This is the firs presentation I created for training IBM EBIS community on cloud computing and apporach to cloud sales and projects. All the materials come from IBM internal documentation and precedent classes slide.
Cloud computing provides on-demand access to shared computing resources and infrastructure over the Internet. It refers to services delivered on-demand via the Internet from large pools of systems that are linked together. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing architecture consists of a front end accessed by users and a back end of servers and storage that create the "cloud" of computing services.
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.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
This document discusses cloud computing. It begins with an introduction and overview of essential cloud characteristics, service models, deployment models, architecture, and underlying components. It then discusses key research challenges in cloud computing. The document provides definitions of cloud computing and outlines the advantages of the cloud model compared to traditional internal IT or managed service models. It also diagrams the different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
The document discusses cloud computing infrastructure models and service models. It describes public, private, and hybrid cloud infrastructure models and how they differ in terms of deployment location and control. It also outlines the three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). SaaS delivers applications over the internet, PaaS provides computing platforms, and IaaS offers virtualized computing infrastructure.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
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.
Vertex AI brings all of the components of a production machine learning project into one platform in the cloud, based on Google's Kubeflow. It executes ML jobs through pipelines, a set of connected Docker images that perform different functions in the process of training and executing a machine learning model. In this session you will learn how to develop and deploy components of pipelines.
Cloud computing provides on-demand access to shared computing resources and infrastructure over the Internet. It refers to services delivered on-demand via the Internet from large pools of systems that are linked together. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing architecture consists of a front end accessed by users and a back end of servers and storage that create the "cloud" of computing services.
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.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
This document discusses cloud computing. It begins with an introduction and overview of essential cloud characteristics, service models, deployment models, architecture, and underlying components. It then discusses key research challenges in cloud computing. The document provides definitions of cloud computing and outlines the advantages of the cloud model compared to traditional internal IT or managed service models. It also diagrams the different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
The document discusses cloud computing infrastructure models and service models. It describes public, private, and hybrid cloud infrastructure models and how they differ in terms of deployment location and control. It also outlines the three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). SaaS delivers applications over the internet, PaaS provides computing platforms, and IaaS offers virtualized computing infrastructure.
Cloud computing provides dynamically scalable resources as a service over the Internet. It addresses problems with traditional infrastructure like hard-to-scale systems that are costly and complex to manage. Cloud platforms like Google Cloud Platform provide computing services like Compute Engine VMs and App Engine PaaS, as well as storage, networking, databases and other services to build scalable applications without managing physical hardware. These services automatically scale as needed, reducing infrastructure costs and management complexity.
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.
Vertex AI brings all of the components of a production machine learning project into one platform in the cloud, based on Google's Kubeflow. It executes ML jobs through pipelines, a set of connected Docker images that perform different functions in the process of training and executing a machine learning model. In this session you will learn how to develop and deploy components of pipelines.
This document defines cloud computing and outlines its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. Users can access these resources from anywhere without needing to manage the physical infrastructure. The cloud offers advantages like flexibility, scalability, device independence and reduced costs compared to maintaining physical servers. However, security, vendor lock-in and reliance on a stable internet connection are challenges to cloud computing adoption.
This document discusses virtualization, containers, and hyperconvergence. It provides an overview of virtualization and its benefits including hardware abstraction and multi-tenancy. However, virtualization also has challenges like significant overhead and repetitive configuration tasks. Containers provide similar benefits with less overhead by abstracting at the operating system level. The document then discusses how hyperconvergence combines compute, storage, and networking to simplify deployment and operations. It notes that many hyperconverged solutions still face virtualization challenges. The presentation argues that combining containers and hyperconvergence can provide both the benefits of containers' efficiency and hyperconvergence's scale. Stratoscale is presented as a solution that provides containers as a service with multi-tenancy, SLA-driven performance
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.
This document outlines an online course for introduction to cloud computing with Amazon Web Services (AWS). The course objectives are to understand cloud concepts like service models, deployment models and typical use cases. It will provide an overview of AWS services for computing, storage, databases, security and other functions. Students will learn through live online classes, recordings, projects and get a verifiable certificate upon completion. The course aims to equip participants with skills relevant for the growing cloud computing industry.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Commercial clouds provide infrastructure, platforms and software as services allowing users to access technology resources without owning them.
