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[You're Invited] AWS Online Tech Talks

AWS Monthly Webinar Series

The AWS Webinar Series is a selection of live online presentations that cover a broad range of topics at varying technical levels. These webinars feature technical sessions led by AWS solutions architects and engineers, live demonstrations, customer examples, and Q&A with AWS experts.

Featured Sessions

Test your Android App with Espresso and AWS Device Farm: Learn how to automate interactions with your Android application using Espresso, and then run those tests across many real devices with AWS Device Farm.

Deep Dive on Mobile Hub for Enterprise Mobile Applications: Build mobile apps faster with AWS Mobile Hub

Amazon Elasticsearch Service with Elasticsearch 5 and Kibana 5: Run your log analytics, full text search, and application monitoring use cases

DNS DDoS mitigation using Amazon Route 53 and AWS Shield: Reduce your DNS DDoS risks and application downtime

Getting Started with AWS IoT: Learn how AWS IoT makes it easy to connect to the cloud

Best Practices for NoSQL Workloads on Amazon EC2 and Amazon EBS: Dive deep on deploying NoSQL on Amazon EC2 with Amazon EBS

Best Practices with IoT Security: Introduce best practices for IoT security in the cloud

Migrate from SQL Server or Oracle into Amazon Aurora using AWS Database Migration Service: Migrate from a commercial database into Amazon Aurora to improve application performance and decrease database costs

Deep Dive on Elastic File System: See live demos and learn tips and tricks for optimizing your file storage on EFS

Deep Dive on Amazon Redshift: Run your data warehousing with Amazon Redshift and analyze all of your data using your existing business intelligence tools for a fraction of the cost of traditional solutions

Deep Dive of Flink & Spark on Amazon EMR: Deploy and scale Apache Spark and Flink clusters on AWS

Consolidate MySQL Shards Into Amazon Aurora Using AWS Database Migration Service: Learn how to scale your MySQL database at reduced cost and higher elasticity by consolidating multiple shards into one Amazon Aurora cluster.

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