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AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. These tech talks, led by AWS solutions architects and engineers, feature technical deep dives, live demonstrations, customer examples, and Q&A with AWS experts.

Check out our upcoming schedule below. We refresh it regularly, so come back to see what we're talking about.

There are currently no upcoming tech talks scheduled for this track.

There are currently no upcoming tech talks scheduled for this track.

Level 300 | Office Hours

Join us for AWS Office Hours, where you have the opportunity to ask AWS experts about anything on Amazon Managed Blockchain.

Speaker(s):  Jonathan Fritz, Principal Product Manager, AWS; Chirag Dhull, Sr. Product Marketing Manager, AWS; Shruthi Rao, Business Development Manager, AWS; Jon Shapiro-Ward, Sr. Solution Architect, AWS 

May 31, 2019

11:00 AM - 12:00 PM (PT)

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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.

Sample Questions:

  • Why use Amazon Managed Blockchain, a fully managed service, over hosting your own Hyperledger Fabric network?
  • What is the architecture of Hyperledger Fabric and how do transactions get committed on the network?
  • How do I port my existing Hyperledger Fabric chaincode to Amazon Managed Blockchain? 

Who Should Attend:

  • Developers, DBAs and IT Architects, and Senior IT Decision Makers

Level 300 | Service How To

Get a step-by-step walk-through of how to set up your first HPC cluster on AWS.

Speaker(s): Francesco Ruffino, Sr. Specialized HPC Solution Architect, AWS

May 30, 2019

11:00 AM - 12:00 PM (PT)

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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

Who Should Attend:

  • HPC Admins, HPC users, Research Scientists, Engineers

Level 200 | Service How To

Learn how the AWS Service Operator helps you provision AWS resources and your applications using kubectl CLI.

Speaker(s): Chris Hein, Sr. Developer Advocate, AWS

May 20, 2019

11:00 AM - 12:00 PM (PT)

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As as a developer, your main goal is to build and ship quality products that are reliable and easy to manage. Cloud-native architectures allow you to define and deploy your applications. However, infrastructure is often not taken into consideration. Developers and operations overcome this challenge by defining infrastructure as a code. In Kubernetes, this leads to disjointed pipelines which are complex to keep in sync with your application definitions. Kubernetes and the AWS Service Operator allows you to fill this gap. In this tech talk, you will learn and see how to use Kubernetes objects and Custom Resource Definitions (CRDs) to model and deploy your entire production environment including infrastructure, applications, and cloud-native dependencies.

Learning Objectives:

  • Gain insights into Kubernetes Operators
  • Get an understanding of Custom Resource Definitions
  • Learn how to automate infrastructure and application deployments with AWS Service Operator

Who Should Attend:

  • Developers, Operations, Architects, Technical Decision Makers

Level 300 | Service How To

Learn how AWS App Mesh makes the process of deploying microservices on AWS easier and more reliable while providing you with greater control and visibility to support common deployment patterns.

Speaker(s): Tony Pujals, Sr. Developer Advocate, AWS

May 22, 2019

9:00 AM - 10:00 AM (PT)

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After an initial release, developers of microservice applications face challenges with various update scenarios. AWS App Mesh provides a uniform way to roll out updates to microservices running across different compute environments in the AWS cloud. In this tech talk, we will show you how App Mesh simplifies three common deployment patterns: Blue-Green deployments, A/B testing, and Canary releases to ensure stability, reliability, and visibility of your applications on AWS.

Learning Objectives:

  • Learn three common release strategies: Blue-Green deployments, A/B testing, and Canary releases
  • Learn how to configure traffic with AWS App Mesh to support different release strategies
  • Learn how AWS App Mesh integrates with Amazon CloudWatch and AWS X-Ray to monitor your deployments

Who Should Attend:

  • Microservice developers and operators who want to understand how to release updates to their applications reliably and effectively on AWS.

Level 300 | Service How To

Learn how to migrate MongoDB workloads to Amazon DocumentDB, a fully managed MongoDB compatible database service designed from the ground up to be fast, scalable, and highly available.

Speaker(s): Jeff Duffy, Sr. NoSQL Specialist Solution Architect, AWS

May 20, 2019

1:00 PM - 2:00 PM (PT)

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Developers expend a lot of time managing MongoDB clusters at scale, including dealing with the undifferentiated heavy lifting of securing, patching, and operating MongoDB. Amazon DocumentDB is designed from the ground up to give customers the performance, scalability, and availability they need when operating mission-critical MongoDB workloads at scale. In this tech talk, we will discuss three different options on how to migrate existing MongoDB replica sets or sharded clusters that are running on premises or Amazon EC2 to Amazon DocumentDB.

