Tag: Webinar

How to Accelerate Migrations to AWS with CloudEndure – AWS Online Tech Talks

How to Accelerate Migrations to AWS with CloudEndure – AWS Online Tech Talks

How to Accelerate Migrations to AWS with CloudEndure – AWS Online Tech Talks
The complexity of enterprise IT environments with diverse infrastructure and OS types, monolithic legacy applications, mission critical databases, compatibility issues, and continuously changing workloads can make cloud migrations challenging. And don’t forget your business’ demands for the project – limited downtime, no performance disruption, and tight timelines with limited budget. In this tech talk, we’ll show you how our recent acquisition of CloudEndure can help you simplify, expedite, and automate large-scale migrations to AWS.

Learning Objectives:
– Identify common migration challenges and how you can overcome them
– Understand how to reduce time, risk, and specialized skill sets needed for complex migration projects
– See how you can minimize performance disruption during replication and shorten cutover windows to minutes

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Introduction to Amazon EC2 Instances Featuring AMD EPYC Processors – AWS Online Tech Talks

Introduction to Amazon EC2 Instances Featuring AMD EPYC Processors – AWS Online Tech Talks

Introduction to Amazon EC2 Instances Featuring AMD EPYC Processors – AWS Online Tech Talks
Customers are constantly looking to optimize performance and cost for running their workloads. Amazon EC2 Instances featuring AMD EPYC Processors are new services that enable customers to do just that. In this tech talk, you will learn about these EC2 instances and how they can be a good option to right-size your workloads. We will provide an overview of the service, go over use cases, benefits, customer successes, and how simple migration to these workloads can be.

Learning Objectives:
– Learn about Amazon EC2 instances featuring AMD EPYC Processors
– Learn how the new instances can be good for right-sizing your workload allowing you to optimize performance and cost
– Learn the uses cases and benefits of Amazon EC2 instances featuring AMD EPYC Processors

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Office Hours: Amazon Managed Blockchain – Building Distributed Applications w/ Hyperledger Fabric

Office Hours: Amazon Managed Blockchain – Building Distributed Applications w/ Hyperledger Fabric

Office Hours: Amazon Managed Blockchain – Building Distributed Applications w/ Hyperledger Fabric
Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using the popular open source framework Hyperledger Fabric. Join us for AWS Office Hours, where you have the opportunity to ask AWS experts about anything on Amazon Managed Blockchain – from how a blockchain is different than databases, use cases for Hyperledger Fabric framework, to any specific questions regarding our features or functionality.

Learning Objectives:
– How is Blockchain different from a database?
– How is Amazon Managed Blockchain different than typical open source blockchain implementations?
– What are the use cases for Blockchain?

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Customer Showcase: Extending Machine Learning to Industrial IoT Applications at the Edge

Customer Showcase: Extending Machine Learning to Industrial IoT Applications at the Edge

Customer Showcase: Extending Machine Learning to Industrial IoT Applications at the Edge
Industrial organizations are constantly looking for ways to modernize and transform their manufacturing processes and operations at scale. Edge computing, with the added ability to deploy machine learning models on connected assets at the manufacturing source, is enabling organizations to actualize the benefits of Industry 4.0. In this tech talk, we will discuss the dominant trends that intersect Industrial IoT (IIoT) applications and edge computing with an emphasis on how AWS IoT edge services combined with distributed machine learning frameworks can help analyze and act on manufacturing data to derive more meaningful insights. We will also feature a solution demonstration from our partner, STMicroelectronics, which showcases predictive maintenance and condition monitoring as one of several use case examples that harnesses the power of the cloud and machine learning at the edge.

Learning Objectives:
– Learn which Industrial IoT (IIoT) use cases and applications can benefit from edge computing paired with machine learning
– Become familiar with AWS IoT edge services and software, such as AWS IoT Greengrass and Amazon FreeRTOS
– See how AWS IoT edge services and partner solutions can be used to solve for real-world applications such as predictive maintenance and condition monitoring

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Simplify and Scale How You Connect Your Premises to AWS w/ AWS Direct Connect on AWS Transit Gateway

Simplify and Scale How You Connect Your Premises to AWS w/ AWS Direct Connect on AWS Transit Gateway

Simplify and Scale How You Connect Your Premises to AWS w/ AWS Direct Connect on AWS Transit Gateway
Simplify how you interconnect all of your Amazon Virtual Private Clouds across thousands of AWS accounts and into your on-premises networks through AWS Direct Connect connections. With the AWS Direct Connect support for AWS Transit Gateway, you can easily and quickly connect into a single centrally-managed gateway, rapidly growing the size of your network from your premises to the cloud. In this tech talk, you will learn how to use multi account Direct Connect gateway to interface your on-premises network with your AWS network through a AWS Transit Gateway.