This document provides an introduction to cloud computing, including definitions and types of cloud services. It discusses cloud computing in education and Malaysia. Cloud computing refers to software and hardware managed remotely by third parties and accessed over the internet. There are three main types of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Common cloud computing examples include Dropbox, Microsoft SkyDrive, Google Drive, and Apple iCloud. The document also discusses how cloud computing can benefit education through e-learning and how initiatives in Malaysia like the Shared Cloud Enterprise Services project aim to accelerate cloud adoption.
This document discusses cloud computing. It defines cloud computing as a model that provides on-demand access to shared configurable computing resources over the internet. These resources include networks, servers, storage, applications and services. The document outlines the basic structure of cloud computing and describes its essential characteristics like on-demand self-service, broad network access, resource pooling and measured service. It also discusses the different cloud service models like SaaS, PaaS, IaaS and deployment models like private cloud, public cloud, hybrid cloud and community cloud. Finally, it lists some key advantages of cloud computing such as lower costs, improved performance, unlimited storage and universal access to information.
This presentation lecture was delivered in HITEC University, Pakistan. This is my view of the cloud and next generation computing infrastructure supported by the cloud infrastructure.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
The document discusses cloud computing and provides definitions and characteristics. It describes cloud computing as a technology that delivers on-demand IT resources over the internet on a pay-per-use basis. The key characteristics of cloud computing include scalability, reliability, security, flexibility, and serviceability. There are three main types of clouds based on deployment - public, private, and hybrid clouds. The document also outlines the three main service models of cloud computing - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing refers to using internet-based computing resources that are dynamically scalable and often virtualized. Amazon Web Services (AWS) provides cloud computing services including compute power (EC2), storage (S3), content delivery (CloudFront), databases (SimpleDB), messaging (SQS), and other tools. GigaVox implemented S3, EC2 and SQS in 2006, creating a scalable infrastructure for less than $100 that would have cost thousands to build themselves.
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.
The document discusses the challenges of transitioning to a multi-cloud environment and proposes solutions across six architecture domains: 1) provisioning infrastructure as code while enforcing policies, 2) implementing a zero-trust security model with secrets management and encryption, 3) using a service registry and service mesh for networking, 4) delivering both modern and legacy applications via flexible orchestration, 5) addressing issues of databases across cloud platforms, and 6) establishing multi-cloud governance and policy management. The goal is to simplify management of resources distributed across multiple cloud providers while maintaining visibility, consistency, and cost optimization.
Cloud computing allows companies to access computing resources like virtual machines, storage, and applications over the internet rather than maintaining their own infrastructure. It has several types including public, private, and hybrid clouds that provide services through software, platforms, and infrastructure as a service models. Cloud computing provides important benefits like reduced costs, increased storage, flexibility, availability during disasters, and lower environmental impact. However, it also presents disadvantages regarding data security, recovery, and compliance with regulations.
Cloud computing allows users to access software and store data on remote servers over the internet rather than locally on their own computers. It provides various services including infrastructure, platforms, and applications. Major cloud providers include Amazon Web Services which offers services like Amazon EC2 for scalable computing capacity in the cloud. Cloud computing provides advantages like reduced costs and time to access resources compared to maintaining one's own datacenter, but also risks around security and control over the infrastructure.
Serverless computing - Build and run applications without thinking about serversAmazon Web Services
The document discusses serverless deployment patterns and tools for AWS Lambda functions. It describes common deployment patterns like blue/green, canary, and linear deployments. It then covers the AWS Serverless Application Model (SAM) which allows defining serverless applications using CloudFormation. The SAM CLI allows testing serverless applications locally. Lambda aliases and traffic shifting allow shifting traffic between Lambda function versions for deployments. Global variables and deployment preferences in SAM allow configuring safe linear deployments with validation hooks and alarms.
