In this workshop, we discuss how to migrate SQL Server databases to AWS. Following a short presentation, attendees have the opportunity to choose a hands-on walkthrough to migrate a SQL Server database from an on-premises environment to SQL Server on Amazon EC2 or SQL Server on Amazon RDS. Bring a laptop for the hands-on exercises.
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to run SQL Server on Amazon RDS, best practices for migration from on-premises or Amazon EC2 into Amazon RDS, and the pros and cons of running in Amazon RDS for SQL Server today. We also discuss workarounds for customer needs that are not supported today with Amazon RDS.
Back Up SQL Server to Amazon S3 with Microsoft Tools and File Gateway (STG380...Amazon Web Services
A widespread method to protect databases, particularly for DBAs, is to dump a database and its logs to a file share, often redundantly consuming both production and backup storage capacity, for a backup. What if that file share really lived on Amazon S3? It can. This session describes a backup architecture using File Gateway and native SQL Server and PowerShell commands deployed by AWS customer Direct Supply. Attend this session to learn how you can reduce on-premises storage while simplifying backup, recovery, and even migration of Microsoft SQL Server to AWS.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
In this chalk talk, we explore the implementation details of achieving availability and reliability, as described in the whitepaper, AWS Well-Architected Framework - Reliability Pillar
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.
SID304 Threat Detection and Remediation with Amazon GuardDutyAmazon Web Services
Join us for this hands-on lab where you learn about Amazon GuardDuty by walking through some real-world threat scenarios. Learn about the threat detection capabilities of GuardDuty and the available remediation options. We first go through a scenario where an Amazon EC2 instance is compromised, followed by one where IAM credentials are compromised. In each scenario, we look at a method to remediate the threat. We use the following services: AWS CloudFormation, AWS CloudTrail, Amazon VPC flow logs, Amazon CloudWatch events, Amazon SNS, Amazon S3, AWS Lambda, and, of course, Amazon GuardDuty. Be sure you have an AWS account to do the lab. This should be your own personal account and not an account through your company. We provide AWS credits to help cover any costs incurred during the lab.
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Amazon Web Services
Modernizing your data warehouse can unlock new insights while substantially improving query and data load performance, increasing scalability, and saving costs. In this chalk talk, we discuss how to migrate your Netezza data warehouse to Amazon Redshift and achieve agility and faster time to insight while reducing costs. Financial Engines joins us to share their migration journey, after which they were able to improve performance by 10x and reduce cost by 1/3 for a saving of ~$100K annually.
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.
Hands-On with Amazon ElastiCache for Redis - Workshop (DAT309-R1) - AWS re:In...Amazon Web Services
In-memory services, such as Amazon ElastiCache for Redis, provide a number of tools to accelerate application and database performance. In this workshop, we explore those tools and features and dive deep into Redis, the ElastiCache API, and the common architecture patterns for which we see customers using in-memory services. Gain hands-on experience launching a Redis cluster through AWS CloudFormation, updating the cluster through the CLI, and working with Redis data structures.
Running Your SQL Server Database on Amazon RDS (DAT329) - AWS re:Invent 2018Amazon Web Services
In this session, learn how to run SQL Server on Amazon RDS, best practices for migration from on-premises or Amazon EC2 into Amazon RDS, and the pros and cons of running in Amazon RDS for SQL Server today. We also discuss workarounds for customer needs that are not supported today with Amazon RDS.
Back Up SQL Server to Amazon S3 with Microsoft Tools and File Gateway (STG380...Amazon Web Services
A widespread method to protect databases, particularly for DBAs, is to dump a database and its logs to a file share, often redundantly consuming both production and backup storage capacity, for a backup. What if that file share really lived on Amazon S3? It can. This session describes a backup architecture using File Gateway and native SQL Server and PowerShell commands deployed by AWS customer Direct Supply. Attend this session to learn how you can reduce on-premises storage while simplifying backup, recovery, and even migration of Microsoft SQL Server to AWS.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
In this chalk talk, we explore the implementation details of achieving availability and reliability, as described in the whitepaper, AWS Well-Architected Framework - Reliability Pillar
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.
