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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.

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

Level 300 | Service Deep Dive

Learn how you can optimize your workloads running on Amazon EC2 for cost and performance, all while handling peak demand.

Speaker(s): Chad Schmutzer, Principal Developer Advocate, AWS; Boyd Mcgeachie, Sr. Product Manager, AWS

March 26, 2019

11:00 AM - 12:00 PM PT

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Amazon EC2 offers a wide variety of compute instances that is well suited for every use case, from static websites to supercomputing on-demand, all available via highly flexible pricing options. Join this tech talk to learn how you can optimize your workloads running on EC2 for cost and performance, all while handling peak demand. Learn how to deploy workloads at scale using EC2 Fleet and EC2 Auto Scaling. Also learn how to use EC2 Launch Templates to power and deploy an EC2 Auto Scaling group using a combination of On-Demand and Spot Instances behind a load balancer to cost optimize your workload.

Learning Objectives:

  • Provision and scale infrastructure at the lowest possible cost by combining different EC2 purchase options
  • Learn how to leverage the full scale of the AWS cloud and EC2 with EC2 Fleet, EC2 Auto Scaling and Launch Templates
  • Learn how to streamline and simplify the launch process for large scale workloads on EC2

Who Should Attend:

  • EC2 customers looking to cost optimize workloads at scale

Level 200 | Service Intro

Learn how you can run AWS infrastructure on-premises with AWS Outposts for a truly consistent hybrid experience.

Speaker(s):  Rob Chen, Head of Infrastructure Solutions Marketing, AWS

March 27, 2019

9:00 AM - 10:00 AM PT

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Companies are moving their existing on-premises applications to the cloud as fast as they can to become more agile and dramatically lower their costs. However, some workloads need to remain on-premises due to low latency or local data processing requirements. AWS Outposts bring fully managed native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. You can use the same native AWS APIs used in the AWS cloud to support workloads that need to remain on-premises for a truly consistent hybrid experience. In this tech talk, we will provide an introduction to AWS Outposts, how it works, and customer use cases.

Learning Objectives:

  • Learn about AWS Outposts
  • Understand how it works to support on-premises workloads
  • Explore use cases for AWS Outposts

Who Should Attend:

  • Developers, Software Engineers, DevOps Engineers, IT, Cloud Engineers, IT Infrastructure Directors, Managers, and Administrators

Level 300 | Service Deep Dive

Learn how Amazon EC2's newest networking capability, EFA, provides low latency connectivity to scale highly parallel, tightly-coupled HPC applications.

Speaker(s):   Dr. Linda Hedges, Principal Solutions Architect, AWS

March 28, 2019

1:00 PM - 2:00 PM PT

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Amazon EC2's newest networking capability, Elastic Fabric Adapter (EFA), provides low latency connectivity for highly parallel, tightly-coupled applications to achieve not just great performance, but also extremely quick turnaround thanks to the agility and extreme scalability of AWS. In this tech talk, we'll do a deep dive into OpenMPI and its specific support for Amazon EC2's EFA, and show you how to get the most out of your code, and architect your solution for performance.

Learning Objectives:

  • Understand OpenMPI and it's relationship to EFA
  • Learn how to use AWS Parallel Cluster to launch HPC applications
  • Learn techniques for optimizing workload performance (straight-line or price/performance)

Who Should Attend:

  • Scientists and engineers using HPC for their work and the IT architects who support them

Level 200 | Service Intro

Learn how to run Kubernetes on AWS with Amazon EKS.

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

March 21, 2019

11:00 AM - 12:00 PM PT

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Kubernetes offers a powerful abstraction layer for managing containerized applications. With Amazon Elastic Container Service for Kubernetes (EKS), developers can run Kubernetes on AWS, without having to manage the control plane nodes or etcd persistence layer. In this tech talk, we'll demo provisioning an Amazon EKS cluster using open source tools, show you how it makes deploying containers on AWS simple and how we are using and contributing to open source around Kubernetes.

Learning Objectives:

  • Learn about Amazon EKS and how you can leverage it to run containers on AWS
  • Learn about the tools you can use to provision an Amazon EKS cluster
  • Learn about open source tools and contributions from the EKS team

Who Should Attend:

  • Developers, anyone using Kubernetes on premise or in the cloud

Level 400 | Service Deep Dive

Dive deep into microservices networking and how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application.

