Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We recently introduced several new features, such as Serverless, Multi-Master, Parallel Query, Backtrack, and Performance Insights. Bring your questions about these features or any other Aurora topic.
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
Best Practices for Running SQL Server on Amazon RDS (DAT323) - AWS re:Invent ...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) provides a managed service to run SQL Server databases in AWS. While Amazon RDS handles provisioning and maintaining the SQL Server instance, there are things you can do to ensure that the SQL Server instance is healthy. We'll review some best practices involved in configuring the Amazon RDS SQL Server instance, focusing on availability, security and migration. We'll also hear from our customer Allstate, sharing details about their use of Amazon RDS.
Developing with .NET Core on AWS: What's New (DEV318-R1) - AWS re:Invent 2018Amazon Web Services
In this demonstration-heavy session, we illustrate our latest techniques, tools, and libraries for developing end-to-end applications with .NET Core. We focus on serverless applications, but the techniques are broadly relevant. We start by showing you some useful features and best practices for authoring your serverless application, including debugging locally from the IDE and in production. From there, we demonstrate some helpful tools that make it easy to set up your CI/CD workflow from the start. Finally, we deploy our application with AWS Lambda.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
According to AWS, Amazon Aurora is the fastest growing service in the company’s history. Many businesses are looking for guidance on how to successfully move to and manage their data on Aurora. Do you know how to launch and configure a cluster on Aurora to ensure that your high-availability and performance requirements are met? Join Eric Johnson, AWS Evangelist at Rackspace, to discuss high availability and replication on Aurora, including extending the replication patterns to meet your application’s needs. He also covers how to choose the right endpoints to optimize writes and reads, as well as the future of Aurora. Spoiler: It’s serverless!
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
Amazon Aurora Multi-Master: Scaling Out Database Write Performance (DAT415) -...Amazon Web Services
In this session, learn how the Multi-Master capability of Amazon Aurora MySQL enables applications to scale out write performance and achieve continuous read/write availability. Engineering experts dive into the design concepts of Aurora Multi-Master, and provide real-world advice on deploying high-throughput, highly available workloads in Aurora.
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
Best Practices for Running SQL Server on Amazon RDS (DAT323) - AWS re:Invent ...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) provides a managed service to run SQL Server databases in AWS. While Amazon RDS handles provisioning and maintaining the SQL Server instance, there are things you can do to ensure that the SQL Server instance is healthy. We'll review some best practices involved in configuring the Amazon RDS SQL Server instance, focusing on availability, security and migration. We'll also hear from our customer Allstate, sharing details about their use of Amazon RDS.
Developing with .NET Core on AWS: What's New (DEV318-R1) - AWS re:Invent 2018Amazon Web Services
In this demonstration-heavy session, we illustrate our latest techniques, tools, and libraries for developing end-to-end applications with .NET Core. We focus on serverless applications, but the techniques are broadly relevant. We start by showing you some useful features and best practices for authoring your serverless application, including debugging locally from the IDE and in production. From there, we demonstrate some helpful tools that make it easy to set up your CI/CD workflow from the start. Finally, we deploy our application with AWS Lambda.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Optimizing Amazon EBS for Performance (CMP317-R2) - AWS re:Invent 2018Amazon Web Services
Key techniques and practices while using Amazon EBS can help push performance and optimize spend. In this session, learn how to optimize storage performance and costs for Amazon EBS using tools such as Amazon CloudWatch, AWS Trusted Advisor, and third-party tools such as Cloudability.
According to AWS, Amazon Aurora is the fastest growing service in the company’s history. Many businesses are looking for guidance on how to successfully move to and manage their data on Aurora. Do you know how to launch and configure a cluster on Aurora to ensure that your high-availability and performance requirements are met? Join Eric Johnson, AWS Evangelist at Rackspace, to discuss high availability and replication on Aurora, including extending the replication patterns to meet your application’s needs. He also covers how to choose the right endpoints to optimize writes and reads, as well as the future of Aurora. Spoiler: It’s serverless!
What's New in Amazon Aurora (DAT204-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. This session provides an overview of Aurora, explores recently announced features, such as Serverless, Multi-Master, and Performance Insights, and helps you get started.
Amazon Aurora Multi-Master: Scaling Out Database Write Performance (DAT415) -...Amazon Web Services
In this session, learn how the Multi-Master capability of Amazon Aurora MySQL enables applications to scale out write performance and achieve continuous read/write availability. Engineering experts dive into the design concepts of Aurora Multi-Master, and provide real-world advice on deploying high-throughput, highly available workloads in Aurora.
