Cloud computing Latest Interview Questions with Answers by Garuda TrainingsGaruda Trainings
Cloud computing provides on-demand access to virtualized IT resources that users can share or subscribe to. It allows configurable resources to be easily provided from a shared pool of networks, servers, storage, applications and services. There are three main layers of cloud computing: Infrastructure as a Service (IaaS) provides hardware resources, Platform as a Service (PaaS) provides development platforms, and Software as a Service (SaaS) provides applications for users. Cloud services can be deployed through private, public or hybrid clouds and are measured based on usage to allow users to pay only for what they use. Security is a major consideration in cloud computing across areas like identity management, access control, authorization and data transport.
Introduction
Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics and more—over the Internet (“the cloud”).
It is a paradigm that allows on-demand network access to shared computing resources. A model for managing, storing and processing data online via the internet.
Cloud computing Definition, Types of cloud, Cloud services: Benefits and challenges of cloud computing, Evolution of Cloud Computing, Applications cloud computing, Business models around Cloud, Major Players in Cloud Computing, Issues in Cloud - Eucalyptus - Nimbus - Open Nebula, CloudSim.
Cloud computing provides IT resources and services over the Internet. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides applications to users while the provider manages the infrastructure. PaaS provides platforms for developers to create applications without worrying about infrastructure. IaaS provides basic computing and storage infrastructure for users to deploy and run software.
In this Business Analysis Training session, you will learn Cloud computing. Topics covered in this session are:
• What is Cloud Computing
• Why Cloud Computing
• Inside a Cloud
• Understanding IaaS, PaaS & SaaS
• Public vs. Private Cloud
• Cloud Providers – A Birds Eye View
• Amazon EC2 – A Detailed Insight
• Google App Engine – An Overview
• Cloud Success Stories
• Challenges, Risks and Concerns
• Torry Harris Cloud Service Offerings
• Concluding Thoughts
To learn more about this course, visit this link: https://www.mindsmapped.com/courses/business-analysis/business-analysis-fundamentals-with-hands-on-training/
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Basic Cloud Computing and underlying technology, Hypervisor, Cloud Services, Cloud Deployment Models, AWS, REST APIs, Cloud Investment Trends, Cloud Investments, Cloud Value chain and lot of terms and references for further reading.
This document discusses cloud computing including its architecture, key facts, risks, applications and future. It defines cloud computing as dynamically scalable and virtualized resources provided over the Internet. The document outlines the layers of cloud computing including software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also discusses the benefits of cloud computing like flexibility, scalability and cost savings but notes security risks remain a challenge. The future of cloud computing is predicted to include more hybrid public-private models and growth in developing regions.
Cloud computing Latest Interview Questions with Answers by Garuda TrainingsGaruda Trainings
Cloud computing provides on-demand access to virtualized IT resources that users can share or subscribe to. It allows configurable resources to be easily provided from a shared pool of networks, servers, storage, applications and services. There are three main layers of cloud computing: Infrastructure as a Service (IaaS) provides hardware resources, Platform as a Service (PaaS) provides development platforms, and Software as a Service (SaaS) provides applications for users. Cloud services can be deployed through private, public or hybrid clouds and are measured based on usage to allow users to pay only for what they use. Security is a major consideration in cloud computing across areas like identity management, access control, authorization and data transport.
Introduction
Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics and more—over the Internet (“the cloud”).
It is a paradigm that allows on-demand network access to shared computing resources. A model for managing, storing and processing data online via the internet.
Cloud computing Definition, Types of cloud, Cloud services: Benefits and challenges of cloud computing, Evolution of Cloud Computing, Applications cloud computing, Business models around Cloud, Major Players in Cloud Computing, Issues in Cloud - Eucalyptus - Nimbus - Open Nebula, CloudSim.
Cloud computing provides IT resources and services over the Internet. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides applications to users while the provider manages the infrastructure. PaaS provides platforms for developers to create applications without worrying about infrastructure. IaaS provides basic computing and storage infrastructure for users to deploy and run software.
In this Business Analysis Training session, you will learn Cloud computing. Topics covered in this session are:
• What is Cloud Computing
• Why Cloud Computing
• Inside a Cloud
• Understanding IaaS, PaaS & SaaS
• Public vs. Private Cloud
• Cloud Providers – A Birds Eye View
• Amazon EC2 – A Detailed Insight
• Google App Engine – An Overview
• Cloud Success Stories
• Challenges, Risks and Concerns
• Torry Harris Cloud Service Offerings
• Concluding Thoughts
To learn more about this course, visit this link: https://www.mindsmapped.com/courses/business-analysis/business-analysis-fundamentals-with-hands-on-training/
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Basic Cloud Computing and underlying technology, Hypervisor, Cloud Services, Cloud Deployment Models, AWS, REST APIs, Cloud Investment Trends, Cloud Investments, Cloud Value chain and lot of terms and references for further reading.