Speaker(s): Anirudh Aithal, Sr. Software Engineer, AWS

March 22, 2019

9:00 AM - 10:00 AM PT

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Building microservices enables you to decouple parts of your application so you can develop and deploy code faster. But once your microservices are running, how do you ensure they can seamlessly communicate with each other? In this tech talk, we will dive deep into microservices networking. We will discuss how you can build, secure, and manage the communications into, out of, and between the various microservices that make up your application. We will also take an in-depth look into various networking modes supported in ECS, EKS and Fargate, along with a brief introduction of AWS App Mesh.

Learning Objectives:

  • Learn about the different networking modes supported in ECS, Fargate and EKS
  • Learn about which networking mode best fits your application
  • Discover how to build, secure, and manage the communications into, out of, and between the various microservices that make up your application

Who Should Attend:

  • Developers, DevOps, Architects

Level 200 | What's New / Cloud Innovation

Find out what's new in PostgreSQL 11, the latest major version of the popular open source database, and learn about AWS services for running highly available PostgreSQL databases in the cloud.

Speaker(s): Kathy Gibbs, Specialist Solutions Architect, Databases, AWS

Broadcast On

March 18, 2019

Watch On-Demand

PostgreSQL 11 is the latest major version of the popular open source database, and includes a number of enhancements to performance, robustness, transaction management, query parallelism, and more. Learn about what's new in PostgreSQL 11, and how you can get more out of your database with features like hash partitioning, data federation, transactions in stored procedures, and parallel capable data definition commands. Also, learn how easy it is to run highly available PostgreSQL and PostgreSQL-compatible databases in AWS, with Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-compatible Edition.

Learning Objectives:

  • Learn how PostgreSQL 11 adds enhancements to the popular open source database's performance, robustness, transaction management, query parallelism, and more
  • Learn how features like hash partitioning, data federation, transactions in stored procedures, and parallel capable data definition commands make life easier for apps running on Postgres
  • Learn about the key services for running highly available PostgreSQL 11 and PostgreSQL-compatible databases in AWS: Amazon RDS and Amazon Aurora

Who Should Attend:

  • PostgreSQL users, Developers, Database Administrators, System Administrators, and Open Source lovers

Level 200 | Service Intro

Get an introduction on how AWS’s Workload Qualification Framework can help you with your application and database migrations.

Speaker(s): Arun Thiagarajan, Senior Product Manager, AWS

Broadcast On

March 19, 2019

Watch On-Demand

Database migration projects can often be complex. Even more so, heterogeneous migrations require planning among multiple stakeholders, multiple performance tuning exercises and end-to-end testing for full stack migrations to be successful. AWS’s new Workload Qualification Framework (WQF), part of the AWS Database Migration service, uses AWS Schema Conversion Tool (AWS SCT) to collect information to model existing Oracle and Microsoft SQL Server database workloads and provides instructions to convert them to Amazon Aurora. It identifies the complexity of the migration by analyzing database schemas and code objects, application code, dependencies, and performance characteristics, among other inputs. WQF can conduct a fleet-wide analysis of your entire database portfolio and help categorize migrations based on complexity and workload, so you're fully informed about the potential effort to migrate them into AWS. In this tech talk, we will introduce you to different migration workload categories and give an overview of how WQF can help you with your application and database migrations. We will also demo the tool and show you how easy it is to migrate your Oracle/SQL Server database over to the cloud.

Learning Objectives:

  • Learn about different migration workload categories
  • Get an introduction on the AWS Workload Qualification Framework
  • See a live demo of the WQF tool

Who Should Attend:

  • Developers, Engineers, IT Professionals, Architects, Technical Decision Makers

Level 200 | What's New / Cloud Innovation

Find out what's new in MySQL 8, the latest major version of the world's most popular open source database, and learn about AWS services for running highly available MySQL databases in the cloud.

Speaker(s): Steve Abraham, Principal Solutions Architect, AWS

March 20, 2019

1:00 PM - 2:00 PM PT

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MySQL 8 is the latest major version of the world's most popular open source database, and includes a number of enhancements to performance, reliability, security, manageability, and international and mobile support. Learn about what's new in MySQL 8, and how you can get more out of your database with features like Window Functions and Common Table Expressions, functions for converting JSON to relational tables, improved support for spatial data, and more. Also, learn how easy it is to run highly available MySQL 8 databases in AWS with Amazon RDS for MySQL.

