The document discusses cloud computing, including what it is, how it works, its history and drivers, and types of cloud computing models. Specifically:
- Cloud computing involves delivering hosted services over the Internet, allowing users to access applications from anywhere. It reduces the need for in-house hardware and software management.
- Key benefits include reduced costs, no upfront infrastructure costs, easy scaling, and access from any device. Risks include security concerns about data hosted externally.
- Major cloud models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Hybrid and private cloud models also exist.
Advanced REST API Scripting With AppDynamicsTodd Radel
This document provides an overview of advanced REST API scripting with Python. It begins with introductions and then outlines an agenda including installing the Python SDK, performing basic operations like retrieving application data, getting metric data, and generating a license usage report. It also demonstrates how to programmatically enable and disable health rules using the REST API. Code samples are provided in Python to demonstrate common tasks like Hello World examples, retrieving data, and automating operations during deployments.
Ingesting and Processing IoT Data - using MQTT, Kafka Connect and KSQLGuido Schmutz
The document discusses ingesting and processing IoT data using Kafka, MQTT, Kafka Connect, and KSQL. It begins with an introduction and overview of reference architectures. It then demonstrates streaming IoT logistics data from devices to Kafka using MQTT, the MQTT Connector, and MQTT Proxy. It shows how to analyze streaming data with KSQL, including creating streams and tables, running queries, and creating new streams with SELECT statements. The goal is to provide a complete solution for ingesting, routing, and analyzing IoT data in real-time and at scale.
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
The document provides information about Google Cloud Platform services including App Engine, Compute Engine, Cloud Storage, BigQuery, and Cloud SQL. It discusses the key features of each service, such as scalability, reliability, cost efficiency, and SQL support for Cloud SQL. Pricing models are outlined for various resources like instances, storage, bandwidth, and database tiers. The document aims to help users understand and utilize Google Cloud Platform's infrastructure and managed services.
Best Practices in Planning a Large-Scale Migration to AWS - AWS Online Tech T...Amazon Web Services
Many businesses have a large portfolio of existing applications running on-premises today and are interested in moving those workloads to AWS in order to achieve cost savings and enable business agility. Planning a large-scale migration to the cloud takes time and effort, as well as expertise and tools to ensure success along the way. AWS has developed a framework to help customers plan and execute large-scale migration programs, consisting of a comprehensive methodology, a set of tools, and partners with deep subject expertise. In this tech talk, you will learn about foundational milestones to achieve in your migration journey, how to analyze your application portfolio, plan and execute your migration project, and enable your organization to operate on the cloud. This framework leverages our experiences and best practices in assisting organization around the world with their migration programs.
Building Event Driven (Micro)services with Apache KafkaGuido Schmutz
What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will start with quick recap of how we created systems over the past 20 years and how different architectures evolved from it. The talk will show how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so.
Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Advanced REST API Scripting With AppDynamicsTodd Radel
This document provides an overview of advanced REST API scripting with Python. It begins with introductions and then outlines an agenda including installing the Python SDK, performing basic operations like retrieving application data, getting metric data, and generating a license usage report. It also demonstrates how to programmatically enable and disable health rules using the REST API. Code samples are provided in Python to demonstrate common tasks like Hello World examples, retrieving data, and automating operations during deployments.
Ingesting and Processing IoT Data - using MQTT, Kafka Connect and KSQLGuido Schmutz
The document discusses ingesting and processing IoT data using Kafka, MQTT, Kafka Connect, and KSQL. It begins with an introduction and overview of reference architectures. It then demonstrates streaming IoT logistics data from devices to Kafka using MQTT, the MQTT Connector, and MQTT Proxy. It shows how to analyze streaming data with KSQL, including creating streams and tables, running queries, and creating new streams with SELECT statements. The goal is to provide a complete solution for ingesting, routing, and analyzing IoT data in real-time and at scale.
Introduction to Google Cloud Services / PlatformsNilanchal
The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.
The document provides information about Google Cloud Platform services including App Engine, Compute Engine, Cloud Storage, BigQuery, and Cloud SQL. It discusses the key features of each service, such as scalability, reliability, cost efficiency, and SQL support for Cloud SQL. Pricing models are outlined for various resources like instances, storage, bandwidth, and database tiers. The document aims to help users understand and utilize Google Cloud Platform's infrastructure and managed services.
Best Practices in Planning a Large-Scale Migration to AWS - AWS Online Tech T...Amazon Web Services
Many businesses have a large portfolio of existing applications running on-premises today and are interested in moving those workloads to AWS in order to achieve cost savings and enable business agility. Planning a large-scale migration to the cloud takes time and effort, as well as expertise and tools to ensure success along the way. AWS has developed a framework to help customers plan and execute large-scale migration programs, consisting of a comprehensive methodology, a set of tools, and partners with deep subject expertise. In this tech talk, you will learn about foundational milestones to achieve in your migration journey, how to analyze your application portfolio, plan and execute your migration project, and enable your organization to operate on the cloud. This framework leverages our experiences and best practices in assisting organization around the world with their migration programs.
Building Event Driven (Micro)services with Apache KafkaGuido Schmutz
What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will start with quick recap of how we created systems over the past 20 years and how different architectures evolved from it. The talk will show how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so.
Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
This document discusses data center consolidation as a key strategy for IT cost cutting. It notes that 69% of IT costs come from operations and maintenance of existing systems, and that consolidating data centers can reduce these costs by decreasing the number of data centers, servers, software licenses, and power usage. The document recommends migrating to virtualized hardware and cloud platforms as part of consolidation efforts to further reduce costs, while also implementing strategic disaster recovery functionality. It emphasizes planning application migrations carefully to avoid issues that could extend timelines or budgets.
The document provides an overview of a course on AWS Cloud Essentials. It outlines the course modules which cover topics such as AWS fundamentals, console and usage, SDK and CLI, monitoring and metrics, security and networking, and cost optimization. The objectives of the first module are to understand basic cloud concepts, different cloud models and vendors, features of AWS, use cases, and opportunities in cloud computing. Key cloud concepts covered include on-demand access, scalability, pay-per-use, and efficiency through expert management of resources.
414: Build an agile CI/CD Pipeline for application integrationTrevor Dolby
This presentation was originally presented at IBM TechCon 2021. Many CI/CD practices are well known - but how do they apply when 'Integration' itself is the primary deliverable? Pipelines and testing are ubiquitous in the modern software world, and integration often brings greater fun challenges in this area. Come and join us as we showcase where the challenges are and how IBM App Connect meets this with unit test capability for shift-left testing and early-stage pipeline use, efficient application packaging & container image construction, and flexible runtime configuration.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Modernization patterns to refactor a legacy application into event driven mic...Bilgin Ibryam
A use-case-driven introduction to the most common design patterns for modernizing monolithic legacy applications to microservices using Apache Kafka, Debezium, and Kubernetes.
This document provides an overview of Google Cloud Platform (GCP) services. It begins by explaining why GCP is underpinned by Google's infrastructure and innovation. It then outlines GCP's compute, networking, storage, big data, and machine learning services. These include Compute Engine, Container Engine, App Engine, load balancing, Cloud DNS, Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Datalab. Machine learning services such as Translate API, Prediction API, Cloud Vision API, and Cloud Speech API are also introduced.
Google Cloud Platform Training | Introduction To GCP | Google Cloud Platform ...Edureka!
***** Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training *****
This Edureka tutorial will provide you with a detailed and comprehensive training on Google Cloud Platform and will also provide you with the training details of the Google Cloud Architect Certification Training.
Google Cloud Playlist: https://goo.gl/zEBTkL
Event Sourcing, Stream Processing and Serverless (Benjamin Stopford, Confluen...confluent
In this talk we’ll look at the relationship between three of the most disruptive software engineering paradigms: event sourcing, stream processing and serverless. We’ll debunk some of the myths around event sourcing. We’ll look at the inevitability of event-driven programming in the serverless space and we’ll see how stream processing links these two concepts together with a single ‘database for events’. As the story unfolds we’ll dive into some use cases, examine the practicalities of each approach-particularly the stateful elements-and finally extrapolate how their future relationship is likely to unfold. Key takeaways include: The different flavors of event sourcing and where their value lies. The difference between stream processing at application- and infrastructure-levels. The relationship between stream processors and serverless functions. The practical limits of storing data in Kafka and stream processors like KSQL."
Lecture #6 - ET-3010
Cloud Computing - Overview and Examples
Connected Services and Cloud Computing
School of Electrical Engineering and Informatics SEEI / STEI
Institut Teknologi Bandung ITB
Update April 2017
This document provides an overview of cloud computing, including its basic functioning, characteristics, service models (IaaS, PaaS, SaaS), types of clouds (private, public, hybrid, multi-cloud, community), and advantages and disadvantages. Cloud computing allows on-demand access to shared configurable computing resources via the internet. It provides various capabilities for users to store and process data in third-party data centers. The main service models are infrastructure as a service, platform as a service, and software as a service.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
This document discusses the evolution of cloud computing and its key concepts. It describes how cloud computing has evolved from basic internet access provided by Internet Service Providers (ISPs) to today's dynamic cloud infrastructure that hosts applications. Virtualization allows data centers to consolidate servers, reducing costs. The cloud computing model delivers various services and offers benefits like scalability, but security is important. The document outlines several cloud computing layers and types including private and public clouds.
CloudSim is a framework for modeling and simulating cloud infrastructure and services. It aims to deliver reliable, secure, fault-tolerant, sustainable and scalable infrastructure for hosting internet applications. CloudSim allows modeling different applications and services for cloud systems and scheduling them, addressing the challenges of load, energy performance, and infrastructure management through simulation. Learning CloudSim provides the ability to test applications on simulated cloud infrastructure without relying on actual hardware.
Real-Life Use Cases & Architectures for Event Streaming with Apache KafkaKai Wähner
Streaming all over the World: Real-Life Use Cases & Architectures for Event Streaming with Apache Kafka.
Learn about various case studies for event streaming with Apache Kafka across industries. The talk explores architectures for real-world deployments from Audi, BMW, Disney, Generali, Paypal, Tesla, Unity, Walmart, William Hill, and more. Use cases include fraud detection, mainframe offloading, predictive maintenance, cybersecurity, edge computing, track&trace, live betting, and much more.