Amazon Web Services (AWS) is a comprehensive cloud computing platform that provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). AWS offers global compute, storage, database, analytics, application, and deployment services to help organizations increase agility and lower costs. Key advantages of AWS include cost efficiency, reliability with 24/7 access and redundancy, unlimited storage, easy backup and recovery, and easy access to information from anywhere via the internet. AWS training in Bangalore teaches skills like using EC2, S3, load balancers, and VPC to deploy and manage applications in the cloud. With Bangalore's large IT industry and growing demand for AWS
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
IBM Connect: Enabling Culture Change to Transform into a Social BusinessMeredith B. Singer
Traditional business hierarchy is not primed for social business. And social tools alone do not make a social business. People working in the open make a social business. At IBM, we’ve learned that transforming into a social business doesn't just happen because social tools are available. By blending traditional and emerging organizational change management techniques, IBM has created a unique point of view on enabling the required behavior and culture change. This presentation highlights the innovative approaches IBM uses to enable all employees to adopt new ways of working. It also provides tips for building executive commitment to your organization’s social business transformation.
This document discusses five methods for migrating workloads to the cloud: 1) Manual data migration, 2) Offline media transfer, 3) Internet transfer of virtual disk images, 4) Software agent-based data replication, and 5) Full server failover using software agents. It provides advantages and considerations for each method, and explains how to implement the fourth and fifth methods which use software agents to replicate data over time without impacting production systems.
This document defines cloud computing and outlines its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. Users can access these resources from anywhere without needing to manage the physical infrastructure. The cloud offers advantages like flexibility, scalability, device independence and reduced costs compared to maintaining physical servers. However, security, vendor lock-in and reliance on a stable internet connection are challenges to cloud computing adoption.
This document discusses virtualization, containers, and hyperconvergence. It provides an overview of virtualization and its benefits including hardware abstraction and multi-tenancy. However, virtualization also has challenges like significant overhead and repetitive configuration tasks. Containers provide similar benefits with less overhead by abstracting at the operating system level. The document then discusses how hyperconvergence combines compute, storage, and networking to simplify deployment and operations. It notes that many hyperconverged solutions still face virtualization challenges. The presentation argues that combining containers and hyperconvergence can provide both the benefits of containers' efficiency and hyperconvergence's scale. Stratoscale is presented as a solution that provides containers as a service with multi-tenancy, SLA-driven performance
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.
This document outlines an online course for introduction to cloud computing with Amazon Web Services (AWS). The course objectives are to understand cloud concepts like service models, deployment models and typical use cases. It will provide an overview of AWS services for computing, storage, databases, security and other functions. Students will learn through live online classes, recordings, projects and get a verifiable certificate upon completion. The course aims to equip participants with skills relevant for the growing cloud computing industry.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Commercial clouds provide infrastructure, platforms and software as services allowing users to access technology resources without owning them.
This document provides an introduction to cloud computing, including definitions and types of cloud services. It discusses cloud computing in education and Malaysia. Cloud computing refers to software and hardware managed remotely by third parties and accessed over the internet. There are three main types of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Common cloud computing examples include Dropbox, Microsoft SkyDrive, Google Drive, and Apple iCloud. The document also discusses how cloud computing can benefit education through e-learning and how initiatives in Malaysia like the Shared Cloud Enterprise Services project aim to accelerate cloud adoption.
This document discusses cloud computing. It defines cloud computing as a model that provides on-demand access to shared configurable computing resources over the internet. These resources include networks, servers, storage, applications and services. The document outlines the basic structure of cloud computing and describes its essential characteristics like on-demand self-service, broad network access, resource pooling and measured service. It also discusses the different cloud service models like SaaS, PaaS, IaaS and deployment models like private cloud, public cloud, hybrid cloud and community cloud. Finally, it lists some key advantages of cloud computing such as lower costs, improved performance, unlimited storage and universal access to information.