Learning Objectives:

  • Learn how MySQL 8 adds enhancements to the open source database's performance, reliability, security, manageability, and international and mobile support
  • Learn how features like Window Functions and Common Table Expressions, functions for converting JSON to relational tables, and improved support for spatial data make life easier for apps running on MySQL
  • Learn about the key services for running highly available MySQL and MySQL-compatible databases in AWS: Amazon RDS and Amazon Aurora

Who Should Attend:

  • MySQL users, Developers, Database Administrators, System Administrators, and Open Source lovers

Level 200 | Service How To

Learn how AWS Relational Databases can help you build scalable & reliable enterprise apps.

Speaker(s):  Steve Abraham, Principal Solutions Architect, AWS

March 21, 2019

9:00 AM - 10:00 AM PT

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Packaged and custom enterprise apps help organizations manage core business processes, such as sales, billing, customer service, and HR. For decades, developers have built enterprise apps with old-guard commercial databases, but these databases are expensive, proprietary, have high lock-in, impose punitive licensing terms, don’t scale, and are difficult to manage. AWS offers a better way forward with fully-managed, cloud-native, modern relational database services that make it is easier, faster, and cost-effective for you to build enterprise apps. Attend this tech talk to learn about AWS relational databases services including Amazon Aurora & RDS and dive deep into service capabilities such as scalability, reliability, and performance to quickly build enterprise apps.

Learning Objectives:

  • Learn about AWS relational database services including Amazon Aurora & RDS to build scalable & reliable enterprise apps
  • Dive deep into Amazon Aurora & RDS capabilities such as scalability, reliability, and performance that makes it easier, faster, and cost-effective for you to build enterprise apps
  • See how customers are using Amazon Aurora & RDS to build modern enterprise apps

Who Should Attend:

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

Level 200 | Service Intro

Learn how to use ML Transforms for AWS Glue to link and de-duplicate matching records.

Speaker(s): Nikki Rouda, Product Marketing Manager, AWS; Tim Jones, Software Development Manager, AWS

Broadcast On

March 19, 2019

Watch On-Demand

ML Transforms for AWS Lake Formation enable you to identify duplicate or linked records in your dataset, even when the records do not have a common unique identifier and no fields match exactly. ML Transforms for AWS Lake Formation can help you with the following problems such as linking customer records across different customer databases, even when many customer fields do not match exactly across the databases (e.g. different name spelling, address differences). It can help match external product lists against your product catalog, such as lists of hazardous goods or lists of goods that can’t be transported by air. Additionally, it helps to deduplicate customer accounts, when the same person makes multiple registrations. In this tech talk, you'll get an overview of ML Transforms for AWS Lake Formation and learn how to find matching records between two different lists of consumer electronic products.

Learning Objectives:

  • Understand ML Transforms, a new capability of AWS Glue and AWS Lake Formation
  • Learn how to match external product lists against your product catalog, such as lists of hazardous goods or lists of goods that can’t be transported by air
  • Learn how to match and deduplicate records with ML Transforms

Who Should Attend:

  • Data Engineers, Data Scientists, Analysts

Level 300 | Customer Showcase

Learn best practices for how to perform real-time extract-transform-load into your data lake with Amazon Kinesis.

Speaker(s):  Ryan Nienhuis, SPM, Amazon Kinesis Analytics, AWS; Gregory Finch, Technology Architect, John Deere

March 20, 2019

9:00 AM - 10:00 AM PT

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In this tech talk, we discuss several options for performing real-time extract, transform, and load (ETL) using Amazon Kinesis, AWS Lambda, AWS Glue, and Amazon S3. We will provide an overview of two different options with distinct advantages for building real-time ETL applications prior to loading a data lake. Our customer, John Deere, will describe how they extract IoT sensor measurements from sophisticated agricultural equipment, transform them into useful customer information in real-time, and load the transformed data into their data lake. They will cover how they use different services for their solution depending on the use case and then dive deep into one example.

Learning Objectives:

  • Learn how to decide between what processing to do in real-time and what to do in batch
  • Learn how to perform real-time ETL using Amazon Kinesis Data Firehose, AWS Lambda, and AWS Glue, compared to Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics
  • Learn the pros and cons of the two solutions, and how knowledgeable AWS customers make the decision about how to use one over the other

Who Should Attend:

  • DevOps, Cloud Architects, Developers

Level 200 | Service Intro

Learn how Amazon QuickSight leverages powerful ML and natural language capabilities to generate insights that help you discover the story behind the numbers.

