AWS Podcast

Simon introduces the piece first listener feedback! Plus some great updates. Leave audio feedback here: https://bit.ly/2MvZPOL Chapters 00:26 Audio Feedback 03:19 Analytics 05:28 Application Integration 06:31 Business Applications 06:55 Compute 09:18 Customer Engagement 09:54 Databases 12:00 Developer Tools 12:34 Internet of Things (IoT) 13:58 Machine Learning 14:21 Management & Governance 16:03 Media Services 16:39 Migration & Transfer 16:49 Mobile 17:31 Networking & Content Delivery Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/427ExtendedShownotes.html

Apache Cassandra is a wide-column, open-source database that developers use to store data for internet scale applications that require fast performance. However, managing Apache Cassandra can be complex and expensive. Today, Simon is joined by Arturo Hinojosa, Principal Product Manager for Amazon Keyspaces (for Apache Cassandra), AWS’s serverless, scalable, highly available, and managed Cassandra-compatible database service. They'll talk about how Amazon Keyspaces helps developers run their Cassandra workloads more easily. Read the blog: https://aws.amazon.com/blogs/aws/new-amazon-keyspaces-for-apache-cassandra-is-now-generally-available/ Learn more: https://aws.amazon.com/keyspaces/ Documentation: https://docs.aws.amazon.com/keyspaces/latest/devguide/what-is-keyspaces.html Getting Started: https://aws.amazon.com/keyspaces/getting-started/

Simon and Nicki cover some really interesting updates. Chapters 01:22 AWS Marketplace 01:53 Analytics 05:57 Application Integration 06:40 Block Chain 07:09 Business Applications 07:51 Compute 11:26 Customer Engagement 12:12 Databases 16:37 Developer Tools 17:42 Internet of Things (IoT) 19:05 Machine Learning 21:59 Management & Governance 28:30 Media Services 28:53 Networking & Content Delivery 31:27 Robotics 31:56 Security, Identity and Compliance 40:34 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/425ExtendedShownotes.html

Decreasing time to market and helping you create new products that fundamentally change the way you do business are two of the biggest business benefits of AWS. Customers such as consumer robotics maker iRobot and semiconductor maker MediaTek have slashed their development and testing times while reducing new product introduction risk. Listen to the podcast and learn how AWS can help you accelerate innovation. Learn more: https://aws.amazon.com/manufacturing/semiconductor-electronics/ Read the Blog: https://aws.amazon.com/blogs/industries/transform-new-product-introduction-npi-with-aws-to-reduce-cycle-times-and-increase-innovation-throughput/

In this episode, Simon is joined by Ryan Hayes (Solutions Developer, AWS) as he introduces AWS Solutions Constructs and discusses how it can help you build faster using multi-service architecture patterns paired with best practice defaults. Visit our website, GitHub and Docs pages for more information: https://aws.amazon.com/solutions/constructs https://github.com/awslabs/aws-solutions-constructs https://docs.aws.amazon.com/solutions/latest/constructs

Start identifying potential online fraud faster and easier with Amazon Fraud Detector. Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon to help customers detect common types of online fraud. Today Simon is joined by Chris Porter, Product Manager for Amazon Fraud Detector, to talk about this service. More information: https://aws.amazon.com/fraud-detector/ Read the Blog: https://aws.amazon.com/blogs/machine-learning/catching-fraud-faster-by-building-a-proof-of-concept-in-amazon-fraud-detector/ Tech Talk: https://www.youtube.com/watch?v=MNSq2G3V8wM Code Samples: https://github.com/aws-samples/aws-fraud-detector-samples

This week Simon is joined by Rodney Lester, Senior Solutions Architect, and Sireesha Muppala, Principle Solutions Architect. They'll provide a recap of the AWS well architected framework and introduce the Machine Learning lens white paper that provides guidance on building ML workloads on AWS. https://d1.awsstatic.com/whitepapers/architecture/wellarchitected-Machine-Learning-Lens.pdf

Simon takes you through more updates and new things to explore! Chapters: 01:03 AWS Marketplace, 01:43 Analytics, 12:03 Application Integration, 13:41 Block Chain, 14:06 Business Applications, 14:16 Compute, 17:37 Cost Management, 18:09 Customer Engagement, 18:33 Database, 20:46 Developer Tools, 22:07 End User Computing, 22:33 Game Tech, 22:50 Internet of Things (IoT), 25:33 Machine Learning, 26:39 Management & Governance, 31:43 Migration & Transfer, 32:10 Mobile, 32:47 Networking & Content Delivery, 37:14 Quantum Technologies, 37:36 Security, Identity and Compliance, 39:22 Storage Extended Shownotes: https://d29iemol7wxagg.cloudfront.net/420ExtendedShownotes.html

After migrating a thousand enterprises to AWS, we’ve learned a one-size-fits-all migration approach does not meet all workload needs. Specialized workloads that are mission critical to your business, such as SAP and databases, require migration expertise and a customized plan. But how to do that at-scale, without undue complexity for customers?

AWS helps leading industrial customers transform their business with the broadest set of cloud services and solutions, and an extensive partner network, while taking advantage of the highest standards for privacy and data security. Today Simon is joined by Kartik Dalal and Brant Swidler to learn more about how Amazon Monitron and Amazon Lookout for Equipment can help you solve challenging industrial problems using Machine Learning.