Introduction of Cloud Computing & Historical Background
Cloud Service Models & Cloud Deployment Models
Benefits of Cloud Computing
Risks and Challenges
Future Trends in Cloud Computing
Edge Computing, Serverless Computing, AI & Machine Learning in Cloud, Security and
Compliance
Needs and Obstacles for Cloud Deployment
Conclusion
4. Internet of Things - Reference Model and ArchitectureJitendra Tomar
Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model, Functional View, Information View, Deployment and Operational View, Real World Design Constraints- Introduction, Technical Design constraints, Data representation and visualization
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.
The document discusses the evolution of cloud computing from the internet and web to the current cloud model. It defines cloud computing as scalable services delivered over the internet on a pay-per-use basis. The cloud provides benefits like flexibility, reduced costs, and increased capabilities to various stakeholders including businesses, IT departments, and developers. The document also discusses options for cloud infrastructure delivery and highlights benefits of secure cloud computing.
A summary of the major events that brought about cloud computing, starting in the 1950s. You can find this information and much more in Oneserve's 'Ultimate Guide to the Cloud'.
The document discusses fundamentals of IoT security. It defines IoT as the interconnection of physical devices to the internet to share and exchange data. IoT security protects connected devices from cyberattacks by securing the network functionality and data privacy. The need for IoT security increased after hacking attacks showed catastrophic consequences. The document outlines eight principles of IoT security including no universal passwords, secured interfaces, proven cryptography, security by default, signed software updates, and a vulnerability reporting scheme.
Cloud Computing, Introduction to Cloud computing, Basic concept of cloud computing, Benefits of cloud computing, Disadvantages of cloud computing, Deployment Models, Service Models, Platforms for Cloud Computing, Conclusion
4. Internet of Things - Reference Model and ArchitectureJitendra Tomar
Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model, Functional View, Information View, Deployment and Operational View, Real World Design Constraints- Introduction, Technical Design constraints, Data representation and visualization
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.
The document discusses the evolution of cloud computing from the internet and web to the current cloud model. It defines cloud computing as scalable services delivered over the internet on a pay-per-use basis. The cloud provides benefits like flexibility, reduced costs, and increased capabilities to various stakeholders including businesses, IT departments, and developers. The document also discusses options for cloud infrastructure delivery and highlights benefits of secure cloud computing.
A summary of the major events that brought about cloud computing, starting in the 1950s. You can find this information and much more in Oneserve's 'Ultimate Guide to the Cloud'.
The document discusses fundamentals of IoT security. It defines IoT as the interconnection of physical devices to the internet to share and exchange data. IoT security protects connected devices from cyberattacks by securing the network functionality and data privacy. The need for IoT security increased after hacking attacks showed catastrophic consequences. The document outlines eight principles of IoT security including no universal passwords, secured interfaces, proven cryptography, security by default, signed software updates, and a vulnerability reporting scheme.
Cloud Computing, Introduction to Cloud computing, Basic concept of cloud computing, Benefits of cloud computing, Disadvantages of cloud computing, Deployment Models, Service Models, Platforms for Cloud Computing, Conclusion
Network security is important to protect vital information while allowing authorized access. Key aspects of network security include identifying vulnerabilities, threats like hackers and methods of attack, and implementing appropriate countermeasures. Common attacks include password attacks, viruses, and packet sniffing. Effective countermeasures include firewalls to control access, intrusion detection systems to monitor for exploits, IPsec and encryption to secure communications, and user education to address social engineering vulnerabilities. Comprehensive security requires backups, encryption, virus protection, firewalls, monitoring, training, and testing defenses.
Slide on Cloud Security. This defines the possible aspects on Cloud Security. Images are taken from different Websites which are mentioned on references section.
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 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.
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.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared configurable computing resources over a network. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). There are also four deployment models - private cloud, public cloud, community cloud, and hybrid cloud. Cloud computing has the potential to greatly impact the world by providing benefits to users and businesses.