Speaker(s): Luis Wang, Principal Product Mgmt, AWS; Quinton Alsbury, Product Management Leader, AWS

March 20, 2019

11:00 AM - 12:00 PM PT

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As the amount of data we gather is increasing exponentially, distilling key insights for business users and decision makers is becoming more difficult every day. While dashboards and reports provide users with visual access to information, for many, finding the relevant insights, anomalies, and correlations is bounded by their understanding of data and analytics. Amazon QuickSight is the first BI service to incorporate powerful machine learning (ML) capabilities that are designed to help anyone discover the story behind the numbers. QuickSight can now perform automated anomaly detection, predictive forecasting and generate natural language summaries that give every end user the same level of insights as a data analyst with point and click simplicity.

Learning Objectives:

  • Learn how to apply QuickSight's ML powered anomaly detection to your dashboards and reports
  • Understand how to do predictive forecasting
  • Learn how to integrate ML powered natural language summaries into your dashboards

Who Should Attend:

  • Business Intelligence teams, Data Analysts, End Users, IT Professionals, Product Managers, AWS Partners

Level 200 | Service Intro

Learn how to get started with Amazon Corretto, a no-cost distribution of OpenJDK and understand the process to report issues and suggest improvements to Corretto and OpenJDK.

Speaker(s):  Arun Gupta, Principal OS Technologist, AWS; Yishai Galatzer, Sr. Manager, Software Engineering, AWS

Broadcast On

March 19, 2019

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Amazon Corretto is a no-cost, multiplatform, production-ready distribution of the OpenJDK. Corretto comes with long-term support including performance enhancements and security fixes. Amazon runs Corretto internally on thousands of production services and Corretto is certified as compatible with the Java SE standard. With Corretto, you can develop and run Java applications on popular operating systems, including multiple distributions of Linux, Windows, and macOS. This tech talk will walk through why Amazon Corretto was created and how to get started with Corretto. You will also learn how to report issues and suggest improvements to Corretto and the OpenJDK project.

Learning Objectives:

  • Learn how to get started with Corretto 8 and Corretto 11
  • Understand the process to report issues and suggest improvements to Corretto or OpenJDK
  • Learn why Amazon Corretto was created

Who Should Attend:

  • Software Developers, Application Developers, Software Architects, Software Development Managers, Engineering Managers

Level 200 | Fireside Chat

Learn how to transform your approach to secure desktop delivery with a cloud desktop solution like Amazon WorkSpaces.

Speaker(s): Nathan Thomas, General Manager, Amazon WorkSpaces, AWS; Mark Bowker, Sr. Analyst, ESG

March 28, 2019

9:00 AM - 10:00 AM PT

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Traditional desktop delivery has been a thorn in the side of business for many years. While many businesses have experimented with Virtual Desktop Infrastructure (VDI), they never came to fruition due to cost and complexity of on-premises infrastructure. Amazon WorkSpaces helps simplify how you deliver high performance, secure desktops for your end users using a cloud first approach. Join our Fireside Chat to hear from Enterprise Strategy Group analyst Mark Bowker and Amazon WorkSpaces GM Nathan Thomas about how companies of all sizes and in every industry vertical are using cloud desktops to modernize their desktop delivery strategy.

Learning Objectives:

  • Learn how to transform your desktop delivery strategy with cloud desktops
  • Learn about Amazon WorkSpaces for secure, managed cloud desktops
  • Learn best practices for improving security of employee laptops and desktops

Who Should Attend:

  • IT Directors, Enterprise Architects, Desktop Admins, Desktop Application Owners

Level 200 | Service Intro

Learn how to accelerate your cloud journey with AWS’s Customer Enablement Services.

Speaker(s):  John Steiner, Sr. Service Delivery Manager, AWS; Saurabh Saxena, Principal Technical Account Manager, AWS

March 26, 2019

1:00 PM - 2:00 PM PT

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86% of enterprises say they are cloud-first, but those same customers still spend 88% of their IT budget on-premises. AWS Professional Services (ProServe), AWS Managed Services (AMS) and AWS Enterprise Support are "how" enterprise customers move from experimentation and decentralized usage to large-scale migration and datacenter closure. In this tech talk, learn how we enable customers to address the biggest problems they face with cloud adoption and learn how other customers have leveraged ProServe, AMS, and Enterprise Support to empower them to go "all-in" with AWS.

