Showing results by author "Tom McMeekin" in All Categories

In this Amazon SageMaker themed episode of AWS TechChat, Shane & Tom start the show level setting on what Amazon SageMaker is and how and where it slots in to our product offerings. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly at scale. We introduce Amazon SageMaker AutoPilot, which lets you automatically create the best classification and regression machine learning models, while providing full control and visibility.

In this round-up episode of AWS TechChat, Shane and Tom come at you with raft of short sharp and important updates that occurred in September and October in the year 2019. They started the show with an announcement around Amazon Simple Storage Service (S3) Single Region Replication, with this feature you can now automatically and asynchronously replicate newly uploaded S3 objects to a destination bucket in the same AWS Region. Just remember you need to enable versioning.

In this monster episode of AWS TechChat, Shane and Tom (yes he is back) come at you with a raft of short sharp and important updates that occurred in the month of July in the year 2019. They started the show with two Amazon CloudWatch updates. Amazon CloudWatch Anomaly Detection, which applies machine learning to continuously analyze a specific CloudWatch metrics determines a nominal baseline, and surfaces anomalies, all without user intervention before introducing you to Amazon CloudWatch Container Insights.

Joining host Shane in the latest episode of AWS TechChat is special guest Tom McMeekin, Solution Architect, AWS. Shane and Tom discuss updates to Amazon Route 53, support for DNS resolution over inter region VPC, Amazon EC2 Auto Scaling and AWS CloudFormation.

In this bumper episode of AWS TechChat, Shane and Tom close out our 3 part re:Invent special with an episode for the builders. They talk through the added functionality released around AWS Lambda, and there is a lot. AWS Lambda as a ALB Target, AWS Lambda Layers providing common dependencies across functions and Lambda Custom Runtimes allowing you build AWS Lambda functions with your own runtimes.

In the second part of AWS re: Invent 2018 recap episode, Shane is joined by Tom McMeekin, Solutions Architect, AWS. They dive into important Machine Learning and AI announcements around Amazon EC2 instances, Amazon Elastic Inference, AWS Optimized for TensorFlow, Amazon DeepRacer, Amazon SageMaker Neo, Amazon Textract, Amazon Personalize and Amazon Forecast.