The document discusses the key steps involved in setting up a website, including acquiring a domain name, choosing a web hosting provider, uploading files to the web server, and making the site accessible online. It covers topics like common web server operating systems, the differences between shared and dedicated hosting, and using an FTP client like FileZilla to transfer files from a local computer to the hosting server.
Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms operated from server farms located across 16 geographical regions worldwide. AWS allows organizations to access shared computing and storage resources over the internet rather than building and maintaining their own infrastructure. Some benefits of AWS include lower costs, easy management, portability, and no direct coupling between hardware and software. Large companies like Netflix, Adobe, and General Electric utilize AWS for its scalable and reliable cloud services.
This document discusses virtualization techniques for embedded systems to enable the cloud of things (CoT). It begins by introducing CoT as the integration of the internet of things (IoT) and cloud computing to realize the vision of smart networked systems and societies. It then discusses fog computing as an extension of cloud computing that is better suited for IoT due to features like edge location. The document evaluates whether current embedded system hardware and virtualization techniques can support CoT/IoT and finds that full, para, and container virtualization as well as type-1 and type-2 hypervisors are appropriate options. Key frameworks like Xen and KVM that support ARM architecture are also mentioned.
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.
This document provides an overview of basic fundamentals of C programming, including definitions of software, programs, and different types of software. It also discusses programming languages and how they are classified, including machine language, assembly language, high-level languages, and fourth generation languages. Translators like assemblers, compilers, and interpreters are described which convert code between machine language and other languages. Finally, the role of editors in programming is covered.
Early programming techniques used a bottom-up approach where programmers would focus on implementation details first before considering overall objectives. This led to issues integrating subprograms. Top-down design emerged where programmers first examine the overall problem and break it down into steps, addressing broader objectives before implementation details. Structured programming formalized this as a methodology, emphasizing systematic software design, development and management. It uses techniques like top-down design and control structures to create tightly structured and modular code, lowering costs by standardizing development and making programs simpler to develop and maintain.
This document discusses data center consolidation as a key strategy for IT cost cutting. It notes that 69% of IT costs come from operations and maintenance of existing systems, and that consolidating data centers can reduce these costs by decreasing the number of data centers, servers, software licenses, and power usage. The document recommends migrating to virtualized hardware and cloud platforms as part of consolidation efforts to further reduce costs, while also implementing strategic disaster recovery functionality. It emphasizes planning application migrations carefully to avoid issues that could extend timelines or budgets.
The document provides an overview of a course on AWS Cloud Essentials. It outlines the course modules which cover topics such as AWS fundamentals, console and usage, SDK and CLI, monitoring and metrics, security and networking, and cost optimization. The objectives of the first module are to understand basic cloud concepts, different cloud models and vendors, features of AWS, use cases, and opportunities in cloud computing. Key cloud concepts covered include on-demand access, scalability, pay-per-use, and efficiency through expert management of resources.
414: Build an agile CI/CD Pipeline for application integrationTrevor Dolby
This presentation was originally presented at IBM TechCon 2021. Many CI/CD practices are well known - but how do they apply when 'Integration' itself is the primary deliverable? Pipelines and testing are ubiquitous in the modern software world, and integration often brings greater fun challenges in this area. Come and join us as we showcase where the challenges are and how IBM App Connect meets this with unit test capability for shift-left testing and early-stage pipeline use, efficient application packaging & container image construction, and flexible runtime configuration.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Modernization patterns to refactor a legacy application into event driven mic...Bilgin Ibryam
A use-case-driven introduction to the most common design patterns for modernizing monolithic legacy applications to microservices using Apache Kafka, Debezium, and Kubernetes.
This document provides an overview of Google Cloud Platform (GCP) services. It begins by explaining why GCP is underpinned by Google's infrastructure and innovation. It then outlines GCP's compute, networking, storage, big data, and machine learning services. These include Compute Engine, Container Engine, App Engine, load balancing, Cloud DNS, Cloud Storage, Cloud Datastore, Cloud Bigtable, Cloud SQL, BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Datalab. Machine learning services such as Translate API, Prediction API, Cloud Vision API, and Cloud Speech API are also introduced.
Google Cloud Platform Training | Introduction To GCP | Google Cloud Platform ...Edureka!
***** Google Cloud Certification Training - Cloud Architect: https://www.edureka.co/google-cloud-architect-certification-training *****
This Edureka tutorial will provide you with a detailed and comprehensive training on Google Cloud Platform and will also provide you with the training details of the Google Cloud Architect Certification Training.
Google Cloud Playlist: https://goo.gl/zEBTkL
Event Sourcing, Stream Processing and Serverless (Benjamin Stopford, Confluen...confluent
In this talk we’ll look at the relationship between three of the most disruptive software engineering paradigms: event sourcing, stream processing and serverless. We’ll debunk some of the myths around event sourcing. We’ll look at the inevitability of event-driven programming in the serverless space and we’ll see how stream processing links these two concepts together with a single ‘database for events’. As the story unfolds we’ll dive into some use cases, examine the practicalities of each approach-particularly the stateful elements-and finally extrapolate how their future relationship is likely to unfold. Key takeaways include: The different flavors of event sourcing and where their value lies. The difference between stream processing at application- and infrastructure-levels. The relationship between stream processors and serverless functions. The practical limits of storing data in Kafka and stream processors like KSQL."