This is a small and simple Presentation on the topic Mobile Cloud Computing Made for a Symposium. The content inside the slides are taken from Google and various research papers, this slide is purely for educational purpose and not meant for commercial publication.
The document discusses cloud security from the perspective of Wen-Pai Lu, a technical leader at Cisco. It defines cloud security as security products and solutions deployed within cloud computing environments ("in the cloud") or targeted at securing other cloud services ("for the cloud"). It also discusses security services delivered by cloud computing services ("by the cloud"). The document outlines many considerations for cloud security, including infrastructure security, applications and software, physical security, human risks, compliance, disaster recovery, threats, and perspectives from both enterprises and service providers.
Big data analytics tools from vendors like IBM, Tableau, and SAS can help organizations process and analyze big data. For smaller organizations, Excel is often used, while larger organizations employ data mining, predictive analytics, and dashboards. Business intelligence applications include OLAP, data mining, and decision support systems. Big data comes from many sources like web logs, sensors, social networks, and scientific research. It is defined by the volume, variety, velocity, veracity, variability, and value of the data. Hadoop and MapReduce are common technologies for storing and analyzing big data across clusters of machines. Stream analytics is useful for real-time analysis of data like sensor data.
In shared infrastructures such as clouds, sensitive or regulated data—including run-time and archived data—must be properly segregated from unauthorized users. Database and system administrators may have access to multiple clients’ data, and the location of stored data in a cloud may change rapidly. Compliance requirements such as Payment Card Industry Data Security Standard (PCI-DSS), Health Insurance Portability and Accountability Act (HIPAA) and others may need to be met. This webinar will discuss how to help protect cloud-based customer information and intellectual property from both external and internal threats.
View the On-demand webinar: https://www2.gotomeeting.com/register/187735186
This presentation gives a detailed overview about Cloud Computing, its features and challenges faced by it in the market. It gives an insight into cloud security and privacy issues and its measures.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
This document provides an overview of cloud computing. It defines cloud computing as manipulating, configuring, and accessing applications online through virtualization of network resources that are managed and maintained remotely. The key components of cloud infrastructure are servers, storage, networking hardware, management software, deployment platforms, and hypervisors that allow sharing of physical resources. There are various cloud deployment models including public, private, hybrid, and community clouds. In addition, the document outlines several cloud service models such as IaaS, PaaS, SaaS, and IDaaS. Technologies that enable cloud computing are also discussed, including virtualization, service-oriented architecture, grid computing, and utility computing.
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
This presentation is the introduction to the monthly CloudStack.org demonstration. The presentation details the latest features in the CloudStack open source project as well as project news. To attend a future presentation, with live demo and Q&A visit:
http://www.slideshare.net/cloudstack/introduction-to-cloudstack-12590733
The document discusses different cloud deployment models including private cloud, public cloud, and hybrid cloud. Private cloud is owned and operated solely by a single organization, public cloud is owned by third-party providers and accessible to the general public, and hybrid cloud combines both private and public clouds. Each deployment model offers different benefits related to cost, control, security, and flexibility that organizations can leverage to meet their unique needs.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers various online services through a network of remote servers. There are different types of cloud services and deployment models depending on who can access the cloud - public, private, hybrid or community. The main cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexible access to data and lower costs, it also poses security and privacy risks if data is not properly protected on remote servers.
Network security is important to protect vital information while allowing authorized access. Key aspects of network security include identifying vulnerabilities, threats like hackers and methods of attack, and implementing appropriate countermeasures. Common attacks include password attacks, viruses, and packet sniffing. Effective countermeasures include firewalls to control access, intrusion detection systems to monitor for exploits, IPsec and encryption to secure communications, and user education to address social engineering vulnerabilities. Comprehensive security requires backups, encryption, virus protection, firewalls, monitoring, training, and testing defenses.
Slide on Cloud Security. This defines the possible aspects on Cloud Security. Images are taken from different Websites which are mentioned on references section.
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 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.
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.
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared configurable computing resources over a network. It has five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). There are also four deployment models - private cloud, public cloud, community cloud, and hybrid cloud. Cloud computing has the potential to greatly impact the world by providing benefits to users and businesses.
