Amazon Web Services News

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  New – AWS Systems Manager Consolidates Application Management
  • giraffelife  

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  A desire for consolidated, and simplified operational oversight isn’t limited to just cloud infrastructure. Increasingly, customers ask us for a “single pane of glass” approach for also monitoring and managing their application portfolios. These customers tell us that detection and investigation of application issues takes additional time and effort, due to the typical use of […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/-mBRgIsI29Q/
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  New – AWS Systems Manager Fleet Manager
  • giraffelife  

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  Organizations, and their systems administrators, routinely face challenges in managing increasingly diverse portfolios of IT infrastructure across cloud and on-premises environments. Different tools, consoles, services, operating systems, procedures, and vendors all contribute to complicate relatively common, and related, management tasks. As workloads are modernized to adopt Linux and open-source software, those same systems administrators, who […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/XwMq9hLUWCQ/
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  Introducing AWS Systems Manager Change Manager
  • giraffelife  

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  Because you are constantly listening to the feedback from your customer, you are iterating, innovating, and improving your applications and infrastructures. You continually modify your IT systems in the cloud. And let’s face it, changing something in a working system risks breaking things or introducing side effects that are sometimes unpredictable; it doesn’t matter how […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/PAPFR5nYVKE/
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  AWS CloudShell – Command-Line Access to AWS Resources
  • giraffelife  

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  No matter how much automation you have built, no matter how great you are at practicing Infrastructure as Code (IAC), and no matter how successfully you have transitioned from pets to cattle, you sometimes need to interact with your AWS resources at the command line. You might need to check or adjust a configuration file, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/TVkuv87bpPs/
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  re:Invent 2020 Liveblog: Werner Vogels Keynote
  • giraffelife  

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  Join us Tuesday, Dec. 15 for Dr. Werner Vogels’ Keynote as he shares how Amazon is solving today’s hardest technology problems. Jeff Barr, Martin Beeby, Steve Roberts and Channy Yun will liveblog the event, sharing all the highlights, insights and major announcements from this final keynote of re:Invent 2020. See you here Tuesday, 7:30-10:00 AM […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/FPpWQC9pljU/
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  New – VPC Reachability Analyzer
  • giraffelife  

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  With Amazon Virtual Private Cloud (VPC), you can launch a logically isolated customer-specific virtual network on the AWS Cloud. As customers expand their footprint on the cloud and deploy increasingly complex network architectures, it can take longer to resolve network connectivity issues caused by misconfiguration. Today, we are happy to announce VPC Reachability Analyzer, a […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/lY2HCmNyg3Y/
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  re:Invent 2020 Liveblog: Infrastructure Keynote
  • giraffelife  

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  Join us Thursday, Dec. 10 from 7:30-9:30 AM (PST) as we liveblog the AWS re:Invent Infrastructure Keynote with Peter DeSantis, senior vice president of AWS Global Infrastructure and Customer Support. AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts will follow all the action with updates and insights as the event […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/Rb-SG1_f7QM/
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  New – Amazon EMR on Amazon Elastic Kubernetes Service (EKS)
  • giraffelife  

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  Tens of thousands of customers use Amazon EMR to run big data analytics applications on frameworks such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto at scale. EMR automates the provisioning and scaling of these frameworks and optimizes performance with a wide range of EC2 instance types to meet price and performance requirements. Customer […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/qpWiiK7SjEg/
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  PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator
  • giraffelife  

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  I first wrote about Amazon Braket last year and invited you to Get Started with Quantum Computing! Since that launch we have continued to push forward, and have added several important & powerful new features to Amazon Braket: August 2020 – General Availability of Amazon Braket with access to quantum computing hardware from D-Wave, IonQ, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/nYnS1Jd-iW0/
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  New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling
  • giraffelife  

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  Amazon CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/uSAMRy0XHow/
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  AWS Audit Manager Simplifies Audit Preparation
  • giraffelife  

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  Gathering evidence in a timely manner to support an audit can be a significant challenge due to manual, error-prone, and sometimes, distributed processes. If your business is subject to compliance requirements, preparing for an audit can cause significant lost productivity and disruption as a result. You might also have trouble applying traditional audit practices, which […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/NZdDBBf6QNM/
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  Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions
  • giraffelife  

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  Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/QkwfiepEMnI/
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  New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects
  • giraffelife  

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  Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/2vzvUxqt1aM/
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  Introducing Amazon SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning
  • giraffelife  

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  Today, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/cRD8dXhc0Gc/
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  New – Store, Discover, and Share Machine Learning Features with Amazon SageMaker Feature Store
  • giraffelife  

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  Today, I’m extremely happy to announce Amazon SageMaker Feature Store, a new capability of Amazon SageMaker that makes it easy for data scientists and machine learning engineers to securely store, discover and share curated data used in training and prediction workflows. For all the importance of selecting the right algorithm to train machine learning (ML) […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/rdbYYcQ7KXY/
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  Amazon HealthLake Stores, Transforms, and Analyzes Health Data in the Cloud
  • giraffelife  

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  Healthcare organizations collect vast amounts of patient information every day, from family history and clinical observations to diagnoses and medications. They use all this data to try to compile a complete picture of a patient’s health information in order to provide better healthcare services. Currently, this data is distributed across various systems (electronic medical records, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/LDsYfzIH4lU/
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  Preview: Amazon Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business
  • giraffelife  

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  We are excited to announce Amazon Lookout for Metrics, a new service that uses machine learning (ML) to detect anomalies in your metrics, helping you proactively monitor the health of your business, diagnose issues, and find opportunities quickly – with no ML experience required. Lookout for Metrics uses the same technology used by Amazon to […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/NZ0tQxBkYjI/
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  Amazon SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices
  • giraffelife  

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  Today, I’m extremely happy to announce Amazon SageMaker Edge Manager, a new capability of Amazon SageMaker that makes it easier to optimize, secure, monitor, and maintain machine learning models on a fleet of edge devices. Edge computing is certainly one of the most exciting developments in information technology. Indeed, thanks to continued advances in compute, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/g9y2R1-8DV4/
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  New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models
  • giraffelife  

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  Today, I’m extremely happy to announce Amazon SageMaker Clarify, a new capability of Amazon SageMaker that helps customers detect bias in machine learning (ML) models, and increase transparency by helping explain model behavior to stakeholders and customers. As ML models are built by training algorithms that learn statistical patterns present in datasets, several questions immediately […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/MSFZkgCQSeg/
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  New – Profile Your Machine Learning Training Jobs With Amazon SageMaker Debugger
  • giraffelife  

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  Today, I’m extremely happy to announce that Amazon SageMaker Debugger can now profile machine learning models, making it much easier to identify and fix training issues caused by hardware resource usage. Despite its impressive performance on a wide range of business problems, machine learning (ML) remains a bit of a mysterious topic. Getting things right […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/ByH8ws-4tAo/