SID304 Threat Detection and Remediation with Amazon GuardDutyAmazon Web Services
Join us for this hands-on lab where you learn about Amazon GuardDuty by walking through some real-world threat scenarios. Learn about the threat detection capabilities of GuardDuty and the available remediation options. We first go through a scenario where an Amazon EC2 instance is compromised, followed by one where IAM credentials are compromised. In each scenario, we look at a method to remediate the threat. We use the following services: AWS CloudFormation, AWS CloudTrail, Amazon VPC flow logs, Amazon CloudWatch events, Amazon SNS, Amazon S3, AWS Lambda, and, of course, Amazon GuardDuty. Be sure you have an AWS account to do the lab. This should be your own personal account and not an account through your company. We provide AWS credits to help cover any costs incurred during the lab.
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Amazon Web Services
Modernizing your data warehouse can unlock new insights while substantially improving query and data load performance, increasing scalability, and saving costs. In this chalk talk, we discuss how to migrate your Netezza data warehouse to Amazon Redshift and achieve agility and faster time to insight while reducing costs. Financial Engines joins us to share their migration journey, after which they were able to improve performance by 10x and reduce cost by 1/3 for a saving of ~$100K annually.
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.
Hands-On with Amazon ElastiCache for Redis - Workshop (DAT309-R1) - AWS re:In...Amazon Web Services
In-memory services, such as Amazon ElastiCache for Redis, provide a number of tools to accelerate application and database performance. In this workshop, we explore those tools and features and dive deep into Redis, the ElastiCache API, and the common architecture patterns for which we see customers using in-memory services. Gain hands-on experience launching a Redis cluster through AWS CloudFormation, updating the cluster through the CLI, and working with Redis data structures.
Design, Deploy, and Optimize Microsoft SQL Server on AWS (GPSTEC314) - AWS re...Amazon Web Services
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon EC2 and Amazon RDS. We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
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.
Replicate and Manage Data Using Managed Databases and Serverless Technologies Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate data and manage it in the cloud. We replicate an on-premises database to Amazon Aurora using AWS Database Migration Service, and we show you how Aurora Serverless can automatically scale your database and reduce your database costs. Ensure that you have an AWS account, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
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
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
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.
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
Over the course of hundreds of mass migrations with our enterprise customers, we've seen migrations of one or more data centers into AWS, and the common theme is that tools are crucial for reliable and fast discovery and migration. In this workshop, you get hands on experience using AWS migration tools like AWS Migration Hub and Application Discovery Service to supercharge planning and execution of your migration and move more servers and databases in less time. Learn how to discover existing servers, analyze server dependencies, group your resources into applications, and automate migrations using AWS and partner migration tools.
Analyze your Data Lake, Fast @ Any Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
-Learn how to automatically discover, catalog, and prepare your data for analytics
-Understand how to query data in your data lake without having to transform or load the data into your data warehouse
-See how to analyze data in both your data lake and data warehouse
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.
SRV205 Architectures and Strategies for Building Modern Applications on AWSAmazon Web Services
Rapid growth of technology and tooling in the cloud has enabled us to build modern applications that are more secure, scalable, and focused on our business. In this session, we cover the key compute primitives that enable us to accelerate towards building and running modern, cloud-native applications. We highlight what we’ve learned from customers running applications with AWS Lambda and AWS Fargate, two modern compute technologies for running applications in the cloud. In addition, we cover architecture patterns of modern application, key primitives required for building modern systems, steps you can take to start building and monitoring modern applications today, and secrets to fearlessly going faster and farther in the cloud.
Database Migration Using AWS DMS and AWS SCT (GPSCT307) - AWS re:Invent 2018Amazon Web Services
Database migrations are an important step in any journey to AWS. In this session, we show you how to get started with AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to quickly and securely migrate your databases to AWS. Learn how to simplify your database migrations by using this service to migrate your data to and from commercial and open-source databases. We also explain how you can perform homogenous migrations such as MySQL to MySQL, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Lifecycle Management of Amazon WorkSpaces Using the AWS Service Catalog Conne...Amazon Web Services
In this builder session, cloud architects, desktop managers, and ITSM leads learn how to use the AWS Service Catalog Connector to launch, operate, and manage Amazon WorkSpaces in ServiceNow. You also learn how to enable Amazon WorkSpaces user self-service capabilities, such as reboot and rebuild. You can use the capabilities and learn to build a governance and management framework for your Amazon WorkSpaces environment that incorporates self-service capabilities to reduce your management overhead.