This is a small and simple Presentation on the topic Mobile Cloud Computing Made for a Symposium. The content inside the slides are taken from Google and various research papers, this slide is purely for educational purpose and not meant for commercial publication.
The document discusses cloud security from the perspective of Wen-Pai Lu, a technical leader at Cisco. It defines cloud security as security products and solutions deployed within cloud computing environments ("in the cloud") or targeted at securing other cloud services ("for the cloud"). It also discusses security services delivered by cloud computing services ("by the cloud"). The document outlines many considerations for cloud security, including infrastructure security, applications and software, physical security, human risks, compliance, disaster recovery, threats, and perspectives from both enterprises and service providers.
Big data analytics tools from vendors like IBM, Tableau, and SAS can help organizations process and analyze big data. For smaller organizations, Excel is often used, while larger organizations employ data mining, predictive analytics, and dashboards. Business intelligence applications include OLAP, data mining, and decision support systems. Big data comes from many sources like web logs, sensors, social networks, and scientific research. It is defined by the volume, variety, velocity, veracity, variability, and value of the data. Hadoop and MapReduce are common technologies for storing and analyzing big data across clusters of machines. Stream analytics is useful for real-time analysis of data like sensor data.
In shared infrastructures such as clouds, sensitive or regulated data—including run-time and archived data—must be properly segregated from unauthorized users. Database and system administrators may have access to multiple clients’ data, and the location of stored data in a cloud may change rapidly. Compliance requirements such as Payment Card Industry Data Security Standard (PCI-DSS), Health Insurance Portability and Accountability Act (HIPAA) and others may need to be met. This webinar will discuss how to help protect cloud-based customer information and intellectual property from both external and internal threats.
View the On-demand webinar: https://www2.gotomeeting.com/register/187735186
This presentation gives a detailed overview about Cloud Computing, its features and challenges faced by it in the market. It gives an insight into cloud security and privacy issues and its measures.
This Presentation was prepared by Abdussamad Muntahi for the Seminar on High Performance Computing on 11/7/13 (Thursday) Organized by BRAC University Computer Club (BUCC) in collaboration with BRAC University Electronics and Electrical Club (BUEEC).
This document provides an overview of cloud computing. It defines cloud computing as manipulating, configuring, and accessing applications online through virtualization of network resources that are managed and maintained remotely. The key components of cloud infrastructure are servers, storage, networking hardware, management software, deployment platforms, and hypervisors that allow sharing of physical resources. There are various cloud deployment models including public, private, hybrid, and community clouds. In addition, the document outlines several cloud service models such as IaaS, PaaS, SaaS, and IDaaS. Technologies that enable cloud computing are also discussed, including virtualization, service-oriented architecture, grid computing, and utility computing.
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
This presentation is the introduction to the monthly CloudStack.org demonstration. The presentation details the latest features in the CloudStack open source project as well as project news. To attend a future presentation, with live demo and Q&A visit:
http://www.slideshare.net/cloudstack/introduction-to-cloudstack-12590733
The document discusses different cloud deployment models including private cloud, public cloud, and hybrid cloud. Private cloud is owned and operated solely by a single organization, public cloud is owned by third-party providers and accessible to the general public, and hybrid cloud combines both private and public clouds. Each deployment model offers different benefits related to cost, control, security, and flexibility that organizations can leverage to meet their unique needs.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers various online services through a network of remote servers. There are different types of cloud services and deployment models depending on who can access the cloud - public, private, hybrid or community. The main cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexible access to data and lower costs, it also poses security and privacy risks if data is not properly protected on remote servers.
Cloud computing refers to servers and databases accessed over the internet. It allows users and companies to access files, applications, and resources from any device without managing their own servers. Key benefits include lower costs, scalability, accessibility from anywhere, and easier updates/maintenance. However, cloud services also raise security, privacy, reliability, and vendor lock-in concerns that must be addressed.