Learning Objectives:
– Understand the key benefits of AWS Direct Connect and AWS Transit Gateway
– Learn about the architectural implications of AWS Direct Connect and AWS Transit Gateway
– Learn how to deploy AWS Direct Connect and AWS Transit Gateway yourself

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Getting Started with Cross-Account Encryption Using AWS KMS, Feat. Slack Enterprise Key Management

Getting Started with Cross-Account Encryption Using AWS KMS, Feat. Slack Enterprise Key Management

Getting Started with Cross-Account Encryption Using AWS KMS, Feat. Slack Enterprise Key Management
AWS Key Management Service (KMS) provides tools you can use to protect data and revoke access to keys when needed, even across accounts. Now, for the applications you build, you can give your customers more control over their data they store in your application by using KMS. In this tech talk, learn how KMS can be used by customers to administer third-party access to their data keys. You will learn how Slack Enterprise Key Management provides customers with complete control and visibility of access to their data in Slack.

Learning Objectives:
– Explore the features of AWS Key Management Service (KMS)
– Learn how to use AWS KMS to maintain cryptographic control over data even in third-party AWS accounts
– See how Slack uses AWS KMS in its Enterprise Key Management service

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Build Efficient and Accurate Recommendation Engines with Amazon Personalize – AWS Online Tech Talks

Build Efficient and Accurate Recommendation Engines with Amazon Personalize – AWS Online Tech Talks

Build Efficient and Accurate Recommendation Engines with Amazon Personalize – AWS Online Tech Talks
Recommendation engines make use cases like targeted marketing campaigns, discovering relationships between individuals and products for identifying trends and classifying users, re-ranking items, or delivering personalized notifications, and more, possible. Setting up and handling these engines with traditional methods is often a highly resource consuming task, hard to maintain, and can lead to inaccurate results leading to low impact in your business. In this tech talk, we will explore how by relying on services like Amazon Personalize, it is possible to create and manage recommendation engines efficiently, letting you focus on the real value of the data for your business. Furthermore, we will discover how the deep learning techniques available have a direct impact on the bottom line of your business, by increasing the accuracy leading to higher engagement and click through in your applications. We will briefly review how this works in context and dive into some demonstrations.

Learning Objectives:
– Explore the challenges faced when working with recommendation engines and how to address those efficiently
– Learn how Amazon Personalize allows you to create and manage powerful recommendation engines
– Learn what deep learning techniques are available for improving recommendation engines accuracy and its impact in the bottom line of your business

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Your First HPC Cluster on AWS – AWS Online Tech Talks

Your First HPC Cluster on AWS – AWS Online Tech Talks

Your First HPC Cluster on AWS – AWS Online Tech Talks
It’s not hard to build your first HPC cluster on AWS. In this tech talk, we’ll take you through the basics in a step-by-step approach that you can follow along at your desk. We’ll cover everything from installation of the AWS ParallelCluster software suite, through to instance selection, Amazon EC2 Spot market enablement and all the way to launching your first MPI “hello world” job from the command line.

Learning Objectives:
– Learn how to create your own HPC cluster on AWS using AWS ParallelCluster
– Learn about the options for instance selection to match your HPC code and the various scheduler choices available on AWS
– Learn how/when to use EC2 Spot Instances to optimize costs

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Authentication for Your Applications: Getting Started with Amazon Cognito – AWS Online Tech Talks

Authentication for Your Applications: Getting Started with Amazon Cognito – AWS Online Tech Talks

Authentication for Your Applications: Getting Started with Amazon Cognito – AWS Online Tech Talks
If you’re building a modern web or mobile app, odds are good that you’re going to need to handle common operations like signing in users and maintaining their profiles. Amazon Cognito allows you to offload this undifferentiated heavy lifting to a managed AWS service, so that you can focus on the core features and functionality of your application, while knowing that the critical aspects of handling authentication are being implemented properly and securely at any scale. This tech talk will start by showing how you get going with Cognito, adding it to your application through frameworks like AWS Amplify. We’ll then follow up with showing how Amazon Cognito integrates with the broader set of AWS services including Amazon API Gateway, AWS Application Load Balancer, AWS Security Token Service and others to provide you with a complete authentication and authorization solution for your application.

Learning Objectives:
– Learn how to initially configure Cognito and add it to an application
– See how Cognito normalizes native and federated identities
– Discover how Cognito integrates easily with adjacent AWS services

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AWS Fireside Chat: Optimize Your Business Continuity Strategy with Aurora Global Database

AWS Fireside Chat: Optimize Your Business Continuity Strategy with Aurora Global Database

AWS Fireside Chat: Optimize Your Business Continuity Strategy with Aurora Global Database
Amazon Aurora Global Database provides fast cross-region disaster recovery and enables high performance, low lag, cross-region scaling of reads with minimal impact on database performance. As a feature of Aurora, Global Database uses physical, storage-level replication as opposed to logical replication used by other MySQL-compatible databases. With physical replication, Aurora provides high availability features together with a greatly improved replication performance. Data is replicated between the primary and secondary regions usually within a second, with an upper bound of 5 seconds. In the unlikely event your database becomes degraded or isolated in an AWS region, secondary regions can be promoted to take full read-write workloads in under a minute. Attend this AWS Fireside Chat to learn how you can use Aurora Global Database to build scalable and reliable apps.

Learning Objectives:
– Create an Aurora Global Database and view the clusters in the console
– Performance test where we show a SYSBENCH workload running on Aurora Global Database with little or no impact on the master
– Walk through of a failover to show how Aurora Global Database can continue accepting reads/writes and is back up and running within 1 minute

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