This document discusses cloud computing including its architecture, key facts, risks, applications and future. It defines cloud computing as dynamically scalable and virtualized resources provided over the Internet. The document outlines the layers of cloud computing including software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also discusses the benefits of cloud computing like flexibility, scalability and cost savings but notes security risks remain a challenge. The future of cloud computing is predicted to include more hybrid public-private models and growth in developing regions.
cloud computing is a processing that includes a huge number of computer systems linked through a interaction system such as the Internet, similar to application processing.In technology, reasoning processing is a replacements for allocated processing over a system, and means the ability to run a program or application on many linked computer systems at the same time.
Network-based services, which appear to be offered by actual server components and are in fact offered up by exclusive components simulated by software running on one or more actual devices, are often called reasoning processing. Such exclusive web servers do not actually are available and can therefore be shifted around and scaly up or down on the fly without impacting the end user, somewhat like a reasoning becoming bigger or more compact without being a physical item.
More Details Visit us:http://garudatrainings.com/cloud-computing-online-training
GarudaTrainings offer:
·Web testing project.
·Resume builder project.
·Testing Printers/drivers.
·Posting resumes.
·Mock interviews.
·Hands on training.
·On job support.
Register For A Free DEMO:
www.GarudaTrainngs.com
Ph No:508-841-6144
Email:garudatrainings@gmail.com
This document provides an introduction to cloud computing, including:
- Defining cloud computing as enabling on-demand access to shared configurable computing resources over the internet.
- Describing the key characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
- Explaining the different service models of cloud computing including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
The document discusses cloud computing, including its advantages of lower costs, pay-as-you-go computing, elasticity and scalability. It describes cloud computing models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses major cloud computing vendors and the growing worldwide cloud services revenue.
Synopsis on cloud computing by Prashant uptaPrashant Gupta
This document provides an overview of cloud computing. It defines cloud computing as using shared computing resources over the internet rather than local servers or personal devices. The document outlines key aspects of cloud computing including cloud storage, architecture, types of clouds (public, private, hybrid), characteristics, advantages, and disadvantages. It concludes that cloud computing enables on-demand access to computing resources from any internet-connected device and is transforming how applications and businesses operate.
This presentation is useful for who wants to know about the basics of cloud computing and the various approaches of cloudcomputing.It also explains the various advantages/disadvantages and also the risks of cloudcomputing.
Curious about the cloud? We've got answers. Join HOSTING for an overview of cloud hosting and computing basics. From the history of the cloud to the projected future, we'll investigate the foundation of this $2.1 billion industry.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
This document discusses cloud computing, including definitions, advantages, and types of cloud services. Cloud computing provides scalable infrastructure over networks to host applications, data, and files. It reduces costs for computation, hosting, storage, and delivery. The cloud allows access to information from anywhere and removes the need to store data locally. Small businesses can use cloud storage instead of purchasing hardware. The cloud offers low barriers to entry, scalability, multi-tenancy, and device independence. Companies move to the cloud to reduce costs, optimize personnel usage, and gain scalability. The cloud delivers infrastructure, self-service management, and pay-per-use models. Both consumers and businesses widely use cloud services like email, social media, reservations
This document provides an overview of cloud computing. It defines cloud computing as delivering hosted services over the Internet, which are broadly divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document discusses the economics of cloud computing and how it allows users to avoid capital expenditures and pay based on usage. Some key advantages are improved agility, lower costs by converting capital expenditures to operational expenditures, and pricing based on a utility or subscription model.
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
Cloud computing is a general term for networked services and resources provided over the internet. It allows users to access computing power, databases, and applications remotely through web services. Key characteristics include on-demand access to computing resources, elasticity to scale up or down based on needs, and a pay-as-you-go model where users only pay for what they use. Common cloud service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Virtualization is a core technology enabling cloud computing by allowing multiple virtual machines to run on a single physical machine. Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Cloud computing involves delivering computing services over the Internet. There are three main types of cloud services: Infrastructure as a Service (IaaS) provides hardware resources that customers maintain; Platform as a Service (PaaS) allows customers to deploy applications using the provider's infrastructure; and Software as a Service (SaaS) provides software to customers through the Internet without requiring installation. Cloud infrastructure can be public, accessed openly on the Internet; private, for exclusive use within an organization; or hybrid, combining public and private models.
ERP-CLOUD COMPUTING,Types of cloud, Types of cloud,Private cloud ,public cloud,hybridc cloud services,Iaas,Paas,Saas.Cloud security, FedRamp,
Local server Vs Cloud server. Cost in Deploying cloud server,Sales force,Pay-use-model.cloud storage,amazon,future of cloud computing,virtual storage,encrytion of data,tokenization.advantages of cloud.