Cloud computing refers to delivering computing services over the Internet. It allows users to access on-demand resources like storage, processing power, and software applications without maintaining physical infrastructure. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be deployed via public, private, hybrid, or community models. Common service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud computing refers to delivering computing resources and services over the Internet. It allows on-demand access to shared computing power, storage, databases, and applications without requiring local servers or hardware. Key benefits include scalability, accessibility, pay-as-you-go pricing, efficient resource utilization, and self-service capabilities. Common applications include SaaS, IaaS, PaaS, big data analytics, IoT, and disaster recovery. While cloud computing provides advantages, businesses must also address risks such as security, vendor lock-in, downtime, and regulatory compliance.
This Presentation is on a very popular technology related topic, Cloud Computing. It is in our basic daily technology need like gmail i.e. also based on Cloud Computing. And also it has also very good source of job in it. Hope it would be helpful for your School or College project.
Cloud computing allows for centralized data storage and online access to computer resources over the internet. It utilizes large networks of remote servers. There are three main models of cloud computing: public clouds which can be accessed by anyone; private clouds which are for internal use only; and hybrid clouds which combine private and public clouds. The main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud computing provides advantages such as flexibility, low costs, easy management of data, and automatic updates, but also poses disadvantages like dependency on providers and security risks.
1. Cloud computing involves delivering computing resources and services over the internet instead of relying on local servers or personal computers. It enables users to access applications and store/process data using remote servers.
2. There are three main types of cloud computing services: Infrastructure as a Service (IaaS) provides virtual computing resources; Platform as a Service (PaaS) offers platforms for developing applications; and Software as a Service (SaaS) delivers fully functional applications over the internet.
3. The main deployment models are public clouds which are owned by third parties and available publicly, private clouds which are dedicated to a single organization, and hybrid clouds which combine public and private clouds.
Cloud computing involves using the internet and remote servers run by third-party providers to access and store data and applications. It allows users to access software and data storage over the internet rather than locally. 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 provides benefits like lower costs, flexibility, and scalability but also risks around security, control and reliability if internet access is lost.
Cloud computing involves using the internet and remote servers run by third-party providers to access and store data and applications. It allows users to access software and data storage over the internet rather than locally. 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 provides benefits like lower costs, flexibility, and scalability but also risks around security, control and reliability if internet access is lost.
Introduction to Cloud Computing(UNIT 1).pptxSURBHI SAROHA
This document provides an introduction to cloud computing, including definitions, characteristics, service models, deployment models, and virtualization concepts. It defines cloud computing as storing and accessing data and programs on remote servers hosted on the internet. The main service models are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The primary deployment models are public cloud, private cloud, hybrid cloud, community cloud, and multi-cloud. Virtualization allows for the sharing of physical resources and is key to cloud computing.
The document discusses the cloud ecosystem, including concepts of cloud computing, technologies like virtualization and service-oriented architecture, security considerations, challenges around data protection and management capabilities, and benefits such as reduced costs and increased flexibility. Cloud computing provides on-demand access to shared computing resources over a network in various service models like SaaS, PaaS and IaaS. While cloud offers benefits, challenges remain around data security, availability and regulatory compliance.
Grid computing and utility computing were early models that influenced the development of cloud computing. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services via the internet. There are three cloud computing delivery models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic computing resources, PaaS provides platforms to build applications, and SaaS provides ready-to-use applications. While cloud computing provides advantages like reduced costs and increased scalability, it also faces challenges regarding privacy, security, and vulnerabilities from infrastructure failures or attacks.
Unit I Fundamentals of Cloud Computing.pptxRahul Borate
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It offers advantages like lower costs, flexibility, scalability and productivity gains. There are different cloud deployment models including public, private and hybrid clouds. Common uses of cloud computing include storing and backing up data, running applications, analyzing data, and delivering software as a service. While cloud computing provides many benefits, challenges still exist around availability, data security, performance unpredictability and resource management across large, shared infrastructures.