SRV327 Replicate, Analyze, and Visualize Data Using Managed Database and Ser...Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data to drive positive business outcomes. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. We then use Amazon Athena to interactively analyze data using SQL, and finally, we use Amazon QuickSight to visualize the data to enable better business decisions. For this session, ensure that you have an AWS account set up, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
Designing a Migration Strategy for Your SQL Server Infrastructure (WIN322) - ...Amazon Web Services
Do you have questions about your SQL Server migration that need answers? In this chalk talk, we lay out the fundamental choices for migrating SQL Server databases to AWS, and we answer all of your questions about how to approach and execute your migration. This is an interactive question-and-answer session, so please bring your questions and join us for this discussion.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
Microsoft SQL Server Migration Strategies (WIN302) - AWS re:Invent 2018Amazon Web Services
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
Eliminate Migration Confusion: Speed Migration with Automated Tracking (ENT31...Amazon Web Services
Customers migrating to AWS can use AWS Migration Hub to obtain a single view of all migrations into AWS. In this session, we provide an in-depth walkthrough of migration execution best practices and automated migration tracking. Learn how to use the Migration Hub migration dashboard to quickly understand the current state and velocity of your application migrations and effortlessly provide your CEO, CIO, and other key stakeholders an up-to-date status of migrating your portfolio.
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
In this workshop, learn how to create a serverless data lake architecture. Understand how to ingest data at scale from multiple data sources, how to transform the data, and how to catalog it to make it available for querying using a variety of tools. Also learn how to set up governance and data quality controls.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Karl Hart - Solutions Architect, AWS
John Pignata - Startup Solutions Architect, AWS
Design, Deploy, and Optimize Microsoft SQL Server on AWS (GPSTEC314) - AWS re...Amazon Web Services
In this session, we dive deep on best practices and design considerations for running Microsoft SQL Server on AWS. We cover how to choose between running SQL Server on Amazon EC2 and Amazon RDS. We also cover how to optimize the performance of SQL Server on AWS, how to leverage the new the Optimize CPU feature, and how to deploy SQL Server on Linux. We also review best practices for storage, monitoring, availability, security, and backup and recovery for SQL Server.
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.
Replicate and Manage Data Using Managed Databases and Serverless Technologies Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate data and manage it in the cloud. We replicate an on-premises database to Amazon Aurora using AWS Database Migration Service, and we show you how Aurora Serverless can automatically scale your database and reduce your database costs. Ensure that you have an AWS account, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
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
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
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.
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
Over the course of hundreds of mass migrations with our enterprise customers, we've seen migrations of one or more data centers into AWS, and the common theme is that tools are crucial for reliable and fast discovery and migration. In this workshop, you get hands on experience using AWS migration tools like AWS Migration Hub and Application Discovery Service to supercharge planning and execution of your migration and move more servers and databases in less time. Learn how to discover existing servers, analyze server dependencies, group your resources into applications, and automate migrations using AWS and partner migration tools.
Analyze your Data Lake, Fast @ Any Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
-Learn how to automatically discover, catalog, and prepare your data for analytics
-Understand how to query data in your data lake without having to transform or load the data into your data warehouse
-See how to analyze data in both your data lake and data warehouse
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.
SRV205 Architectures and Strategies for Building Modern Applications on AWSAmazon Web Services
Rapid growth of technology and tooling in the cloud has enabled us to build modern applications that are more secure, scalable, and focused on our business. In this session, we cover the key compute primitives that enable us to accelerate towards building and running modern, cloud-native applications. We highlight what we’ve learned from customers running applications with AWS Lambda and AWS Fargate, two modern compute technologies for running applications in the cloud. In addition, we cover architecture patterns of modern application, key primitives required for building modern systems, steps you can take to start building and monitoring modern applications today, and secrets to fearlessly going faster and farther in the cloud.