With cloud computing, the software programs one use aren’t run from one’s personal computer but are rather stored on servers accessed via the Internet. Unlike traditional computing, this cloud computing model isn’t PC-centric, it’s document-centric.
this ppt is for getting the knowledge about :
1. cloud computing
2. what is cloud and idifferent types of clouds
3. benifits of cloud computing
4. different services ie SAAS IAAS and PAAS services
5. applications of cloud computing in various fields
6. future with cloud computing
This document discusses cloud computing. It begins with an introduction defining cloud computing as internet-based computing where shared resources are provided on demand. It then covers the history, components, architecture, types (public, private, hybrid), advantages of flexibility, low cost and easy management, and disadvantages of dependency and security issues of cloud computing.
The document presents a presentation on cloud computing. It begins with an outline of topics to be covered, including definitions of cloud computing, the history of cloud computing, components and characteristics of cloud computing, cloud service models, types of clouds, cloud architecture, properties, security, operating systems, applications, and advantages and disadvantages. It then goes on to define cloud computing and describe its various components, characteristics, service models including SaaS, PaaS, and IaaS. It also discusses types of clouds, properties, security considerations, operating systems, applications, and the advantages and disadvantages of cloud computing.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
This document provides an introduction to cloud computing. It discusses the benefits of cloud computing like pay-as-you-go models and operational expense instead of capital expense. It defines cloud computing and introduces its essential characteristics, service models of SaaS, PaaS and IaaS, and deployment models of private, public and hybrid clouds. It demonstrates using Amazon EC2 as an example of infrastructure as a service.
App Dev in the Cloud: Not my circus, not my monkeys...Eric D. Schabell
When faced with all the hype around Cloud, most application developers are not really all that excited. Maybe you get that feeling that it isn't your problem, just leave me to my applications. Let me show you why, as an application developer, you can't ignore your Cloud stack anymore.
We will examine your Cloud stack anxieties and provide you with a solutions to ease you into your first private PaaS on your own local machine that you can install in just minutes. Finally you will be given a myriad of examples to take home with you to take control of this circus and own the monkeys!
http://www.schabell.org/2016/12/codemotion-rome-2017-app-dev-in-cloud-monkeys.html
cloud computing is a processing that includes a huge number of computer systems linked through a interaction system such as the Internet, similar to application processing.In technology, reasoning processing is a replacements for allocated processing over a system, and means the ability to run a program or application on many linked computer systems at the same time.
Network-based services, which appear to be offered by actual server components and are in fact offered up by exclusive components simulated by software running on one or more actual devices, are often called reasoning processing. Such exclusive web servers do not actually are available and can therefore be shifted around and scaly up or down on the fly without impacting the end user, somewhat like a reasoning becoming bigger or more compact without being a physical item.
More Details Visit us:http://garudatrainings.com/cloud-computing-online-training
GarudaTrainings offer:
·Web testing project.
·Resume builder project.
·Testing Printers/drivers.
·Posting resumes.
·Mock interviews.
·Hands on training.
·On job support.
Register For A Free DEMO:
www.GarudaTrainngs.com
Ph No:508-841-6144
Email:garudatrainings@gmail.com
This document provides an introduction to cloud computing, including:
- Defining cloud computing as enabling on-demand access to shared configurable computing resources over the internet.
- Describing the key characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
- Explaining the different service models of cloud computing including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
The document discusses cloud computing, including its advantages of lower costs, pay-as-you-go computing, elasticity and scalability. It describes cloud computing models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses major cloud computing vendors and the growing worldwide cloud services revenue.
Synopsis on cloud computing by Prashant uptaPrashant Gupta
This document provides an overview of cloud computing. It defines cloud computing as using shared computing resources over the internet rather than local servers or personal devices. The document outlines key aspects of cloud computing including cloud storage, architecture, types of clouds (public, private, hybrid), characteristics, advantages, and disadvantages. It concludes that cloud computing enables on-demand access to computing resources from any internet-connected device and is transforming how applications and businesses operate.
This presentation is useful for who wants to know about the basics of cloud computing and the various approaches of cloudcomputing.It also explains the various advantages/disadvantages and also the risks of cloudcomputing.
Curious about the cloud? We've got answers. Join HOSTING for an overview of cloud hosting and computing basics. From the history of the cloud to the projected future, we'll investigate the foundation of this $2.1 billion industry.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
This document discusses cloud computing, including definitions, advantages, and types of cloud services. Cloud computing provides scalable infrastructure over networks to host applications, data, and files. It reduces costs for computation, hosting, storage, and delivery. The cloud allows access to information from anywhere and removes the need to store data locally. Small businesses can use cloud storage instead of purchasing hardware. The cloud offers low barriers to entry, scalability, multi-tenancy, and device independence. Companies move to the cloud to reduce costs, optimize personnel usage, and gain scalability. The cloud delivers infrastructure, self-service management, and pay-per-use models. Both consumers and businesses widely use cloud services like email, social media, reservations
This document provides an overview of cloud computing. It defines cloud computing as delivering hosted services over the Internet, which are broadly divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document discusses the economics of cloud computing and how it allows users to avoid capital expenditures and pay based on usage. Some key advantages are improved agility, lower costs by converting capital expenditures to operational expenditures, and pricing based on a utility or subscription model.
