Introduction to amazon web services for developersCiklum Ukraine
Introduction to Amazon Web Services for developers
About presenter
Roman Gomolko with 11 years of experience in development including 4 years of day-to-day work with Amazon Web Services.
Disclaimer
Cloud-hosting is buzz-word for a while and in my talk I would like to give an introduction to Amazon Web Services (AWS).
We will talk about basic building blocks of AWS like EC2, ELB, ASG, S3, CloudFront, RDS, IAM, VPC and other scary or funny abbreviations.
Then we will discuss how to migrate existing applications to AWS. This topic includes:
• how to design infrastructure and services to use when migrating
• how to choose proper instance types
• how to estimate infrastructure cost
• how it will affect performance of application migrated
Then we will make an overview of services provided by AWS and possible apply in your current of future applications:
• SQS
• DynamoDB
• Kinesis
• CloudSearch
• CodeDeploy
• CloudFormation
And if we survive we will talk a little how to design Cloud applications. That’s mainly about general principles.
My talk mostly targeted towards decision makers and decisions pushers of small and medium size companies which are consider “going cloud” or already moving into this direction. Everyone interested in gaining knowledge in these areas are welcomed as well.
We will spend around 2–3 hours together and you will be able to pitch-in any questions until we totally goes away from original plan.
Azure vs AWS Best Practices: What You Need to KnowRightScale
Azure is now the clear #2 in public cloud behind AWS. While some cloud users are evaluating Azure vs. AWS, many enterprises are planning to use both cloud providers. But there are some notable differences between how the two clouds operate and the best practices for deploying workloads in each.
The Azure vs. AWS Best Practices: What You Need to Know webinar will cover:
Recent and coming enhancements for Azure.
Azure vs. AWS differences for compute, networking, and storage.
Best practices for cloud deployments in Azure and AWS.
How to use both Azure and AWS.
Oracle Peoplesoft on AWS: A quick introductionTom Laszewski
This document provides an overview of moving Oracle PeopleSoft applications to Amazon Web Services (AWS). It summarizes the key benefits of running PeopleSoft on AWS, including high availability, scalability, and pay-as-you-go pricing. It also outlines sample application architectures on AWS and lessons learned from migration projects. Interactive demos and proof of concept services are available to help customers evaluate running PeopleSoft on AWS.
This document discusses auto-scaling in the cloud and provides a case study on MediaHub, a media sharing application. It describes MediaHub's architecture, which uses various AWS services like EC2, RDS, S3, CloudFront, and Elastic Beanstalk. It then provides best practices for developing applications in the cloud, such as automating infrastructure, controlling permissions, automating configuration, and designing for redundancy and parallelism. The document concludes that the cloud is not suitable for all applications and that applications must be designed for cloud-scale to reduce costs.
This document compares and contrasts Amazon Web Services and Windows Azure cloud platforms. It provides an overview of the different types of cloud services offered, including infrastructure as a service, platform as a service and private clouds. It then details the specific services available in each platform, such as compute, storage, databases and networking. Examples are given of how to architect applications for fault tolerance across cloud services.
This document provides an overview of why enterprises choose AWS and best practices for migrating applications to AWS. It discusses AWS design principles like designing for failure and implementing elasticity. It also covers topics like calculating total cost of ownership, customer migration lessons learned, and next steps to optimize applications in AWS.
Ian Massingham from Amazon Web Services discusses designing and building applications for the Internet of Things using AWS services. The document outlines how AWS IoT provides scalable connectivity and management for IoT devices, allows processing of sensor data from devices in AWS using services like DynamoDB and Lambda, and addresses challenges of limited capabilities on edge devices through Greengrass, which runs Lambda functions and messaging locally on devices. Greengrass provides the same programming model for both cloud and edge computing with IoT applications.
AWS Summit London 2014 - JUST EAT - High Availability and Rapid Changedaniel-richardson
Nearly 1,000 takeaways ordered a minute from hungry consumers, with near real time confirmation from restaurants and delivery of their food just 45 minutes later is a hard technical challenge.
AWS allows the many small engineering teams at JUST EAT to take responsibility to meet that challenge, as they build and operate a platform that delivers a takeaway experience for consumers to love.
