Amazon RDS allows users to easily deploy and run Oracle databases in the AWS cloud. Key benefits include the ability to quickly provision Oracle software on production-grade hardware without needing to pre-allocate resources, pay only for what is used, and leverage pre-configured Oracle solutions. Oracle licenses can also be portability to AWS. The full Oracle software stack is supported, including databases, middleware, and enterprise applications.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
Advanced data migration techniques for Amazon RDSTom Laszewski
Migrating on premise data from Oracle and MySQL Databases to AWS Oracle and MySQL RDS. These techniques will work for AWS EC2 as well. Scripts included in the slides.
Migrating minimal databases with minimal downtime to AWS RDS, Amazon Redshift and Amazon Aurora
Migration of databases to same and different engines and from on premise to cloud
Schema conversion from Oracle and SQL Server to MySQL and Aurora
Amazon RDS provides a relational database service that makes it easy to set up, operate, and scale relational databases in the cloud. Key features include automated backups, software patching, monitoring metrics, and the ability to horizontally scale databases using read replicas or sharding. While Amazon RDS is optimized for vertical scaling, SQL Azure provides better support for horizontal scaling through features like elastic database pools. Overall, Amazon RDS offers a managed relational database service that removes the operational burden of self-managing databases.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon Relational Database Service has continued to expand functionality, scalability, availability and ease of use for all supported database engines (PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server). We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
This document provides best practices for deploying Microsoft SQL Server on Amazon EC2. It discusses using multiple Amazon EBS volumes for tempdb and data files to improve performance. It also covers high availability options like AlwaysOn Availability Groups across Availability Zones and failover cluster instances. The document recommends configuring security groups and network access control lists for security in a VPC.
Advanced Data Migration Techniques for Amazon RDS (DAT308) | AWS re:Invent 2013Amazon Web Services
Migrating data from the existing environments to AWS is a key part of the overall migration to Amazon RDS for most customers. Moving data into Amazon RDS from existing production systems in a reliable, synchronized manner with minimum downtime requires careful planning and the use of appropriate tools and technologies. Because each migration scenario is different, in terms of source and target systems, tools, and data sizes, you need to customize your data migration strategy to achieve the best outcome. In this session, we do a deep dive into various methods, tools, and technologies that you can put to use for a successful and timely data migration to Amazon RDS.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
Advanced data migration techniques for Amazon RDSTom Laszewski
Migrating on premise data from Oracle and MySQL Databases to AWS Oracle and MySQL RDS. These techniques will work for AWS EC2 as well. Scripts included in the slides.
Migrating minimal databases with minimal downtime to AWS RDS, Amazon Redshift and Amazon Aurora
Migration of databases to same and different engines and from on premise to cloud
Schema conversion from Oracle and SQL Server to MySQL and Aurora
Amazon RDS provides a relational database service that makes it easy to set up, operate, and scale relational databases in the cloud. Key features include automated backups, software patching, monitoring metrics, and the ability to horizontally scale databases using read replicas or sharding. While Amazon RDS is optimized for vertical scaling, SQL Azure provides better support for horizontal scaling through features like elastic database pools. Overall, Amazon RDS offers a managed relational database service that removes the operational burden of self-managing databases.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon Relational Database Service has continued to expand functionality, scalability, availability and ease of use for all supported database engines (PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server). We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
This document provides best practices for deploying Microsoft SQL Server on Amazon EC2. It discusses using multiple Amazon EBS volumes for tempdb and data files to improve performance. It also covers high availability options like AlwaysOn Availability Groups across Availability Zones and failover cluster instances. The document recommends configuring security groups and network access control lists for security in a VPC.
Advanced Data Migration Techniques for Amazon RDS (DAT308) | AWS re:Invent 2013Amazon Web Services
Migrating data from the existing environments to AWS is a key part of the overall migration to Amazon RDS for most customers. Moving data into Amazon RDS from existing production systems in a reliable, synchronized manner with minimum downtime requires careful planning and the use of appropriate tools and technologies. Because each migration scenario is different, in terms of source and target systems, tools, and data sizes, you need to customize your data migration strategy to achieve the best outcome. In this session, we do a deep dive into various methods, tools, and technologies that you can put to use for a successful and timely data migration to Amazon RDS.
BDA 302 Deep Dive on Migrating Big Data Workloads to Amazon EMRAmazon Web Services
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop, Spark, and data warehouse appliances from on-premise deployments to Amazon EMR in order to save costs, increase availability, and improve performance. Amazon EMR is a managed service that lets you process and analyze extremely large data sets using the latest versions of over 15 open-source frameworks in the Apache Hadoop and Spark ecosystems. This session will focus on identifying the components and workflows in your current environment and providing the best practices to migrate these workloads to Amazon EMR. We will explain how to move from HDFS to Amazon S3 as a durable storage layer, and how to lower costs with Amazon EC2 Spot instances and Auto Scaling. Additionally, we will go over common security recommendations and tuning tips to accelerate the time to production.