Database Migration Using AWS DMS and AWS SCT (GPSCT307) - AWS re:Invent 2018Amazon Web Services
Database migrations are an important step in any journey to AWS. In this session, we show you how to get started with AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to quickly and securely migrate your databases to AWS. Learn how to simplify your database migrations by using this service to migrate your data to and from commercial and open-source databases. We also explain how you can perform homogenous migrations such as MySQL to MySQL, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Lifecycle Management of Amazon WorkSpaces Using the AWS Service Catalog Conne...Amazon Web Services
In this builder session, cloud architects, desktop managers, and ITSM leads learn how to use the AWS Service Catalog Connector to launch, operate, and manage Amazon WorkSpaces in ServiceNow. You also learn how to enable Amazon WorkSpaces user self-service capabilities, such as reboot and rebuild. You can use the capabilities and learn to build a governance and management framework for your Amazon WorkSpaces environment that incorporates self-service capabilities to reduce your management overhead.
SRV327 Replicate, Analyze, and Visualize Data Using Managed Database and Ser...Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data to drive positive business outcomes. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. We then use Amazon Athena to interactively analyze data using SQL, and finally, we use Amazon QuickSight to visualize the data to enable better business decisions. For this session, ensure that you have an AWS account set up, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
Designing a Migration Strategy for Your SQL Server Infrastructure (WIN322) - ...Amazon Web Services
Do you have questions about your SQL Server migration that need answers? In this chalk talk, we lay out the fundamental choices for migrating SQL Server databases to AWS, and we answer all of your questions about how to approach and execute your migration. This is an interactive question-and-answer session, so please bring your questions and join us for this discussion.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
Microsoft SQL Server Migration Strategies (WIN302) - AWS re:Invent 2018Amazon Web Services
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
Eliminate Migration Confusion: Speed Migration with Automated Tracking (ENT31...Amazon Web Services
Customers migrating to AWS can use AWS Migration Hub to obtain a single view of all migrations into AWS. In this session, we provide an in-depth walkthrough of migration execution best practices and automated migration tracking. Learn how to use the Migration Hub migration dashboard to quickly understand the current state and velocity of your application migrations and effortlessly provide your CEO, CIO, and other key stakeholders an up-to-date status of migrating your portfolio.
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
In this workshop, learn how to create a serverless data lake architecture. Understand how to ingest data at scale from multiple data sources, how to transform the data, and how to catalog it to make it available for querying using a variety of tools. Also learn how to set up governance and data quality controls.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Karl Hart - Solutions Architect, AWS
John Pignata - Startup Solutions Architect, AWS
DAT317_Migrating Databases and Data Warehouses to the CloudAmazon Web Services
In this introductory session, we look at how to convert and migrate your commercial databases and data warehouses to the cloud and gain your database freedom. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases. These include Oracle and SQL Server to Amazon Aurora, Teradata and Netezza to Amazon Redshift, MongoDB to Amazon DynamoDB, and many other data source and target combinations. Learn how to easily and securely migrate your data and procedural code, enjoy flexibility and cost savings, and gain new opportunities.
Running SQL Server on Amazon RDS and Migrating to MySQL (DAT306-R1) - AWS re:...Amazon Web Services
If you'd like to move your SQL Server databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how SQL Server 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 MySQL. 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.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Chicago ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Atlanta ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases all over the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
Migrare a AWS per ridurre il debito tecnico e focalizzarsi sull'innovazioneAmazon Web Services
AWS Summit Milano 2018
Migrare a AWS per ridurre il debito tecnico e focalizzarsi sull'innovazione
Speaker: Antonio Aga Rossi, Global Solutions Architect AWS
Use AWS DMS to Securely Migrate Your Oracle Database to Amazon Aurora with Mi...Amazon Web Services
Changing database engines is often daunting to customers. However, the value of a highly scalable, cost-effective, and fully managed service, such as Amazon Aurora, can make the challenge worth it. In this hand-on lab, we demonstrate how to take advantage of the AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) to facilitate and simplify migrating an Oracle database to the Amazon Aurora PostgreSQL-compatible Edition. We connect to an Oracle (source) and a PostgreSQL (target) instance, and convert the Oracle database schema and code objects to PostgreSQL using AWS SCT. Then, we migrate and replicate the data using AWS DMS. AWS credits are provided. Bring your laptop, and have an active AWS account.