Sample Questions:

  • Understand how AWS Managed Services can be your onramp and "training wheels" to achieve a cloud-first mindset
  • Learn how to leverage Enterprise Support entitlements to prevent issues before they arise
  • Learn about AWS Professional Services offerings and how they help you achieve the agility promised by cloud computing

Who Should Attend:

  • Developers, Architects, DevOps Engineers, Business Decision Makers

Level 300 | Service Deep Dive

Learn how to bring cloud services to the edge using containerized microservices by deploying AWS IoT Greengrass to your device using Docker containers and Ubuntu snaps.

Speaker(s): Tatiana Cooke, Sr. Product Manager, AWS; Alan Findley, Sr. VP Emerging Technologies, Prologis; Gary Bruns, VP Emerging Technologies, Prologis; Toban Zolman, VP Product, Rigado

March 26, 2019

9:00 AM - 10:00 AM PT

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AWS IoT Greengrass seamlessly extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass, connected devices can run AWS Lambda functions, execute predictions based on machine learning models, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Today, customers want to leverage IoT Greengrass by deploying software to a variety of devices and operating systems - whether that's a “traditional” deployment to a Linux OS, snap deployment to IoT Devices with Ubuntu Core, or deployment to machines running Docker like your dev laptop. Join us in this tech talk as we demo how to deploy IoT Greengrass and connect to local devices using Docker Containers and Ubuntu snap. We'll show you how to implement a smart fan system that uses IoT Greengrass in a Docker container on a dev laptop to help prevent your environment from overheating based on local signals and logic. We’ll also feature a customer use case describing the Warehouse of the Future from Alan Findley and Gary Bruns at Prologis Labs and a partner software implementation using Greengrass snaps from Toban Zolman at Rigado.

Learning Objectives:

  • Learn about AWS IoT Greengrass and its features
  • Use the AWS IoT console to find AWS IoT Greengrass-compatible devices
  • Deploy AWS IoT Greengrass to run on Docker using the Amazon Elastic Container Registry and configure AWS IoT Greengrass as a snap

Who Should Attend:

  • Cloud Developers, Embedded Developers, IoT Developers, ML Developers, Technical Decision Makers, Product Managers

Level 300 | Service How To

Learn about how ML workflows can be orchestrated with the rich features of Amazon SageMaker and AWS Step Functions.

Speaker(s): To Be Announced, Expert, AWS

Broadcast On

March 18, 2019

Watch On-Demand

Machine learning (ML) workflows can be orchestrated with Amazon SageMaker and AWS Step Functions. With SageMaker, you can build, train, and deploy ML models quickly and easily at scale. With Step Functions, you can add resilient serverless workflows to your applications. Workflows on Step Functions require less code to write and maintain. In this tech talk, we will talk about combining the best of both worlds by using Step Functions to automate and orchestrate ML workflows with Amazon SageMaker for an end-to-end experience for developers. AWS Step Functions will monitor the SageMaker jobs, enabling a seamless experience for your workflows.

Learning Objectives:

  • Learn about how ML workflows can be orchestrated with the rich features of Amazon SageMaker and AWS Step Functions
  • Learn about adding resilient workflows to your software applications
  • Learn to automate ML workflows with less code to write and maintain

Who Should Attend:

  • Machine Learning Practitioners, Developers, Data Scientists, Technical Decision Makers, Architects

Level 300 | Service How To

Learn how to extract text and data from any document with no prior machine learning experience.

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

March 21, 2019

1:00 PM - 2:00 PM PT

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Many companies today extract data from documents and forms through manual data entry that’s slow and expensive, or through simple optical character recognition (OCR) software that is difficult to customize. Amazon Textract overcomes these challenges by using machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code. In this tech talk, you will learn how to extract data from documents using Amazon Textract. We’ll also demonstrate how you can create smart search indexes and better maintain compliance with document archival rules once the information is captured.

Learning Objectives:

  • Learn about the features and benefits of Amazon Textract
  • Learn how to better maintain compliance with document archival using machine learning. You don’t need to know ML to get started.
  • Learn about different use cases from media & entertainment to healthcare and more

Who Should Attend:

  • Developers, Engineers, IT Professionals, Architects, Business Decisions Makers, Technical Decision Makers

Level 300 | Service How To

Learn how you can build accurate forecasts and individualized recommendation systems using our new AI services, Amazon Forecast and Amazon Personalize.