Lecture #6 - ET-3010
Cloud Computing - Overview and Examples
Connected Services and Cloud Computing
School of Electrical Engineering and Informatics SEEI / STEI
Institut Teknologi Bandung ITB
Update April 2017
This document provides an overview of cloud computing, including its basic functioning, characteristics, service models (IaaS, PaaS, SaaS), types of clouds (private, public, hybrid, multi-cloud, community), and advantages and disadvantages. Cloud computing allows on-demand access to shared configurable computing resources via the internet. It provides various capabilities for users to store and process data in third-party data centers. The main service models are infrastructure as a service, platform as a service, and software as a service.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
This document discusses the evolution of cloud computing and its key concepts. It describes how cloud computing has evolved from basic internet access provided by Internet Service Providers (ISPs) to today's dynamic cloud infrastructure that hosts applications. Virtualization allows data centers to consolidate servers, reducing costs. The cloud computing model delivers various services and offers benefits like scalability, but security is important. The document outlines several cloud computing layers and types including private and public clouds.
CloudSim is a framework for modeling and simulating cloud infrastructure and services. It aims to deliver reliable, secure, fault-tolerant, sustainable and scalable infrastructure for hosting internet applications. CloudSim allows modeling different applications and services for cloud systems and scheduling them, addressing the challenges of load, energy performance, and infrastructure management through simulation. Learning CloudSim provides the ability to test applications on simulated cloud infrastructure without relying on actual hardware.
Real-Life Use Cases & Architectures for Event Streaming with Apache KafkaKai Wähner
Streaming all over the World: Real-Life Use Cases & Architectures for Event Streaming with Apache Kafka.
Learn about various case studies for event streaming with Apache Kafka across industries. The talk explores architectures for real-world deployments from Audi, BMW, Disney, Generali, Paypal, Tesla, Unity, Walmart, William Hill, and more. Use cases include fraud detection, mainframe offloading, predictive maintenance, cybersecurity, edge computing, track&trace, live betting, and much more.
The document discusses the key steps involved in setting up a website, including acquiring a domain name, choosing a web hosting provider, uploading files to the web server, and making the site accessible online. It covers topics like common web server operating systems, the differences between shared and dedicated hosting, and using an FTP client like FileZilla to transfer files from a local computer to the hosting server.
Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms operated from server farms located across 16 geographical regions worldwide. AWS allows organizations to access shared computing and storage resources over the internet rather than building and maintaining their own infrastructure. Some benefits of AWS include lower costs, easy management, portability, and no direct coupling between hardware and software. Large companies like Netflix, Adobe, and General Electric utilize AWS for its scalable and reliable cloud services.
This document discusses virtualization techniques for embedded systems to enable the cloud of things (CoT). It begins by introducing CoT as the integration of the internet of things (IoT) and cloud computing to realize the vision of smart networked systems and societies. It then discusses fog computing as an extension of cloud computing that is better suited for IoT due to features like edge location. The document evaluates whether current embedded system hardware and virtualization techniques can support CoT/IoT and finds that full, para, and container virtualization as well as type-1 and type-2 hypervisors are appropriate options. Key frameworks like Xen and KVM that support ARM architecture are also mentioned.
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.
This document provides an overview of basic fundamentals of C programming, including definitions of software, programs, and different types of software. It also discusses programming languages and how they are classified, including machine language, assembly language, high-level languages, and fourth generation languages. Translators like assemblers, compilers, and interpreters are described which convert code between machine language and other languages. Finally, the role of editors in programming is covered.
Early programming techniques used a bottom-up approach where programmers would focus on implementation details first before considering overall objectives. This led to issues integrating subprograms. Top-down design emerged where programmers first examine the overall problem and break it down into steps, addressing broader objectives before implementation details. Structured programming formalized this as a methodology, emphasizing systematic software design, development and management. It uses techniques like top-down design and control structures to create tightly structured and modular code, lowering costs by standardizing development and making programs simpler to develop and maintain.
The document outlines the process for effective website design, including analyzing the content and target audience, organizing the navigation, content, page layout and design, developing the web page and site layout as well as graphics, and implementing the site by checking user interaction, uploading the site, and fine tuning. It also defines a website as an online location containing web pages that serves as a personal connection to the world, and notes that website design is different from other forms of publishing or communication.
This document discusses various operators in C programming language. It describes arithmetic operators like addition, subtraction, multiplication, division and modulus. It also covers logical/relational operators that are used to compare values, such as ==, !=, >, <, >=, <=. Examples are provided to demonstrate how each operator works and the output obtained when using them in sample code snippets.
Desktop virtualization involves separating the desktop environment from the physical device and hosting it centrally in a data center. This allows users to access their desktop from any device. There are several drivers for companies adopting desktop virtualization, including lower management costs, improved security since data is centralized, and reduced total cost of ownership. Desktop virtualization solutions include terminal services, virtual desktops, application virtualization, and virtual systems. T-Systems' Dynamic Desktop offering provides these advantages through centralized management of desktops in the data center, giving users flexibility in accessing their desktop environment from various locations and devices.
An algorithm is a set of instructions or steps to solve a problem, while pseudo code describes the algorithm without using the syntax of a specific programming language. Pseudo code cannot be executed by a computer. The key difference between an algorithm and pseudo code is that an algorithm is written in a natural language, while pseudo code uses structures from programming languages but not their exact syntax. Pseudo code makes it easier to transform an algorithm into actual computer code compared to an algorithm written only in a natural language.