Learning Objectives:

  • Discover how Amazon DocumentDB is designed from the ground up to give developers performance, scalability, and availability
  • Understand the three method (offline, online, hybrid) options and respective migration tools like the AWS Database Migration Service (DMS) that can help developers with migrations
  • Learn best practices when migrating to Amazon DocumentDB

Who Should Attend:

  • Developers that are self-managing MongoDB on-premises, EC2, or another managed provider.

Level 200 | Fireside Chat

Join us for a discussion with the General Manager of Amazon Aurora to learn how you can use Aurora Global Database to build scalable and reliable apps.

Speaker(s): Sailesh Krishnamurthy, GM, Amazon Aurora, AWS; Steve Abraham, Principal Solutions Architect, AWS 

May 29, 2019

1:00 PM - 2:00 PM (PT)

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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

Who Should Attend:

  • Developers, Architects, DBAs, DevOps Roles, IT Leaders

Level 200 | Service How To

Learn how to aggregate, analyze, and visualize your logs with Amazon Elasticsearch Service, Amazon Kinesis Data Firehose, and Kibana.

Speaker(s): Jon Handler, Principal Solution Architect, AWS

May 20, 2019

9:00 AM - 10:00 AM (PT)

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You've got servers. You've got applications. You've got AWS resources. That means, you've got logs. You can use Amazon Elasticsearch Service and your logs to source valuable insights like failure diagnosis, fraud detection, application performance, uptime, and other infrastructure monitoring. How do you move those logs into Amazon Elasticsearch Service? Amazon Kinesis Data Firehose (Firehose) is a robust delivery pipe to deliver data to Amazon Elasticsearch Service (ES). Firehose provides inline transformation via AWS Lambda callouts, retries with backoff, archival storage in S3, and error handling. You use Firehose's REST API or the Kinesis Agent to send your data to Amazon ES. You can use Kibana, an open-source, thin web client also provided by the service, to search and to build visualizations on your log data. In this tech talk, you'll learn about Firehose and Amazon ES, and how to connect them and how to use Kibana to build visualizations.

Learning Objectives:

  • Learn how to set up and size Amazon Elasticsearch Service initially
  • See how to set up Amazon Kinesis Data Firehose for Amazon Elasticsearch Service
  • Discover how to use Kibana to build a visualization and dashboard

Who Should Attend:

  • Developers, DevOps, IT Professionals, Operations Architects, Security Analysts

Level 300 | Solutions Best Practices

Learn how to build and manage a real-time streaming application with AWS using Java and leveraging Apache Flink.

Speaker(s): Ryan Nienhuis, Sr. Product Manager, AWS

May 22, 2019

11:00 AM - 12:00 PM (PT)

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Today's businesses continuously generate massive quantities of streaming data from thousands of machines, devices, websites, and applications. AWS customers build applications to process streaming data in real-time in order to load clickstream data to their data lake in minutes, generate operational metrics from log data in seconds, and apply machine learning models on IoT sensor data to react to changes in milliseconds. In this tech talk, we will present the business benefits of building streaming applications, the best practices for building such applications, and how to maintain these applications over time with low effort and resourcing needs. The technical focus of the talk will be on Amazon Kinesis and Apache Flink. Amazon Kinesis offers fully managed services that make it easy to collect, process, and analyze real-time, streaming data. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis provides a fully managed service for building stream processing applications using Apache Flink, Amazon Kinesis Data Analytics.

Learning Objectives:

  • Learn the business benefits of adopting streaming applications
  • Get best practices for building real-time applications with Java leveraging Apache Flink
  • See how to maintain real-time applications over time with low effort and resourcing needs

Who Should Attend:

  • Flink Enthusiasts, DevOps Managers, CTO, CIO, Data Streaming Engineers

Level 300 | Use Case How To

Learn about CloudFormation testing best practices, including what tools to use and when, both while authoring code and while testing in a continuous integration and continuous delivery pipeline.

Speaker(s):  Luis Colon, Sr. Developer Advocate, AWS; Dan Blanco, Developer Advocate, AWS

May 21, 2019

9:00 AM - 10:00 AM (PT)

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Incorporating infrastructure as code into software development and testing practices can help teams and organizations improve automation and throughput without sacrificing quality and uptime. AWS CloudFormation is a mature, widely use service that helps automate cloud resource management and application deployment in a predictable, repeatable way. In this tech talk, you can learn about CloudFormation testing best practices, including what tools are available and when to use them, both while authoring code and as part of testing stages in a continuous integration and continuous delivery pipeline.

Learning Objectives:

  • Understand how to approach testing infrastructure deployment code
  • Learn about testing and troubleshooting infrastructure code while authoring
  • Learn how to integrate infrastructure code testing in deployment pipelines

Who Should Attend:

  • Software Developers, Software Architects, DevOps Practitioners

Level 300 | Service How To

Learn how to simplify your Amazon Linux Workspaces management at scale by integrating with AWS OpsWorks for Chef Automate.

