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Shane Baldacchino - Solutions Architect, ANZ, AWS | Peter Stanski - Head of Solution Architecture, AWS
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. 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.
Shane Baldacchino - Solutions Architect, ANZ, AWS | Peter Stanski - Head of Solution Architecture, AWS
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 to 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. 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.
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
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.
Shane Baldacchino - Edge Specialist Solutions Architect, ANZ, AWS | Gabe Hollombe - Principal Developer Advocate, AWS
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 indistinguishable 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.
Matt has authored and releasing a number of enterprise mobile applications, worked in mobile device security, and developed global innovations within the chatbot technology space. He now works at AWS helping customers scale their applications.
Deb Maud - Senior Product Manager (Technical), AWS
Deb has over 30 years of experience in agile environments in both Development and Product Management roles, delivering globally acclaimed user experiences. She now works at AWS in her key passion area of solving customer problems by working backwards.