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon Web Services
This session provides the attendee with an overview of Amazon RDS across different database types and then dives deep into the benefits and performance of Amazon Aurora.
Vlad Vlasceanu, a specialist solutions architect at AWS, presented best practices for deploying SQL Server on Amazon Web Services. He discussed deployment options for SQL Server on Amazon EC2 and Amazon RDS, highlighting their differences. He then provided recommendations for optimizing SQL Server performance and high availability when using Amazon EC2 and Amazon RDS, focusing on storage, availability zones, and configuration management. The presentation aimed to help customers design, deploy, and optimize SQL Server workloads effectively on AWS.
Amazon RDS for Microsoft SQL: Performance, Security, Best Practices (DAT303) ...Amazon Web Services
Come learn about architecting high-performance applications and production workloads using Amazon RDS for SQL Server. Understand how to migrate your data to an Amazon RDS instance, apply security best practices, and optimize your database instance and applications for high availability.
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Abhishek Sinha is a senior product manager at Amazon for Amazon EMR. Amazon EMR allows customers to easily run data frameworks like Hadoop, Spark, and Presto on AWS. It provides a managed platform and tools to launch clusters in minutes that leverage the elasticity of AWS. Customers can customize clusters and choose from different applications, instances types, and access methods. Amazon EMR allows separating compute and storage where the low-cost S3 can be used for persistent storage while clusters are dynamically scaled based on workload.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Introduction to running Oracle on AWS. Focuses on Oracle partnership, time line of partnership, licensing, pricing, use cases, common architectures, customer successes, and what is new.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
AWS Webcast - Amazon RDS for Oracle: Best Practices and Migration Amazon Web Services
This document discusses best practices for using Amazon RDS for Oracle. It covers RDS Oracle licensing options, use cases like production and test instances, security practices like using private subnets and IAM roles, performance practices like proper sizing and monitoring, and data migration best practices including using Oracle Data Pump for large data sets and GoldenGate for ongoing replication.
Deep Dive on Amazon EC2 Instances - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We will also provide an overview of the newest instances announced at re:Invent, including the latest generation of Memory and Compute Optimized Instances R4 and C5 instances, new Storage Optimized High I/O I3 instances, and new larger T2 instances. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives:
• Get an overview of the EC2 instance platform, key platform features, and the concept of instance generations
• Learn about the latest generation of Amazon EC2 Instances
• Learn best practices around instance selection to optimize performance
- WOW Air moved their booking engine and content management system to AWS to handle scaling for successful sales campaigns, taking advantage of Amazon RDS and EC2 auto-scaling.
- They used RDS for MySQL and PostgreSQL to avoid managing databases themselves and easily scale their instances vertically and horizontally. Cross-region replication on RDS helped serve users from multiple regions.
- The document discusses high availability features of RDS like Multi-AZ deployment and Amazon Aurora, as well as tools for migrating databases to RDS from on-premises or other database engines.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Day 3 - AWS MySQL Relational Database Service Best Practices for Performance ...Amazon Web Services
Amazon RDS makes it easy to set up, operate, and scale, relational databases in the cloud. Amazon RDS for MySQL supports applications that require up to tens of thousands of IOPS, and allows you to scale on demand without administrative complexity. In this webinar, we will discuss best practices for getting the most out of Amazon RDS for MySQL, as well as techniques for migrating data to and from the service.
Reasons to attend:
- Learn the details of Master Slave dual AZ configuration.
- Learn about cross region replication.
- Learn about Provisioned IOPS and tips on getting the most from your Amazon RDS MySQL Service.
AWS Webcast - Introduction to RDS Low Admin High Perf DBSAmazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we will discuss how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. Finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
This document discusses database migration and replication using AWS services. It provides an overview of AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) and how they can be used to migrate databases to AWS, replicate data across different databases, and modernize database platforms. Specific migration use cases are presented, along with a demonstration and discussion of pricing and resources available to customers.
AWS re:Invent 2016: Design, Deploy, and Optimize Microsoft SharePoint on AWS ...Amazon Web Services
AWS can help you rapidly deploy and scale your Microsoft SharePoint environment to help you collaborate more efficiently and cost-effectively. This session reviews architectural considerations for building a SharePoint deployment on AWS, best practices to ensure optimal performance, how to leverage multiple Availability Zones for high availability and disaster recovery, and how to integrate with Microsoft Active Directory. We will also look at new Quick Start guides, AWS CloudFormation templates, and other tools that dramatically reduce the time to deployment.
Amazon RDS & Amazon Aurora: Relational Databases on AWS - SRV206 - Atlanta AW...Amazon Web Services
This document provides an overview of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using Amazon RDS over managing databases yourself, how to configure an Amazon RDS database instance, and options for database engines, instance types, and storage types. It also covers high availability, read replicas, backups, security, monitoring, and Amazon Aurora.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
This document provides an introduction to cloud computing and Amazon Web Services. It discusses the three categories of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It focuses on IaaS and describes Amazon EC2 for computing resources and EBS for storage. It also introduces StarCluster, an open source tool that simplifies the creation and management of EC2 clusters running Hadoop, MPI and other applications.