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
Replicate & Manage Data Using Managed Databases & Serverless Technologies (DA...Amazon Web Services
Organizations often have disparate datasets and find it challenging to replicate and analyze the data to drive positive business outcomes. This workshop leverages AWS managed database services and serverless technologies to help replicate, manage, and analyze data using an MLB dataset. We replicate a SQL Server database to Amazon Aurora Serverless using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool. At the same time, we use AWS Glue, a serverless ETL service, to transform and load the data to Amazon S3. We then use Amazon Athena to interactively analyze data using SQL to enable better business decisions. In the course of this workshop, we use: Amazon EC2, Amazon Aurora Serverless, AWS DMS, Amazon Athena, AWS Glue, and Amazon S3. Have an AWS account and some experience with databases and SQL. Bring your own laptop
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Migrating Financial and Accounting Systems from Oracle to Amazon DynamoDB (DA...Amazon Web Services
In this session, we discuss our learnings from migrating the financial ledger and accounting system that Amazon uses from Oracle to AWS. We share the performance and cost benefits to enterprises who migrate critical systems from Oracle to AWS, the decision frameworks used to pick the appropriate AWS service for appropriate application, and best practices in project management.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Real-World Use Cases for Amazon DynamoDB (DAT333) - AWS re:Invent 2018Amazon Web Services
Build (or test!) your DynamoDB chops in this chalk talk where we work together to design data models and solutions for real-world use cases using DynamoDB. Share your experiences and best practices, and ask questions of DynamoDB experts.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Migrating Your Data Warehouse to Amazon Redshift (DAT337) - AWS re:Invent 2018Amazon Web Services
Gain in-depth knowledge and best practices for migrating commercial data warehouses to Amazon Redshift using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT). We use an example based on an Oracle data warehouse, and we discuss approaches to migrate it to Amazon Redshift. We also discuss some of the common challenges, limitations, and workarounds, as well as the option of using AWS Snowball to migrate very large data warehouses to Amazon Redshift.
Accelerating Application Development with Amazon Aurora (DAT312-R2) - AWS re:...Amazon Web Services
In this session, learn how to leverage the unique features of the Amazon Aurora platform to build faster, more scalable database applications optimized for the cloud. We discuss architectural best practices and features, such as Aurora Serverless, Read Replica Auto-Scaling, Cross-Region Replicas, Backtrack, Fast Database Cloning, and Performance Insights. They are designed to help increase agility so you can develop applications faster to reach the widest possible audience. Through a hands-on lab, we help you understand how to best take advantage of the capabilities of the Aurora platform to effectively accelerate application development.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
Migrating Massive Databases and Data Warehouses to the Cloud - ENT327 - re:In...Amazon Web Services
Databases continue to grow to be multiple terabytes in size, but migrating to the cloud doesn't have to take days or create disruption for your business. To perform data migration at petabyte scale with minimal impact to your business, you can now use the new combination of AWS Database Migration Service replication agents and AWS Snowball. In this session, we discuss how to extract large-scale data from an on-premises Oracle database and migrate it to Amazon Aurora. We then outline a step-by-step process for converting your Oracle schema to a PostgreSQL-based schema.
Build on Amazon Aurora with MySQL Compatibility (DAT348-R4) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. Join this session, and get started with the MySQL-compatible edition, discuss your existing application running on Aurora, or learn about recently announced features, such as Serverless or Parallel Query.
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Accelerate Database Development and Testing with Amazon Aurora (DAT313) - AWS...Amazon Web Services
Build faster, more scalable database applications with Amazon Aurora, a MySQL- and PostgreSQL-compatible relational database built for the cloud. We cover Aurora Serverless, which automatically scales your database up and down to meet demand; Fast Database Cloning, which makes data instantly available for application development; Backtrack, which rolls back your database between test runs; and Performance Insights, which helps assess the load on your database and optimize your SQL queries.
Replicate & Manage Data Using Managed Databases & Serverless Technologies (DA...Amazon Web Services
Organizations often have disparate datasets and find it challenging to replicate and analyze the data to drive positive business outcomes. This workshop leverages AWS managed database services and serverless technologies to help replicate, manage, and analyze data using an MLB dataset. We replicate a SQL Server database to Amazon Aurora Serverless using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool. At the same time, we use AWS Glue, a serverless ETL service, to transform and load the data to Amazon S3. We then use Amazon Athena to interactively analyze data using SQL to enable better business decisions. In the course of this workshop, we use: Amazon EC2, Amazon Aurora Serverless, AWS DMS, Amazon Athena, AWS Glue, and Amazon S3. Have an AWS account and some experience with databases and SQL. Bring your own laptop
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Migrating Financial and Accounting Systems from Oracle to Amazon DynamoDB (DA...Amazon Web Services
In this session, we discuss our learnings from migrating the financial ledger and accounting system that Amazon uses from Oracle to AWS. We share the performance and cost benefits to enterprises who migrate critical systems from Oracle to AWS, the decision frameworks used to pick the appropriate AWS service for appropriate application, and best practices in project management.
