AWS Summit Online 2020
| title | author | length |
|---|---|---|
| Getting More Out of Amazon EC2 | Matt Thomson | 31m |
Amazon EC2 now offers ~275 instance types, custom Nitro virtualization, EBS with five nines durability, and Graviton2 instances that claim about 44% faster… | ||
| Introduction to AWS Security | Myles Hosford | 27m |
Covers the AWS Shared Responsibility Model and maps controls to NIST categories while naming concrete services and outcomes: AWS Systems Manager for automated… | ||
| Introduction to Data-Driven Customer Engagement | Gabe Hollombe | 21m |
Overview of a contact center built from Amazon's internal GACD now offered as Amazon Connect with unified voice and chat, turnkey setup in five steps, five… | ||
| A Path to Event Sourcing With Amazon MSK | James Ousby | 31m |
A Java personal-banking demo implements event sourcing on Amazon MSK, with three Fargate containers (write API, projection, read API) deployed via a CDK… | ||
| Advanced VPC Connectivity Patterns | Brett Looney | 29m |
Explains concrete patterns: classic Direct Connect private VIF creates one VLAN and one BGP session per VPC, while Direct Connect Gateway presents a single… | ||
| AWS DeepRacer: Train, Evaluate, and Tune | Donnie Prakoso | 37m |
AWS DeepRacer is a hands‑on RL system that trains 1/18‑scale cars in a Robomaker simulator, using SageMaker for PPO model updates and storing logs/models in… | ||
| Deep Dive Into AWS Lake Formation | Syed Jaffry | 28m |
Shows how to build a working secure data lake on S3 using AWS Lake Formation with three buckets landing / processed / published, ingest via Lake Formation… | ||
| How to Drive Economic Value Through Cost Management and Optimisation | Nathan Besh | 21m |
Explains concrete cost actions: use the Well-Architected tool and labs plus cloud financial management to measure, get an improvement plan, and train finance… | ||
| Kubernetes GitOps on AWS | Jason Umiker | 23m |
Demonstration shows a Ghost blog deployed to EKS with Git-driven infrastructure: a branch merge triggers CodePipeline/CodeBuild to run AWS CDK, which creates a… | ||
| Move Your Desktops and Applications to AWS End-User Computing | Eshaan Anand | 31m |
Amazon IT runs Amazon WorkSpaces, AppStream 2.0 and WorkDocs to deliver cloud desktops and streamed apps that are domain‑joined, integrate with AD, use PCoIP… | ||
| Purpose-Built Databases for Modern Applications | Blair Layton | 29m |
Claims that Amazon uses multiple purpose-built stores for scale and gives exact numbers: DynamoDB handles 7.11 trillion API calls with peaks at 45.4 million… | ||
| The Art of the State: Coordinating Services Using AWS Step Functions | Gabe Hollombe | 28m |
Shows how AWS Step Functions runs JSON state machines (Amazon States Language) to orchestrate Lambda, Fargate, SageMaker and other services, using task token… | ||
| The Effortless Development of Custom Computer Vision Models | Sara van de Moosdijk | 40m |
A sign-language classifier is built from 764 images (12 labels) by stitching nine frames into a 3x3 grid and training with ResNet-18 transfer learning on… | ||
| Best Practices for Producing High-Quality Deep Learning Systems | Antoine Genereux | 31m |
Best practices for building and deploying production-quality deep learning systems on AWS, covering AWS machine learning services and complementary AWS… | ||
| Getting More Out of Amazon EC2 | Jonathan Dion | 31m |
Overview of Amazon EC2 instance types and how to choose them for different workloads, plus strategies to scale compute capacity while minimizing TCO using EC2… | ||
| Introduction to AWS Security Measures at Scale | Eric Gauthier | 27m |
Explains AWS’s shared responsibility model and outlines key AWS security services used to implement controls aligned with the NIST Cybersecurity Framework… | ||
| Purpose-Built Databases for Modern Applications | Carlos Castorani | 33m |
The talk explains why modern applications use multiple purpose-built databases instead of a single monolithic database, and catalogs AWS database… | ||
| On the Cutting Edge: Orchestrating Services with AWS Step Functions | Jonathan Dion | 39m |
Overview of common microservice coordination and debugging challenges and how AWS Step Functions addresses them. Explains using AWS Step Functions to build… | ||
| Best Practices for Implementing a Data Lake in Amazon S3 | Kumar Nachiketa | 34m |
Argues that Amazon S3 is the storage foundation for scalable data lakes and shows concrete customer results: Viper processes 10–15 billion events/day (peaks… | ||
| Cloud Operating Models for Accelerated Transformation | Phon Hansana | 27m |
Argues that shifting from siloed IT to a cloud operating model reduces time to value by aligning IT and business outcomes and delegating control after building… | ||
| Fraud Detection: Using ML to Identify and Manage Fraudulent Activities | Eric Greene | 39m |
Amazon Fraud Detector is a fully managed service that builds and hosts custom fraud models from uploaded S3 data, augments features (geo, network, issuer), and… | ||