This document provides a list of keyboard shortcuts to type special symbols using the Alt key on a keyboard. It lists the Alt key code needed to produce symbols such as the trademark, copyright, registered trademark, degree, plus-minus, paragraph, and fraction symbols. Keyboard shortcuts are also provided for symbols like the cent sign, upside down exclamation point, upside down question mark, smiley faces, sun, arrows, and more.
This document provides an overview of the Internet, including its history and evolution from ARPANET, networking models like OSI and TCP/IP, packet switching, methods of Internet access such as dial-up, ISP services, and protocols used on the Internet like HTTP, SMTP, FTP and others. It describes the layers of the OSI model and TCP/IP stack and classifies networks as LAN, MAN and WAN based on geographical range.
The document defines business models and their key components. It discusses traditional business models and e-commerce models. For business models, it identifies the main components as the value proposition, target customers, distribution channels, customer relationships, revenue streams, resources, activities, and cost structure. For e-commerce models, it provides examples of revenue streams like advertising, subscriptions, transactions, and sales. It also discusses the value proposition, target market segments, competitive environment, market strategy, and customer relationship management as important components of e-commerce models.
This document provides an introduction to HTML (Hypertext Markup Language). It describes what HTML is, discusses some basic HTML tags like <HTML>, <HEAD>, <TITLE>, and <BODY>, and how they are used to structure an HTML page. It also covers formatting text with headers, fonts, and other tags. The document concludes with a brief discussion of images and the
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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).
Mentions about the details and the advantages that cloud computing has to offer in E commerce which is highly use by high tech customers at present modern technology age.
Cloud computing technology has been a new buzzword in the IT industry and expecting a new horizon for coming world. It is a style of computing which is having dynamically scalable virtualized resources provided as a service over the Internet.
Imagine yourself in the world where the users of the computer of today’s internet world don’t have to run, install or store their application or data on their own computers, imagine the world where every piece of your information or data would reside on the Cloud (Internet).
This document provides an overview of cloud computing as an emerging technology. It defines cloud computing, explains the key components and models, identifies major players, and discusses the evolution and potential of the technology. Some of the main points covered include:
- Cloud computing delivers IT capabilities and services over the internet on a flexible, on-demand basis.
- Major players include Amazon, Google, Microsoft, IBM and startups.
- While limitations around security, control and reliability exist, cloud computing offers benefits like reduced costs, faster deployment, and scalability.
- The technology has evolved from earlier distributed computing concepts and is poised to further transform how businesses access technology resources.
This document provides a technical seminar report on cloud computing. It discusses the concept of cloud computing, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It also covers the history of cloud computing, key characteristics such as scalability and cost reduction, components like applications and infrastructure, and some legal and political issues related to cloud computing. The report was submitted by two students to fulfill the requirements for a computer science degree.
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Cloud computing services cover a vast range of options now, from the basics of storage, networking, and processing power through to natural language processing and artificial intelligence as well as standard office applications.
Cloud computing has evolved from earlier technologies like grid computing, utility computing, and software-as-a-service. It allows users access to IT resources over the internet on an as-needed basis. Key developments included private network services in the 1990s, the use of "cloud" to signify the processing space between companies and customers, and Amazon's introduction of web-based retail services in 2002. Technologies like virtualization and service-oriented architecture allow cloud computing to efficiently provide flexible, on-demand access to shared computing resources and applications.
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. It allows users to access technology-based services from the Internet without knowledge of, expertise with, or control over the technology infrastructure that supports them.
Cloud computing has evolved from earlier technologies like grid computing, utility computing, and software as a service (SaaS). It allows users to access computing resources like storage and applications over the internet. Key developments included private network services in the 1990s, the use of "cloud" to signify the space between companies and customers, and Amazon's introduction of web-based retail services in 2002. Technologies like virtualization and service-oriented architecture allow flexible provisioning of resources and enable the scalable, on-demand access that defines modern cloud computing.
This document provides an introduction and overview of cloud computing. It defines cloud computing as a model that enables network access to configurable computing resources that can be rapidly provisioned and released with minimal management effort. The document discusses how cloud computing allows users and companies to avoid upfront infrastructure costs and adjust resources to meet fluctuating demand. It also examines different perspectives on cloud computing and provides definitions from industry leaders to clarify what cloud computing is and how it relates to concepts like utility computing.
Group seminar report on cloud computingSandhya Rathi
It is short and sobar.It contains information of
Architectural Considerations in that contains Cloud Platform, Cloud Storage, Cloud Services..... Types of Services is also contain in that
Software as a Service(SaaS) ,Platform as a Service(PaaS) , Infrastructure as a Service(IaaS)
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.