Deep Dive on PostgreSQL Databases on Amazon RDS (DAT324) - AWS re:Invent 2018Amazon Web Services
In this session, we provide an overview of the PostgreSQL options available on AWS, and do a deep dive on Amazon Relational Database Service (Amazon RDS) for PostgreSQL, a fully managed PostgreSQL service, and Amazon Aurora, a PostgreSQL-compatible database with up to 3x the performance of standard PostgreSQL. Learn about the features, functionality, and many innovations in Amazon RDS and Aurora, which give you the background to choose the right service to solve different technical challenges, and the knowledge to easily move between services as your requirements change over time.
Real-World Use Cases for Amazon DynamoDB (DAT333) - AWS re:Invent 2018Amazon Web Services
Build (or test!) your DynamoDB chops in this chalk talk where we work together to design data models and solutions for real-world use cases using DynamoDB. Share your experiences and best practices, and ask questions of DynamoDB experts.
Going Deep on Amazon Aurora Serverless (DAT427-R1) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Migrating Your Data Warehouse to Amazon Redshift (DAT337) - AWS re:Invent 2018Amazon Web Services
Gain in-depth knowledge and best practices for migrating commercial data warehouses to Amazon Redshift using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT). We use an example based on an Oracle data warehouse, and we discuss approaches to migrate it to Amazon Redshift. We also discuss some of the common challenges, limitations, and workarounds, as well as the option of using AWS Snowball to migrate very large data warehouses to Amazon Redshift.
Accelerating Application Development with Amazon Aurora (DAT312-R2) - AWS re:...Amazon Web Services
In this session, learn how to leverage the unique features of the Amazon Aurora platform to build faster, more scalable database applications optimized for the cloud. We discuss architectural best practices and features, such as Aurora Serverless, Read Replica Auto-Scaling, Cross-Region Replicas, Backtrack, Fast Database Cloning, and Performance Insights. They are designed to help increase agility so you can develop applications faster to reach the widest possible audience. Through a hands-on lab, we help you understand how to best take advantage of the capabilities of the Aurora platform to effectively accelerate application development.
Building with AWS Databases: Match Your Workload to the Right Database (DAT30...Amazon Web Services
We have recently seen some convergence of different database technologies. Many customers are evaluating heterogeneous migrations as their database needs have evolved or changed. Evaluating the best database to use for a job isn't as clear as it was ten years ago. We'll discuss the ideal use cases for relational and nonrelational data services, including Amazon ElastiCache for Redis, Amazon DynamoDB, Amazon Aurora, Amazon Neptune, and Amazon Redshift. This session digs into how to evaluate a new workload for the best managed database option. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Best Practices for Migrating Oracle Databases to the Cloud - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Learn how to migrate Oracle databases to the cloud
- Learn how to run additional components of the Oracle stack on AWS
- Get acquainted with other database options on AWS
Deep Dive on Amazon Elastic Block Storage (Amazon EBS) (STG310-R1) - AWS re:I...Amazon Web Services
In this session, we explore the persistent local disk storage service for Amazon EC2 and its targeted use cases. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate to use with Amazon EBS, and details about its performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate block-based applications or SANs.
Migrating Massive Databases and Data Warehouses to the Cloud - ENT327 - re:In...Amazon Web Services
Databases continue to grow to be multiple terabytes in size, but migrating to the cloud doesn't have to take days or create disruption for your business. To perform data migration at petabyte scale with minimal impact to your business, you can now use the new combination of AWS Database Migration Service replication agents and AWS Snowball. In this session, we discuss how to extract large-scale data from an on-premises Oracle database and migrate it to Amazon Aurora. We then outline a step-by-step process for converting your Oracle schema to a PostgreSQL-based schema.
Build on Amazon Aurora with MySQL Compatibility (DAT348-R4) - AWS re:Invent 2018Amazon Web Services
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. Join this session, and get started with the MySQL-compatible edition, discuss your existing application running on Aurora, or learn about recently announced features, such as Serverless or Parallel Query.
Deep Dive on Amazon Aurora MySQL Performance Tuning (DAT429-R1) - AWS re:Inve...Amazon Web Services
Amazon Aurora offers several options for monitoring and optimizing MySQL database performance. These include Enhanced Monitoring and Performance Insights, an easy-to-use tool for assessing the load on your database and identifying slow-performing queries. In this session, learn how to tune the performance of your Aurora database with MySQL compatibility, whether your application is in development or in production.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
Introducing Amazon Aurora with PostgreSQL Compatibility - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about optimizing relational databases for the cloud
- Learn about Amazon Aurora scalability and high availability
- Learn about Amazon Aurora compatibility with PostgreSQL
Amazon Aurora with PostgreSQL Compatibility is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. We review the functionality in order to understand the architectural differences that contribute to improved scalability, availability, and durability. We also dive deep into the capabilities of the service and review the latest available features. Finally, we walk through the techniques that can be used to migrate to Amazon Aurora.