Speaker(s): Vaibhav Sethi, Sr. Product Manager, AWS; Varsha Balasubramaniam, AI Software Engineer, AWS

March 22, 2019

11:00 AM - 12:00 PM PT

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Using machine learning, developers can process a large set of various data, understand complex relationships within them, and provide accurate results that they couldn’t get with traditional methods. Machine learning is particularly useful when it comes to creating forecasts or individualized recommendation systems. In this tech talk, you will learn how to build accurate custom forecasting models and recommendation systems using Amazon Forecast and Amazon Personalize. No prior machine learning experience is required to start using these services.

Learning Objectives:

  • Get introduced to Amazon Forecast and Amazon Personalize
  • Learn how to build accurate forecasting models using your own data without prior ML experience
  • Learn how to create individualized recommendation systems for your customers without prior ML experience

Who Should Attend:

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

Level 300 | Use Case How To

Learn how AWS helps with effective inventory management and configuration compliance management of your cloud resources.

Speaker(s):  Sid Gupta, Sr. Product Manager, AWS

March 29, 2019

9:00 AM - 10:00 AM PT

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Tracking configuration changes to your cloud resources can be challenging, especially when resources are dynamic in the cloud and change quickly and frequently. Maintaining an accurate configuration change history and verifying that those changes comply with policies is critical for audit readiness, especially when operating in a highly regulated environment. In this tech talk, we'll talk about AWS tools such as AWS Config that help you with inventory management and configuration compliance, and lay an effective foundation for cloud governance.

Learning Objectives:

  • Learn why you need inventory management and configuration compliance management for your cloud resources
  • Learn what capabilities you need in a cloud configuration management database (CMDB)
  • Learn about recent launches in AWS Config

Who Should Attend:

  • Central IT Administrators, CMDB Administrators, Compliance Professionals, Cloud Architects, and Cloud Operators

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

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

Level 200 | Solutions Best Practices

Learn how to secure and accelerate your applications using AWS's Edge services in this demo-driven tech talk.

Speaker(s): Woodrow Arrington, Sr. Product Manager, AWS; Ritwik Manan, Sr. Product Manager, AWS

March 25, 2019

1:00 - 2:00 PM PT

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Need to learn how to ensure your application will withstand malicious threats and DDoS attacks? In this demo-driven tech talk, you will learn how to secure and accelerate your applications using AWS' Edge services. We will cover many of AWS' best practices for threat mitigation while still improving the performance of your applications. We will give an overview of the threats on AWS, discuss why perimeter defense helps with these threats, and discuss some key techniques that use services such as Amazon CloudFront and WAF to protect your web applications.

Learning Objectives:

  • Overview of Amazon CloudFront, AWS WAF, and AWS Shield
  • What are the key best practices when using each service for securing and accelerating your applications
  • Observe the product/configuration in action so you know how to enable these capabilities in your own environment

Who Should Attend:

  • Developers, IT Leaders, IT Decision Makers

Level 300 | Service How To

Learn how to improve your robotics application development lifecycle with AWS RoboMaker.

Speaker(s): Allan MacInnis, Principal Solutions Architect, AWS

March 28, 2019

11:00 AM - 12:00 PM PT

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Robotics development requires roboticists to use a wide variety of tools to develop, test, and deploy their robot applications. The installation and configuration of a robotics development environment is tedious and time-consuming. AWS RoboMaker provides a suite of tools to simplify the robot development lifecycle. In this tech talk, we'll use AWS RoboMaker to demonstrate the lifecycle of robot development from inception to deployment. We'll review and update the application code using AWS Cloud9, and we'll use AWS RoboMaker to simulate the application with Gazebo. Finally, we'll build, package and deploy the application to a robot using AWS RoboMaker's fleet management features.

Learning Objectives:

  • Learn about AWS RoboMaker capabilities
  • Discover how AWS Cloud9 simplifies robotics development
  • Understand the robot development lifecycle and how you can improve it

Who Should Attend:

  • Developers, Engineers, Architects, Technical Decision Makers

Level 400 | Solutions Best Practices

Learn how to build and implement remediation automations for Amazon GuardDuty and AWS Security Hub.