Speaker(s):  Hassan TA, Sr. Technical Product Manager, AWS

May 23, 2019

1:00 PM - 2:00 PM (PT)

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Learn how to simplify your Amazon Linux Workspaces management at scale by integrating with AWS OpsWorks for Chef Automate. Using Chef Automate to manage your Amazon Linux WorkSpaces simplifies your WorkSpaces configuration management and user policies so you can launch thousands of customized Amazon Linux WorkSpaces in a few clicks.

Sample Questions:

  • Learn how to manage Amazon Linux WorkSpaces at scale
  • See how to integrate Amazon Linux WorkSpaces with Chef Automate
  • Learn to customize Amazon Linux WorkSpaces configurations and policies using Chef Automate

Who Should Attend:

  • IT Desktop Administrators, Chef Automate Administrators, Linux Administrators

Level 200 | What's New / Cloud Innovation

Learn how the AWS Landing Zone can automate the set up of best practice baselines when setting up new AWS environments.

Speaker(s):  Sam Elmalak, Principal Solutions Architect, AWS; Steve Morad, Sr. Manager, Solution Builders, AWS

May 28, 2019

11:00 AM - 12:00 PM (PT)

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With a large number of design choices, setting up a multi-account environment can take a significant amount of time, involve the configuration of multiple accounts and services, and require a deep understanding of AWS Services. In this tech talk, you’ll learn about the latest innovations in AWS Landing Zone, recommended best practices when setting up an AWS environment, and how AWS Landing Zone can be used to provide a baseline environment to get started quickly.

Sample Questions:

  • Understand the recommended best practices when setting up an AWS environment
  • Learn how AWS Landing Zone can be used to provide a baseline environment to get started quickly
  • Discover the latest innovations and what’s new in AWS Landing Zone

Who Should Attend:

  • Organizations of all sizes interested in setting up a new AWS environment based on best practices. Teams responsible for setting up an AWS environment including: IT Professionals, DevOps, Security Teams, Cloud Center of Excellence, Architects

Level 200 | Customer Showcase

Learn how AWS IoT customers are building smarter products and bringing them to market quickly with Amazon FreeRTOS and AWS IoT Greengrass.

Speaker(s): Ian Perez Ponce, IoT Business Development, AWS; Toby Schultz, CTO, Vantage Power; Markus Mayr, Product Marketing Manager, STMicroelectronics

May 29, 2019

11:00 AM - 12:30 PM (PT)

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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

Who Should Attend:

  • Business Decision Makers, Technical Decision Makers

Level 300 | Service How To

Learn how to build a scalable architecture to process thousands of forms or documents with Amazon Textract.

Speaker(s): Kashif Imran, Solutions Architect, AWS  

May 28, 2019

9:00 AM - 10:00 AM (PT)

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Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. In this tech talk, we'll walk you through a scalable architecture to process thousands of documents. Get a look at the code required, and learn how to extend the architecture for use cases like business process automation, search and indexing, or personal identifiable information redaction.

Learning Objectives:

  • Learn how to use Amazon Textract to extract text and data from scanned documents
  • Learn how to build a scalable architecture to process thousands of documents
  • Understand use cases for business process automation, search and indexing, or personal identifiable information redaction

Who Should Attend:

  • Application Developers and Engineers

Level 300 | Service How To

Learn how to build efficient and accurate recommendation engines with high impact to the bottom line of your business.

Speaker(s): Antonio Rodriguez, Solutions Architect, AWS

May 30, 2019

1:00 PM - 2:00 PM (PT)

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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

Who Should Attend:

  • Data Scientists, Data Analysts, Application Developers, Business Decision Makers, IT Professionals

There are currently no upcoming tech talks scheduled for this track.

There are currently no upcoming tech talks scheduled for this track.

Level 200 | Service How To

Learn how to build and deploy serverless applications using React and AWS Amplify.

Speaker(s): Nader Dabit, Developer Advocate, AWS

May 21, 2019

1:00 PM - 2:00 PM (PT)

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Building and deploying a serverless app can be challenging if you're not using the right tools. In this tech talk, you will learn how to deploy serverless applications using the Amplify Framework. The Amplify Framework offers an easy way to get up and running with serverless functions. The Amplify CLI allows you to create, update, and delete functions along with API Gateway endpoints that correspond to the functions without having to visit the AWS Console. The Amplify console helps you deploy and host your serverless app in minutes, with one click. After the functions have been deployed, you can connect to and interact with the functions from a client-side application using the AWS Amplify client library. By the end of the talk, you should understand how to deploy and interact with serverless functions directly from your command line without having to write any configuration code or touching any YAML.