This presentation lecture was delivered in HITEC University, Pakistan. This is my view of the cloud and next generation computing infrastructure supported by the cloud infrastructure.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
The document discusses cloud computing and provides definitions and characteristics. It describes cloud computing as a technology that delivers on-demand IT resources over the internet on a pay-per-use basis. The key characteristics of cloud computing include scalability, reliability, security, flexibility, and serviceability. There are three main types of clouds based on deployment - public, private, and hybrid clouds. The document also outlines the three main service models of cloud computing - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing refers to using internet-based computing resources that are dynamically scalable and often virtualized. Amazon Web Services (AWS) provides cloud computing services including compute power (EC2), storage (S3), content delivery (CloudFront), databases (SimpleDB), messaging (SQS), and other tools. GigaVox implemented S3, EC2 and SQS in 2006, creating a scalable infrastructure for less than $100 that would have cost thousands to build themselves.
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.
The document discusses the challenges of transitioning to a multi-cloud environment and proposes solutions across six architecture domains: 1) provisioning infrastructure as code while enforcing policies, 2) implementing a zero-trust security model with secrets management and encryption, 3) using a service registry and service mesh for networking, 4) delivering both modern and legacy applications via flexible orchestration, 5) addressing issues of databases across cloud platforms, and 6) establishing multi-cloud governance and policy management. The goal is to simplify management of resources distributed across multiple cloud providers while maintaining visibility, consistency, and cost optimization.
Cloud computing allows companies to access computing resources like virtual machines, storage, and applications over the internet rather than maintaining their own infrastructure. It has several types including public, private, and hybrid clouds that provide services through software, platforms, and infrastructure as a service models. Cloud computing provides important benefits like reduced costs, increased storage, flexibility, availability during disasters, and lower environmental impact. However, it also presents disadvantages regarding data security, recovery, and compliance with regulations.
Cloud computing allows users to access software and store data on remote servers over the internet rather than locally on their own computers. It provides various services including infrastructure, platforms, and applications. Major cloud providers include Amazon Web Services which offers services like Amazon EC2 for scalable computing capacity in the cloud. Cloud computing provides advantages like reduced costs and time to access resources compared to maintaining one's own datacenter, but also risks around security and control over the infrastructure.
Serverless computing - Build and run applications without thinking about serversAmazon Web Services
The document discusses serverless deployment patterns and tools for AWS Lambda functions. It describes common deployment patterns like blue/green, canary, and linear deployments. It then covers the AWS Serverless Application Model (SAM) which allows defining serverless applications using CloudFormation. The SAM CLI allows testing serverless applications locally. Lambda aliases and traffic shifting allow shifting traffic between Lambda function versions for deployments. Global variables and deployment preferences in SAM allow configuring safe linear deployments with validation hooks and alarms.
Amazon Web Services (AWS) is a comprehensive cloud computing platform that provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). AWS offers global compute, storage, database, analytics, application, and deployment services to help organizations increase agility and lower costs. Key advantages of AWS include cost efficiency, reliability with 24/7 access and redundancy, unlimited storage, easy backup and recovery, and easy access to information from anywhere via the internet. AWS training in Bangalore teaches skills like using EC2, S3, load balancers, and VPC to deploy and manage applications in the cloud. With Bangalore's large IT industry and growing demand for AWS
This document provides information on serverless computing platforms from Azure, AWS, and Google. It outlines the supported programming languages and runtimes for each platform's functions as well as common event sources that can trigger function execution, such as S3 buckets, queues, and HTTP requests. It also lists serverless database options and notes that serverless computing allows for automatic scaling of resources and reduced management overhead compared to traditional reserved servers.
IBM Connect: Enabling Culture Change to Transform into a Social BusinessMeredith B. Singer
Traditional business hierarchy is not primed for social business. And social tools alone do not make a social business. People working in the open make a social business. At IBM, we’ve learned that transforming into a social business doesn't just happen because social tools are available. By blending traditional and emerging organizational change management techniques, IBM has created a unique point of view on enabling the required behavior and culture change. This presentation highlights the innovative approaches IBM uses to enable all employees to adopt new ways of working. It also provides tips for building executive commitment to your organization’s social business transformation.
This document discusses five methods for migrating workloads to the cloud: 1) Manual data migration, 2) Offline media transfer, 3) Internet transfer of virtual disk images, 4) Software agent-based data replication, and 5) Full server failover using software agents. It provides advantages and considerations for each method, and explains how to implement the fourth and fifth methods which use software agents to replicate data over time without impacting production systems.
