AWS re:Invent 2017

Latest Episodes:

GPSTEC309: GPS: SaaS Monitoring - Creating a Unified View of Multitenant Health Featuring New Relic Dec 01, 2017

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Supporting a multitenant environment requires a robust management and monitoring strategy. SaaS operations teams require tools and views of system health that enable them to analyze and diagnose both multitenant and tenant-centric issues. The goal of this session is to identify specific strategies and tools that can be combined to support the unique set of operational challenges that SaaS providers face. In this session, we look at how analytics, consumption, and application metrics can correlate tenant activity with system health to proactively identify and troubleshoot issues. We also explore techniques for monitoring and managing different SaaS tenant isolation models, such as silo, pool, and so on.

GPSTEC310: GPS: IAM Best Practices and Becoming an IAM Ninja Dec 01, 2017

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AWS Identity and Access Management (IAM) is the foundation that all AWS services require to function and perform any action. Mastering IAM is the skill set you need in your arsenal so that you can provide best-in-breed services through your application or services to your customers. This session shows you best practices for IAM, the latest service additions, and advanced automation techniques to become a certified IAM ninja.

GPSTEC311: GPS: Enhancing Customer Security Using AI/ML on AWS Dec 01, 2017

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Data exfiltration—also called data extrusion, data exportation, or data theft—is the unauthorized transfer of data. It is a very serious challenge to business because attackers go after business critical or highly confidential data. Data exfiltration can be done manually by a person, or automated using scripts. Attack sophistication increases by the day. Signature-based techniques to defend against attacks are limited and cannot protect against zero-day attacks. To counter this, we use machine learning (ML) techniques. ML is effective at solving many problems in computer vision, robotics, etc., and is increasingly used in security. Learn an ML technique called anomaly detection, and other state-of-the-art techniques to identify data exfiltration attempts.

GPSTEC312: GPS: SAP HANA HA on AWS: Preventing Production Facepalms Dec 01, 2017

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AWS provides a suite of services and tools to deploy business-critical SAP HANA workloads on the AWS Cloud. In this session, we discuss how you can use AWS services, native SAP HANA high availability (HA) tools, and third-party software to achieve HA for SAP HANA systems on the AWS Cloud. We review multiple options that use different AWS features, Availability Zones, and global regions, and discuss the pros, cons, and related costs of each option.

GPSTEC313: GPS: Real-Time Data Processing with AWS Lambda Quickly, at Scale, and What Comes Next? Dec 01, 2017

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Real-time data processing is a powerful technique that allows businesses to make agile automated decisions. This process is particularly powerful when applied to workloads like security, analyzing access logs, parsing audit logs, and monitoring API activity to detect behavior anomalies. Combined with automation, business can quickly take action to remediate security concerns, or even train a machine learning (ML) model. We explore different techniques for analyzing real-time streams on AWS using Lambda, Amazon Kinesis, Spark with Amazon EMR, and Amazon DynamoDB. We also cover best practices around short- and long-term storage and analysis of data and, briefly, the possibility of leveraging ML.

GPSTEC314: GPS: From Monolithic to Serverless – Why and How to Move Dec 01, 2017

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Is your customer worried about scaling their monolithic application for an upcoming major event and has a tight timeline? Maybe it's time you recommend moving their application to a microservices architecture. In this session, we explore how to convert a monolithic application to a microservices model by using AWS serverless services such as AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. We step through the common architectural changes in moving to a microservices structure, and we discuss how to manage your application at scale. We also demonstrate a web application built using AWS serverless services.

GPSTEC315: GPS: Optimizing Tips: Amazon Redshift for Cloud Data Warehousing Dec 01, 2017

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Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. A proper data model is an integral part of an optimal Amazon Redshift deployment. It allows you to scale efficiently in a cost-effective manner to meet your increasing demand. In this session, I offer tips to help you optimize your Amazon Redshift deployment.

GPSTEC316: GPS: Image management Best Practices for Amazon WorkSpaces Dec 01, 2017

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Desktop and Application Streaming solutions provide the "last mile” between users and their applications and data. In this session, we will review the elements and benefits of the layered desktop image, application dependencies, and lifecycle management of desktops. Liquidware Labs, a APN partner, will showcase their toolset that helps customers deploy on AWS with ease. This deep dive on desktop image management for Amazon WorkSpaces will focus on enterprise organizations migrating to the cloud and will benefit engineers and system administrators that are new to this space as well as experienced architects with existing deployments on AWS.

GPSTEC317: GPS: From Leaves to Lawns: AWS Greengrass at the Edge and Beyond Dec 01, 2017

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AWS Greengrass provides a wide range of opportunities from IoT gateway applications to building systems like those with microservice architectures. In this session, we first evaluate how AWS Greengrass fits into OEM, ODM, and IT service delivery models. We then wade into a gentle overview of AWS Greengrass and how it interoperates with AWS IoT and other AWS services. We walk through several key AWS Greengrass distributed architectures. Next, to help you accelerate your solution using AWS Greengrass, we discuss how AWS Greengrass fits into the AWS Cloud development and delivery model. The talk wraps up with a demonstration of AWS Greengrass facilitating communication between a closed machine to machine (M2M) network and AWS IoT.

GPSTEC318: GPS: IoT Security from Manufacturing to Maintenance Dec 01, 2017

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The threat model for IoT devices is very different from the threat model for cloud applications. Customers must understand what these threats are, prioritize them effectively, and navigate the growing ecosystem of partners that give customers tools to build secure IoT solutions. We showcase how to leverage partner solutions to mitigate threats, explain how to avoid common pitfalls, and make it clear that all IoT solutions must incorporate end-to-end security from the start. We begin with the steps to take in the manufacturing process, how to provision and authenticate devices in the field, and we cover solutions that can help customers comply with IT requirements in the maintenance phase of the product lifecycle.

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