AWS Pi Week 2021

Amazon S3 was launched 15 years ago on Pi Day, March 14, 2006, and created the first generally available AWS service. Over that time, data storage and usage has exploded, and the world has never been the same.

Amazon S3 has virtually unlimited scalability, and unmatched availability, durability, security, and performance. Customers of all sizes and industries can use S3 to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, and big data analytics.

Attend the AWS Pi Week 4-day live, virtual event from March 15-18, 2021 hosted on the AWS channel on Twitch as we celebrate the 15th birthday of the AWS Cloud. You will hear from AWS leaders and experts as they take you back in time reviewing the history of AWS and the key decisions involved in the building and evolution of Amazon S3. We'll also dive into how you can leverage S3 to control costs and continuously optimize your spend, while building modern, scalable applications.

The event is ideal for anyone who is eager to learn more about:

  • How S3 and other AWS services are architected for availability and durability inside AWS Regions and Availability Zones
  • How S3's strong consistency model works to support many different workloads
  • The history of and best practices for S3 data security
  • How AWS architects services that provide new features and greater scalability with no disruption to customers
  • Detailed ways to move data into and out of the AWS Cloud

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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases

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Event Agenda

45 mins Keynote
  Track 1 - Get started: Moving your data to the cloud Track 2 - Building apps with modern databases Track 3 - Get started: Building your data lake Track 4 - Analyzing and getting insights
40 mins Migrate your Oracle and SQL Server databases to Amazon RDS (200) Which database to choose: Pick the right purpose-built database for the job (200) How to go from zero to data lake in days (200) Amazon Redshift use cases and deployment patterns (400)
Migrate your on-premises Data Warehouse to Amazon Redshift (200) Building large scale data-driven apps with AWS databases (300) Picking the right analytical engine for your needs (200) Processing Big Data with Hadoop, Spark, and other frameworks in Amazon EMR (300)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
Deploying open source databases on AWS (200) Databases for building business-critical enterprise apps (300) Big data in the era of heavy privacy regulations (200) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
50 mins Customer spotlight 1: How iRobot built the Roomba to use real-time data to smartly clean your home - 45 min or Customer spotlight 2: Equinox’s Data Warehouse modernization journey - 45 min Conclusion - 5 min

March 15 - 18, 2021

Virtual Event Agenda

  • View on-demand AWS Pi Week session playlist »
  • 15 years of Amazon S3: Foundations of cloud infrastructure
    Werner Vogels (VP & CTO for Amazon.com) and Mai-Lan Tomsen Bukovec (AWS VP of Block & Object Storage)
    9:00 - 9:05 AM PDT (12:00 - 12:05 PM EDT)
  • Kickoff: Amazon S3 - Continuous innovation over 15 years
    9:05 - 9:20 AM PDT (12:05 - 12:20 PM EDT)
  • Pi with a PE (Principal Engineer): Beyond eleven nines - How S3 is built for durability
    9:20 - 9:50 AM PDT (12:20 - 12:50 PM EDT)
  • Pi with a PE (Principal Engineer): Architecting for high availability on Amazon S3
    9:50 - 10:20 AM PDT (12:50 - 1:20 PM EDT) 
  • Back to the basics: Getting started with Amazon S3
    10:20 - 10:40 AM PDT (1:20 - 1:40 PM EDT) 
  • Amazon S3 foundations: Best practices for Amazon S3
    10:40 - 11:10 AM PDT (1:40 - 2:10 PM EDT) 
  • Amazon S3 storage classes primer
    11:10 - 11:30 AM PDT (2:10 - 2:30 PM EDT)
  • Optimize and manage data on Amazon S3
    11:30 - 12:00 PM PDT (2:30 - 3:00 PM EDT) 
  • Amazon S3 Replication: For data protection and application acceleration
    12:00 - 12:20 PM PDT (3:00 - 3:20 PM EDT) 
  • Backup to S3 and S3 Glacier
    12:20 - 12:40 PM PDT (3:20 - 3:40 PM EDT)

  • View on-demand AWS Pi Week session playlist »
  • 15 years of Amazon S3: Accelerating data movement
    Werner Vogels (VP & CTO for Amazon.com)     and Bill Vass (VP of Technology at AWS)
    9:00 - 9:05 AM PDT (12:00 - 12:05 PM EDT)
  • Kickoff: Building modern data lakes on Amazon S3
    9:05 - 9:25 AM PDT (12:05 - 12:25 PM EDT)
  • Harness the power of your data with the AWS Lake House Architecture
    9:25 - 9:55 AM PDT (12:25 - 12:55 PM EDT)
  • Pi with a PE (Principal Engineer): Amazon S3 Strong Consistency
    9:55 - 10:25 AM PDT (12:55 - 1:25 PM EDT)
  • Breakdown data silos - Build a data lake on Amazon S3
    10:25 - 10:45 AM PDT (1:25 - 1:45 PM EDT)
  • Modernizing your data archive with Amazon S3 Glacier
    10:45 - 11:05 AM PDT (1:45 - 2:05 PM EDT)
  • Accelerating your migration to Amazon S3
    11:05 - 11:35 AM PDT (2:05 - 2:35 PM EDT)
  • How to be successful in lift and shift migrations
    11:35 - 12:05 PM PDT (2:35 - 3:05 PM EDT)
  • Move to fully managed file storage with AWS file solutions
    12:05 - 12:35 PM PDT (3:05 - 3:35 PM EDT)
  • Managed File Transfers to Amazon S3 and EFS over SFTP, FTPS, and FTP
    12:35 - 1:00 PM PDT (3:35 - 4:00 PM EDT)