| Streamlining Machine Learning Operations | Kapil Pendse | 37m |
Describes how Amazon SageMaker turns a brittle, black‑box ML workflow into an integrated pipeline: SageMaker Debugger halts training and logs tensor state for… | ||
| A Modern Application Builder’s Guide to Testing | Bikram Bora | 28m |
Shows concrete tooling and outcomes: uses CodeGuru Reviewer for automated PR suggestions and CodeGuru Profiler for runtime hotspots, integrates local emulation… | ||
| Accelerate and Simplify Your Data Migration Journey to AWS | Wali Akbari | 27m |
Concrete migration recipes and measured results: AWS DataSync uses a purpose-built agent and protocol (up to 10 Gbps per agent), preserves file metadata… | ||
| Application Integration Patterns for Microservices | Anshul Sharma | 27m |
Compares concrete messaging patterns for microservices and shows when they beat REST by quantifying tradeoffs: uses publish–subscribe and point-to-point… | ||
| AWS Networking Fundamentals | Aarthi Raju | 28m |
Covers concrete VPC building blocks: choose a VPC CIDR from /16 to /28 and subnets per AZ, auto‑assigned public IPs versus persistent Elastic IPs, attach an… | ||
| Balancing Agility and Governance of Third-Party Software and Data | Chris Grusz | 32m |
AWS Marketplace and AWS Data Exchange present concrete controls: a catalog with over 1,500 ISVs and 7,000 listings, 260,000 monthly active customers and 850… | ||
| Best Practices for Building Production-Grade Deep Learning Systems | Pedro Paez | 23m |
Demonstration shows concrete paths to production: use BERT on MXNet Gluon trained on movie reviews to 94–95% test accuracy, running on p3.8xlarge GPUs in about… | ||
| Building Serverless Applications with AWS Amplify | Derek Bingham | 33m |
AWS Amplify provisions backend APIs, storage, auth and CI/CD from the CLI, the demos actually push a GraphQL schema with @model, @connection and @auth to… | ||
| CI/CD at Scale: Best Practices with AWS DevOps Services | Loh Yang Meng, Martin Lim, Arshad Zackeriya | 23m |
Explains how AWS teams implement repeatable CI/CD at scale using CodePipeline, CodeBuild, CodeDeploy and infrastructure-as-code with AWS CDK to cut manual… | ||
| Enterprise Cloud Migration Meets Application Containerization | Gaurav Arora | 27m |
Five-phase migration map plus six application patterns guide container moves with concrete tooling and limits: use Amazon ECR for image hosting and scanning… | ||
| Harnessing the Full Potential of IoT Data with AWS | Tom McMeekin | 36m |
Demo shows AWS IoT SiteWise ingesting OPC UA from a wind farm via a SiteWise collector on AWS IoT Greengrass, modeling 3 turbines, 2 PLCs each into asset… | ||
| Industrial Machine Performance Insights with AWS IoT Services | Timothee Cruse | 26m |
Live demo connects simulated OPC UA gateways and EC2/Cloud9 generators to AWS IoT Greengrass and AWS IoT Core, forwards MQTT to AWS IoT SiteWise, and models… | ||
| Machine Learning Ops: DevOps for Data Science | Julian Bright | 43m |
End-to-end pipeline using Amazon SageMaker with CodePipeline/CodeBuild, CloudFormation, CodeDeploy and Lambda automates training, deployment and monitoring for… | ||
| Making Sense of Chaos: Operational Visibility in Distributed Systems | Arthi Jaganathan | 29m |
A microservices retail app is deployed using Cognito, AppSync, Lambda, DynamoDB and Fargate with a Locust load generator; metrics use CloudWatch Embedded… | ||
| Modernize Your Data Warehouse | Aneesh Chandra PN | 28m |
Cloud data warehouses are less expensive, easier to use, and faster than legacy on-premises data warehouses, but they still have an easy migration process that… | ||
| Realizing the Business Value of Modernizing | Gabe Hollombe | 26m |
Cloud modernization is quantified using the AWS Cloud Adoption Framework and four measurable pillars cost savings, staff productivity, operational resilience… | ||
| SaaS Migration: Moving From Single-Tenant to Multi-Tenant on AWS | Tod Golding | 31m |
Three concrete migration patterns and their tradeoffs: silo lift-and-shift clones one VPC per tenant for fastest time to market but higher ops cost; layered… | ||
| Streaming and Real-Time Analytics | Donnie Prakoso | 35m |
Covers concrete streaming stacks and outcomes: uses Amazon Kinesis Data Streams, Firehose, Kinesis Data Analytics, MSK, Lambda, S3, DynamoDB, Redshift… | ||
| Tuning Your Cloud: Improve Global Network Performance for Applications | Richard Wade | 26m |
Explains concrete levers: use CloudFront edges reduce RTT to ~30ms (vs 150ms origin), enable 9K jumbo frames and Nitro-backed EC2 for up to 90 Gbps, 27 µs… | ||
| Turn Data Into Insights | Gabe Hollombe | 22m |
Epic Games processes over 14 petabytes in S3 and grows by petabytes per month, ingesting telemetry through Amazon Kinesis → split real-time and batch pipelines… | ||
| What's New in AWS File Storage | Kumar Nachiketa | 30m |
Covers concrete feature and deployment details: Amazon EFS supports NFS v4, petabyte scale, stores data across three AZs, offers EFS Infrequent Access saves up… | ||
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