Why cloud computing:
Cloud computing can be a cheaper, faster, and greener alternative to an On-premises solution. Without any infrastructure
investments, you can get Powerful software and massive computing resources quickly—with lower Up-front costs and fewer
management headaches down the road. Cloud-based solutions when evaluating options for new IT deployments Whenever a
secure, reliable, cost-effective cloud option exists. Shifting your agency into the cloud can be a big decision, with many
Considerations. This guide is the first in a series designed to help you Get started. The most important is the right choice
software as a service as a service, infrastructure as a service, and platform as a service or hybrid cloud. While addressing
administration goals of scalable, interactive citizen Portals. The cloud can also help your agency increase collaboration across
Organizations, deliver volumes of data to citizens in useful ways, and reduce IT costs while helping your agency focus on
mission-critical tasks. Plus, the Cloud can help you maintain operational efficiency during times of crisis.
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Cloud computing allows users to access computer applications from anywhere via the internet rather than installing and maintaining software locally. It provides efficient computing through centralized storage, memory, processing, and bandwidth. Examples of cloud computing include web-based email services and online office productivity tools. The document then describes the different layers of cloud computing including client, application, platform, infrastructure, server, and issues regarding security, reliability, ownership, data backup, portability, and multiplatform support.
Cloud computing is an information technology paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet.
This document provides instructions for using Dreamweaver to create a basic website. It describes setting up the site structure, creating a home page, designing pages in Layout View by drawing cells and tables, and adding images and text. Key steps include saving documents in the designated site folder, defining the page title, laying out the page design in cells and tables similarly to a sample layout, and inserting content like images and text into the layout.
The document discusses advanced HTML features for creating interactive web pages, including links, lists, tables, frames, forms, and other special tags. It provides details on how to use the <A>, <UL>, <OL>, <DL>, <TABLE>, <TR>, <TD>, <FORM>, and other tags to add these features. Examples are given of code for each tag type to demonstrate their proper usage.
This document discusses different file organization techniques for conventional database management systems. It describes sequential file organization where records are stored consecutively. Indexed sequential file organization is introduced to improve query response time for sequential files by adding an index. Direct file organization and multi-key file organization are also mentioned, which allow accessing records using different keys. Trade-offs among these techniques are discussed.
This document discusses distributed databases. It begins by introducing distributed database systems and their structure. Key points include that the database is split across multiple computers that communicate over a network. It then discusses the tradeoffs of distributing a database, such as increased availability but also higher complexity. The document outlines two approaches to distributing data - replication, where copies of data are stored at different sites, and fragmentation, where relations are split into pieces stored at different sites. It provides examples to illustrate these concepts.
This document introduces the basic concepts of database management systems. It discusses the limitations of traditional file-oriented approaches and the motivation for adopting a database approach. The key aspects covered include the three views of data (logical, conceptual, physical), the components of a DBMS, and the advantages and disadvantages of using a DBMS. It provides an overview of important database concepts such as entities, attributes, schemas, and data dictionaries.
The document outlines the process for effective website design, including analyzing the content and target audience, organizing the navigation, content, page layout and design, developing the web page and site layout as well as graphics, and implementing the site by checking user interaction, uploading the site, and fine tuning. It also defines what a website is as an online location containing web pages that functions as a personal communication connection, and notes that website design is different from other media.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Linux is an open-source operating system developed by Linus Torvalds in 1991. It provides a free or low-cost alternative to proprietary operating systems like Windows. Some key differences between Linux and Windows include cost, package management, hardware support, security, reliability, and user interfaces. While Windows prioritizes gaming and has more commercial software available, Linux offers more customization options and is widely used across different device types.
He 12 different types of servers that every techie should know aboutSuneel Dogra
This document lists and describes 12 common types of servers: 1) Real-Time Communication Servers which allow instant messaging, 2) FTP Servers which securely transfer files between computers, 3) Collaboration Servers which enable online collaboration, 4) List Servers which manage mailing lists, 5) Telnet Servers which allow remote computer access and control, 6) Web Servers which serve web pages to browsers, 7) Virtual Servers which share resources among multiple websites, 8) Proxy Servers which act as intermediaries for user requests, 9) Mail Servers which move and store email, 10) Server Platforms which are the underlying operating systems, 11) Open Source Servers which use open source operating systems, and 12
Bachelor of computer application b.c.a.-2014Suneel Dogra
This document provides the syllabus for the History and Culture of Punjab course for the Bachelor of Computer Applications program. It outlines the course content, examination structure, evaluation criteria and suggested reading materials. The course will cover the history and culture of Punjab from 1200-1849 AD in four units, examining topics like society under Afghan rule, the rise of Sikhism, the Khalsa period and developments in language and architecture. Students will be evaluated based on their performance in short answer and essay type questions covering the entire syllabus in the three hour examination.
Cloud computing allows users to access shared computing resources over the Internet. It provides hardware, software, storage and services to users on demand. The document discusses several cloud applications including Google Apps (Gmail, Docs), Dropbox, Basecamp, Highrise, Backpack, Campfire, Evernote, Xero, PayCycle, WorkflowMax, Logmein, Carbonite and Springpad that provide file sharing, project management, contact management, personal information management, online accounting, payroll services, time tracking, remote access, online backup and idea saving capabilities to users through the cloud.
Ubuntu has become one of the most widely used Linux distributions and helped make Linux accessible for non-technical users. The desktop interfaces for Linux have evolved significantly with options like Gnome and KDE that provide graphical experiences similar to Windows and macOS. Linux is now suitable for general use cases with distributions that are easy to use and provide functionality out of the box. While Linux may not be optimal for gaming or certain professional graphic design workflows, it can be used effectively for regular computing needs like office productivity and is a free, customizable alternative to Windows.
