68 épisodes

Co-hosted by AWS Solution Architects and Evangelists, Shane Baldacchino, Dr Pete Stanski, Dean Samuels and Gabe Hollombe.

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    • Technologies

Co-hosted by AWS Solution Architects and Evangelists, Shane Baldacchino, Dr Pete Stanski, Dean Samuels and Gabe Hollombe.

    Episode 67 - Dealing With Failure Special

    Episode 67 - Dealing With Failure Special

    In this themed episode of AWS TechChat we are explored how one deals with failure because as we say, everything fails all the time.

    The show starts with level setting with some acronyms to ensure we are all on the same page. RTO, RPO’s and will now mean something to everyone by the end of this episode.

    Disaster Recovery (DR) is often thought in many organizations as an insurance policy and we discuss about the impact versus risk and how you can put some structure around your decision-making.

    We then pivot to various approaches you can use for DR:
    • Pilot Light - ensuring you replicate your statement of records and are able to instantiate your stacks via infrastructure as code.
    • Warm Standby, allowing you to run a scaled down version of your stack, but allowing you to scale up with Auto Scaling Groups and increasing the number of running tasks in your containers.
    • Before speaking about a traditional backup and restore approach, which is still very valid. LTO may be gone but you can use most backup applications in 2020 with Amazon S3 and Amazon S3 Glacier as a target and if that's not an option there is also a VTL option in Storage Gateway.

    Pete talks about nifty trick for auto recovery with Min 1|Max 1 auto scaling groups as well as Amazon EC2 recovery options.

    We then pivot to what it would takes to architect for multi-region application allowing you to run your solution across multiple AWS regions in an active/active topology speaking through the challenges you may face and what tools are available.

    Before closing out, we share about Multi Availability Zones (AZ) architectures, which is a key differentiator of AWS from other providers. We give a refresher on what AZ are and explain that all AWS services are either multi-AZ by default or a tick-box offering allowing you to build robust architectures than with stand AZ failure.

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS
    Peter Stanski - Head of Solution Architecture, AWS

    Resources:
    Amazon EKS Workshop https://eksworkshop.com/
    AWS Glossary https://docs.aws.amazon.com/general/latest/gr/glos-chap.html
    Amazon Disaster Recovery https://aws.amazon.com/disaster-recovery/
    Auto Scaling Groups https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html
    Amazon S3 Glacier https://aws.amazon.com/glacier/
    Regions, Availability Zones, and Local Zones https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html

    AWS Events:
    AWS Innovate AIML Edition https://aws.amazon.com/events/aws-innovate/machine-learning/
    AWS Innovate DeepRacer Challenge https://aws.amazon.com/events/aws-innovate/machine-learning/deepracer/
    AWS Builders Online Series on-demand https://aws.amazon.com/events/builders-online-series/
    AWS Summits https://aws.amazon.com/events/summits/
    AWS Events and Webinars https://aws.amazon.com/events/

    • 44 min
    Episode 66 - November 2019 --> January 2020 Tech Round-up - Part 2

    Episode 66 - November 2019 --> January 2020 Tech Round-up - Part 2

    In this Episode of AWS TechChat, Pete and Shane are in Chicago and continue on part 2 of an update show that continues to cover some of the missed but very important updates that occurred in the last few months (November 2019 → January 2020) whilst we embraced re:Invent 2019.

    We start the show with some Container news. Firstly, we have four GitHub actions that provide hooks to accelerate your CI/CD pipeline. The actions relate to credentials, secrets, through to ECR and deployment. It helps developers focus on iterating with a high velocity and GitHub handling the heavy lifting of the deployment.

    Amazon EKS being all popular has had a limit increase - 100 Amazon EKS clusters per region per account. We continue to share two networking related updates - Access Control List (ACL) restrictions to public endpoints and the ability to resolve the private Amazon EKS cluster endpoint when using a peered VPC. Finally, on the container front we launched AWS Fargate Spot, only for Amazon ECS allowing saving up to 70%.

    Amazon EC2 Spot Now Provides Instance Launch Notifications via Amazon CloudWatch Events allowing you to up your observability and monitoring game.

    We then pivot to messaging updates. Amazon Simple Email Service (SES) enables you to configure DomainKeys Identified Mail (DKIM) using your own RSA key pair. It is now supports FIPS 140-2 compliant end-points and Account-Level Suppression list which allowing you to specify whether addresses should be added to the list when they result in hard bounces, or when they result in complaints, or both.

    Amazon SNS now brings support for a DLQ. You can now set a dead-letter queue (DLQ) to an (SNS) subscription to capture undeliverable messages and push them to a SQS queue.