The document summarizes the key highlights from the CloudAsia 2013 conference, including:
- Strong government support for cloud computing adoption in countries like Korea and Singapore to help close the IT gap with western nations.
- Case studies on cloud adoption from companies like SATS (Singapore Airport) and Diners World Travel that showed incremental migrations of workloads to the cloud.
- Discussions around technologies and frameworks related to cloud security, identity management, and using complex analytics tools like Hadoop and array databases.
Cloud Computing – Opportunities, Definitions, Options, and Risks (Part-1)Manoj Kumar
Understand about current cloud market, cloud service providers - Azure or Amazon, cloud fundamentals, VM Virtualization, Cloud deployment models, IaaS vs PaaS vs SaaS, Cloud Security and Risks.
The document discusses different cloud architectures and lessons learned from 100 CloudStack deployments. It outlines a process for defining a cloud architecture, describing the basic building blocks of a computing cloud. The document differentiates between traditional and cloud workloads, noting that workload reliability requirements drive unique architectural needs. It provides examples of architectures for traditional server virtualization and Amazon-style availability zones.
Cloud Expo Santa Clara Nov 2010 General Session: Roadmap to Enterprise Cloud ...Rex Wang
The document outlines the evolution from traditional data centers to cloud computing. It discusses how organizations have moved from siloed and dedicated infrastructure to consolidated, virtualized, and standardized private clouds for increased efficiency. Both private and public clouds are examined, with enterprises adopting a mix of both. Oracle provides offerings for private and public cloud infrastructure and platforms, including engineered systems like Exadata and Exalogic for extreme performance. The key is providing customers choice in their journey to the cloud.
Future Stack NY - Monitoring the Dynamic Nature of the CloudLee Atchison
1) The document discusses how Docker and cloud computing allow applications to be more dynamic and take advantage of ephemeral resources.
2) It notes that in the cloud, resources can be provisioned and deprovisioned quickly, unlike traditional data centers, allowing applications to scale up and down easily.
3) Monitoring dynamic cloud environments poses unique challenges because infrastructure components like containers may have extremely short lifecycles, appearing and disappearing rapidly, requiring monitoring tools that can track ephemeral resources and their lifecycles.
This document discusses strategies for cloud adoption. It outlines typical progressions that companies follow when adopting the cloud, from experimenting with non-critical services to fully mandating cloud usage. It also discusses parallel progressions that application teams follow, from using peripheral cloud services to building applications committed to unique cloud capabilities. The document emphasizes that different companies and applications will progress at different speeds and have different needs. It provides strategies for successful cloud adoption, including understanding one's culture and needs, monitoring adoption, and driving cultural change. It also discusses how AWS CloudWatch and New Relic can work together to provide monitoring of infrastructure and applications in the cloud.
IDC Directions 2014 in Nordics - IT Service challenges and new sourcing modelsJohan Hallberg
At IDC Directions 2014 in Stockholm and Copenhagen I gave a presentation regarding the future in IT Service challenges and new sourcing models. Aimed mainly towards Services vendors in the Nordics.
Organizations need a plan for moving from their current state toward cloud models based on standardized and consolidated platforms, shared services, self-service and metered use. How can organizations get started on the evolution to cloud computing? This webcast explores how enterprises can create a roadmap to cloud computing, including developing the business case; financial models; governance considerations; security considerations; organizational, policy and process considerations; and technical architecture considerations.
Multi-Cloud Roadmap: Architecting Hybrid Environments for Maximum ResultsRightScale
RightScale User Conference NYC 2011 -
Multi-Cloud Roadmap: Architecting Hybrid Environments for Maximum Results
Peder Ulander - CMO, Cloud.com
Many companies move to the cloud before they fully understand the complexities of a solid implementation strategy. Public and private clouds each have their benefits and limitations, and it's imperative to develop a clear roadmap for success that incorporates a best-practices reference architecture. In this session, we'll share how to architect a hybrid cloud environment as part of your overall cloud strategy, how to achieve multi-cloud interoperability, and how to proactively plan to survive cloud infrastructure outages.