Cloud architectures can be thought of in layers, with each layer providing services to the next. There are three main layers: virtualization of resources, services layer, and server management processes. Virtualization abstracts hardware and provides flexibility. The services layer provides OS and application services. Management processes support service delivery through image management, deployment, scheduling, reporting, etc. When providing compute and storage services, considerations include hardware selection, virtualization, failover/redundancy, and reporting. Network services require capacity planning, redundancy, and reporting.
Cloud computing is a general term for networked services and resources provided over the internet. It allows users to access computing power, databases, and applications remotely through web services. Key characteristics include on-demand access to computing resources, elasticity to scale up or down based on needs, and a pay-as-you-go model where users only pay for what they use. Common cloud service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Virtualization is a core technology enabling cloud computing by allowing multiple virtual machines to run on a single physical machine. Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Cloud computing involves delivering computing services over the Internet. There are three main types of cloud services: Infrastructure as a Service (IaaS) provides hardware resources that customers maintain; Platform as a Service (PaaS) allows customers to deploy applications using the provider's infrastructure; and Software as a Service (SaaS) provides software to customers through the Internet without requiring installation. Cloud infrastructure can be public, accessed openly on the Internet; private, for exclusive use within an organization; or hybrid, combining public and private models.
ERP-CLOUD COMPUTING,Types of cloud, Types of cloud,Private cloud ,public cloud,hybridc cloud services,Iaas,Paas,Saas.Cloud security, FedRamp,
Local server Vs Cloud server. Cost in Deploying cloud server,Sales force,Pay-use-model.cloud storage,amazon,future of cloud computing,virtual storage,encrytion of data,tokenization.advantages of cloud.
With cloud computing, the software programs one use aren’t run from one’s personal computer but are rather stored on servers accessed via the Internet. Unlike traditional computing, this cloud computing model isn’t PC-centric, it’s document-centric.
this ppt is for getting the knowledge about :
1. cloud computing
2. what is cloud and idifferent types of clouds
3. benifits of cloud computing
4. different services ie SAAS IAAS and PAAS services
5. applications of cloud computing in various fields
6. future with cloud computing
This document discusses cloud computing. It begins with an introduction defining cloud computing as internet-based computing where shared resources are provided on demand. It then covers the history, components, architecture, types (public, private, hybrid), advantages of flexibility, low cost and easy management, and disadvantages of dependency and security issues of cloud computing.
The document presents a presentation on cloud computing. It begins with an outline of topics to be covered, including definitions of cloud computing, the history of cloud computing, components and characteristics of cloud computing, cloud service models, types of clouds, cloud architecture, properties, security, operating systems, applications, and advantages and disadvantages. It then goes on to define cloud computing and describe its various components, characteristics, service models including SaaS, PaaS, and IaaS. It also discusses types of clouds, properties, security considerations, operating systems, applications, and the advantages and disadvantages of cloud computing.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
This document provides an introduction to cloud computing. It discusses the benefits of cloud computing like pay-as-you-go models and operational expense instead of capital expense. It defines cloud computing and introduces its essential characteristics, service models of SaaS, PaaS and IaaS, and deployment models of private, public and hybrid clouds. It demonstrates using Amazon EC2 as an example of infrastructure as a service.
App Dev in the Cloud: Not my circus, not my monkeys...Eric D. Schabell
When faced with all the hype around Cloud, most application developers are not really all that excited. Maybe you get that feeling that it isn't your problem, just leave me to my applications. Let me show you why, as an application developer, you can't ignore your Cloud stack anymore.
We will examine your Cloud stack anxieties and provide you with a solutions to ease you into your first private PaaS on your own local machine that you can install in just minutes. Finally you will be given a myriad of examples to take home with you to take control of this circus and own the monkeys!
http://www.schabell.org/2016/12/codemotion-rome-2017-app-dev-in-cloud-monkeys.html
The document provides guidance on preparing for an interview at Amazon for a software engineering role. It recommends:
1. Spending 400 hours over several months to thoroughly understand algorithms, data structures, and coding problems while implementing solutions in a chosen language.
2. Practicing how to discuss problem solving approaches and connect solutions to computing resources.
3. Preparing answers to common interview questions about work experience, skills, and computer science fundamentals.
The key aspects are developing strong technical skills and practice explaining your thought process during problem solving to demonstrate your qualifications for the role.
This document discusses DevOps practices at Amazon, including:
1. Amazon uses DevOps practices like continuous integration, deployment, and automation to deploy code changes frequently and reliably, with mean deployment times of 11.6 seconds and up to 10,000 deployments in an hour.
2. Adopting DevOps practices has led to a 75% reduction in outages from software deployments and a 90% reduction in outage minutes since 2006.
3. The document outlines DevOps tools and practices used at Amazon like AWS services for version control, continuous integration, deployment automation, and monitoring.
