Latest News

11Apr 2016

You can now configure AWS IoT Rules to route device-generated data directly to Amazon Machine Learning, enabling you to create machine learning (ML) models without having to learn complex ML algorithms and technology. With Amazon Machine Learning integration, you will be able to generate billions of predictions daily, and serve those predictions in real-time and at high throughput. 

10Apr 2016

You now have the ability to quickly and easily create new Amazon Redshift datasources in Amazon Machine Learning (Amazon ML) by copying settings from an existing Amazon Redshift datasource. A new option on the Amazon ML console allows you to select an existing Redshift datasource to copy the Redshift cluster name, database name, IAM role, SQL query and staging data location, to automatically populate these fields in the Create Datasource wizard. You can modify the settings before the new datasource is created, for example, to change the SQL query, or to specify a different IAM role to access the cluster.

10Apr 2016

We are pleased to announce that the AWS Schema Conversion Tool now supports conversions between two popular open source engines: MySQL and PostgreSQL. Conversions can be run in either direction and using any MySQL compatible engine including Amazon’s next generation cloud database, Aurora. This release builds upon existing support for conversions from Oracle and SQL Server to PostgreSQL and MySQL. SCT now includes further improvements in conversion rules between all engines and a revised assessment report. 

10Apr 2016

AWS IoT now offers APIs to register and use security certificates signed by your Certificate Authority (CA) as an alternative to using certificates that were generated by AWS IoT. This allows your connected devices with existing or new certificates signed by your signing certificate seamless access to AWS IoT.

To learn more about the service, visit the AWS IoT documentation.

10Apr 2016

A new set of of review, guidance and reporting activities have been formalized to help customers prepare, manage, and optimize their cloud operations. Included with the Enterprise support plan, Operations Support enables customers to work with their Technical Account Manager to gain:

  • Operational insight: Operations assessments and analysis to identify gaps across the operations lifecycle, as well as recommendations based on best practices.
  • Event Reporting: Detailed reporting on customer-impacting events, including AWS remediation steps and recommended customer actions to help mitigate future risk.
07Apr 2016

Amazon RDS for PostgreSQL now supports major version 9.5, which contains several new features including UPSERT capability, Row Level Security (RLS) and several Big Data capabilities. In addition to supporting the new major version of PostgreSQL, 9.5, RDS for PostgreSQL also supports new minor versions 9.4.7 and 9.3.12, which contain several enhancements and fixes. All three versions are available to use starting today.

07Apr 2016

You can now select from two additional deployment policies, immutable and rolling with additional batch, when deploying application code using AWS Elastic Beanstalk. This is in addition to the two existing deployment policies that Elastic Beanstalk currently supports (i.e. rolling, all at once). You can now select one of these four deployment policies when updating your applications. Elastic Beanstalk also lets you perform DNS-based blue/green updates in addition to the four deployment policies.

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