In this presentation from the AWS Lab at Cloud Expo Europe 2014 you will find details of the six patterns that Enterprise organisations typically to follow when adopting Amazon Web Services as well as a summary of the licensing options available for running enterprise applications on Amazon Web Services.
This document discusses web clustering engines, which group search results from a query into meaningful categories to help users better understand the topic. Conventional search engines return a flat list of results, which can include irrelevant items for ambiguous queries. Web clustering engines address this by applying clustering algorithms to search results to dynamically generate labeled categories. They acquire results from other search engines, preprocess the text, extract features, cluster the results using algorithms like agglomerative hierarchical clustering, and visualize the clusters in a hierarchical folder view or graph. This improves search by providing shortcuts to related results and allowing systematic exploration of topics.
Roadmap to the Clouds - How to Easily Migrate to the Cloud Platform Using WSO...WSO2
The document provides an overview of WSO2 Stratos, a cloud platform that allows easy migration of applications to the cloud. It discusses cloud computing models and properties of cloud native applications. Stratos is presented as a PaaS that provides shared middleware services, proper tenant isolation, and tools to help move applications to the cloud while supporting industry standards. Key features highlighted include seamless migration from WSO2 Carbon, a polyglot data solution, and developer studio support.
As enterprise adoption of cloud computing accelerates, driven by compelling advantages of higher efficiency and lower costs, rapid deployment and elastic scalability, organizations must have a strategy and plan for moving to the cloud. How can organizations get started on the evolution to cloud computing? This presentation explores how enterprise IT can move toward a cloud computing model, building on a foundation of virtualization, engineered systems and management automation.
Introduction to Enterprise Architecture and TOGAF 9.1iasaglobal
Santos Pardos nos dará una visión general a TOGAF. Durante 2 horas, Santos nos introducirá al mundo de The Open Group Architecture Framework (TOGAF), ese marco de trabajo de Arquitectura Empresarial que muchos escuchamos hablar. Nos contará el enfoque propuesto para el diseño, planificación, implementación y gobierno de una arquitectura empresarial de información. También repasará, a alto nivel, cuatro niveles o dimensiones: Arquitectura de Negocios Arquitectura de Aplicaciones Arquitectura Tecnológica Arquitectura de Dat
• 3. The 3 Models of SaaS Pricing1How to Pick the Best Price28 Pricing Hacks3How to Test New Pricing4We’ll cover...
• 4. Model 1: Targeting Small Businesses1
• 5. Self-service, no sales team, limited support
• 6. Pricing in the $10 - $100/month rangeThis mean you need to focus onscale and acquiring customerscheaply.
• 7. Similar companies
• 8. Model 2: Targeting Enterprise2
• 9. Sales team, contracts, full support
• 10. Pricing is $1,000s or $10,000s/monthVery little is automated, your teamwill be working very closely witheach customer.
• 11. Similar companies
• 12. Model 3: The Mid-Size Hybrid3
• 13. Automated marketing with a sales team
• 14. Pricing is $100’s/monthYou’ll need to scale your leads butyou’ll have a full sales team toclose them.
• 15. Similar companies
• 16. Pick the right price range for your vision
• 17. 2 Bad Methods for Pricing
• 18. 1. Product cost + X%You’ll undercharge somecustomers and overcharge others.
• 19. 2. What does the customer want to pay?People have no idea until you askthem for their credit card.
• 20. Pricing by Value
• 21. Value-Based PricingYour customers get value worth $Yand it only costs them $X.
• 22. For B2B, focus on money earned or saved
• 23. How much extra revenue do they earn?1How many hours do they save?2What other costs do they avoid?3Ask your customers:
• 24. Capture more value from each customer.
• 25. There’s no such thing as a perfect price.If you need more guidance, pick aprice that’s 10% of the valuedelivered.
• 26. 8 Pricing Hacks8
• 27. Rule 1: Go AnnualYou’ll improve cash flow, reduceyour churn, and improve yourrevenue.
• 28. Rule 2: Don’t Add Unnecessary Digits$1000 looks cheaper than $1,000or $1000.00
• 29. Rule 3: Avoid Discounts Unless LaunchingDiscounts create destructivecustomer habits. Do not use themregularly.