Heterogenous Migration with DMS and SCT: Database Week San FranciscoAmazon Web Services
Database Week at the San Francisco Loft: Heterogeneous Migration with DMS and SCT - Oracle RDS to Aurora PostgreSQL migration lab using DMS and SCT.
Speakers:
Ramya Kaushik - Database Engineer, DMS/SCT, AWS
Jatin Singh - Partner Solutions Architect, AWS
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Toronto ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? In this session you will learn about the AWS Database Migration Service (DMS) and the AWS Schema Migration Tool (SCT). You can use these tools to convert your commercial database and database warehouse to open-source engines or AWS-native services, such as Amazon Aurora and Redshift.
Speakers:
Saurabh Saxena - Principal Technical Account Manager, AWS
Chris England - Sr. Technical Account Manager, AWS
Migrate a relational database to Aurora - ADB302 - Atlanta AWS SummitAmazon Web Services
In this hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate a relational database to Amazon Aurora PostgreSQL. Bring a laptop that has the Firefox or Chrome browser installed and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment and help you walk through the migration process. Please be sure to bring your laptop.
Database migration doesn’t need to be difficult or time-consuming. Learn about the AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and cloud environments to Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon DynamoDB, and Amazon EC2. We discuss homogeneous (same database engine) and heterogeneous migrations, as well as migrations from data warehouse platforms. We’ll also talk about the AWS Schema Conversion Tool, which saves you development time when migrating your Oracle, SQL Server, and data warehouse schemas and procedural code and exporting your data to the cloud. You'll hear from GumGum, an artificial intelligence company with deep expertise in computer vision that uses DMS to replicate its dimension data from different sources into a cohesive data warehouse.
Managing a Database Migration Project Best Practices and Customer References.pdfAmazon Web Services
The AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) help lower costs, risks and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This webinar will discuss some of the best practices that AWS has learned through our own Professional Services engagements and from customers who have shared their experience.
This webinar is Level 200.
Speaker: Blair Layton, APAC Business Development, Database, AWS
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.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Anaheim ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world, including homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
by Rich Alberth, Solutions Architect, AWS
Modernizing your database environment can bring many benefits, from avoiding technical debt to reducing expenses. AWS Database Migration Service enables easy modernization, enabling you to easily change database versions (and even database engines) and schema topologies while avoiding downtimes. We’ll look at some models for modernization, then do a hands-on exercise to migrate and consolidate MySQL databases to Amazon Aurora. You’ll need a laptop with a Firefox or Chrome browser.
Discover how to architect fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can work alongside various AWS services to boost resiliency, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, learn about authentication and authorization, and explore various hybrid scenarios involving on-premises solutions or infrastructure. Examine common architecture patterns for network design, Microsoft Active Directory, and business productivity; as well as common scenarios for custom .NET, .NET Core with Microsoft SQL deployments, and migrations.
Artur Rodrigues, Senior Solutions Architect, Amazon Web Services
Vanguard's Journey with Tableau to the AWS Cloud (FSV307-S) - AWS re:Invent 2018Amazon Web Services
With over $5 trillion in assets under management, Vanguard requires a secure, flexible, and fast data and analytics platform. By deploying Tableau on AWS, Vanguard was able to move from their private cloud to the AWS Cloud, and significantly reduce the administrative workload of Vanguard's IT team, allowing them to focus on innovating. In this session, learn how mission-critical processes such as configuring deployments, adding nodes, and creating backups are automated via scripts. Expect to leave with a clear picture of how a global deployment of Tableau on AWS supports peak surges and avoids the sunk costs of on-premises hardware. This session is brought to you by AWS partner, Tableau Software.
Similar to Hands-On: Building a Migration Strategy for SQL Server on AWS (WIN310) - 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.