    AWS Lambda now provides support to allow you to provision capacity, allowing you to prevent cold starts and is another tool in your toolbox that may make AWS Lambda more applicable to more workloads that require highly consistent latency.

    Lastly, we close off the show with Amazon EBS Fast Snapshot Restore (FSR) update. It eliminates the need for pre-warming data into volumes created from snapshots.

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS
    Peter Stanski - Head of Solution Architecture, AWS

    Resources:
    AWS DataSync announces a 68% price reduction https://aws.amazon.com/about-aws/whats-new/2019/11/aws-datasync-announces-68-percent-price-reduction/
    Amazon Elastic Container Service publishes multiple GitHub Actions https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-elastic-container-service-publishes-multiple-github-actions/
    AWS for GitHub Actions https://github.com/aws-actions
    Amazon EKS Increases Limits to 100 Clusters per Region https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-eks-increases-limits-to-100-clusters-per-region/
    Amazon EKS enables network access restrictions to Kubernetes cluster public endpoints https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-eks-enables-network-access-restrictions-to-kubernetes-cluster-public-endpoints/
    DNS Resolution for EKS Clusters Using Private Endpoints https://aws.amazon.com/about-aws/whats-new/2019/12/dns-resolution-for-eks-clusters-using-private-endpoints/
    AWS launches Fargate Spot, save up to 70% for fault tolerant applications https://aws.amazon.com/about-aws/whats-new/2019/12/aws-launches-fargate-spot-save-up-to-70-for-fault-tolerant-applications/
    Amazon EC2 Spot Now Provides Instance Launch Notifications via Amazon CloudWatch Events https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ec2-spot-now-provides-instance-launch-notifications-via-amazon-cloudwatch-events/
    AWS Whats New (Webhook): Amazon SES now enables you to configure DKIM using your own RSA key pair https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ses-now-enables-you-to-configure-dkim-using-your-own-rsa-/

    • 44 min
    Episode 65 - November 2019 --> January 2020 Tech Round-up - Part 1

    Episode 65 - November 2019 --> January 2020 Tech Round-up - Part 1

    In this Episode of AWS TechChat, I cover some of the missed but very important updates that occurred in the last few months (November 2019 to January 2020) whilst we embraced re:Invent 2019.

    The show starts with the introduction of AWS Lambda Destinations. It’s a new feature of Lambda that provides visibility into a Lambda functions invocation and routes the execution results to AWS services, which simplifying event-driven applications when a function is invoked asynchronously,

    I pivot to a raft of EC2 updates, starting with some house keeping with longer Amazon EC2 Resource IDs. From now until the end of April 2020, you can test your systems with the longer format and opt in when you are ready but after April 2020. All new resources will be created with longer resource IDs by default. It applies only to new resources and i encourage you test out before April 2020.

    Amazon ElastiCache and Amazon Relational Database Service (RDS) are now having new Amazon EC2 instance types available for you. Saving you money and increasing performance. I also touch on how the credit system works on our T instances.

    Next, I introduce an entirely new service - AWS Data Exchange, which is a new service that makes it easy to securely find, subscribe to, and use third-party data in the cloud.

    Before jumping in to five FSx for Windows updates around De-Duplication, Encryption, PowerShell, Smaller Volume Sizes and File Share Witnesses for SQL, I talk about Amazon GuardDuty. You can now export findings from across regions and also export findings from all associated member accounts and all AWS regions to a single S3 bucket.

    To close out the show, I share a unique but important update on Amazon Route53. It now supports overlapping name spaces, simplifying complex AWS accounts

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS

    Resources:
    Introducing AWS Lambda Destinations https://aws.amazon.com/blogs/compute/introducing-aws-lambda-destinations/
    Longer Format Resource IDs are Now Available in Amazon EC2 https://aws.amazon.com/about-aws/whats-new/2019/11/longer-format-resource-ids-are-now-available-in-amazon-ec2/
    Amazon ElastiCache now supports T3-Standard cache nodes https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-elasticache-now-supports-t3-standard-cache-nodes/
    RDS New Instance Types https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-rds-for-sql-server-now-supports-additional-instance-sizes/
    Amazon EC2 Auto Scaling Now Supports Maximum Instance Lifetime https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-ec2-auto-scaling-supports-max-instance-lifetime
    Amazon EC2 Auto Scaling Now Supports Instance Weighting https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-ec2-auto-scaling-supports-instance-weighting/
    Introducing AWS Data Exchange https://aws.amazon.com/about-aws/whats-new/2019/11/introducing-aws-data-exchange/
    Amazon GuardDuty Supports Exporting Findings to an Amazon S3 Bucket https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-guardduty-supports-exporting-findings-to-an-amazon-s3-bucket/
    Amazon FSx for Windows File Server now supports Data Deduplication, reducing storage costs by 50-60% for general file shares https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-fsx-windows-file-server-supports-data-deduplication-reducing-storage-costs/
    Amazon Route 53 Now Supports Overlapping Namespaces For Private Hosted Zones https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-route-53-now-supports-overlapping-namespaces-for-private-hosted-zones/