Creating cluster 'mycluster' with the following settings:
- Master node: m1.small using ami-fce3c696
- Number of nodes: 1
- Node type: m1.small
- Node AMI: ami-fce3c696
- Storage: EBS volume of size 10 GB
- Security group: mycluster-sg allowing SSH from anywhere
Launching instances...
This may take a few minutes. You can check progress with 'starcluster list'.
When instances have started, SSH will be automatically configured.
You can now ssh to the master with:
starcluster ssh mycluster
Have fun and please let us know if you have
BDA 302 Deep Dive on Migrating Big Data Workloads to Amazon EMRAmazon Web Services
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop, Spark, and data warehouse appliances from on-premise deployments to Amazon EMR in order to save costs, increase availability, and improve performance. Amazon EMR is a managed service that lets you process and analyze extremely large data sets using the latest versions of over 15 open-source frameworks in the Apache Hadoop and Spark ecosystems. This session will focus on identifying the components and workflows in your current environment and providing the best practices to migrate these workloads to Amazon EMR. We will explain how to move from HDFS to Amazon S3 as a durable storage layer, and how to lower costs with Amazon EC2 Spot instances and Auto Scaling. Additionally, we will go over common security recommendations and tuning tips to accelerate the time to production.
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon Web Services
This session provides the attendee with an overview of Amazon RDS across different database types and then dives deep into the benefits and performance of Amazon Aurora.
Vlad Vlasceanu, a specialist solutions architect at AWS, presented best practices for deploying SQL Server on Amazon Web Services. He discussed deployment options for SQL Server on Amazon EC2 and Amazon RDS, highlighting their differences. He then provided recommendations for optimizing SQL Server performance and high availability when using Amazon EC2 and Amazon RDS, focusing on storage, availability zones, and configuration management. The presentation aimed to help customers design, deploy, and optimize SQL Server workloads effectively on AWS.
Amazon RDS for Microsoft SQL: Performance, Security, Best Practices (DAT303) ...Amazon Web Services
Come learn about architecting high-performance applications and production workloads using Amazon RDS for SQL Server. Understand how to migrate your data to an Amazon RDS instance, apply security best practices, and optimize your database instance and applications for high availability.
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for 1/10th the traditional cost. This session will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Abhishek Sinha is a senior product manager at Amazon for Amazon EMR. Amazon EMR allows customers to easily run data frameworks like Hadoop, Spark, and Presto on AWS. It provides a managed platform and tools to launch clusters in minutes that leverage the elasticity of AWS. Customers can customize clusters and choose from different applications, instances types, and access methods. Amazon EMR allows separating compute and storage where the low-cost S3 can be used for persistent storage while clusters are dynamically scaled based on workload.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Introduction to running Oracle on AWS. Focuses on Oracle partnership, time line of partnership, licensing, pricing, use cases, common architectures, customer successes, and what is new.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
AWS Webcast - Amazon RDS for Oracle: Best Practices and Migration Amazon Web Services
This document discusses best practices for using Amazon RDS for Oracle. It covers RDS Oracle licensing options, use cases like production and test instances, security practices like using private subnets and IAM roles, performance practices like proper sizing and monitoring, and data migration best practices including using Oracle Data Pump for large data sets and GoldenGate for ongoing replication.
Deep Dive on Amazon EC2 Instances - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We will also provide an overview of the newest instances announced at re:Invent, including the latest generation of Memory and Compute Optimized Instances R4 and C5 instances, new Storage Optimized High I/O I3 instances, and new larger T2 instances. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives:
• Get an overview of the EC2 instance platform, key platform features, and the concept of instance generations
• Learn about the latest generation of Amazon EC2 Instances
• Learn best practices around instance selection to optimize performance
- WOW Air moved their booking engine and content management system to AWS to handle scaling for successful sales campaigns, taking advantage of Amazon RDS and EC2 auto-scaling.
- They used RDS for MySQL and PostgreSQL to avoid managing databases themselves and easily scale their instances vertically and horizontally. Cross-region replication on RDS helped serve users from multiple regions.
- The document discusses high availability features of RDS like Multi-AZ deployment and Amazon Aurora, as well as tools for migrating databases to RDS from on-premises or other database engines.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Day 3 - AWS MySQL Relational Database Service Best Practices for Performance ...Amazon Web Services
Amazon RDS makes it easy to set up, operate, and scale, relational databases in the cloud. Amazon RDS for MySQL supports applications that require up to tens of thousands of IOPS, and allows you to scale on demand without administrative complexity. In this webinar, we will discuss best practices for getting the most out of Amazon RDS for MySQL, as well as techniques for migrating data to and from the service.