Cloud computing involves storing and accessing data and programs over the Internet instead of a computer's hard drive. It provides various services through a network of remote servers accessed via the Internet. There are three main deployment models (public, private, hybrid), three service models (IaaS, PaaS, SaaS), and various software used in cloud computing. While it provides flexibility, low costs, and scalability, concerns include security, dependency on providers, and the need for internet access. It may reduce some local IT jobs but increase jobs at cloud providers to manage infrastructure and administration.
Bhuvnesh Yadav presented a seminar on cloud computing. The presentation introduced cloud computing as internet-based computing where shared resources are provided on demand over the internet. It described the architecture and types of cloud computing including public, private and hybrid clouds. It discussed the cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The presentation outlined the advantages of cloud computing such as flexibility, low cost, and easy management of data, but also noted disadvantages including dependency on providers and security concerns.
Cloud computing refers to applications and services delivered over the Internet. It provides on-demand access to shared computing resources like servers, storage, databases and software that can be provisioned with minimal management effort. Major cloud service models include SaaS, PaaS and IaaS. The cloud computing market is growing rapidly with major players like Amazon, Microsoft and Google dominating different segments. Emerging services like STaaS, Daas and Caas are facilitating wider cloud adoption.
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However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. Content
Introduction of Cloud Computing & Historical Background
Cloud Service Models & Cloud Deployment Models
Benefits of Cloud Computing
Risks and Challenges
Future Trends in Cloud Computing
Edge Computing, Serverless Computing, AI & Machine Learning in Cloud, Security and
Compliance
Needs and Obstacles for Cloud Deployment
Conclusion
3. Introduction of Cloud Computing &
Historical Background
Cloud computing is a technology that allows users to access and use computing resources, such as
servers, storage, databases, networking, software, and more, over the internet on a pay-as-you-go
basis.
It eliminates the need for organizations to invest in and maintain their own physical infrastructure,
offering flexibility and scalability.
History
• Cloud computing concepts date back to the 1950s, with early experiments in time-sharing and remote
access.
• The term "cloud computing" gained prominence in the early 21st century with the advent of virtualization
and internet-based services.
4. Cloud Service Models
There are three service models:
IaaS (Infrastructure as a Service)
PaaS (Platform as a Service)
SaaS (Software as a Service)
5. Cloud Service Models
IaaS (Infrastructure as a Service): IaaS provides virtualized computing resources over the internet,
including servers, storage, and networking.
It offers a range of essential IT infrastructure components, including servers, storage, networking, and
sometimes additional services like load balancers, firewalls, and virtual machines.
Key Characteristics and Features of IaaS:
• Virtualization
• Scalability
• Self-Service
• Pay-as-You-Go Billing
• Customization
6. Cloud Service Models
Use Cases of IaaS:
• Web Hosting
• Development and Testing
• Data Backup and Recovery
• Big Data Processing
7. Cloud Service Models
Platform as a Service (PaaS): is a cloud computing model that provides a platform and environment for
developers to build, deploy, and manage applications without the complexities of managing the
underlying infrastructure.
PaaS abstracts infrastructure management, allowing developers to focus solely on coding and
application logic.
Key Characteristics and Features of PaaS:
• Development Tools
• Middleware
• Scalability
• Automated Management
• Multi-Tenancy
8. Cloud Service Models
Use Cases of PaaS:
• Web Application Development
• Database Management
• Continuous Integration and Deployment (CI/CD)
9. Cloud Service Models
Software as a Service (SaaS): is a cloud computing model where software applications are
delivered over the internet on a subscription basis. Instead of purchasing and installing software on
individual devices or servers, users access and use the software through a web browser.
Key Characteristics and Features of SaaS:
• Accessibility
• Subscription-Based
• Maintenance and Updates
10. Cloud Service Models
Use Cases of SaaS:
• Email and Collaboration Tools
• Customer Relationship Management (CRM)
• Enterprise Resource Planning (ERP)
• Cloud Storage and File Sharing
12. Cloud Deployment Models
• Public Cloud: Public cloud services are provided by third-party cloud providers and are accessible
to the general public.