    AWS Events:
    AWS Builders Online Series https://aws.amazon.com/events/builders-online-series/
    AWS Innovate AIML Edition https://aws.amazon.com/events/aws-innovate/machine-learning/
    AWS Innovate DeepRacer Challenge https://aws.amazon.com/events/aws-innovate/machine-learning/deepracer/

    • 28 min
    Episode 64 - Amazon SageMaker Special

    Episode 64 - Amazon SageMaker Special

    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.
    We then talk about Amazon SageMaker Studio - your machine learning integrated development environment (IDE) in the cloud. Developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface. As part of Amazon SageMaker Studio, it comes with the new Amazon SageMaker Notebook, which allows developers to spin up machine learning notebooks in seconds, without needing to pick an instance and wait for it to be operational.
    We also speak about Amazon SageMaker Processing, which lets you easily run your pre-processing, post-processing and model evaluation workloads on fully managed infrastructure. It also has a python SDK.
    We all like to experiment and try things out, I am talking in the machine learning space here and because of that, we introduce Amazon SageMaker Model Monitor. Amazon SageMaker Model Monitor continuously monitors the quality of Amazon SageMaker machine learning models in production allowing you to set alerts for when there are deviations in the model quality.
    To close the show out, we mention SageMaker Operators for Kubernetes, which you can access fully managed Amazon SageMaker ML tools and optimizations natively from Kubernetes, specifically for model training, hyperparameter optimization, real-time inference, and batch inference.

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS
    Tom McMeekin - Solutions Architect, ANZ, AWS

    Resources:
    AWS re:Invent 2019 Sessions & Podcast Feed http://aws-reinvent-audio.s3-website.us-east-2.amazonaws.com/2019/2019.html
    Amazon SageMaker https://aws.amazon.com/sagemaker/
    Amazon SageMaker Autopilot https://aws.amazon.com/sagemaker/autopilot/
    Amazon SageMaker Studio https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-studio-the-first-integrated-development-environment-ide-for-machine-learning/
    Amazon SageMaker Notebook https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-the-new-amazon-sagemaker-notebook-experience-now-in-preview/
    Amazon SageMaker Processing https://aws.amazon.com/blogs/aws/amazon-sagemaker-processing-fully-managed-data-processing-and-model-evaluation/
    Amazon SageMaker Experiments https://aws.amazon.com/blogs/aws/amazon-sagemaker-experiments-organize-track-and-compare-your-machine-learning-trainings/
    Amazon SageMaker Debugger https://aws.amazon.com/blogs/aws/amazon-sagemaker-debugger-debug-your-machine-learning-models/
    Amazon SageMaker Model Monitor https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-model-monitor/
    Amazon SageMaker Operators for Kubernetes https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-operators-for-kubernetes/

    AWS Events:
    AWS Builders Online Series https://aws.amazon.com/events/builders-online-series/
    AWS Innovate AIML Edition https://aws.amazon.com/events/aws-innovate/machine-learning/
    AWS Events and Webinars https://aws.amazon.com/events/

    • 44 min
    Episode 63 - re:Invent 2019 - Dr.Werner Vogels Keynote Recap

    Episode 63 - re:Invent 2019 - Dr.Werner Vogels Keynote Recap

    In this episode of AWS TechChat we cover the Thursday keynote of re:Invent 2019 by Dr Werner Vogels, CTO of Amazon.

    We start the show introducing Amazon Nitro System, look at it from a software lens and share with you the why and how we built this. As virtualization is at the core of the AWS Cloud we went back to the drawing board and built our own hypervisor to provide performance almost in-distinguishable of bare metal whilst providing a security demarcation for our platform. Nitro has allowed us to innovate faster, we have released 4x more instances since we have moved to Nitro.

    We then take a refresher and look at Firecracker. You can launch lightweight micro-virtual machines (microVMs) in non-virtualized environments in a fraction of a second. Given we use Firecracker under the hood for AWS Lambda and AWS Fargate, it provides faster, tighter more seamless scaling than other platforms such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS).

    To wrap up the show, we touch on the importance of “evolvable architectures” looking through the lens of Amazon Simple Storage Service (S3) before introducing you to Amazon Builders’ Library that has papers and topics on how Amazon builds our own distributed systems.