Learn how we migrated our e-commerce platform to AWS and organise both our platform and teams around the the twin goals of rapid change and high availability. During the session we break things live in production, and watch how the JUST EAT platform is designed around AWS to recover quickly and automatically.
AWS ofrece una gran variedad de servicios de base de datos que se adaptan a los requisitos de su aplicación. Los servicios de bases de datos están totalmente administrados y se pueden implementar en cuestión de minutos con tan solo unos clics. Los servicios de AWS incluyen Amazon Relational Database Service (Amazon RDS), compatible con 6 motores de bases de datos comunes, Amazon Aurora, base de datos relacional compatible con MySQL con un desempeño 5 veces superior, Amazon DynamoDB, servicio de bases de datos NoSQL rápido y flexible, Amazon Redshift, almacén de datos a escala de petabytes, y Amazon Elasticache, servicio de caché en memoria compatible con Memcached y Redis. AWS también proporciona AWS Database Migration Service, un servicio que permite migrar las bases de datos a la nube de AWS de forma sencilla y rentable.
Uses, considerations, and recommendations for AWSScalar Decisions
From an information session on Amazon Web Services (AWS), looking at uses, considerations, and recommendations for leveraging AWS in your organization.
Topics covered:
- AWS Services Overview
- Some ideal use cases: Disaster Recovery, Backup and Archive, Test/Dev
- Data residency and security considerations
Scaling on AWS for the First 10 Million Users at Websummit DublinIan Massingham
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
This document discusses scaling applications on Amazon Web Services (AWS) as user counts increase. It begins with an overview of AWS services for applications with a single user, including compute (EC2), storage (EBS), load balancing (ELB), and auto-scaling. For applications with more than one user, it discusses choosing appropriate EC2 instance types and auto-scaling policies. The document then notes that as user counts grow to thousands or millions, it will discuss scaling strategies in further documents. It promotes additional AWS scaling guides and notes that the company presenting is hiring various roles.
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWSKristana Kane
This document provides an overview of migrating databases to AWS using Amazon RDS and AWS Database Migration Service (DMS). It discusses how AWS RDS offers scalable, managed relational databases, the different database engines supported by RDS, and key features like security, monitoring, high availability and scaling. It then covers how AWS DMS can be used to migrate databases to AWS with no downtime by continuously replicating and migrating data. Finally, it shares examples of how customers have used RDS and DMS for heterogeneous, homogeneous, large-scale and split migrations.
Oracle presentation from Gartner's Infrastructure, Operations & Data Centre Summit held in Sydney March 2010. Presentation delivered by Roland Slee, VP Database Product Management. Explains how customers can consolidate Oracle Database workloads onto a scale-out, industry-standard platform.
A brief audio summary of this presentation is available online here: http://audioboo.fm/boos/109000-oracle-s-roland-slee-summarises-his-gartner-datacentre-summit-presentation
A1 keynote oracle_infrastructure_as_a_service_move_any_workload_to_the_cloudDr. Wilfred Lin (Ph.D.)
This document discusses Oracle IaaS and its strategy to run any type of enterprise workload in the cloud. It highlights Oracle's breadth of compute, storage, and networking offerings including bare metal servers, virtual machines, containers, and dedicated compute. It emphasizes Oracle's performance leadership and the ability to run demanding workloads due to its global infrastructure of regions, availability domains, and ultra low latency/high bandwidth. The document also discusses Oracle's engineered systems, Cloud at Customer offering, and tools for migration and workload portability including Ravello.
NephoScale offers a cloud platform called NephOS that aims to provide high performance infrastructure and tools to enable collaboration between development and operations teams based on DevOps principles. NephOS provides fast virtual machines, dedicated servers, object storage, and tools like CloudScript for template-based deployment and elastic networking. NephoScale argues this solution can help customers develop, deploy, and improve applications faster with greater predictability and efficiency than other cloud providers.