• Private Cloud: Private cloud infrastructure is dedicated to a single organization, offering greater
control and security.
• Hybrid Cloud: Hybrid cloud combines both public and private clouds, allowing data and
applications to be shared between them.
• Community Cloud: A community cloud in computing is a collaborative effort in which infrastructure
is shared between several organizations from a specific community with common concerns
(security, compliance, jurisdiction, etc.), whether managed internally or by a third party and hosted
internally or externally.
14. Key Characteristics of Cloud Computing
Key Characteristics
• On-Demand Self-Service: Users can provision and manage resources as needed without human
intervention.
• Broad Network Access: Cloud services are accessible over the internet from various devices.
• Resource Pooling: Computing resources are shared among multiple users to maximize efficiency.
• Rapid Elasticity: Resources can be scaled up or down quickly to meet demand.
• Measured Service: Cloud usage is metered, and users pay only for what they consume.
15. Benefits of Cloud Computing
Cost Savings: Cloud computing reduces capital expenses, as organizations pay for resources as
they use them.
Scalability: Easily scale resources up or down to accommodate changing needs.
Flexibility: Access resources from anywhere with an internet connection.
Reliability: Cloud providers offer high availability and redundancy.
Innovation: Cloud enables the adoption of new technologies quickly.
16. Risks and Challenges of Cloud Computing
Security Concerns: Data breaches and unauthorized access can be concerns.
Data Privacy: Storing data off-site may raise privacy and compliance issues.
Downtime: Reliance on cloud providers can lead to downtime in case of outages.
Data Transfer Costs: Transmitting large amounts of data to and from the cloud may incur
charges.
Vendor Lock-In: Organizations may become dependent on a single cloud provider.
17. Future Trends in Cloud Computing
Edge Computing ()
Serverless Computing ()
AI and Machine Learning in the Cloud ()
Quantum Computing
Security and Compliance
18. Need for Cloud Deployment
Business Needs for Cloud Deployment
1. Cost Efficiency:
• Cost Savings: One of the primary drivers for businesses to adopt cloud deployment is cost savings.
Cloud computing eliminates the need for organizations to invest heavily in physical hardware, data
centers, and maintenance. Instead, they pay for cloud resources as they use them, following a pay-as-
you-go model. This reduces upfront capital expenditures and allows organizations to allocate resources
more efficiently.
• Resource Optimization: Cloud services provide resource optimization, allowing businesses to scale up
or down as needed. This means they can avoid overprovisioning or underutilization of resources,
optimizing costs.
• Reduced Operational Costs: By offloading the management and maintenance of infrastructure to cloud
providers, businesses can reduce their operational costs, including IT staff and hardware maintenance
expenses.
19. Need for Cloud Deployment
2. Scalability:
• Elasticity: Cloud platforms offer elastic scalability, enabling businesses to respond to changing
workloads and demand in real-time. This scalability ensures that businesses can handle sudden
spikes in traffic without disruptions.
• Business Growth: As businesses expand, their IT infrastructure needs to grow accordingly. Cloud
computing allows for seamless and rapid scaling, ensuring that infrastructure can keep up with the
pace of business growth.
20. Need for Cloud Deployment
3. Flexibility and Agility:
• Global Reach: Cloud services are accessible from anywhere with an internet connection, providing
global reach.
• Faster Time-to-Market: Cloud deployment speeds up the development and deployment of applications
and services.
• Experimentation: Cloud computing enables businesses to experiment with new ideas and technologies
without significant upfront investments.
4. Reliability and Availability:
• High Availability: Leading cloud providers offer robust data centers with redundancy and failover
capabilities. This ensures high availability and minimizes downtime, which is critical for businesses that
rely on continuous operations.
• Disaster Recovery: Cloud providers offer built-in disaster recovery solutions, allowing businesses to
recover data and operations quickly in case of disasters or system failures.
21. Need for Cloud Deployment
5. Security:
• Security Services: Many cloud providers offer advanced security services and features, including
encryption, identity and access management, and threat detection. This helps businesses enhance
their overall security posture.