Reasons to attend:
- Learn the details of Master Slave dual AZ configuration.
- Learn about cross region replication.
- Learn about Provisioned IOPS and tips on getting the most from your Amazon RDS MySQL Service.
AWS Webcast - Introduction to RDS Low Admin High Perf DBSAmazon Web Services
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we will discuss how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. Finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
This document discusses database migration and replication using AWS services. It provides an overview of AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT) and how they can be used to migrate databases to AWS, replicate data across different databases, and modernize database platforms. Specific migration use cases are presented, along with a demonstration and discussion of pricing and resources available to customers.
AWS re:Invent 2016: Design, Deploy, and Optimize Microsoft SharePoint on AWS ...Amazon Web Services
AWS can help you rapidly deploy and scale your Microsoft SharePoint environment to help you collaborate more efficiently and cost-effectively. This session reviews architectural considerations for building a SharePoint deployment on AWS, best practices to ensure optimal performance, how to leverage multiple Availability Zones for high availability and disaster recovery, and how to integrate with Microsoft Active Directory. We will also look at new Quick Start guides, AWS CloudFormation templates, and other tools that dramatically reduce the time to deployment.
Amazon RDS & Amazon Aurora: Relational Databases on AWS - SRV206 - Atlanta AW...Amazon Web Services
This document provides an overview of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using Amazon RDS over managing databases yourself, how to configure an Amazon RDS database instance, and options for database engines, instance types, and storage types. It also covers high availability, read replicas, backups, security, monitoring, and Amazon Aurora.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
This document provides an introduction to cloud computing and Amazon Web Services. It discusses the three categories of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It focuses on IaaS and describes Amazon EC2 for computing resources and EBS for storage. It also introduces StarCluster, an open source tool that simplifies the creation and management of EC2 clusters running Hadoop, MPI and other applications.
Creating cluster 'mycluster' with the following settings:
- Master node: m1.small using ami-fce3c696
- Number of nodes: 1
- Node type: m1.small
- Node AMI: ami-fce3c696
- Storage: EBS volume of size 10 GB
- Security group: mycluster-sg allowing SSH from anywhere
Launching instances...
This may take a few minutes. You can check progress with 'starcluster list'.
When instances have started, SSH will be automatically configured.
You can now ssh to the master with:
starcluster ssh mycluster
Have fun and please let us know if you have
Case study of amazon EC2 by Akash BadoneAkash Badone
Introduction to Amazon EC2, Historical Trends, Elastic Map Reduce (EMR), Dynamo DB, RDS, S3, EBS, Iaas, Getting started with EC2 from scratch. Creating key pairs, Launching an instance and types of the instance.AWS services, virtualization and XEN hypervisor with cost (according to on-demand services).
The iot academy_awstraining_part1_aws_introductionThe IOT Academy
Amazon Web Services (AWS) is a cloud computing platform offering that provides computing resources and services on demand. AWS offers infrastructure services like EC2 (Elastic Compute Cloud) for virtual servers, S3 (Simple Storage Service) for cloud storage, and EBS (Elastic Block Store) for virtual disk volumes. It also provides platform services like databases, analytics, and developer tools. AWS has data centers globally and charges customers based on pay-as-you-go usage of resources without long term commitments.
Amazon EC2 provides a broad selection of instance types to deliver high performance for a diverse mix of applications. In this session, we overview the drivers of system performance and discuss in depth how Amazon EC2 instances deliver system performance while also providing elasticity and complete control over your infrastructure. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Choosing the Right EC2 Instance and Applicable Use Cases - AWS June 2016 Webi...Amazon Web Services
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, and Memory Optimized families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives: • Understand the differences between instances • Learn best practices and tips for getting the most out of EC2 instances
AWS reinvent 2019 recap - Riyadh - Containers and Serverless - Paul MaddoxAWS Riyadh User Group
This document provides an overview and agenda for an AWS storage, compute, containers, serverless, and management tools presentation. It includes summaries of several upcoming AWS services and features related to EBS, S3, EC2, EKS, Fargate, Lambda, and AWS Cost Optimizer. The speaker is introduced as Paul Maddox, Principal Architect at AWS, with a background in development, SRE, and systems architecture.
This document provides an overview of Amazon Web Services (AWS) and Amazon Elastic Compute Cloud (EC2). It defines common cloud computing models like SaaS, PaaS, IaaS and discusses key EC2 concepts such as elasticity, security, pricing models and cost savings strategies. Instance types, operating systems, data transfer costs and the EC2 API are also summarized. The document aims to introduce readers to AWS and EC2 capabilities for flexible and scalable cloud computing.
source: http://www.sfbayacm.org/?p=1394
The specifics of a cloud’s computing architecture may have an impact on application design. This is particularly important in Infrastructure as a Service (IaaS) cloud environments.