This document provides an introduction to OpenStack, an open-source cloud operating system. It begins by defining OpenStack as a set of tools for building public or private clouds, then describes its key components like compute, storage, networking, and identity services. The document compares OpenStack to AWS, noting similarities and differences in their virtual machine, storage, networking, security, and orchestration services. It also outlines when OpenStack may be better suited than AWS, such as for organizations with specific hardware requirements. Finally, it briefly introduces DevOps tools like Chef, Puppet, and Ansible that can be used to automate operations on OpenStack clouds.
AWS re:Invent 2016: Best Practices for Data Warehousing with Amazon Redshift ...Amazon Web Services
Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this session, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance. We also discuss how to design optimal schemas, load data efficiently, and use work load management.
This webinar discusses RISO Inc.'s experience migrating their on-premise data center to the AWS cloud with assistance from Apps Associates. [1] Apps Associates designed and implemented the new infrastructure on AWS, migrating applications like Oracle ERP and SQL servers. [2] This provided benefits like a 35% reduction in backup costs, 50% fewer IT vendors, and the ability to relocate offices without interrupting operations. [3] The webinar explores considerations for cloud migrations and the hybrid cloud model.
(1) Amazon developed DevOps tools and processes to support their transition from monolithic application development to microservices and continuous delivery. (2) They created AWS CodeDeploy for automated deployments across environments without downtime, AWS CodePipeline to model release processes and integrate tools, and AWS CodeCommit for secure, managed Git source control. (3) These services help teams continuously deliver software by automating deployments and release processes.
Slides for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
This document provides an overview of cloud computing including popular definitions, deployment models, delivery models, NoSQL databases, vendor lock-in, and security concerns. It defines cloud computing based on an on-demand, self-service model with scalable, measurable resources. The document outlines infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) delivery models and discusses public, private, hybrid, and community cloud deployment models.
AWS Enterprise Day | Running Critical Business Applications on AWSAmazon Web Services
The Cloud Journey for many enterprise customers starts with an initial migration of websites and mobile applications to AWS, followed by deployment of their critical business services. These services, such as SAP and Oracle, are typically more complex and underpin many business processes in the customer's organisation and may be deployed as hybrid solutions, integrated closely with other internal and external services. To do this, customers need to have fast and reliable connectivity to existing on-premise networks, as we covered in the previous session. Let's look at how we can now build on that to help you understand the benefits that many customers have achieved when they moved their business applications to AWS.
The document discusses challenges and best practices for building applications for the cloud. Traditional architectures are not well-suited for the cloud as they are bound to static resources, hard to maintain, insecure, and non-scalable. Applications need an elastic architecture that can grow and shrink based on demand, with no downtime and data or transaction loss. They also need to be memory-based and easy to operate on the cloud. GigaSpaces XAP provides a solution through application-level virtualization that is linearly scalable, secure, fast, and easy to deploy and monitor on the cloud.
Oracle's cloud computing strategy is to support both public and private clouds to give customers choice. Oracle offers the technology to build private clouds or run workloads in public clouds. It also offers applications deployed in private shared services environments or via public SaaS. The strategy is based on Oracle's existing virtualization, grid computing, shared services, and management technologies and provides customers the most complete, open, and integrated cloud vision and offerings.
Databarracks & SolidFire - How to run tier 1 applications in the cloud NetApp
This document discusses running tier 1 applications in the cloud. It begins with introductions of the presenters, Mark Thomas from Databarracks and Dave Wright from SolidFire. Common issues with running tier 1 apps in cloud include lack of vendor support, performance concerns, unknown storage impacts, and security perceptions. Solutions discussed include reserving compute and storage resources through techniques like ring fencing, disk reservation, and auto tiering. The document advocates re-engineering apps for cloud and leveraging a provider like Databarracks that uses SolidFire storage, which guarantees performance through quality of service functions at a per-volume level. This allows dedicating resources on a per-client basis to address noisy neighbor effects and provide visibility into input/output
Solving enterprise challenges through scale out storage & big compute finalAvere Systems
Google Cloud Platform, Avere Systems, and Cycle Computing experts will share best practices for advancing solutions to big challenges faced by enterprises with growing compute and storage needs. In this “best practices” webinar, you’ll hear how these companies are working to improve results that drive businesses forward through scalability, performance, and ease of management.
The slides were from a webinar presented January 24, 2017. The audience learned:
- How enterprises are using Google Cloud Platform to gain compute and storage capacity on-demand
- Best practices for efficient use of cloud compute and storage resources
- Overcoming the need for file systems within a hybrid cloud environment
- Understand how to eliminate latency between cloud and data center architectures
- Learn how to best manage simulation, analytics, and big data workloads in dynamic environments
- Look at market dynamics drawing companies to new storage models over the next several years
Presenters communicated a foundation to build infrastructure to support ongoing demand growth.
