AWS Podcast

Having a clear vision about the IoT solution needed to keep clean water flowing for millions of people was a big step forward for non-profit, charity:water. Of course, the execution turned out to be challenging. Charity:water first tried collaborating with leading IoT sensor manufacturers to get existing technology tailored to its specific use case, which is monitoring hand pump functionality in real-time, across remote communities. When that didn’t work, charity:water had the gumption to try to develop the solution themselves. But the org faced frustration and stalls before finding the right partner. With AWS Partner Twisthink, charity:water found a true collaborator that recognized its core business is a vital mission.Together, they developed an IoT sensor built on AWS that allows real-time monitoring of remote wells around the world, slashing repair time by years. Listen to the podcast to hear about the development process and learn about the IoT roadmap to reshape the approach to meeting the global clean water crisis. Check out the solution and contribute: https://github.com/charitywater/afridev2-sensor Get help developing your own IoT solution: https://aws.amazon.com/iot/

Big data and analytics play a critical role in every organization’s digital transformation. For many customers, it’s the first initiative they embark on to accelerate time to insight and pace of innovation for their business. Today, Simon is joined by Roy Hasson, Sr. Manager WW Analytics Specialist, to talk about how customers can modernize on-premises, self-managed Apache Hadoop environments running Apache Hive and Apache Spark using Amazon EMR - a fully managed, easy to use, unified analytics platform to run your Hive, Spark, Presto and other big data and ML workloads. They also discuss the EMR Migration Program, developed to help customers quickly modernize their on-premises, self-managed Hadoop environments.

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