Amazon SageMaker can now publish training metrics to Amazon CloudWatch in real-time. You can then use CloudWatch to query, monitor, and visualize your Amazon SageMaker training jobs.

Amazon SageMaker is now integrated with Apache Airflow for building and managing your machine learning workflows. With this integration, multiple SageMaker operators including model training, hyperparameter tuning, model deployment, and batch transform are now available with Airflow.

You can now launch R5 instance types when using Amazon RDS for Oracle . Amazon EC2 R5 instances are the next generation of the Amazon EC2 Memory Optimized instances.

AWS AppSync released today three new features for storing and syncing app data: Pipeline Resolvers, Delta Sync, and support for Aurora Serverless. 

Pipeline Resolvers allows you to break up resolvers (the code that runs in response to a network request) into multiple steps, share code across resolvers, and orchestrate calls requiring multiple data sources. These new capabilities unlock new scenarios for data aggregation and authorization in a GraphQL API. You can mix and match actions from any supported data source such as Amazon DynamoDB, AWS Lambda, or HTTP endpoints.

Delta Sync optimizes the end user experience when the device switches from offline to online, providing automatic network reconnection and synchronization of only changed database items to the client cache. This new SDK feature can be used with standard GraphQL queries against a single data source, or combined with the new Pipeline Resolvers to optimize your backend into a journal of changed events. Delta Sync is available for JavaScript, iOS, and Android client SDKs.

An Aurora Serverless Data Source is now built in, enabling you to access Aurora Serverless using GraphQL. This functionality leverages the new Aurora Serverless Data API to efficiently manage connections and allows customers to leverage a relational database within AppSync without using a Lambda function as the intermediary.

You can read more about these new features in the AppSync Developer Guide.

Amazon SageMaker has added several enhancements to the built-in TensorFlow and Chainer containers. These enhancements make it easier to run TensorFlow and Chainer scripts, while taking advantage of the capabilities Amazon SageMaker offers, including a library of high-performance algorithms, managed and distributed training with automatic model tuning, one-click deployment, and managed hosting.

AWS Auto Scaling automates capacity management for various AWS services, including Amazon EC2, by tracking capacity utilization. Now, you can use Predictive Scaling in AWS Auto Scaling to scale your Amazon EC2 capacity in advance of traffic changes. Auto Scaling enhanced with Predictive Scaling delivers faster, simpler, and more accurate capacity provisioning, resulting in lower cost and more responsive applications.

Predictive Scaling predicts future traffic based on daily and weekly trends, including regularly-occurring spikes, and provisions the right number of EC2 instances in advance of anticipated changes. Provisioning the capacity just in time for an impending load change makes Auto Scaling faster than ever before. Predictive Scaling’s machine learning algorithms detect changes in daily and weekly patterns, automatically adjusting their forecasts. This removes the need for manual adjustment of Auto Scaling parameters over time, making Auto Scaling simpler to configure and consume. Auto Scaling enhanced with Predictive Scaling delivers faster, simpler, and more accurate capacity provisioning to our customers.

Predictive Scaling can be configured through the AWS Auto Scaling console, AWS Auto Scaling APIs via SDK/CLI, and CloudFormation. To get started, navigate to AWS Auto Scaling page and create a scaling plan for Amazon EC2 resources that includes Predictive Scaling in 3 simple steps. Once enabled, customers can visualize their forecasted traffic and the generated scaling actions within a few seconds.

Predictive Scaling in AWS Auto Scaling is now available in US East (Ohio), US East (N. Virginia), US West (Oregon), EU (Ireland), and Asia Pacific (Singapore). Learn more about Predictive Scaling in this blog.  

At Electronica 2018, we caught up with Bob Bluhm, of Rohde & Schwarz, as part of our promotional coverage for the event.

This story continues at Electronica: Video Interview – Rohde & Schwarz on growing its product portfolio

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What a hoo-ha. The rancid Tory hatreds over Brexit . The ghastly opportunists trying to get personal advantage at the expense of the country. The idiot single-issue protagonists. It will be a fine thing when this is all over. But how will it end? Yesterday, The Times said: “It is in fact impossible to see …

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IXYS Integrated Circuits Division, now part of Little fuse, is in production  of the  CPC1984Y, a 600V, Normally Open Power SIP Relay, rated for up to 1A DC/1Arms continuous load current. The device uses optically coupled MOSFET technology to provide 4000Vrms of input-to-output isolation. The relay offers the best combination of load voltage and load current available …

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Xilinx has migrated its defence grade Ultra-Scale parts to 16nm. The parts include the XQ Zynq UltraScale+ MPSoCs and RFSoCs as well as XQ UltraScale+ Kintex and Virtex FPGAs. XQ UltraScale+ on16nm delivers twice the performance-per-watt of preceding-generation systems. This portfolio includes  Defense-grade heterogeneous multi-processor SoC devices, combining flexible and dynamically reconfigurable high-performance programmable logic …

This story continues at 16nm for def-stan Ultra-Scale SoCs

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