Building Low Cost Scalable Web Applications Tools & Techniquesrramesh
The document discusses tools and techniques for building low-cost, scalable web applications. It recommends using a *nix operating system for stability and low cost. It emphasizes performance and scaling through techniques like caching, clustering, database replication, and scaling out to additional servers. It also discusses reducing network latency through content delivery networks and storing and replicating data across servers using services like Amazon S3.
Identifying Workloads to Move to the CloudRightScale
RightScale Webinar: Cloud infrastructure offers a new set of building blocks for cost effectively deploying and managing applications. One of the first questions encountered is often which application workloads present the best fit? We’ll start by profiling different environments (datacenter, hosted and public/private cloud) and highlight the application characteristics that align well for each. We’ll then discuss the most common use cases we encounter and the reference architectures we’ve used to deliver them. Along the way, we’ll work to provide guidance how to evaluate company workloads for public, private and hybrid cloud deployments and when it makes sense to re-architect applications.
Webinar aws 101 a walk through the aws cloud- introduction to cloud computi...Amazon Web Services
Whether you are running applications that share photos or support critical operations of your business, you need rapid access to flexible and low cost IT resources. The term "cloud computing" refers to the on-demand delivery of IT resources via the Internet with pay-as-you-go pricing. Whether you are a start-up who wants to accelerate growth without a big upfront investment in cash or time for technology or an Enterprise looking for IT innovation, agility and resiliency while reducing costs, the AWS Cloud provides a complete set of web services at zero upfront costs which are available with a few clicks and within minutes. Join this webinar to learn more about the benefits of Cloud Computing and:
- The history of AWS and how a global online retailer got into cloud computing
- The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
- The AWS service portfolio and the global footprint on which it is delivered
- The value proposition of the AWS Cloud
- Use cases to help you relate cloud based infrastructure to your own needs
- Busting the myths around cloud computing
- No prior experience is necessary, so join us for an overview of the AWS cloud services, and a discussion on how cloud computing can help accelerate innovation in your company.
Cloud computing provides scalable computing resources on demand that can be accessed over the internet. The document discusses different types of cloud computing including public, private and hybrid clouds. It also summarizes how cloud management systems like RightScale allow users to launch and configure virtual servers across multiple cloud providers, deploy applications across server templates for flexibility, and manage multiple servers as a unified deployment. The demo portion shows how to launch a server, dynamically configure server templates, and manage a multi-server environment on RightScale's cloud management platform.
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...Amazon Web Services
Traditional disaster recovery (DR) has had a spotty record for enterprises. This session compares conventional approaches to DR to those using the AWS cloud and talks about the four ascending levels of AWS DR options and the benefits and tradeoffs among them. The session goes on to discuss backup and restore architectures both using partner products and solutions that assist in backup, recovery, DR, and continuity of operations (COOP).
Build & Deploy Scalable Cloud Applications in Record TimeRightScale
The document summarizes a presentation about developing and deploying scalable cloud applications using WaveMaker and RightScale. WaveMaker is a platform for rapidly developing web and cloud applications while RightScale is a cloud management platform that allows deploying and managing applications across different cloud infrastructures. The presentation included demos of building an application with WaveMaker and deploying/managing it using RightScale's automation and scaling capabilities.
RightScale Webinar: So you want to move to the cloud... but you’re not sure what that means, or where you would even start. Or you want to get your feet wet with a proof-of-concept project before you bring out the big guns. We asked Brian Adler, our Professional Services Architect who works directly with customers on cloud projects every single day, to select five cloud projects that you can get started with (and complete!) quickly. In this webinar, Brian and Rafael Saavedra, our VP of Engineering, will walk you through those five projects and will help you demonstrate success in the cloud now.
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016Amazon Web Services
Felix Candelario
Global Financial Services Solutions Architect explains the high level AWS Cloud Architecture, the concepts behind Availability Zones, Regions and how they relate with the traditional concept of Data Centers, Pods. He concludes with a presentation on how applications can be architected for the AWS Cloud, and how Mission Critical, Disaster Recovery and Business Continuity architectures are in use by Financial Services customer today.
Ask The Architect: RightScale & AWS Dive Deep into Hybrid ITRightScale
With the increased use of cloud services, organizations are faced with finding the most efficient way to use existing IT infrastructure alongside cloud-based compute, storage and networking resources. This has resulted in the rise of hybrid IT whereby companies leverage both on-premises and cloud resources to drive increased agility, stability and accessibility.
Gomez Blazing Fast Cloud Best Practices Compuware APM
Are you planning to deploy Web applications in the cloud? Will their performance be acceptable? What will you do to make sure?
There are a lot of good reasons to deploy applications in a cloud environment — but they are all forgotten if your application is slow or has poor availability. Poor performance results in unhappy, lost customers. Traditional data center techniques for monitoring, measuring, and optimizing Web application performance won’t work in the cloud. There are a new set of best practices that you need to learn to optimize the performance of your cloud-based Web applications.