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS
    Gabe Hollombe, Senior Technical Evangelist, AWS

    Resources:
    AWS Nitro System https://aws.amazon.com/ec2/nitro/
    AWS Nitro Enclaves https://aws.amazon.com/ec2/nitro/nitro-enclaves/
    Firecracker – Lightweight Virtualization for Serverless Computing https://aws.amazon.com/blogs/aws/firecracker-lightweight-virtualization-for-serverless-computing/
    Amazon EKS on AWS Fargate Now Generally Available https://aws.amazon.com/blogs/aws/amazon-eks-on-aws-fargate-now-generally-available/
    Shuffle Sharding: Massive and Magical Fault Isolation https://aws.amazon.com/blogs/architecture/shuffle-sharding-massive-and-magical-fault-isolation/
    The Amazon Builders' Library https://aws.amazon.com/builders-library/

    AWS Events:
    AWS Builders Online Series https://aws.amazon.com/events/builders-online-series/
    AWS Modern Application Development on-demand https://aws.amazon.com/events/application/modern-app-development/
    AWS Innovate on-demand https://aws.amazon.com/events/aws-innovate/
    AWS Events and Webinars https://aws.amazon.com/events/

    • 22 min
    Episode 62 - re:Invent 2019 - Andy Jassy Main Keynote recap

    Episode 62 - re:Invent 2019 - Andy Jassy Main Keynote recap

    In this episode of AWS TechChat we cover the main keynote of re:Invent 2019 by Andy Jassy, AWS CEO, with a ton of announcements for all.

    We started the show with a new range of Arm-based processors based on AWS new Arm chip - M6g, C6g and R6g making that price to performance ration even more attractive. We continue to share the announcements that we made:

    Amazon Braket – A fully managed service that allows scientists, researchers, and developers to begin experimenting with computers from multiple quantum hardware providers in a single place.

    AWS Fargate has made its way to Amazon EKS, you can now launch EKS containers as a Fargate launch type.

    Amazon EC2 instance for inference - the Amazon EC2 Inf1, powered by our own custom silicon Inferentia chips has gone GA.

    AWS Fargate Spot is a new capability on AWS Fargate that can run interruption tolerant Amazon Elastic Container Service (Amazon ECS) Tasks at up to a 70% discount off the Fargate price.

    AWS Outposts has gone GA, so if you need hybrid cloud with the same AWS feeling it is now available. If you do not want to manage your Outpost, you can leverage a Local Zone. The first Local Zone in Los Angeles is available now and you can start using it today.

    AWS Wavelength brings local compute to the 5G Edge.

    Provisioned Concurrency for AWS Lambda Functions ensure cold starts issue and sudden traffic spikes do not impact latent sensitive operations.

    Amazon S3 Access Points makes it simple to manage access at scale for applications using shared data sets on S3.

    Amazon Sagemaker bore the brunt of many announcements:
    - Amazon Sagemaker Studio, your machine learning Integrated Development Environment in the cloud.
    - Amazon Sagemaker Notebooks bringing one click Jupyter notebooks to AWS.
    - Amazon Sagemaker Model Monitor automatically detects concept drift in deployed models.
    - Amazon Sagamaker Autopilot automatically creating your machine learning models but with transparency.

    Amazon CodeGuru is a new machine learning service for automated code reviews and application performance recommendations.

    Amazon Fraud Detector, which is a new machine learning service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts.

    Contact Lens for Amazon Connect, bulking out Amazon Connect capabilities, allows you to understand the sentiment, trends, and compliance risks of customer conversations to train agents effectively, replicate successful interactions, and identify crucial company and product feedback.

    We are launching in open preview Amazon Managed Apache Cassandra Service (MCS), a scalable, highly available, and managed Apache Cassandra-compatible database service.

    Amazon Redshift introduces RA3 nodes with managed storage enabling independent compute and storage scaling.

    Finally, UltraWarm is a performance-optimized warm storage tier for Amazon Elasticsearch Service. It complements the existing Amazon Elasticsearch hot storage tier by providing less expensive storage for older and less-frequently accessed data while still providing an interactive analytics experience allowing up to 3PB per cluster.

    Speakers:
    Shane Baldacchino - Solutions Architect, ANZ, AWS
    Peter Stanski - Head of Solution Architecture, AWS

    AWS Events:
    AWS Builders Online Series https://aws.amazon.com/events/builders-online-series/
    AWS Modern Application Development on-demand https://aws.amazon.com/events/application/modern-app-development/
    AWS Innovate on-demand https://aws.amazon.com/events/aws-innovate/
    AWS Events and Webinars https://aws.amazon.com/events/

    • 44 min

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