This presentation analyzes aspects of the Amazon EC2 IaaS cloud environment that differ from a traditional datacenter and introduces general best practices for ensuring data privacy, storage persistence, and reliable DBMS backup. Best practices for application robustness and scalability on demand are reviewed and are especially significant in leveraging the full potential of an IaaS cloud. The need for a cloud application management and configuration system is briefly reviewed and two alternate approaches to cloud application management are described (RightScale and Kaavo).
The document provides instructions for launching an M-Pin Core service instance on Amazon EC2. It describes choosing an Amazon Machine Image, instance type, storage options, and configuring security groups. The steps also cover accessing the M-Pin Core trial demo and configuring the instance host and port. Once launched, the M-Pin Core service can be accessed in a browser to create identities and pins for strong authentication testing.
The document provides instructions for launching the M-Pin Core service on Amazon Elastic Compute Cloud (EC2). It describes:
1) How to create an EC2 instance, including choosing an Amazon Machine Image, instance type, storage, security groups, and other configuration details.
2) How to launch the M-Pin Core instance and access the 30-day free trial. This involves configuring the instance, host, and port and viewing the M-Pin Core service in a browser.
3) How to create an identity and pin using the M-Pin Core demo, and log in to test the strong authentication capabilities.
The document provides instructions for launching an M-Pin Core service instance on Amazon EC2. It describes choosing an Amazon Machine Image, instance type, storage options, and configuring security groups. The steps also cover accessing the M-Pin Core trial demo and configuring the instance host and port. Once launched, the M-Pin Core service can be accessed in a browser to create identities and pins for strong authentication testing.
This document summarizes a presentation about cloud computing and its uses for GIS. Cloud computing provides scalable computing resources and applications as an on-demand service over the internet. The document defines different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of how Esri and other organizations are using the cloud, including deploying ArcGIS Server on Amazon Web Services and hosting web applications on ArcGIS.com. The benefits and risks of cloud computing for GIS are also discussed.
Amazon EC2 provides a broad selection of instance types to deliver high performance for a diverse mix of applications. In this session, we overview the drivers of system performance and discuss in depth how Amazon EC2 instances deliver system performance while also providing elasticity and complete control over your infrastructure. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions.
Crunch Your Data in the Cloud with Elastic Map Reduce - Amazon EMR HadoopAdrian Cockcroft
A introductory discussion of cloud computing and capacity planning implications is followed by a step by step guide to running a Hadoop job in EMR, and finally a discussion of how to write your own Hadoop queries.
Amazon is an American multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It started as an online bookstore in 1995 and has since expanded to sell a wide variety of products and services to customers worldwide. In 2006, Amazon launched Amazon Web Services (AWS), which offers cloud computing services and has become one of the largest providers of these services. AWS provides access to computing resources and services through application programming interfaces, allowing customers to take advantage of elastic and scalable resources without having to manage their own hardware infrastructure.
Amazon Elastic Compute Cloud (EC2) - Module 2 Part 1 - AWSome Day 2017Amazon Web Services
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud. It allows users to launch server instances that have complete control and flexibility. Instances can be launched and booted rapidly in just minutes. EC2 allows users to pay only for the computing capacity they actually use and choose between Linux and Windows instances.
Similar to Introducing Amazon RDS Using Oracle Database (20)
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
2. Running
Oracle
on
AWS
! Prove
concepts
faster
! Deploy
Oracle
so=ware
in
minutes
on
produc?on-‐class
hardware
! Try
several
Oracle
solu?ons
in
parallel
with
no
risk
! Free
up
CapEx
budget
! No
need
to
pre-‐allocate
hardware
budgets.
Pay
as
you
go.
! BeKer
end-‐user
experience
! Use
Amazon
Machine
Images
(AMIs)
with
pre-‐configured
Oracle
solu?ons
! Back-‐channel
integra?on
between
Oracle
Support
and
AWS
! Full
Oracle
license
portability
! Bring
licenses
purchased
from
Oracle
to
the
Amazon
Cloud
! Complete
Oracle
Stack
! OVM,
Oracle
Linux,
EMGC,
Oracle
Database,
FMW,
Enterprise
Applica?ons
3. Agenda
! Amazon
Web
Services
overview
! Amazon
Elas;c
Compute
Cloud
(EC2)
! Oracle
on
Amazon
EC2
using
Oracle
VM
! Amazon
Rela;onal
Database
Service
(RDS)
! Q&A
3
5. What
is
Cloud
Compu?ng?
First,
think
of
your
electricity
service…
Power
is
available
to
you
on-‐demand,
you
pay
only
for
what
you
use…
…and
you
plug
into
a
vast
electrical
grid
managed
by
professionals
to
get
you
the
lowest
cost,
most
reliable
power
with
much
greater
efficiency
and
safety
than
you
could
probably
do
on
your
own.
6. Introducing
Amazon
Web
Services
AWS
provides
flexible,
scalable,
secure,
and
cost-‐effec?ve
IT
infrastructure
for
businesses
of
all
sizes
around
the
world.