Scaling Databricks to Run Data and ML Workloads on Millions of VMsMatei Zaharia
Keynote at Scale By The Bay 2020.
Cloud service developers need to handle massive scale workloads from thousands of customers with no downtime or regressions. In this talk, I’ll present our experience building a very large-scale cloud service at Databricks, which provides a data and ML platform service used by many of the largest enterprises in the world. Databricks manages millions of cloud VMs that process exabytes of data per day for interactive, streaming and batch production applications. This means that our control plane has to handle a wide range of workload patterns and cloud issues such as outages. We will describe how we built our control plane for Databricks using Scala services and open source infrastructure such as Kubernetes, Envoy, and Prometheus, and various design patterns and engineering processes that we learned along the way. In addition, I’ll describe how we have adapted data analytics systems themselves to improve reliability and manageability in the cloud, such as creating an ACID storage system that is as reliable as the underlying cloud object store (Delta Lake) and adding autoscaling and auto-shutdown features for Apache Spark.
Cloud Done Right - PaaS is the Remedy to VM HangoverMohamad Afshar
Virtualized hardware is all the rage in enterprise IT. However, is a purely virtualization-focused, Infrastructure-as-a-Service (IaaS) approach really the right one for enterprises and government? What’s becoming clear is that virtualization is but one piece of a much bigger strategy for fast, self-service deployment and ultra-efficient operations, referred to as “platform as a service” (PaaS). PaaS leverages a wider set of middleware capabilities to enable application deployment in minutes rather than days and reduces operational costs by up to 90%. This general session will compare and contrast the IaaS and PaaS approaches, discussing architectural and operational considerations for PaaS using examples of best practices. It's a must-attend session for anyone considering building a private cloud.
During the “Architecting for the Cloud” breakfast seminar where we discussed the requirements of modern cloud-based applications and how to overcome the confinement of traditional on-premises infrastructure.
We heard from data management practitioners and cloud strategists from Amazon Web Services and NuoDB about how organizations are meeting the challenges associated with building new or migrating existing applications to the cloud.
Finally, we discussed how the right cloud-based architecture can:
- Handle rapid user growth by adding new servers on demand
- Provide high performance even in the face of heavy application usage
- Offer around-the-clock resiliency and uptime
- Provide easy and fast access across multiple geographies
- Deliver cloud-enabled apps in public, private, or hybrid cloud environments
How to hire a developer that doesn't suckSean Hull
Finding great talent has never been tougher. With a competitive market, engineers are in great demand. How to find them? Where do they spend time? How to appeal & attract them? How to interview them? I discuss all this & more.
The document proposes a doodle app architecture for Acme Inc. that uses serverless cloud functions to handle image uploads, editing, albums and popularity tracking, stores data in databases, caches photos at the edge with a CDN, and questions Acme Inc.'s requirements, infrastructure needs, and technical expertise to support the app.
The document discusses the evolution of data centers from the 1990s to today and the rise of cloud computing. It describes infrastructure as a service (IaaS) which provides raw computing power on demand from the cloud. Some benefits of the cloud include on-demand scaling, lower upfront costs, easier disaster recovery, and automated deployments. However, challenges include potential performance issues due to shared resources and security considerations. The cloud is well-suited for applications with seasonal traffic patterns, short-term needs, or augmenting existing infrastructure. The summary concludes that adopting a hybrid cloud approach or using the cloud's auto-scaling abilities could save costs depending on factors like existing infrastructure investments and disaster recovery spending.
The document compares MySQL and Oracle databases in terms of features, strengths for different applications, licensing costs, and case studies of companies using MySQL. Some key points covered include MySQL being better suited for web-facing and intranet applications due to its low overhead and simplicity, while Oracle has more advanced features making it more suitable for large or complex projects. Licensing and support costs are significantly lower for MySQL compared to Oracle editions. Real-world examples are provided of companies successfully using MySQL for high traffic web applications and startups.
This document provides step-by-step instructions for setting up a MySQL Cluster sandbox. It discusses MySQL Cluster concepts like NDB storage engine, ndbd nodes, and ndb_mgmd monitor nodes. It also covers configuration, performance considerations, limitations, and joining data from different storage engines. The conclusion is that MySQL Cluster provides unique database clustering with some features and limitations, and performance must be tested thoroughly.
The document summarizes MySQL replication, including how the master records changes to the binary log and how the slave copies and replays SQL from the relay log. It discusses limitations of replication and provides recommendations for auditing application code and testing and verifying the replication setup, including using tools from Maatkit like mk-table-checksum. It demonstrates installing Maatkit and MySQL Sandbox, performing initial checksums, adding a bad row, verifying the issue on the slave, fixing the bad row, and verifying the fix.