Learning Objectives:

  • Learn how Amplify makes it easy to build and deploy your serverless web and mobile apps
  • Learn how to create and manage serverless functions and APIs
  • Learn how to interact with the functions from a web application

Who Should Attend:

  • Developers interested in building serverless applications

Level 300 | Service Intro

Learn how to use multi account Direct Connect gateway to interface your on-premises network with your AWS network through a AWS Transit Gateway.

Speaker(s): Mohamed Hassan, Sr. Product Manager, AWS; Sanjay Bhal, Principal Product Manager, AWS

May 31, 2019

1:00 PM - 2:00 PM (PT)

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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

Who Should Attend:

  • Network Architects and Network Administrators

There are currently no upcoming tech talks scheduled for this track.

Level 200 | Service How To

Learn how to manage third-party access to your data keys with AWS KMS.

Speaker(s): Joe Norman, Partner Solutions Architect, AWS; Pooja Mehta, Product Manager, Slack

May 30, 2019

9:00 AM - 10:00 AM (PT)

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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

Who Should Attend:

  • IT Managers, Software Engineers, Cloud Engineers

Level 200 | Service Intro

Learn how to use Amazon Cognito to add sign up and sign in to your web or mobile application.

Speaker(s): Quint Van Deman, Principal BDM, AWS

May 31, 2019

9:00 AM - 10:00 AM (PT)

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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

Who Should Attend:

  • Application Developers, Identity Professionals, and anyone who digs Open ID Connect (OIDC) and OAuth2

Level 300 | Use Case How To

Learn how to use Event Fork Pipelines, a new suite of open-source nested applications in the serverless application repository, to easily build event driven apps.

Speaker(s): James Hood, Sr. Software Development Engineer, AWS

May 22, 2019

1:00 PM - 2:00 PM (PT)

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Event Fork Pipelines is a suite of open-source nested applications, based on the AWS Serverless Application Model (AWS SAM). You can deploy these apps directly from the AWS Serverless Application Repository into your AWS account, which makes it faster than ever to build event-driven apps. In this tech talk, we'll illustrate the basics of event-driven architectures, and demonstrate how event pipelines make them easier to build. You will learn how to use pipelines for event storage, backup, search, and analytics, to build, deploy, and test an event-driven serverless app.

Learning Objectives:

  • Design, build, and test an event-driven serverless app based on event pipelines
  • Deploy event pipelines in an automated manner
  • Author new event pipelines

Who Should Attend:

  • Architects, Developers, Engineering Managers

Level 300 | Service How To

Learn about S3 Batch Operations and how to manage billions of objects with a single API request in a few clicks.

Speaker(s): Rob Wilson, Sr. Product Manager, AWS

May 23, 2019

11:00 AM - 12:00 PM (PT)

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As your data stores expand, managing your objects at scale becomes increasingly difficult but more important than ever. With S3 Batch Operations, you can execute numerous management operations across tens-to-billions of objects - with a single API request or a few clicks in the S3 Management Console. Attend this tech talk to learn how to use S3 Batch Operations to change object properties and metadata, copy objects between buckets, replace tag sets, modify access controls, restore archived objects from S3 Glacier, and even run AWS Lambda functions across any number of objects at scale. S3 Batch Operations also tracks the progress of your requested operations and provides completion reports for auditing purposes.

Learning Objectives:

  • Understand the actions you can take with S3 Batch Operations
  • Learn how to create your first S3 Batch Operations job and track progress
  • Understand how AWS Lambda functions can be run with S3 Batch Operations

Who Should Attend:

  • Developers, IT Managers, Data Scientists, Storage Administrators, CIOs, CTOs, IT Executives

Level 200 | What's New / Cloud Innovation

Learn about AWS hybrid cloud storage and edge computing capabilities.

Speaker(s): Everett Dolgner, Storage Specialist Solutions Architect, AWS

May 28, 2019

1:00 PM - 2:00 PM (PT)

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While customers are adopting the cloud for many reasons, many organizations have workloads running on-premises that they can't immediately, or ever, migrate because the applications are tied to physical environments such as laboratories, or mines, or the applications can't tolerate network latencies. AWS provides hybrid cloud storage and edge computing capabilities to meet these needs - meeting customers where you are, physically and technologically. We will provide a briefing on AWS services for hybrid cloud storage and edge computing architectures. We will also cover key recent launches, including block storage for AWS Snowball Edge, which expands the workloads you can support with Amazon EC2 for disconnected environments.

Learning Objectives:

  • Understand the AWS portfolio of offerings for hybrid cloud storage and edge computing
  • Learn about edge computing in disconnected or intermittently connected environments
  • Assess which of your workloads you can serve with AWS hybrid cloud storage architectures

Who Should Attend:

  • IT Managers, IT Directors, IT Architects, IT Administrators

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