• 30. Rule 4: Offer Multiple Prices to Anchor
• 31. Rule 5: Use pricing plans to segment customers.Different customer types getdifferent value from your product.Capture that value.
• 32. Rule 6: Double Your PriceWe all tend to UNDERvalue our ownservices.
• 33. Rule 7: Be Careful With Freemium PlansVery difficult to make it work in B2Bmarkets.
• 34. Rule 8: Grandfather Old Customers InAs long as you don’t raise pricesfor old customers, you won’t getany complaints.
• 35. These are rules, not laws.
• 36. How to Test New Pricing - 4 Steps
• 37. Step 1: Track subscription plans for all customersSubscription plans1Each monthly charge2Any cancelations3Access to total revenue, averagerevenue per user, and churn4
• 38. Step 2: Launch Your New Pricing Page
• 39. Step 3: Track your entire funnel
• 40. Step 4: Track ARPU and churn
• 41. KISSmetrics helps you find the right priceConnects all data to individual people1A/B tests for your entire funnel2See which plans are most profitable
Developing the pricing model for your B2B SaaS app is one of the biggest marketing challenges your company will face.
This is a guide to developing your SaaS pricing model was created by noted SaaS Marketing expert and Growth Hacker Lincoln Murphy of Sixteen Ventures.
This guide takes you through the questions you need to ask about not just your market and customers, but about your company and goals, to help you figure out your SaaS pricing model.
Whether you have a self-service sales model or one that requires outside sales reps to drive business, the tips and techniques contained in this guide and the source blog post will help you create a profitable and successful SaaS pricing model.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
The document provides an overview of cloud computing including:
1) A definition of cloud computing as a model for enabling on-demand access to configurable computing resources over the internet.
2) A brief history noting that the concept dates back to the 1960s but has grown rapidly in popularity.
3) Descriptions of the key types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) along with examples of major providers such as Amazon, Google, and Microsoft.
The document provides an overview of cloud computing, including:
- Definitions of cloud computing and its key characteristics like on-demand access and resource pooling.
- The history and evolution of cloud computing from the 1960s to present day.
- The three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Benefits of cloud computing like cost reduction, flexibility, and collaboration.
- Potential limitations around reliability and control.
- Examples of how big data and cloud computing are used in areas like customer analytics, healthcare, and financial trading.
A revolution in information technology cloud computing.Minor33
This document discusses cloud computing and its key aspects. It begins by defining cloud computing as a collection of interconnected networks represented as a cloud in diagrams. The cloud allows users to access applications and store data remotely through an internet connection. There are three main types of cloud models - public, private, and hybrid clouds which combine public and private. The cloud provides major advantages like reduced costs, flexibility, and scalability. It discusses the various cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document outlines the key characteristics of clouds such as elasticity, self-service provisioning, application programming interfaces, and billing/metering
Private Cloud With System Center ProjectAbhijit Kundu
The document provides an overview of creating a private cloud using Microsoft System Center 2012, including an introduction to private clouds and their benefits, an overview of the key System Center 2012 components used to create and manage a private cloud, and prerequisites for installing a private cloud such as required virtual machines, software, and physical server configurations.
Cloud computing basically involves delivering hosted services over the Internet to store, manage, and process data, instead of using local server or a personal computer. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). In scientific terms, cloud computing is a synonym for distributed computing over a network which means the ability to run a program on many connected computers at the same time. Therefore it involves a large number of computers that are connected through a real-time communication network.
The document provides an overview of cloud computing concepts including definitions, characteristics, deployment and service models. It defines cloud computing as providing on-demand access to computing resources and applications over the internet. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common deployment models are public, private and hybrid clouds. The main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
The document discusses cloud computing, including definitions, key characteristics, components, roles, and implementations. It defines cloud computing as using web-based tools and storing information on remote servers operated by another company. Key characteristics include scalability, multi-tenancy, pay-per-use pricing, and device/location independence. The main components are infrastructure, storage, platforms, applications, services, and clients. Implementations discussed include the Virtual Computing Laboratory and Amazon EC2.