AWS Certified Cloud Practitioner Course S11-S17Neal Davis
This deck contains the slides from our AWS Certified Cloud Practitioner video course. It covers:
Section 11 Databases and Analytics
Section 12 Management and Governance
Section 13 AWS Cloud Security and Identity
Section 14 Architecting for the Cloud
Section 15 Accounts, Billing and Support
Section 16 Migration, Machine Learning and More
Section 17 Exam Preparation and Tips
Full course can be found here: https://digitalcloud.training/courses/aws-certified-cloud-practitioner-video-course/
The AWS Private Equity organization utilizes the Recognized Cloud Transformation Leader (RCTL) program and Transformation Advisor role to enable portfolio company executives to successfully execute a cloud or digital transformation - accelerate migrations/modernization, remove transformation impediments and mitigate risk.
AWS PE Transformation Advisor program overview
Assigns a dedicated PE Transformation Advisor to the executive cloud sponsor (CxO or similar) for an 8-to-12-week engagement that can be further extended as needed. The PE Transformation Advisor aids the executive in value creation by removing transformation blockers, securing buy-in from the executive team, influencing the board, adapting business processes in support of cloud, and preparing the broader organization for the digital transformation.
During the engagement, the PE Transformation Advisor provides prescriptive guidance to define the transformation tenets and guiding principles, assist developing the business case, produce the cloud journey map, establish the Cloud Center of Excellence (CCoE), document KPIs, identify partners, and define the Cloud Operating Model (COM).
Organizing for faster innovation - People, process, culture, and technologyTom Laszewski
Organizing for faster innovation through people, process, culture, and technology transformation. Best practices, lesson learned, and a prescriptive approach to evolving and disrupting a company's people, process, culture, and technology during a digital and cloud transformation.
Creating an Operating Model to enable a high frequency organizationTom Laszewski
Establishing an appropriate cloud operating model is critical to forming your organization’s successful adoption of cloud, and delivering greater business agility, increasing the cloud migration Return on Investment, and deliver a more secure, performant, reliable, and cost effective cloud computing environment. The impact of the cloud will be felt across your entire organization, including processes and people - not just Information technology. It will significantly affect, and be affected by, your organizational culture and Information technology delivery structures. This session will provide prescriptive guidance regarding the best approaches to evolving an operating model from projects to products, manual, process intensive governance to a ‘trust but verify’ model, long development cycles to continuous integration and deployment, silos between business and IT into a collaborative organizational structure, self-service processes, and continuous improvement. The recommendations in the presentation are based upon lesson learned, best practices, and anti-patterns from thousands of customer’s cloud transformation journeys.
- AWS was asked to attend technical due diligence engagements for two companies to evaluate cost optimization and migration opportunities.
- For the first company, AWS projected $100K per month in cost savings from optimization and 11% lower costs from migrating applications to containers on AWS.
- For the second company, AWS estimated a 39% cost savings over 3 years from migrating applications to AWS, with average annual savings of $1.6M.
- After both deals closed, AWS collaborated on plans to realize identified savings and growth opportunities within 100 days.
AWS Cloud Center Excellence Quick Start Prescriptive GuidanceTom Laszewski
This presentation is a practical playbook for defining, establishing, and implementing a Cloud Enablement Engine (CEE). It collates and summarizes the lessons learned and anti-patterns gathered from the CEE journeys successfully navigated at Amazon and other large enterprise companies. A lot has been written about the need to establish a CEE, the benefits of moving to a productization mindset, and the business value of tribes, guilds, and two-pizza teams. However, larger organizations are still struggling with a CEE 30-60-90 day plan, and the essential components of the CEE during its first six months in existence.
The prescriptive guidance in this presentation provides pragmatic and tactical advice for establishing a Cloud Enablement Engine (CEE) – also referred to as a Cloud Center of Excellence (CCoE) or Cloud Enablement Team. This presentation serves as a step-by-step guide for the initial setup activities, and the top ten best practices that have been extrapolated from working across a large number of customers. What not to do is as important as what to do. Therefore, the top ten anti-patterns are discussed.
A key focus of the CEE is transforming the IT organization from an on-premise operating model to a Cloud Operating Model (COM). The transformation to COM and the charter of a CEE are highly correlated and interconnected. During the nascent stage of the CEE, the focus of the CEE will be on the infrastructure components of a COM. This includes the operations, security & control, platform architecture & governance, and infrastructure provisioning & configuration management functions. AWS understands that enterprise (on-premises) operating models are based on ITIL. Therefore, the cloud transformation from an on-premises operating model to a COM will include mapping ITIL to a cloud, agile, and DevOps based capabilities and processes. Fortunately, ITIL 4.0 embraces DevOps, cloud, and agile.
