and subscription filters, and Live Tail’s addition is further enhancing their experience. With today’s launch, customers will be able to customize their filtering to meet their needs with flexible and powerful regular expressions within Live Tail filter patterns. Now customers can define one filter to match multiple IP subnets or HTTP status codes using a regular expression such as ‘{ $.statusCode=%4[0-9]{2}% }’ rather than having to define multiple filters to find exactly what they are looking for in their logs.
AWS Compute Optimizer now supports 24 new EC2 instance types and 7 additional AWS regions
AWS Compute Optimizer now supports recommendations for the latest generation C7a and R7a Amazon Elastic Compute Cloud (EC2) instance types, powered by 4th Gen AMD EPYC processors (code-named Genoa). Additionally, AWS Compute Optimizer is now generally available in Asia Pacific (Jakarta), Middle East (UAE), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), and Israel (Tel Aviv).
AWS Lambda console now features a single pane view of metrics, logs, and traces
AWS Lambda launches a single pane view of metrics, logs, and traces in the Lambda console, making it easy for you to monitor and troubleshoot your Lambda functions.
Cohere’s Command Light, Embed English, and multilingual models now available in Amazon Bedrock
You can now access Cohere Command Light, Cohere Embed English, and Cohere Embed multilingual models in Amazon Bedrock. Command is Cohere’s flagship text generation model and is trained to follow user commands and to be useful in business applications. Cohere Embed offers a set of models trained to produce high-quality embeddings from text documents.
Llama 2 Chat 13B foundation model from Meta is now available in Amazon Bedrock
You can now access Meta’s Llama 2 Chat model (13B) in Amazon Bedrock. Llama 2 models are next generation large language models (LLM) provided by Meta. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Meta, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.
AWS launches a new Local Zone in Dallas, Texas
Today, AWS announces the general availability of a new Local Zone in Dallas, Texas. This new AWS Local Zone comes with Amazon EC2 C6i, M6i, R6i, C6gn, and M6g instances and Amazon EBS volume types gp2, gp3, io1, sc1, and st1. You can also access Amazon ECS, Amazon EKS, Application Load Balancer, and AWS Direct Connect in this new Local Zone to support a broad set of workloads at the edge.
AWS Elastic Load Balancing introduces IAM condition keys for encryption and access controls
You can now use Elastic Load Balancing (ELB) service-specific condition keys in IAM policies to restrict configurations for Transport Layer Security (TLS) Policy and IP based access. This enhancement enforces users in your account follow standards you have put in place for load balancer configurations.
Amazon Elastic Container Service now supports idempotency for task launches
Amazon Elastic Container Service (Amazon ECS) now supports idempotency for task launches, allowing you to safely retry task launches without side effects. This feature helps ensure that timeouts or connection errors do not result in the launch of more instances than you originally intended, saving you time and money.
Amazon MSK Serverless now supports all programming languages
Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless now supports writes and reads from Kafka clients written in all programming languages. Administrators can simplify and standardize access control to Kafka resources using AWS Identity and Access Management (IAM). Amazon MSK’s IAM support is based on SASL/OAUTHBEARER, an open standard for authorization and authentication. Amazon MSK Serverless is a cluster type for Amazon MSK that allows you to run Apache Kafka without having to manage and scale cluster capacity. MSK Serverless automatically provisions and scales compute and storage resources, so you can use Apache Kafka on demand.
Amazon MSK extends AWS IAM support to all programming languages for new clusters
Amazon Managed Streaming for Apache Kafka (Amazon MSK)’s Identity and and Access Management feature now supports all programming languages. Administrators can simplify and standardize access control to Kafka resources using AWS Identity and Access Management (IAM). Amazon MSK’s IAM support is based on SASL/OAUTHBEARER, an open standard for authorization and authentication. Both MSK Provisioned and Serverless cluster types support the new MSK IAM expansion to all programming languages.