Speaker(s): Nathan Case, Sr. Solutions Architect, AWS

March 27, 2019

11:00 AM - 12:00 PM PT

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Code real-time with us, and we will discuss some best practices. In this tech talk, you will learn the basics of how to build and implement remediations for Amazon GuardDuty and AWS Security Hub findings. We will pick some common security findings, explain how to build an Amazon Cloudwatch Filter and AWS Step Function for them, and then we will build the code in the Console. We will use Cloudwatch, Step Functions and AWS Systems Manager automations to build a simple response system. At the end of this talk, you will learn which service to use when and why.

Learning Objectives:

  • Gain an understanding of how and why to implement Amazon Cloudwatch Events and Rules, and how to use them across AWS
  • What are AWS Step Functions for and how to use it in a security context
  • How to use AWS Systems Manager automations and when to use automations to evaluate a action and deal with the response

Who Should Attend:

  • Security Pros, IT Admins, Developers, Cloud Architects

Level 300 | Service How To

Learn how to scale your accounts and permissions management efficiently as you continue to move your workloads to AWS Cloud.

Speaker(s): Brigid Johnson, Sr. Manager, Product Management, AWS

March 27, 2019

1:00 PM - 2:00 PM PT

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In this tech talk, we will share best practices to manage permissions at scale for these workloads. We start by recommending ways you can separate workloads using accounts and AWS Organizations. Once you have an account structure that scales with your business needs, we share preventative guardrails you can enable across your AWS organization. This helps you ensure that rules of your organization are followed consistently across your workloads. With permission guardrails in place, we shift focus to granting permissions within an account. We review how you can enable developers to create Identity and Access Management(IAM) roles for the applications using permission boundaries. We also review how to develop permission rules that set granular permissions that scale as you add resources using attribute-based access control. With guardrails and scalable permissions, we show you how you can grant developers broad access enabling them to move fast building on AWS, while monitoring and reducing permissions using IAM access advisor as their access patterns settle.

Learning Objectives:

  • Understand AWS capabilities to quickly setup a manageable account structure to suit your needs
  • Learn how to set permissions guardrails and maintain consistency across your organization
  • Learn how to delegate permissions management to developers in a controlled and scalable manner

Who Should Attend:

  • Security Admins, IAM Admins, AWS Administrators, AWS Users

Level 200 | Service Intro

Learn best practices for testing and deploying AWS Lambda based applications.

Speaker(s): Chris Munns, Principal Developer Advocate, AWS

March 28, 2019

11:00 AM - 12:00 PM PT

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AWS Lambda has changed the way developers think about building applications. From the granularity of the function-as-a-service model to the event-driven paradigm, Lambda-based applications require some different practices for testing and deployment vs. traditional software development. In this tech talk, we’ll discuss various capabilities of AWS Lambda that you can use to your benefit when it comes to testing and deploying your applications; aliases, versioning, and safe deployments with rollbacks. We’ll cover how to think about environmental stages and code promotion so you can safely deploy and test your applications without impacting customers or service-level availability. We’ll also explore what is possible today for both local and AWS cloud-based testing of your Lambda-based applications.

Learning Objectives:

  • Learn how to develop a versioning and alias strategy for your Lambda functions
  • Learn how to use Lambda Safe Deployments to deploy updates with confidence
  • Learn how to perform local testing as well as hosted testing of your Lambda functions

Who Should Attend:

  • Developers

Level 300 | Service Deep Dive

Come learn how the new Amazon EFS storage class and Lifecycle Management automatically reduces cost by up to 85% for infrequently accessed files.

Speaker(s): Joe Travaglini, Sr. Product Manager, AWS; Darryl Osborne, Solutions Architect, AWS

March 25, 2019

11:00 AM - 12:00 PM PT

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In this tech talk, we introduce the Infrequent Access storage class for Amazon EFS. Amazon EFS Infrequent Access (IA) is a cost-optimized storage class for files not accessed every day, reducing storage costs by up to 85% compared to the Amazon EFS Standard storage class. Along with EFS IA, we will introduce EFS Lifecycle Management, which automatically transitions infrequently accessed files into the new storage class. Come learn how Amazon EFS Infrequent Access will work and how to get started.

Learning Objectives:

  • Learn how to benefit from the new cost-optimized Infrequent Access storage class and save up to 85% in costs storing data in your Amazon EFS file system
  • Learn about the new Lifecycle Management feature and how it automates data movement
  • Learn about the TCO advantages of migrating your on-premises workloads to the cloud leveraging the new EFS Infrequent Access storage class

Who Should Attend:

  • File system administrators and application owners who are looking to more cost-effectively run file-based applications in the cloud.

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