AWS Technical Due Diligence Workshop Session TwoTom Laszewski
First session in the one day Technical Due Diligence workshop. Overview the of AWS offerings, mechanisms, tools, and services that can be leveraged during a TDD. Review the AWS playbooks and runbooks.
AWS Technical Due Diligence Workshop Session OneTom Laszewski
First session in the one day Technical Due Diligence workshop. Understand the AWS approach to TDD along with the common use cases]/ hypothesis. Cover the AWS TDD case studies, and outputs from TDDs.
Once a Technical Due Diligence has been completed, the real work happens after the acquisition has closed. Here is a post Transaction value creation presentation that details the roadmap, programs, offerings, and resources to develop a 100 day plan and beyond.
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Topics covered:
- AWS Services Overview
- Some ideal use cases: Disaster Recovery, Backup and Archive, Test/Dev
- Data residency and security considerations
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In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses the techniques that AWS customers can use to create highly scalable infrastructure to support the operation of large scale applications on the AWS cloud.
Includes a walk-through of how you can evolve your architecture as your application becomes more popular and you need to scale up your infrastructure to support increased demand.
This document discusses scaling applications on Amazon Web Services (AWS) as user counts increase. It begins with an overview of AWS services for applications with a single user, including compute (EC2), storage (EBS), load balancing (ELB), and auto-scaling. For applications with more than one user, it discusses choosing appropriate EC2 instance types and auto-scaling policies. The document then notes that as user counts grow to thousands or millions, it will discuss scaling strategies in further documents. It promotes additional AWS scaling guides and notes that the company presenting is hiring various roles.
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This document provides an overview of migrating databases to AWS using Amazon RDS and AWS Database Migration Service (DMS). It discusses how AWS RDS offers scalable, managed relational databases, the different database engines supported by RDS, and key features like security, monitoring, high availability and scaling. It then covers how AWS DMS can be used to migrate databases to AWS with no downtime by continuously replicating and migrating data. Finally, it shares examples of how customers have used RDS and DMS for heterogeneous, homogeneous, large-scale and split migrations.
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A brief audio summary of this presentation is available online here: http://audioboo.fm/boos/109000-oracle-s-roland-slee-summarises-his-gartner-datacentre-summit-presentation
A1 keynote oracle_infrastructure_as_a_service_move_any_workload_to_the_cloudDr. Wilfred Lin (Ph.D.)
This document discusses Oracle IaaS and its strategy to run any type of enterprise workload in the cloud. It highlights Oracle's breadth of compute, storage, and networking offerings including bare metal servers, virtual machines, containers, and dedicated compute. It emphasizes Oracle's performance leadership and the ability to run demanding workloads due to its global infrastructure of regions, availability domains, and ultra low latency/high bandwidth. The document also discusses Oracle's engineered systems, Cloud at Customer offering, and tools for migration and workload portability including Ravello.
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Section 11 Databases and Analytics
Section 12 Management and Governance
Section 13 AWS Cloud Security and Identity
Section 14 Architecting for the Cloud
Section 15 Accounts, Billing and Support
Section 16 Migration, Machine Learning and More
Section 17 Exam Preparation and Tips
Full course can be found here: https://digitalcloud.training/courses/aws-certified-cloud-practitioner-video-course/
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AWS PE Transformation Advisor program overview
Assigns a dedicated PE Transformation Advisor to the executive cloud sponsor (CxO or similar) for an 8-to-12-week engagement that can be further extended as needed. The PE Transformation Advisor aids the executive in value creation by removing transformation blockers, securing buy-in from the executive team, influencing the board, adapting business processes in support of cloud, and preparing the broader organization for the digital transformation.
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- For the first company, AWS projected $100K per month in cost savings from optimization and 11% lower costs from migrating applications to containers on AWS.
- For the second company, AWS estimated a 39% cost savings over 3 years from migrating applications to AWS, with average annual savings of $1.6M.