This document provides an overview of cloud computing, including:
- Cloud computing uses central remote servers and the internet to maintain data and applications, allowing users to access files and applications from any device.
- The main advantages of cloud computing are more efficient computing through centralized resources, lower costs, flexibility, and scalability.
- The types of cloud include public, private, and hybrid clouds, with the main difference being who can access the services.
- Cloud computing delivers applications, platforms, and infrastructure as on-demand services through software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) models.
- The author
Cloud computing delivers computing services as utilities over the internet, similar to how electricity or water are provided. There are different types of cloud deployment models including public, private, hybrid, and community clouds. Additionally, there are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS provides development platforms, and SaaS provides complete software solutions delivered over the internet. Cloud computing offers benefits like on-demand provisioning, elastic scaling, pay-per-use billing, workload resilience, and migration flexibility.
The document provides an overview of cloud computing, including definitions of cloud, cloud characteristics, common cloud features, deployment models, service models, and examples of major cloud vendors like Amazon Web Services. It discusses how cloud computing provides on-demand access to shared computing resources over the internet and the business benefits of reduced costs and increased flexibility. However, some concerns include data security, latency issues for real-time applications, and lack of control over proprietary systems.
This document provides an overview of cloud computing, including definitions of cloud computing, its history and characteristics. It discusses the types of cloud deployment models (public, private, hybrid etc.), types of cloud services (IaaS, PaaS, SaaS), common cloud applications, advantages and disadvantages. The document aims to explain what cloud computing is, how it works, why it is useful and some considerations around using cloud services.
This document provides an overview of cloud computing, including its key characteristics, architecture, deployment models, and concepts. Cloud computing allows users to access computing resources like servers, storage, databases, networking, software and more over the internet. It delivers these resources as a service and users only pay for what they use. The architecture involves multiple cloud components communicating over APIs, with layers for clients, applications, platforms and infrastructure. Deployment models include public, private, hybrid and community clouds.
Ahmad Shah Sultani presented on cloud computing using the Apache CloudStack open source platform. He discussed the history and characteristics of cloud computing, different service models (SaaS, PaaS, IaaS), and types of cloud storage. He also explained concepts like virtualization and the benefits of using open source software to build clouds. Sultani demonstrated how to deploy CloudStack on virtualized servers to create a private cloud and manage virtual machines through its web-based user interface.
Cloud computing refers to applications and services that are accessed via the internet through a web browser rather than being installed on a physical device. It involves delivering computing resources such as databases, software, storage, and applications over the internet. There are three main service models for cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and networking capabilities, PaaS provides platforms for building apps, and SaaS provides ready-to-use software to customers. Cloud computing offers benefits like reduced costs, increased scalability and flexibility, and rapid deployment of applications.
This document provides an introduction to cloud computing. It discusses why cloud computing is important, defines cloud computing as the delivery of computing services over the internet, and outlines the history and evolution of cloud computing. It then describes the key characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also covers the different cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid, community clouds), and concepts like client/server and virtual machines.
Abstract--The paper identifies the issues and the solution to overcome these problems. Cloud computing is a subscription based service where we can obtain networked storage space and computer resources. This technology has the capacity to admittance a common collection of resources on request. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. But having many advantages for IT organizations cloud has some issues that must be consider during its deployment. The main concern is security privacy and trust. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario [4].
Keywords--Cloud, Issues, Security, Privacy, Resources, Technology.
Cloud computing involves delivering computing services over the internet instead of on local hard drives. It has its origins in the 1950s with mainframe computing and evolved with virtual machines in the 1970s and VPN services in the 1990s. There are different types of cloud including public, private, and hybrid clouds. Cloud services provide software, platforms, and infrastructure as a service and offer benefits like scalability, reliability, and reduced costs but also have disadvantages like potential bandwidth issues and performance impacts.
Cloud computing provides access to applications over the Internet as utilities. It allows users to create, configure, and customize applications online without installing them. The cloud refers to the Internet or network and provides services like email, web conferencing, and CRM through public or private networks. Cloud computing offers online data storage, infrastructure, and applications without platform dependency by accessing everything through a web browser.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program