Starting today, customers can view AWS CloudTrail event logs of a change request using AWS Systems Manager Change Manager . The feature helps customers understand which resources were impacted by the change request which provides customers with more visibility into the change request process. Change Manager already helps customers request, approve, implement, and report on operational changes to their application configuration and infrastructure on AWS and on-premises. With this launch, customers can now get the CloudTrail events associated with the change requests within the Change Manager console which offers them more visibility into their changes. For example, if a change was made to restart an EC2 instance, customers can now see which instances were actually impacted as part of the execution and the APIs that were invoked.
AWS Cost Management introduces 1-click experience to refresh Savings Plans Recommendations
AWS Cost Management now offers a 1-click experience to refresh Savings Plans Recommendations, so you can generate new Savings Plans Recommendations at any time to reduce costs and accelerate your cloud optimization journey. Savings Plans is a flexible pricing model offering lower prices compared to On-Demand pricing, in exchange for a specific usage commitment (measured in $/hour) for a one or three-year period.
Amazon SageMaker Data Wrangler now supports Amazon EMR Presto as a big data query engine
Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Starting today, you can connect to Amazon EMR Presto as a big query engine to bring in very large dataset, and prepare data for ML in minutes in Data Wrangler visual interactive.
Amazon QuickSight supports billion-row dataset with SPICE
Amazon QuickSight now supports even larger SPICE datasets on the Enterprise Edition. Today, all new SPICE datasets can accommodate up to 1 billion rows (or 1TB) of data in the Enterprise Edition and 25 million rows (or 25GB) for Standard Edition. Before the launch, each SPICE dataset could hold up to 500 million rows and 500GB of data. Customers who want to use QuickSight’s rich visualizations to explore very large datasets had to rely on data engineers to manually orchestrate data between QuickSight and another data store, which made it challenging to access and analyze very large datasets quickly. With billion-row support in SPICE, it’s easier to connect to data stores and ingest data into SPICE. Users now have greater autonomy to visually analyze large datasets directly in QuickSight, without coordinating with engineering teams to manually orchestrate data among services. See here for details.
AWS Cost Anomaly Detection adds account name and other important details to its alert notifications
We are pleased to announce that as of today, customers will see additional details in AWS Cost Anomaly Detection’s console, alerting emails, and SNS topics posted to Slack and Chime. AWS Cost Anomaly Detection is a cost management service that leverages advanced machine learning to identify anomalous spend and root causes, so customers can quickly take action to avoid runaway spend and bill shocks. With this launch, customer can spend less effort trying to understand what account and monitor is tied to a cost anomaly, which in turn helps them take necessary actions more quickly.
AWS IoT TwinMaker launches asset synchronization with AWS IoT SiteWise
Starting today, AWS IoT TwinMaker will support asset synchronization with AWS IoT SiteWise, making it easier for AWS IoT SiteWise customers to bring their assets and asset models into AWS IoT TwinMaker.
Amazon EC2 Auto Scaling now supports Metric Math for Target Tracking Policies
EC2 Auto Scaling customers can now use Amazon CloudWatch Metric Math to customize the metrics they use with Target Tracking policy without actually having to publish and pay for customized metrics. Customers can use both arithmetic operators (such as +, -, /, and *) and mathematical functions (such as Sum and Average) to easily create custom metrics based on existing CloudWatch metrics. Target Tracking, like other EC2 Auto Scaling policies, helps customers maintain high availability while reducing costs by auto scaling their environments to meet changing demand. Specifically, Target Tracking works like a thermostat: it constantly changes the capacity of an Auto Scaling group to maintain the specified metric at a customer-defined target level. Today’s release makes it easier and cheaper to configure Target Tracking with custom metrics.
The Arms Trade
U.S. companies dominate the arms manufacturing industry, though two Chinese companies – Norinco and AVIC – made it into the top eight last year with combined arms sales of over $40 billion last year. According to Stockholm International Peace Research Institute (SIPRI), arms sales of the world’s largest 100 arms-producing companies grew by 1.9% to …
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What caught your eye this week? (National Curriculum, Quantum attacks, Square Kilometre Array)
The Electronics Weekly team share some fingerposts – their picks of the week, in terms of announcements, developments, product releases, quotes or anything else in the wide world of electronics that caught their eye… David Manners, components editor Shortages of engineers prompted the IET to suggest that some engineering content should be injected unto the …
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Fable: Great Scot
Next year is the 200th anniversary of the death of a Scotsman who invented the line, area and bar chart, the circle chart and the pie chart, who worked for James Watt, took part in the storming of the Bastille, spied on the French for the British government during the French Revolution, organised a counterfeiting operation …
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