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This presentation is a practical playbook for defining, establishing, and implementing a Cloud Enablement Engine (CEE). It collates and summarizes the lessons learned and anti-patterns gathered from the CEE journeys successfully navigated at Amazon and other large enterprise companies. A lot has been written about the need to establish a CEE, the benefits of moving to a productization mindset, and the business value of tribes, guilds, and two-pizza teams. However, larger organizations are still struggling with a CEE 30-60-90 day plan, and the essential components of the CEE during its first six months in existence.
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A key focus of the CEE is transforming the IT organization from an on-premise operating model to a Cloud Operating Model (COM). The transformation to COM and the charter of a CEE are highly correlated and interconnected. During the nascent stage of the CEE, the focus of the CEE will be on the infrastructure components of a COM. This includes the operations, security & control, platform architecture & governance, and infrastructure provisioning & configuration management functions. AWS understands that enterprise (on-premises) operating models are based on ITIL. Therefore, the cloud transformation from an on-premises operating model to a COM will include mapping ITIL to a cloud, agile, and DevOps based capabilities and processes. Fortunately, ITIL 4.0 embraces DevOps, cloud, and agile.
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TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
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HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
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2. What is ahead
• Introduction to Amazon Relational Database Service
– Enterprise database requirements and wishes
– Overview of Amazon RDS
– How well RDS fits enterprise application needs
– New features in RDS
• Partner Story
– How DLZP group uses RDS to implement Oracle Enterprise Applications for their customers.
– Overview of PeopleSoft Architecture on AWS
– Use Cases for AWS
– Moving to AWS Project Overview and Lessons Learned
• Customer Story
– How Select Staffing used RDS to cut cost and speed up migration of their PeopleSoft environments to AWS
10. New features in Amazon RDS
• Amazon RDS supports 3TB DB size and 30,000 Provisioned IOPS
• High Memory Instance with 244GB memory
• RDS for Oracle Supports Statspack
• New data migration capabilities for RDS for MySQL
• Create multiple Read Replicas in quick succession for RDS MySQL
• Create a replica from an existing Read Replica for RDS MySQL
• MySQL 5.6 with Memcached and Binary Log Access for RDS MySQL
• RDS for Oracle Supports TDE and Native Network Encryption
11. Amazon RDS - Great fit for Enterprise Application
Delivers Enterprise Application needs and wants
• Fully managed database engines that are commonly used for
Enterprise Applications.
• High-Availability and transparent failover
• Enterprise class performance and easy scalability
• Automated backups and easy replication
• Rapid provisioning and deployment
• Automation support with APIs and CloudFormation scripts
• Low-touch management/administration
12. Enterprise Application that AWS customers use with RDS include
• PeopleSoft
• JD Edwards
• Siebel
• ATG Web Commerce
• Jaspersoft
• SugarCRM
• Alfresco
14. About DLZP Group
• Established May 1, 2011
• Former PeopleSoft/Oracle Employees
• Based in Richmond, Texas
• Woman & Minority-Owned Business
• Founding Member of PeopleSoft on AWS Test Drive Initiative
15. Agenda
• Provide Overview of PeopleSoft Architecture on AWS
• Use Cases for AWS
• Moving to AWS Project Overview and Lessons
Learned
17. Our use cases for Oracle on AWS
Production
Instances of
Enterprise
Applications and
Databases
Development and
Test
Instances for
Enterprise and
custom applications
Training, POC,
Sandbox,
Patch Testing and
debugging instances
Disaster Recovery
Site
on AWS
18. Deployment Options
• New Implementation vs Migration
New Implementation Migration from On-Premise
No legacy infrastructure Legacy systems and on premise
dependencies require additional work.
Clean implementation using optimal
infrastructure
Restrictions can be imposed by legacy
setup and configuration
Built using current best practices Migrate to current best practices as
feasible.
Faster time to go-live system can be stood
up within 24 hours.
