Deploy a Kubernetes Cluster Using Amazon EKS with New Quick Start

This Quick Start automatically deploys a Kubernetes cluster that uses Amazon Elastic Container Service for Kubernetes (Amazon EKS), enabling you to deploy, manage, and scale containerized applications running on Kubernetes on the Amazon Web Services (AWS) Cloud. The deployment takes about 25 minutes. 

Amazon Kinesis Data Firehose Announces Support for Custom Amazon S3 Prefixes

Amazon Kinesis Data Firehose today announced support for custom Amazon S3 prefixes allowing customers more flexibility when configuring S3 paths for data delivery. This new capability enables customers to simplify and accelerate ETL (Extract Transform Load) workflows and to enable data partitions for faster query performance.

Amazon RDS for Oracle Supports Oracle Application Express (APEX) Versions 18.1 and 18.2

Amazon RDS for Oracle now supports 18.1 and 18.2 versions of Oracle Application Express (APEX) for the Oracle Database versions 11.2, 12.1 and 12.2. Using APEX, developers can build applications entirely within their web browser.

For more details on supported APEX versions and how to add or modify APEX options for your RDS Oracle database, please refer to the Amazon RDS for Oracle Documentation.

Amazon RDS for Oracle makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. See Amazon RDS for Oracle Database Pricing for regional availability.

Amazon DocumentDB (with MongoDB compatibility) now supports database auditing with Amazon CloudWatch Logs

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Today, Amazon DocumentDB added support for auditing of database events. With auditing enabled, Amazon DocumentDB will record Data Definition Language (DDL), authentication, authorization, and user management events to Amazon CloudWatch Logs. You can use Amazon CloudWatch Logs to analyze, monitor, and archive your Amazon DocumentDB auditing events. For more information, please see

Amazon DocumentDB is generally available and you can use Amazon DocumentDB in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Ireland).

New AWS Digital Badges Unveiled to Showcase your AWS Certified Status

AWS has unveiled its newly redesigned AWS Certification digital badges. Digital badges are awarded to customers who successfully pass an AWS Certification exam and are just one of the many benefits available to help you showcase your AWS Certified status with colleagues and employers. Digital badges can be shared on Facebook, LinkedIn, Twitter, and other social media outlets, as well as used in email signatures to showcase your achievements.

AWS Certified individuals are now able to download new badges in their AWS Certification Account.


Amplify Framework Adds Support for Multiple Environments, Custom Resolvers, Larger Data Models, and IAM Roles Including MFA

The Amplify CLI, part of the Amplify Framework, now supports multiple environments and teams by offering a Git style workflow for creating and switching between environments for your Amplify project. When you work on a project within a team, you can create isolated backends per developer or alternatively share backends across developers, including to those outside your organization.

New support for IAM roles and MFA (Multi-Factor Authentication) enables customers to use an IAM role, with or without MFA enabled, and access AWS resources managed by the Amplify Framework. This helps enforce AWS security best practices and controls across your organization.

Custom resolvers for AWS AppSync enable you to write resolver logic and attach data sources such as Amazon DynamoDB tables, Amazon Elasticsearch Service domains, or HTTP endpoint that were provisioned independently of the Amplify GraphQL Transformer. This can be completely achieved without needing to go to the AppSync console or deploy your own CloudFormation stacks with a separate deployment process.

Customers can now add more than 150 models as a part of the GraphQL Transformer schema, up from 15 models in the previous version of the Amplify Framework. Custom resolvers can be defined directly from the local Amplify project and pushed up using this new functionality.

To learn more about Amplify Framework, please visit our documentation.