6. Collaboration and Remote Work:
• Collaboration Tools: Cloud-based collaboration tools and platforms enable remote and distributed
teams to work together effectively. This is especially valuable in today's global and remote work
environments.
• Access Anytime, Anywhere: Cloud solutions allow employees to access business-critical
applications and data from anywhere, facilitating remote work and improving productivity.
22. Obstacles for Cloud Deployment
1. Security Concerns:
• Data Breaches: One of the primary security concerns in cloud adoption is the potential for data
breaches. Organizations worry about unauthorized access to sensitive data, which can lead to
financial losses, legal repercussions, and damage to reputation.
• Shared Responsibility: Understanding the shared responsibility model is crucial. Cloud providers
are responsible for securing the infrastructure, but organizations are responsible for securing their
data and configurations. Misconfigurations can expose data to threats.
• Cloud-specific Threats: Cloud environments introduce unique security threats, such as
misconfigured security settings, insider threats, and unauthorized access to cloud management
consoles.
23. Obstacles for Cloud Deployment
2. Data Privacy:
• Data Sovereignty: Data sovereignty concerns arise when data crosses national borders. Some
countries have strict regulations governing where data can be stored and processed.
Organizations must navigate these regulations to ensure compliance.
• Data Residency: Some industries, like healthcare and finance, have strict requirements regarding
where data can be stored and processed. Cloud providers may have data centers in multiple
regions, making it essential to choose a provider with the right data residency options.
• Data Encryption: Encrypting data both in transit and at rest is crucial for maintaining data privacy.
Organizations need to understand the encryption options provided by their cloud provider and
implement appropriate encryption practices.
24. Obstacles for Cloud Deployment
3. Integration:
• Legacy Systems: Migrating existing on-premises systems and legacy applications to the cloud
can be complex. Compatibility issues, differing architecture, and data migration challenges often
arise.
• Interoperability: Ensuring that cloud-based services work seamlessly with existing systems and
other cloud services can be challenging. Integration may require custom development or third-party
solutions.
• Data Migration: Data migration to the cloud can be time-consuming and error-prone.
Organizations must carefully plan and execute data migration strategies to minimize downtime and
data loss.
• Vendor Lock-In: Depending too heavily on a single cloud provider can lead to vendor lock-in,
making it difficult to migrate away from that provider in the future. Businesses should consider
strategies to mitigate this risk, such as adopting multi-cloud or hybrid cloud solutions.
25. Mitigating Obstacles in Cloud Deployment
Few Solutions:
• Encryption: Implement robust encryption mechanisms for data in transit and at rest. Utilize
encryption protocols for network traffic and encryption keys management services provided by your
cloud provider.
• Access Controls: Implement strict access controls and authentication mechanisms. Utilize
Identity and Access Management (IAM) solutions to manage user permissions effectively. Ensure
the principle of least privilege to restrict access only to necessary personnel.
• Security Monitoring: Deploy advanced security monitoring and alerting tools to detect and
respond to security threats in real-time.
• Regular Auditing: Conduct regular security audits and vulnerability assessments to identify and
remediate potential weaknesses in your cloud infrastructure.
26. Mitigating Obstacles in Cloud Deployment
Data Classification: Classify your data to determine which data is subject to specific regulations
and compliance requirements. Apply appropriate security and access controls to sensitive data.
Data Retention and Deletion Policies: Implement data retention and deletion policies to ensure
compliance with data protection regulations, including the right to be forgotten (GDPR).
27. Conclusion / Recap
• We started by defining / introduction of Cloud Computing and a little history
• Exploring the fundamental cloud service models: IaaS, PaaS, and SaaS.
• Exploring the cloud deployment models: Private, Public, Hybrid and Community
• Delved into the business needs driving cloud adoption, such as cost efficiency, scalability, flexibility,
reliability and security.
• Examined the obstacles organizations may encounter when considering cloud adoption, including
security concerns, data privacy challenges, and integration complexities.