Longer timeline due to data migration
19. • Create a Replica of your on-site environment in the AWS Cloud
• Environment will be setup using YOUR Infrastructure Elements
AWS Instance type (Start small and scale-up based on performance/user needs)
OS’s (Unix, Linux, Microsoft)
Databases Supported (Oracle, DB2, MS SQL Server)
Supports PeopleSoft FSCM, HCM, ELM, EPM, Portal
• Allows your team to experiment with the AWS Cloud and validate
assumptions and feasibility.
PeopleSoft on AWS Proof of Concept Service
20. Approach to Moving to AWS
• Setup VPC
• Create Foundational infrastructure (Web, App, Proc, DB Servers)
• Copy Database Into AWS
• Complete Configuration
• Test Environment and Application
• Test Move to Production (2 Iterations Min)
• Move to Production
• Total Time to Deploy – 6-12 Weeks
Project Overview
21. • Migration of Large Databases (Timing)
• Customizations
• Connection to On-Premise Resources (i.e. LDAP, File Servers)
• Availability of Testing Team
Migration Challenges
22. • Environments can be provisioned on demand
• Reduce time to implementation
• Reduces complexity of technical environment
• Provides for ability to experiment with different scenarios with
minimal impact to your internal infrastructure
• Disk Space is available on demand as you grow
• Disaster Recovery is built into the infrastructure Design
• Standardized Infrastructure
• Scale up or Down based on Business needs.
• Repeatability of Deployments.
Benefits of Amazon Web Services
23. Things to Think about
• Always Setup VPC First
• RDS / EBS Volumes for Data Storage
• Think about Ports / Security Required to access applications /
printers, etc
• Think about other Applications that are required by your PeopleSoft
systems (Active Directory, etc)
24. • Provides 5 hours of PeopleSoft Running on AWS for FREE
• Guided walkthroughs for HCM, FSCM
• Environment used includes the following elements
M1 Medium AWS Instance
Microsoft Server Data Center Edition
MS SQL Server 2008
PeopleSoft 9.1 Feature Pack 2
• Provisioned in minutes
PeopleSoft Test Drive Lab
27. Overview of Company – Size of Organization
and Brief History
• Select Staffing is one of the 10 largest staffing companies in the
United States
• Over 400 offices across the country
• In business for over 20 years
• Based out of Santa Barbara, CA
28. Primary Reasons / Goals for Move to AWS.
Challenges
• internal infrastructure and
resources
• DR & Failover solution
• Cost of provisioning additional
infrastructure and internal
support
Goal
• Stable infrastructure
• Dynamic resource
provisioning
• Cost-effective
29. Major challenges with moving to AWS
• Upgrade challenges
• Oracle 10g to Oracle 11g
• Data transfer for go-live cut over
• 1.2 TB & 1 TB DB’s migrated over to AWS
• Required the use of Replication Software
30. Performance of AWS compared to your existing
environment.
• Ability to size the environment accordingly
• Ability to experiment with various configurations to minimize costs.
• Can size each component to its relevant scale
• Web Servers can be provisioned on Small Instances
• App / Process Scheduler Servers can be of various sizes to
manage the workload they are utilized for.
31. Key benefits gained by moving to AWS
• Greater visibility of costs and resource allocation
• Scalability without capital expenditures
• Test/QA flexibility
32. We are sincerely eager to hear
your feedback on this
presentation and on re:Invent.
Please fill out an evaluation form
when you have a chance.
Editor's Notes
#4: PCI DSS Level 1 compliantSSL connectivity for SQL Server and MySQLSupports column level encryptionSupports VPC based deploymentsAvailable in GovCloud
#5: Give details on the partner and customer to highlight their capabilities. Add a second slide to mention what the requirements of enterprise apps are (reliability, scalability, availability ..). Add a slide with list of Enterprise Apps that can use RDS (check with Ulf about MS apps) + SugarCRM …Comeback after customer preso to thank and mention RDS Free Tier.
#6: Push-button scaleScale storage from 5Gb to 3Tb and instance from small to cr1PreconfiguredGet started instantly with sensible default settingsAutomated patchingKeep your database platform up to date automaticallyBackupsAutomatic backups and point in time recovery and full DB backupsProvisioned IOPSSpecify IO throughput depending on requirementsFailoverAutomated failover to slave hosts in event of a failureReplicationEasily create read-replicas of your data and seamlessly replicate data across availability zones