Compute
power
and
storage
is
available
to
you
on-‐demand,
you
…running
on
scalable,
reliable,
and
secure
pay
only
for
the
resources
you
infrastructure
operated
by
Amazon
Web
Services,
use…
based
on
the
knowledge
gleaned
from
over
a
decade
of
building
efficient
and
dependable
infrastructure
for
Amazon.com.
8. AWS
Global
Reach
AWS
Regions
Northern
Virginia
Northern
California
Dublin
Singapore
Japan
AWS
CloudFront
Loca?ons
Ashburn,
VA
/
Dallas,
TX
/
Jacksonville,
FL
/
Los
Angeles,
CA
/
Miami,
FL
/
New
York,
NY
/
Newark,
NJ
/
Palo
Alto,
CA
/
SeaKle,
WA
/
St.
Louis,
MO
/
Amsterdam
/
Dublin
/
Frankfurt
/
London
/
Paris
/
Hong
Kong
/
Tokyo
/
Singapore
11. Amazon
Elas?c
Compute
Cloud
! Amazon
EC2:
on-‐demand
compute
power
! Obtain
and
boot
new
server
instances
in
minutes
! Quickly
scale
capacity
up
or
down
! Key
features:
! Support
for
Windows,
Linux,
and
OpenSolaris
! Supports
all
major
web
and
applica;on
plaVorms
! Deploy
across
Availability
Zones
for
reliability
! Elas;c
IPs
provide
greater
flexibility
! Persistent
storage
with
Elas;c
Block
Store
! Elas;c
Load
Balancing
and
Auto-‐Scaling
built-‐in
! Amazon
CloudWatch
monitors
status
and
usage
! Service
Level
Agreement:
99.95%
12. Virtual
Machine
Choices
Hi-Mem 4XL 68.4 GB
128
26 EC2 Compute Units
8 virtual cores
$2.00/2.48
64
Hi-Mem 2XL 34.2 GB
13 EC2 Compute Units
4 virtual cores
$1.00/1.24
32
Cluster Compute 4XL 23 GB
33.5 EC2 Compute Units
$1.60
Memory (GB)
Cluster GPU 4XL 22 GB
16
Hi-Mem XL 17.1 GB
6.5 EC2 Compute Units
Extra Large 15 GB
33.5 EC2 Compute Units,
2 x NVIDIA Tesla “Fermi”
2 virtual cores M2050 GPUs
8 EC2 Compute Units
$0.50/0.62 $2.10
4 virtual cores
8
$0.68/0.96
Large 7.5 GB
4 EC2 Compute Units
Small 1.7 GB, 2 virtual cores
High-CPU XL 7 GB
1 EC2 Compute Unit $0.34/0.48
4
20 EC2 Compute Units
1 virtual core
8 virtual cores
$0.085/0.12
High-CPU Med 1.7 GB $0.68/1.16
5 EC2 Compute Units
Micro 613 MB 2 virtual cores
2
Up to 2 ECUs
(for
short bursts)
$0.17/0.29
$0.02/0.03
1
1 2 4 8 16 32 64
EC2 Compute Units (HP)
14. Oracle
Cer?fica?on,
Support
and
Licensing
Certified & ! All
products
cer?fied
on
the
supported Oracle
Virtual
Machine
are
now
Cer?fied
on
Amazon
EC2
managed
OVM
! Full
Support
from
Oracle
and
AWS
! Standard
Licensing
Policies
Apply
! AMIs
exist
today
for
many
Oracle
products
15. Amazon
EC2
Using
the
Oracle
Virtual
Machine
! Oracle
Virtual
Machine
(OVM)
is
a
Xen-‐
based
virtualiza?on
plaZorm
! AWS
will
offer
Amazon
EC2
using
OVM
for
Oracle
So=ware
AMIs
! AMIs
automa?cally
and
transparently
run
on
OVM
! Deriva?ve
AMIs
will
also
run
on
OVM
! AMIs
ranging
from
OS
to
fully
installed
Oracle
Enterprise
Applica?ons
! Alterna?ve
to
AWS
Xen
! Eventual
support
for
impor?ng
customer-‐produced
OVM
templates
! No
addi?onal
charge
16. Oracle
So=ware
Cer?fied
on
AWS
! All
Oracle
So=ware
cer?fied
on
OVM
is
cer?fied
on
Amazon
EC2
using
OVM
! Opera?ng
Systems:
! Oracle
Enterprise
Linux
! Oracle
So=ware
on
Windows
! Databases:
! Oracle
Database,
MySQL,
TimesTen
! Fusion
Middleware
! App
Servers,
BPM,
BI,
Content
Management,
Data
Integra?on,
IDM,
Portal
&
UI,
SOA,
etc…
! Oracle
Enterprise
Applica?ons
! Oracle
E-‐Business
Suite,
PeopleSo=,
JD
Edwards,
Agile,
etc…
17. Oracle
License
Portability
! All
Oracle
So=ware
licenses
are
fully
portable
to
Amazon
EC2
using
OVM
hard
par??oning
! Processor
&
Socket
Licensing:
! 0.25
core
mul?plier
for
socket
licenses
! 0.5
core
mul?plier
for
processor
licenses
! Named
User
Plus
(NUP)
! Unlimited
License
Agreement
(ULA)
! Enterprise
License
Agreement
(ELA)
! SaaS
for
ISVs
! OVM
Hard
Par??oning
Licensing:
oracle.com/us/corporate/pricing/partitioning-070609.pdf
18. Oracle
and
AWS