  • View on-demand AWS Pi Week session playlist »
  • 15 years of Amazon S3: Security is Job Zero
    Werner Vogels     (VP & CTO for Amazon.com) and Eric Brandwine (VP & Distinguished Engineer with AWS Security)
    9:00 - 9:05 AM PDT (12:00 - 12:05 PM EDT)
  • Kickoff: Foundations of data security
    9:05 - 9:25 AM PDT (12:05 - 12:25 PM EDT)
  • Pi with a PE (Principal Engineer): Securing Amazon S3 with guardrails and fine-grained access controls
    9:25 - 9:55 AM PDT (12:25 - 12:55 PM EDT)
  • S3 Block Public Access overview and demo
    9:55 - 10:25 AM PDT (12:55 - 1:25 PM EDT)
  • Managing Access to your Amazon S3 Buckets and Objects
    10:25 - 10:55 AM PDT (1:25 - 1:55 PM EDT)
  • Protecting your data in Amazon S3
    10:55 - 11:25 AM PDT (1:55 - 2:25 PM EDT)
  • Advanced networking with Amazon S3 and AWS PrivateLink
    11:25 - 11:55 AM PDT (2:25 - 2:55 PM EDT)
  • Demo: Amazon S3 and VPC Endpoints
    11:55 - 12:05 PM PDT (2:55 - 3:05 PM EDT)
  • Best practices for proactively identifying threats and protecting sensitive data in S3 buckets
    12:05 - 12:35 PM PDT (3:05 - 3:35 PM EDT)
  • Demo: Amazon S3 security posture management and threat detection - AWS Security Hub and Amazon GuardDuty working together
    12:35 - 12:45 PM PDT (3:35 - 3:45 PM EDT)
  • Demo: Monitor your S3 inventory and identify sensitive data at scale using Amazon Macie
    12:45 - 1:00 PM PDT (3:45 - 4:00 PM EDT)

  • View on-demand AWS Pi Week session playlist »
  • 15 years of Amazon S3: Building an evolvable system
    Werner Vogels     (VP & CTO for Amazon.com) and Mai-Lan Tomsen Bukovec (AWS VP of Block & Object Storage)
    9:00 - 9:05 AM PDT (12:00 - 12:05 PM EDT)
  • Kickoff: Serverless on Amazon S3 - continuous evolution
    9:05 - 9:25 AM PDT (12:05 - 12:25 PM EDT)
  • The best compute for your storage: Getting Started with Amazon S3 and AWS Lambda
    9:25 - 9:50 AM PDT (12:25 - 12:50 PM EDT)
  • Live coding: Uploading media to S3 from web and mobile applications
    9:50 - 10:20 AM PDT (12:50 - 1:20 PM EDT)
  • Building serverless applications with Amazon S3
    10:20 - 10:45 AM PDT (1:20 - 1:45 PM EDT)
  • Accelerating data sharing among your serverless containers and functions with Amazon EFS
    10:45 - 11:15 AM PDT (1:45 - 2:15 PM EDT)
  • S3 to AWS Lambda: A flexible pattern at the core of serverless applications
    11:15 - 11:45 AM PDT (2:15 - 2:45 PM EDT)
  • S3 Object Lambda: Add your own code to S3 GET requests to modify and process data as its returned to applications
    11:45 - 12:05 PM PDT (2:45 - 3:05 PM EDT)
  • Demo: S3 Object Lambda
    12:05 - 12:20 PM PDT (3:05 - 3:20 PM EDT)

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  • Track1 Session 1
  • Track2 Session 1
  • Track3 Session 1
  • Track4 Session 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Track1 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track2 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track3 Session 1

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Track4 Session 1

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Track5 Session 1

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Track6 Session 1

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Track7 Session 1

Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Multiple City Registration

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Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

Learning Objectives

  • Learn how AWS Outposts provides the same AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility.

  • Learn how AWS Outposts can help common hybrid use cases and industry vertical examples.

  • Learn common AWS Outpost architectures and how to operate your workloads in the Outpost using the services you already use today in the AWS Regions.

Who Should Attend?

  • CIO, CTO, VP, Infrastructure & Operations (I&O), Cloud Architect, Dir/Sr. Mgr. I&O, IT Director, IT Manager

  • Systems Administrator, DevOps Engineer, Network Administrator, Database Administrator, Systems Analyst, Database Administrator, Information Security Analyst
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  • Joshua Burgin, General Manager, AWS Outposts

  • Matt Luker, Principal Engineer, AWS Outposts

  • Rob Czarnecki, Principal Product Manager Tech, AWS Outposts

  • Meena Gowdar, Principal Product Manager Tech, AWS Outposts

  • Kishore Inampudi, Sr. Product Manager Tech, AWS Outposts

  • Tatiana Cooke, Sr. Product Manager Tech, AWS Outposts

  • Matt Lewhess, Principal Developer Advocate, AWS Outposts

Customer Highlights

Epic Logo Image
Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

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