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. It combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this session, we cover some of the key innovations in the database engine and storage layers, explain recently announced features, such as Aurora Serverless, Aurora Multi-Master, and Aurora Parallel Query, and discuss best practices and optimal configurations. See why Aurora is a great fit for new application development and for migrations from overpriced, restrictive commercial databases.
Amazon Aurora is a relational database built for the cloud and is compatible with MySQL and PostgreSQL. It combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. In this session, we cover some of the key innovations in the Aurora database engine and storage layers. We explain recently announced features, such as Aurora Serverless, Aurora Multi-Master, and Aurora Parallel Query, and we discuss best practices and optimal configurations. See why Aurora is a great fit for new application development and for migrations from overpriced, restrictive commercial databases.
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Amazon Aurora is a relational database built for the cloud and is compatible with MySQL and PostgreSQL. It combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. We'll cover some of the key innovations in the Aurora database engine and storage layers, explain recently announced features, such as Aurora Serverless, Aurora Multi-Master, and Aurora Parallel Query, and discuss best practices and optimal configurations. See why Aurora is a great fit for new application development and for migrations from overpriced, restrictive commercial databases.
by Joe Idziorek & Mahesh Pakala
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Deep Dive on Amazon Neptune (DAT403) - AWS re:Invent 2018Amazon Web Services
What can you do with Apache TinkerPop and Gremlin or RDF and SPARQL? How does Neptune provide multi-Availability Zone high availability? Learn about the features and details of Amazon's fully managed graph database service.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
[NEW LAUNCH!] [REPEAT 1] Amazon FSx for Lustre: How to build and deploy file ...Amazon Web Services
If you have compute-intensive workloads like high-performance computing, machine learning, and media processing then this is the workshop for you. Our new file storage service, Amazon FSx for Lustre, provides high-performance storage with fully managed Lustre file systems that can deliver hundreds of gigabytes of throughput and consistent low latencies. You will learn how to spin up an FSx for Lustre file system in minutes, feed data to it from an S3 data lake automatically, run analyses while periodically writing results back to S3, and then spin down the file system once the workload is finished.
How to Build Multi-Region Applications in the Cloud: AWS Developer Workshop -...Amazon Web Services
How to Build Multi-Region Applications in the Cloud: AWS Developer Workshop - Web Summit 2018
Customers are often looking at running their services at global scale, deploying their backend in multiple regions. This hands-on talk will walk you through understanding why and how customers are building and deploying multi-region architecture. I will then walk you through deploying a multi-region, active-active serverless backend leveraging Amazon Route 53 to route the traffic between regions, API Gateway and AWS Lambda for the backend and DynamoDB Global tables for multi-region, multi-master for handling the data storage at global scale.
Demo and hands-on code guaranteed!
Speaker: Adrian Hornsby - Technical Evangelist, AWS
Build Data Lakes and Analytics on AWS: Patterns & Best PracticesAmazon Web Services
With over 90% of today’s data generated in the last two years, the rate of data growth is showing no sign of slowing down. In this session, we step through the challenges and best practices for capturing data, understanding what data you own, driving insights, and predicting the future using AWS services. We frame the session and demonstrations around common pitfalls of building data lakes and how to successfully drive analytics and insights from data. We also discuss the architecture patterns brought together key AWS services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Kinesis, and Amazon Machine Learning. Discover the real-world application of data lakes for roles including data scientists and business users.
Stephen Moon, Sr. Solutions Architect, Amazon Web Services
James Juniper, Solution Architect for the Geo-Community Cloud, Natural Resources Canada
Build Data Lakes & Analytics on AWS: Patterns & Best PracticesAmazon Web Services
With over 90% of today’s data generated in the last two years, the rate of data growth is showing no sign of slowing down. In this session, we step through the challenges and best practices for capturing data, understanding what data you own, driving insights, and predicting the future using AWS services. We frame the session and demonstrations around common pitfalls of building data lakes and how to successfully drive analytics and insights from data. We also discuss the architecture patterns brought together key AWS services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Kinesis, and Amazon Machine Learning. Discover the real-world application of data lakes for roles including data scientists and business users.
Stephen Moon, Sr. Solutions Architect, Amazon Web Services
James Juniper, Solution Architect for the Geo-Community Cloud, Natural Resources Canada
Similar to Ask Me Anything about Amazon Aurora (DAT369-R1) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.