Support
Integra?on
! Customers
running
Oracle
So=ware
on
AWS
can
contact
Oracle
Support
and/or
AWS
! AWS
and
Oracle
work
together
behind
the
scenes
to
iden?fy
root
cause
and
resolve
the
issue
as
quickly
as
possible
! Oracle
So=ware
running
on
Amazon
EC2
using
OVM
has
undergone
extensive
regression
tes?ng
19. Deploying
Oracle
on
Amazon
EC2
Have
a
produc?on
database
up
and
running
in
five
minutes…
! Step
1:
Create
an
account
at
aws.amazon.com
! Step
2:
Login
to
the
AWS
Web
Console
! Step
3:
Right-‐click
on
an
Oracle
AMI
and
click
“Launch
Instance”
! Step
4:
Right
click
on
your
EC2
instance
to
SSH
into
your
server
20. Oracle
Secure
Backup
Cloud
Module
! Oracle
Secure
Backup
(OSB)
Cloud
Module
is
a
plug-‐in
for
RMAN
that
allows
customers
to
backup
Oracle
Databases
directly
to
Amazon
S3
using
the
Oracle
Recovery
Manager
(RMAN)
! Data
is
encrypted
at
flight
and
at
rest
! Amazon
S3
automa;cally
replicates
data
to
mul;ple
data
centers
within
a
region
! Licensed
by
number
of
concurrent
backup
channels
! Customers
also
pay
for
Amazon
S3
storage
(star;ng
at
$0.14/GB/
month)
! Works
equally
well
for
databases
hosted
in
Amazon
EC2
or
in
the
customer’s
data
center
22. Amazon
RDS
on
MySQL
! Making
it
easy
to
setup,
operate
and
scale
rela;onal
databases
in
the
cloud
since
2009
! Deploy
a
pre-‐configured,
resizable
MySQL
“Database
Instance”
in
minutes
via
the
AWS
Management
Console
! Let
Amazon
RDS
manage
automated
backups,
sokware
patching,
replica;on
for
fault
tolerance
and
read
scaling
! Compa;ble
with
exis;ng
MySQL
apps
and
tools
! Pay
by
the
hour
(rates
vary
by
DB
Instance
class
and
region)
22
24. Mul?-‐AZ
Deployments
! Enterprise-‐grade,
fault-‐tolerant
solu;on
for
produc;on
databases
! What
is
Mul;-‐AZ
deployment?
! With
a
single
API
call,
Amazon
RDS
creates
and
synchronously
maintains
a
hot
standby
in
a
different
availability
zone
! In
the
event
of
an
unplanned
or
planned
outage,
Amazon
RDS
automa;cally
fails
over
to
the
standby
so
you
can
resume
database
writes
and
reads
as
soon
as
possible
24
25. Amazon
RDS
Read
Replicas
! A
Read
Replica
is
a
copy
of
a
specified
DB
Instance
that
can
serve
read
traffic
! Intended
use
cases
! Read
scaling,
business
repor;ng
! Not
intended
as
fault
tolerance
subs;tute
for
mul;-‐AZ
! Unlike
Mul;-‐AZ,
uses
na;ve,
asynchronous
MySQL
replica;on
and
replica
can
lag
source
! Read
Replica
can
use
Mul;-‐AZ
deployment
as
source
25
26. Amazon
RDS
on
Oracle
Database
11g
! Launching
in
Q2
2011
! Oracle
Database
SE1,
SE,
EE
+
op;ons
and
packs
! Bring-‐your-‐own-‐license
or
pay-‐as-‐you-‐go
(hourly)
! Ini;ally
single
instance
with
replica;on
arriving
shortly
aker
launch
! Runs
on
Oracle
VM
with
hard
par;;oning
26
27. Amazon
RDS
Pricing
! Detailed
pricing
not
published
yet
! Several
licensing
op;ons
available
! Use
exis;ng
licenses
from
Oracle
! Purchase
new
Oracle
Database
licenses
directly
from
Oracle
or
an
Oracle
partner
! Pay-‐as-‐you-‐go
licensing
from
Amazon
! Two
pricing
models
for
Amazon
RDS
! On-‐demand,
hourly
pricing
! Amazon
RDS
Reserved
Instances
27
28. Amazon
RDS
on
Oracle
Support
! Bring-‐Your-‐Own-‐License
(BYOL)
! AWS
Premium
Support
for
RDS
service
(including
underlying
infrastructure)
! AWS
manages
patches
and
upgrades
! Oracle
Database
support
from
Oracle
Support
using
your
Oracle
CSI
! Pay-‐as-‐you-‐go
Licensing
! AWS
Premium
Support
for
RDS
service
and
the
Oracle
Database
28
29. Amazon
RDS
on
Oracle
Benefits
! Deploy
Oracle
sokware
immediately,
improving
;me
to
business
value
! Free
up
in-‐house
DBAs
to
support
the
business
instead
of
managing
the
core
database
! Use
pay-‐as-‐you-‐go
pricing
to
get
started
with
Oracle
EE
at
an
earlier
stage.