This document discusses using DRBD (Distributed Replicated Block Device) with MySQL to provide high availability (HA). DRBD provides synchronous replication of block devices across servers, allowing exact copies of the MySQL database to be maintained on both servers. With DRBD and MySQL together in an active-passive configuration, and using tools like Heartbeat for monitoring and failover, a highly-available MySQL cluster can be achieved with little performance overhead compared to running on a local disk. The document provides instructions for setting up a proof-of-concept HA cluster using DRBD, MySQL, and VirtualBox virtual machines.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
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!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
2. ABOUT: SEAN HULL
20 Years Professional Technology Experience
Speaker IOUG, NYOUG, Meetups
Online: DBJ, OTN, IOUG Select, ChangeThis
Experience with 1/2 Dozen Cloud Hosted Firms
Book Author: Oracle & Open Source - O’Reilly 2001
3. INTRODUCTION
Oracle on Sun >> Oracle on Commodity Hardware
Migration to Cloud Hosted Applications
Lower SLA, Less Reliable Servers & Disk Perf
Economic Pressure Trumps Quality & Performance
Flexibility in Deployments
Flexibility in Spending
4. CLOUD ADVANTAGES
On-demand Compute Power
Low Up-front Costs
Autoscaling
Easier Disaster Recovery & Compromise Response
Disciplined Deployments, IaaS & Automation
Availability Zones & Regions
6. CHALLENGE: PERFORMANCE
EBS Volumes Can Be Spotty - Use RAID0
Experience at Co. in Group Buying Space
4x EBS Vols in RAID0 Brought 3.5x Speedup
1Gb Ethernet Saturation Point
CPU Contention - Consider Dedicated Instances
Use EBS Rooted Servers - Not Instance Store
7. CHALLENGE: UNRELIABILITY
Automate Server Spinups
Perform Firedrill Tests & Document
Deploy In Multiple Availability Zones & Regions
Employ Automated Monitoring Systems
Consider Geographically Distributed Load Balancing
8. CHALLENGE: SECURITY
Location of Data & Compliance
Potential Bugs in Virtualization Software
Managing Credentials
Password Recovery Mechanisms
9. CHALLENGE: SECURITY
No Perimeter Security
Use Security Groups - Mimic Firewall/VPN
Use Principle of Least Privilege
Consider Virtual Private Cloud
Consider 3rd Party Solutions
11. CHALLENGE: SECURITY
Take Care in Choosing Secure Base AMIs
Don’t Store Sensitive Data in an AMI
Pass In Credentials at Spinup Time
Avoid Additional Default Accounts Baked In
Consider Intrusion detection & Apparmor
Bake In Packages to Avoid Version Changes
12. CHALLENGE: DATABASES
Perform Replication Integrity Checking
Backups: Logical, Hot Backups & Offsite Backups
Use EBS Volumes & Software RAID0
Vertical & Horizontal Scaling
Use Availability Zones to Improve HA, Mitigate SLA
Consider Encryption for FS & Network Traffic
13. CHALLENGE: DATABASES
Automate Spinups & Check for DB Mount
War Story - Production Outage
Targeted Ad Business - Hosted on EC2
Rightscale Managed - Third Party Monitored
Templated Replication Rebuild
14. CHALLENGES: DATABASES
RDS Offering
Downtime Window - 30min/week
Slightly Cumbersome Config Changes
Still Need to Perform Integrity Checking
Beware Version Upgrades
Can’t Use Percona, Can’t Encrypt Filesystem
15. CHALLENGE: LEARNING
CURVE
Server Spinups, AMIs, Shifting IP Addresses
Automation Requires More Forethought
Devops - Manage Infrastructure as Code
Security Groups, Credentials Mgmt, Encryption
Provisioning, Metered Spending Rate
16. FURTHER QUESTIONS
What Types of Applications Make Sense?
How Do I Build for Performance and Scalability?
How Does On-Demand Change Provisioning?
What About Mgmt Platforms & Frameworks?
17. Q: WHAT TYPES OF APPS?
Apps with Seasonal Traffic Patterns
One-off Needs
Short-term Requirements
Augmenting Quickly
Dev & Test Environments
18. Q: BUILD FOR SCALABILITY?
Build Separate Databases for Read & Write
Check Freshness of Data - Replication Lag
Be Careful of Stale Data
Bake Read/Write Connections Into Application
19. Q: ON-DEMAND &
PROVISIONING
Larry Summers - “Preserving Optionality”
Spending Now Controled by Software
Costs for Storage, Network, Instances, Elastic IPs
21. CONCLUSION
Do You Have Existing Investments in Physical Servers?
Hybrid Approach With Slow Cautious Adoption
Does Your App Exhibit Seasonal Traffic Patterns?
The Cloud is Uniquely Suited To Your Needs
Are You Paying a Lot for DR Systems Currently?
A Fully Scripted EC2 Deployment Could Save Big
22. ABOUT - SEAN HULL
20 Years Professional Technology Experience
Linux, MySQL, Web Operations & Scalability
EC2, Rackspace Cloud & Rightscale Expertise
hullsean @ GMAIL.com
www.iheavy.com/blog/
www.twitter.com/@hullsean