You can now use Amazon FSx for Lustre with applications that are subject to Service Organization Control (SOC) compliance. Amazon FSx for Lustre provides a high-performance file system that is integrated with Amazon S3 and optimized for data processing workloads like machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).

Amazon RDS for Oracle now supports the April 2019 Patch Set Updates (PSU) for Oracle Database 11.2 and 12.1, and April 2019 Release Update (RU) for Oracle Database 12.2.

You can now use cost allocation tags to manage your Amazon Simple Notification Service (SNS) costs. Cost allocation tags are key-value pairs that let you categorize SNS topics to easily identify their purpose and track associated costs. For example, you may use tags to identify the Amazon SNS topics for a particular department, project, or application.

You can now enforce password policies in your Amazon RDS for MySQL databases using the MySQL validate_password plugin. This improves the security of your databases by defining minimum password length, required characters, and other rules.

You can now use AWS Migration Hub to generate right-sized EC2 instances for running on-premises workloads in AWS.

Migration Hub provides a single place to discover your existing servers, plan migrations, and track the status of each application migration. This new feature analyzes data collected from each on-premises server, including server specification, CPU, and memory utilization, to recommend the least expensive EC2 instance required to run the on-premises workload. You can also fine-tune recommendations by specifying preferences for AWS purchasing option, AWS Region, EC2 instance type exclusions, and CPU/RAM utilization metric (average, peak, or percentile). The EC2 instance recommendations feature simplifies the migration process by eliminating the manual effort required to calculate right-sized EC2 instances when forecasting costs or planning migrations.

To get started, you need to ensure that on-premises server details are available in Migration Hub. To do this, you can either import existing server inventory information from a source such as a Content Management Database (CMDB), or use AWS Application Discovery Service to collect data directly from your environment. You can then export the right-sized EC2 instance recommendations from the Migration Hub, along with the associated instance prices.

Right-sizing your compute resources is one dimension of understanding your total cost of ownership (TCO). Use the EC2 instance recommendation feature of Migration Hub when you want an understanding of your projected EC2 costs. We also offer a more detailed assessment, including optimizations for Microsoft licensing and storage costs, using TSO Logic, an Amazon Web Services Company. Contact AWS Sales or an AWS Partner to learn more about this detailed assessment.

You can learn more about AWS Migration Hub and the EC2 instance recommendations feature here , or by reading the documentation .  

Amazon RDS Performance Insights, a database performance tuning and monitoring feature that makes it easy to diagnose and solve performance issues on Amazon Relational Database Services (RDS), now supports Amazon Aurora Global Database for the MySQL-compatible edition. Aurora Global Database allows a single Aurora database to span multiple AWS regions, with fast replication to enable low-latency global reads and disaster recovery from region-wide outages. In addtion to supporting Aurora Global Database, Performance Insights supports RDS for Oracle, RDS for MySQL, RDS for MariaDB, RDS for PostgreSQL, Aurora MySQL and Aurora PostgreSQL. For specific versions supported, visit the documentation .

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights and relationships in text. Starting today, Amazon Comprehend training and inference batch jobs now supports Amazon Virtual Private Cloud (VPC). With VPC support, your batch jobs and the AWS resources they access, such as the Amazon Simple Storage Service (S3) buckets can be made private within your network and not connected to the internet. This enhancement also enables you to monitor all network traffic in and out of your batch jobs, using VPC Flow Logs.

Amazon Comprehend batch jobs support for VPC is now available in all AWS regions where Amazon Comprehend is available. For additional information, please visit the documentation . 

Amazon Chime now lets you use custom chat bots in your chat rooms. Utilize the power of Amazon Lex, AWS Lambda, and other AWS services to build custom conversational interfaces that streamline collaborative workflows, enabling users to complete common tasks involving multiple tools without switching context. The bots you create may enable users to query for information from your internal knowledge stores, automate tasks, receive notifications for critical issues, create support tickets, or perform any number of tasks you make available.

Adding bots to your enterprise Chime account is as simple as providing a bot name and an HTTPS endpoint or by integrating directly with AWS Lambda. Once added to your Chime account, room administrators can add your bot using the bot’s assigned email address, and room members interact with the bot through @ mentions.

For a list of regions where Amazon Chime is available, see the AWS Region Table . To get started on your first chat bot integration, read our guide. To learn more about Amazon Chime, visit the Amazon Chime website .

The AWS Deep Learning AMIs for Ubuntu , Amazon Linux , and Amazon Linux 2  now come with newer versions of the following deep learning frameworks: PyTorch 1.1  and Chainer 5.4 . PyTorch 1.1 brings native TensorBoard support for model visualization and debugging, improvements to just-in-time (JIT) compiler, and better support for model parallelism in distributed training. This release also upgrades the NVIDIA driver to 418.40.04, Horovod to 0.16.1, and adds support for CUDA 10 in Apache MXNet environments.

Amazon Connect Service Delivery Partners help companies improve customer experience and outcomes through Amazon Connect, a self-service, cloud-based contact center service. Amazon Connect Service Delivery Partners, deliver customer success by choosing the best approach for the design and implementation of contact center solutions that are optimized for cost, reliability, security, performance, and scalability.

Amazon Connect can help you realize significant capital and operational savings for your contact center team. It provides you the opportunity to focus away from high availability operations, and instead, focus on continuous innovation in your contact center to drive greater customer experience.

The Amazon Connect Service Delivery Program identifies and endorses APN Partners globally with customer experience and a deep understanding of Amazon Connect.

Learn more about the Amazon Connect Partners >>