Transi;on
to
BYOL
with
licenses
from
Oracle
when
you’re
ready
29
30. AWS
Customers
Using
Oracle
on
AWS
! Amazon.com
backs
up
retail
databases
using
the
Oracle
Secure
Backup
Cloud
Module.
The
Client
Experience
Analy;cs
(CXA)
team
uses
Amazon
RDS
to
support
customer
simula;ons
against
Amazons
web
proper;es
on
an
ongoing
basis.
! Capgemini
uses
AWS
to
host
the
development,
test
and
produc,on
Oracle
E-‐Business
Suite
Financials
suppor;ng
their
business
in
La;n
America
! Advanced
Innova;ons
hosts
their
en;re
Oracle
Applica;ons
and
technology
plaVorm
on
Amazon
EC2
! Blue
Gecko
deployed
SAGE
Manufacturing’s
dev,
test,
DR
and
produc;on
Oracle
E-‐Business
Suite
environments
on
Amazon
EC2
31. “Amazon's
EC2
has
provided
our
customers
the
long,
sought
aker
leverage
&
flexibility
in
managing
infrastructure
for
an
Oracle
E-‐Business
Suite
environment.
Whether
it's
quickly
spinning
up
addi;onal
environments
to
support
that
unplanned,
urgent
project
or
crea;ng
an
economical
DR
solu;on,
we
con;nually
find
new
EC2
solu;ons
that
are
more
nimble
and
efficient.”
-‐
Rick
Harwood,
Manager,
Oracle
Applica;ons
Services
at
Blue
Gecko
31
32. “Advanced
Innova;ons
is
growing
revenue
at
over
100%
a
year
with
virtually
flat
headcount
and
a
global
IT
staff
of
two
people.
The
only
way
we've
been
able
to
accomplish
this
is
through
the
produc;vity
increases
and
rock
solid
combina;on
of
Oracle
Sokware,
including
Oracle
Data
Guard,
running
on
Amazon
Web
Services.”
-‐
Michael
Higgins,
CTO
of
Advanced
Innova;ons.
32
33. Summary
and
Observa?ons
! All
Oracle
products
are
cer;fied
on
Amazon
EC2
using
OVM
with
full
license
portability.
This
includes
Database,
Fusion
Middleware
and
Enterprise
Applica;ons.
! Organiza;ons
deploying
E-‐Business
Suite
and
other
Enterprise
Applica;ons
on
Amazon
Web
Services
are
able
to
reduce
deployment
;mes
from
days
or
weeks
to
minutes
or
hours.
! Amazon
RDS
on
Oracle
will
be
available
to
customers
in
Q2,
2011
with
support
Oracle
Database
11g
SE1,
SE
and
EE
and
flexible
licensing
op;ons.
! By
deploying
Oracle
Sokware
on
the
Amazon
Cloud,
Oracle
customers
are
able
to
fully
leverage
the
scalability,
reliability,
security
and
u;lity-‐based
pricing
model
of
Amazon
Web
Services
for
produc;on
workloads
34. For
More
Informa?on…
! Amazon
Web
Services
-‐
aws.amazon.com
! Amazon
Elas;c
Compute
Cloud
–
aws.amazon.com/ec2
! Amazon
Rela;onal
Database
Service
–
aws.amazon.com/rds
! Running
Oracle
on
AWS
–
aws.amazon.com/oracle
! Pre-‐configured
Oracle
AMIs
–
aws.amazon.com/amis/Oracle
! Oracle
Secure
Backup
Cloud
Module
! Product
Page:
hwp://www.oracle.com/us/products/database/secure-‐
backup-‐066578.html
! Documenta;on:
hwp://download.oracle.com/docs/cd/E14812_01/welcome.html
! Data
Sheet:
hwp://www.oracle.com/technetwork/database/enterprise-‐edi;on/
oracle-‐in-‐the-‐cloud-‐datasheet-‐1-‐133113.pdf?ssSourceSiteId=ocomen
! Download
the
latest
version
of
the
OSB
Cloud
Module
from:
hwp://
rman.s3.amazonaws.com/osbws_install.jar
34