This document describes algorithms for inserting and deleting elements from a sorted or unsorted array. The insert sorted algorithm inserts an element into the correct position in a sorted array by shifting elements down. The insert unsorted algorithm inserts an element into a specified location by shifting elements downward. The delete algorithm removes an element from a specified location by shifting elements upward and decrementing the count.
A string in C is an array of characters that ends with a null character '\0'. Strings are stored in memory as arrays of characters with the null character added to the end. Common string operations in C include declaring and initializing strings, reading strings from users, and built-in string handling functions like strlen(), strcpy(), strcat(), and strcmp().
The document discusses three types of jumping statements in C language: break, continue, and goto.
1) The break statement terminates the nearest enclosing loop or switch statement and transfers execution to the statement following the terminated statement.
2) The continue statement skips the rest of the current loop iteration and transfers control to the loop check.
3) The goto statement unconditionally transfers control to the labeled statement. It is useful for branching within nested loops when a break statement cannot exit properly.
Professional coding requires focus, prioritization, and tackling challenges head-on. It is important to have discipline by delivering code in a timely manner, pick tasks and drop others to avoid multitasking, and deal with big issues first to plan your workflow. Less code is preferable to more complex code that can cause bugs and bloat delivery times. It is also important to let completed projects go and not get emotionally stuck on supporting them indefinitely so you can move forward in the technology field.
Machine language to artificial intelligenceSuneel Dogra
Programming languages have evolved from machine languages that directly manipulated hardware to higher-level languages that are further abstracted from hardware. First-generation languages used binary, while assembly languages (2GL) introduced symbolic codes. Third-generation languages like C and Fortran are machine-independent and compiled. Fourth-generation languages enhance productivity for tasks like querying, and fifth-generation languages use properties rather than algorithms for artificial intelligence applications like IBM Watson. Understanding which generation a language belongs to provides perspective on the level of control and work required.
1. Virtualization can refer to many different concepts in IT including operating system virtualization, application server virtualization, application virtualization, management virtualization, network virtualization, and hardware virtualization.
2. Operating system virtualization allows multiple virtual machines running different operating systems to run simultaneously on the same physical hardware.
3. Application server virtualization uses load balancing to present multiple application servers as a single virtual application server.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
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
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
cloud-computing
1. ABSTRACT
Cloud computing is basically an Internet-based network made up of large numbers of
servers - mostly based on open standards, modular and inexpensive. Clouds contain
vast amounts of information and provide a variety of services to large numbers of
people. The benefits of cloud computing are Reduced Data Leakage, Decrease evidence
acquisition time, they eliminate or reduce service downtime, they Forensic readiness, they
Decrease evidence transfer time The main factor to be discussed is security of cloud
computing, which is a risk factor involved in major computing fields
2. CLOUDCOMPUTING
What is a Cloud computing?
Cloud computing is Internet- (CLOUD-) based development and use of computer
technology (COMPUTING)
Cloud computing is a general term for anything that involves
delivering hosted services over the Internet.
It is used to describe both a platform and type of application.
Cloud computing also describes applications that are extended to be accessible through the
Internet.
These cloud applications use large data centers and powerful servers that host Web
applications and Web services.
Anyone with a suitable Internet connection and a standard browser can access a cloud
application.
User of the cloud only care about the service or information they are accessing - be it from their
PCs, mobile devices, or anything else connected to the Internet - not about the underlying details
of how the cloud works.´
History
The Cloud is a metaphor for the Internet, derived from its common depiction in network diagrams
(or more generally components which are managed by others) as a cloud outline.
3. The underlying concept dates back to 1960 when John McCarthy opined that computation may
someday be organized as a public utility (indeed it shares characteristics with service bureaus
which date back to the 1960s) and the term The Cloud was already in commercial use around
the turn of the 21st century. Cloud computing solutions had started to appear on the market,
though most of the focus at this time was on Software as a service.
2007 saw increased activity, including Goggle, IBM and a number of universities embarking on
a large scale cloud computing research project, around the time the term started gaining popularity
in the mainstream press. It was a hot topic by mid-2008 and numerous cloud computing events
had been scheduled.
WHAT IS DRIVING CLOUD COMPUTING?
The CLOUD COMPUTING is driving in two types of categories .They are as follows:
Customer perspective
Vendor perspective
Customer perspective:
In one word: economics
Faster, simpler, cheaper to use cloud computation.
No upfront capital required for servers and storage.
No ongoing for operational expenses for running datacenter.
Application can be run from anywhere.
Vendor perspective:
Easier for application vendors to reach new customers.
Lowest cost way of delivering and supporting applications.
Ability to use commodity server and storage hardware.
Ability to drive down data center operational cots.
Types of services:
These services are broadly divided into three categories:
Infrastructure-as-a-Service (IaaS)
Platform-as-a-Service (PaaS)
Software-as-a-Service (SaaS).
4. Infrastructure-as-a-Service (IaaS):
Infrastructure-as-a-Service(IaaS) like Amazon Web Services provides virtual servers with unique
IP addresses and blocks of storage on demand. Customers benefit from an API from which they
can control their servers. Because customers can pay for exactly the amount of service they use,
like for electricity or water, this service is also called utility computing.