• Finally, we discussed few solutions to mitigate the obstacles to reap the benefits of cloud
computing.
28. What you need to do?
Write an Article on Edge Computing / Serverless Computing / AI and Machine Learning in the Cloud
1. Post it on your account of medium.com
2. Share the medium post on your LinkedIn profile
3. Add me in your LinkedIn and Tag me in your post
Don’t forget to use proper hashtags
LinkedIn profile:
https://www.linkedin.com/in/marslanalvi/
Deadline: Monday, September 18, 2023 till 6 PM
Editor's Notes
Virtualization: IaaS relies heavily on virtualization technology, where physical hardware resources are abstracted and partitioned into virtual resources. Users can provision and manage these virtual resources as needed.
Scalability: One of the primary advantages of IaaS is its scalability. Users can scale resources up or down based on demand, ensuring that they have the computing power they need when they need it. This elasticity is cost-effective and efficient.
Self-Service: IaaS platforms often provide self-service portals or APIs, allowing users to provision and manage resources autonomously. Users can create, configure, and manage virtual machines, storage, and networking resources through a web interface or programmatically.
Pay-as-You-Go Billing: IaaS typically follows a pay-as-you-go or utility-based pricing model. Users are billed based on their actual resource consumption, which is measured by metrics like CPU usage, storage capacity, and network bandwidth.
Customization: Users have control over the operating system, software, and configurations on the virtual machines. This allows for a high degree of customization to meet specific application requirements.
Web Hosting: IaaS can be used to host websites, web applications, and e-commerce platforms, providing the necessary computing power and storage.
Development and Testing: Developers often use IaaS for creating and testing applications in isolated environments.
Data Backup and Recovery: IaaS offers scalable storage solutions for data backup and disaster recovery.
Big Data Processing: It's suitable for running big data analytics, as users can scale resources as needed to process large datasets.
Development Tools: PaaS platforms typically offer a set of development tools, programming languages, libraries, and APIs that enable developers to create applications.
Middleware: PaaS often includes middleware services such as databases, messaging systems, and application servers, simplifying application development.
Scalability: Like IaaS, PaaS platforms offer scalability, but it is focused on scaling the application itself, not infrastructure components. Developers can easily scale their applications to accommodate changing workloads.
Automated Management: PaaS platforms handle many aspects of application management, including load balancing, security, and runtime environments. This reduces the burden on developers and operations teams.
Multi-Tenancy: PaaS allows multiple users or organizations to share the same platform while keeping their applications and data isolated.
Web Application Development: PaaS is popular for building web and mobile applications, as it provides development frameworks and tools.
Database Management: PaaS platforms often include database services, making it easier to create and manage databases for applications.
Continuous Integration and Deployment (CI/CD): PaaS supports automated CI/CD pipelines, enabling seamless application deployment and updates.
Accessibility: SaaS applications are accessible from anywhere with an internet connection and a compatible device, which can be a desktop, laptop, tablet, or smartphone.
Subscription-Based: SaaS follows a subscription pricing model. Users pay a regular fee (monthly or annually) to access and use the software. This eliminates the need for upfront software licensing costs.
Maintenance and Updates: SaaS providers handle software maintenance, updates, security, and infrastructure management. Users don't need to worry about software patches or upgrades.
Email and Collaboration Tools: Examples include Gmail, Microsoft 365 (formerly Office 365), and Slack.
Customer Relationship Management (CRM): Salesforce, HubSpot, and Zoho CRM are popular SaaS CRM solutions.
Enterprise Resource Planning (ERP): SaaS ERP systems like NetSuite and SAP Business ByDesign streamline business operations.
Cloud Storage and File Sharing: Services like Dropbox and Google Drive offer cloud-based storage and file-sharing capabilities.
In summary, IaaS provides virtualized infrastructure resources, PaaS offers a platform for application development, and SaaS delivers software applications over the internet. Each of these cloud service models has distinct characteristics and use cases, catering to different needs and preferences in the cloud computing landscape.