AWS App Mesh is a service mesh that provides application-level networking to standardize how your services communicate, giving you end-to-end visibility and enables options to tune for high-availability of your applications. App Mesh has now increased the default limits for a set of resources – virtual nodes, and virtual gateways. These limit increases make it […]

Starting today Amazon Relational Database Service (RDS) for Oracle supports the creation of Oracle Data Guard physical standby DB instances which run in mount mode, which fully manage the configuration of Oracle Data Guard, and asynchronously replicates data over secured network connections between a primary DB instance and its physical standby mounted DB replicas. Amazon […]

AWS CloudFormation now supports increased limits on five service quotas – template size, resources, parameters, mappings, and outputs. The maximum size of a template that can be passed in an S3 Object is now 1MB (previously 450KB). The new per template limits for the maximum number of resources is 500 (previously 200), parameters is 200 […]

Today, Amazon AppStream 2.0 adds a new instance size to the General Purpose instance family. This new instance size, stream.standard.small, offers 1 vCPU and 2 GiB of memory. It is ideally suited for streaming lightweight, non-graphics applications such as browsers for secure web browsing and bastion host administration tools, and applications that are not resource […]

AWS Step Functions is now integrated with Amazon Athena, an interactive query service, allowing you to build workflows that queries data on your S3 data lake. AWS Step Functions support built-in error handling, parameter passing, recommended security settings, and state management, reducing the amount of code you have to write and maintain. Read More for […]

You can now launch Apache ActiveMQ 5.15.13 brokers on Amazon MQ. This patch update to ActiveMQ contains several fixes and new features compared to the previously supported version, ActiveMQ 5.15.12.  Read More for the details.

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. Starting today, AWS customers can leverage Kendra’s intelligent search capabilities across a broader range of content repositories by using Kendra’s custom data source feature.   Read More for the details.

Amazon SageMaker is now available in the Africa (Cape Town) and Europe (Milan) AWS regions. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process […]