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https://github.com/AnanthaRajuC/Engineering-and-Business-Podcasts

Software Engineering and Business podcasts

A round-up of the latest AWS news, services and feature updates and expert tips for cloud enthusiasts, IT professionals and developers, delivered by AWS subject matter experts.

Episode 1 - Key announcements from AWS Summit Sydney 2016

In this episode, Dr Pete and Russ run through a round-up of the latest AWS updates, including: EC2 longer instance IDs, EC2 console screenshots, RDS Multi-AZ for SQL Server, RDS cross region replication for Aurora, the new EMR release including Apache Tez and Apache Phoenix, new high throughput EBS volume types and S3 Transfer Acceleration. They also take a closer look at the applications and benefits of resource tagging.

Episode 2 - Your Round-up of the Latest AWS News and Updates

Dr Pete and Russ deliver another rich round-up of recent AWS news. They cover India's recent AWS Region launch, the latest services and feature updates around EC2 with Elastic Network Adaptor, Run Command, Elastic File System (EFS), Python Serverless Microframework for AWS, as well as Mobile Hub, Lumberyard, Database Migration, Aurora and a whole lot more. They are also joined by a special guest from APAC Certification and Training,
Ash Willis. Ash joins our hosts to chat about honing your cloud skills, and best practice tips to get you started on your AWS certification journey. All this and more - be sure to tune in!

Episode 3 – A round-up of AWS updates, including launch of 35th AZ & AWS certification expert tips

A special guest joins Dr Pete and Russ in this episode, which is sure to excite the developers among you! Developer-at-heart, Adam Larter, Specialist Solutions Architect from AWS, chats to our hosts about the latest news impacting the developer community from AWS. Covering hot topics like AWS IoT, the serverless framework and the growing momentum of AWS Lambda & API Gateway since launching in 2014. Adam also offers up tips to how you can get started by leveraging AWS SDKs to develop, create and manage applications built on AWS.

Episode 4 – A special AWS update for Developers with guest Adam Larter

Dr Pete and Russ Nash offers up a monstrous round-up of AWS news and services updates, spanning from performance enhancements, price reductions and software dev updates. Tune in to get across the most significant updates from AWS. Visit awstechchat.com for more info.

Episode 5 - Stay up to date on the cloud topics that matter to you most in this latest round-up

Dr Werner Vogels, VP & CTO of Amazon.com, spent some time down under and chats with Russ and Dr Pete about Australian Rules Football, the last 10 years of Amazon Web Services and more.

Episode 6 - Dr Werner Vogels Down Under

You told us, and we listened. By popular demand, Dr Pete and Russ Nash serves up a mammoth update covering the latest technical updates and announcements from AWS, covering: 

•	The 38th AWS availability zone opening in East Ohio, US 
•	 P2 and Grace Hopper + GPU specs
•	Deep Learning AMI
•	Aurora + Lambda
•	EMR, HDFS and Snowball
•	AWS Server Migration Service
•	DevOps with new CloudFormation extensions
•	PowerShell everywhere + AWS Powershell Core on Linux/Mac
•	And a huge focus on IPv6 DNS, S3, WAF, including a trick and tips segment for using ipv6

Episode 7 - A mammoth round-up of the latest AWS tech updates and announcements

For the AWS and tech aficionados, Christmas has come early as Dr Pete and Russ Nash drills down on some of the highlights of the new services announcements made from re:Invent 2016. Tune into part 1 of this special re:Invent round-up!

Episode 9 - Special re:Invent Round-up (Part 1 of 2)

As of 2016 AWS has more than 70 services, estimated 2 Million servers and 31 percent cloud market share. The recent Yearly AWS Summit is one of a good place to feel the excitement with 32000 engineers gathering, collaborate with boot camps, and see how things are getting put in reality and what others think about Cloud in general.

Atish Narlawar talks about recent AWS Con 2016 to Stanley TSO, DevOps Engineer at @Huge. 

They start the conversation with the most major topic of the year AWS Lambdas. Stanley talk about Serverless Architecture and architecture patterns emerged from it AWS Serverless API w/ API Gateway, Mobile, and Live Video Stream Processing. Cost is one of the biggest factors for switching from current cloud-based servers to AWS Lambda serverless architecture, and Stanley thinks these savings are going to be the game changer. In one survey it was noted on actual production servers savings goes up to 50-90% of total current cloud expenses.

Second, they talk about Alexa, and the concept of Voice user interfaces (VUIs). AWS hosted a workshop to develop Alexa skills using Raspberry PI.  User Conversation is the design paradigm and interactions with the application services with little straightforward and natural way going to be a big thing in the upcoming year. Stanley thinks Amazon is pushing hard to make this transition sooner than later. He also speaks cover about AI, Machine learning presentations he attended, and how dev teams can use AWS AI services to build AI functionalities from scratch.

Third, they talk about "How DevOps Culture getting evolved" across worldwide since its inception in 2009. Stanley finds DevOps became the necessary for agility; moving towards the direction of 
"Infrastructure as a Code" and gets into the Continous Integration workflows along with application code.

Finally, He talks about Security Automation, and how Automation in the security has taken overall security to the next level. He shares the "Psychology of Security Automation," its placement from day one in the project. And how tools from NetFlix like Lemur and Repoman automates SSL creations and User permissions and facilitates development team a pace of “Move and Fast Break the things, ” and fulfills testing and security compliance.


Venue: Huge, Brooklyn, NY.
Host: Atish Narlawar
Contact: techpodcast@aol.com
Guest: Stanley Tso<a href="https://twitter.com/stso">@stso</a>

Tech Time Podcast

AWS Reinvent 2016

The What Bitcoin Did Podcast - Intro

In this episode of the Data Show, I spoke with Ameet Talwalkar, assistant professor of machine learning at CMU and co-founder of Determined AI. He was an early and key contributor to Spark MLlib and a member of AMPLab. Most recently, he helped conceive and organize the first edition of SysML, a new academic conference at the intersection of systems and machine learning (ML).

We discussed using and deploying deep learning at scale. This is an empirical era for machine learning, and, as I noted in an earlier article, as successful as deep learning has been, our level of understanding of why it works so well is still lacking. In practice, machine learning engineers need to explore and experiment using different architectures and hyperparameters before they settle on a model that works for their specific use case. Training a single model usually involves big (labeled) data and big models; as such, exploring the space of possible model architectures and parameters can take days, weeks, or even months. Talwalkar has spent the last few years grappling with this problem as an academic researcher and as an entrepreneur. In this episode, he describes some of his related work on hyperparameter tuning, systems, and more.

How to Train and Deploy Deep Learning at Scale

Co-hosted by AWS Solution Architects and Evangelists, Shai Perednik, Dean Samuels and guest hosts!

Episode 5 - Stay up to date on the cloud topics that matter to you most in this latest round-up

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