Platform-as-a-Service (PaaS):
Platform-as-a-Service(PaaS) is a set of software and development tools hosted on the provider's
servers. Developers can create applications using the provider's APIs. Google Apps is one of the
most famous Platform-as-a-Service providers. Developers should take notice that there aren't any
interoperability standards (yet), so some providers may not allow you to take your application and
put it on another platform.
Software-as-a-Service (SaaS):
Software-as-a-Service (SaaS) is the broadest market. In this case the provider allows the
customer only to use its applications. The software interacts with the user through a user
interface. These applications can be anything from web based email, to applications like
Twitter or Last.fm.
Types by visibility:
Public cloud:
Public cloud or external cloud describes cloud computing in the traditional mainstream sense,
whereby resources are dynamically provisioned on a fine-grained, self-service basis over the
Internet, via web applications/web services, from an off-site third-party provider who
shares resources and bills on a fine-grained utility computing basis.
Hybrid cloud:
A hybrid cloud environment consisting of multiple internal and/or external providers]
will be
typical for most enterprises. A hybrid cloud can describe configuration combining a local device,
5. such as a Plug computer with cloud services. It can also describe configurations combining virtual
and physical, colocated assets²for example, a mostly virtualized environment that requires
physical servers, routers, or other hardware such as a network appliance acting as a firewall or
spam filter.
Private cloud:
Private cloud and internal cloud are neologisms that some vendors have recently used to describe
offerings that emulate cloud computing on private networks. These (typically virtualisation
automation) products claim to deliver some benefits of cloud computing without the pitfalls,
capitalising on data security, corporate governance, and reliability concerns. They have been
criticized on the basis that users still have to buy, build, and manage them and as such do not
benefit from lower up-front capital costs and less hands-on management[
, essentially [lacking]
the economic model that makes cloud computing such an intriguing concept.
While an analyst predicted in 2008 that private cloud networks would be the future of corporate
IT, there is some uncertainty whether they are a reality even within the same firm. Analysts also
claim that within five years a huge percentage of small and medium enterprises will get most
of their computing resources from external cloud computing providers as they will not have
economies of scale to make it worth staying in the IT business or be able to afford private clouds.
Analysts have reported on Platform's view that private clouds are a stepping stone to external
clouds, particularly for the financial services, and that future datacenters will look like internal
clouds.
The term has also been used in the logical rather than physical sense, for example in reference to
platform as a service offerings, though such offerings including Microsoft's
Azure Services Platform are not available for on-premises deployment.
How does cloud computing work?
6. Supercomputers today are used mainly by the military, government intelligence agencies,
universities and research labs, and large companies to tackle enormously complex
calculations for such tasks as simulating nuclear explosions, predicting climate change, designing
airplanes, and analyzing which proteins in the body are likely to bind with potential new drugs.
Cloud computing aims to apply that kind of power²measured in the tens of trillions of
computations per second²to problems like analyzing risk in financial portfolios, delivering
personalized medical information, even powering immersive computer games, in a way that users
can tap through the Web. It does that by networking large groups of servers that often use
low-cost consumer PC technology, with specialized connections to spread data-processing
chores across them. By contrast, the newest and most powerful desktop PCs process only about
3 billion computations a second. Let's say you're an executive at a large corporation. Your
particular responsibilities include making sure that all of your employees have the right
hardware and software they need to do their jobs. Buying computers for everyone isn't
enough -- you also have to purchase software or software licenses to give employees the tools
they require. Whenever you have a new hire, you have to buy more software or make sure
your current software license allows another user. It's so stressful that you find it difficult to go.
7. A typical cloud computing system
Soon, there may be an alternative for executives like you. Instead of installing a suite of
software for each computer, you'd only have to load one application. That application would
allow workers to log into a Web-based service which hosts all the programs the user would
need for his or her job. Remote machines owned by another company would run everything
from e-mail to word processing to complex data analysis programs. It's called cloud computing,
and it could change the entire computer industry.
In a cloud computing system, there's a significant workload shift. Local computers no longer have
to do all the heavy lifting when it comes to running applications. The network of computers that
make up the cloud handles them instead. Hardware and software demands on the user's side
decrease. The only thing the user's computer needs to be able to run is the cloud computing
system's interface software, which can be as simple as a Web browser, and the cloud's network
takes care of the rest.
There's a good chance you've already used some form of cloud computing. If you have an
e-mail account with a Web-based e-mail service like Hotmail, Yahoo! Mail or Gmail, then you've
had some experience with cloud computing. Instead of running an e-mail program on your
computer, you log in to a Web e-mail account remotely. The software and storage for your
account doesn't exist on your computer -- it's on the service's computer cloud.
SEVEN TECHNICAL SECURITY BENEFITS OF THE CLOUD:
8. 1. CENTRALIZED DATA:
y Reduced Data Leakage: this is the benefit I hear most from Cloud providers - and in my
view they are right. How many laptops do we need to lose before we get this? How many
backup tapes? The data ³landmines´ of today could be greatly reduced by the Cloud
as thin client technology becomes prevalent. Small, temporary caches on handheld devices
or Netbook computers pose less risk than transporting data buckets in the form of laptops.
Ask the CISO of any large company if all laptops have company µmandated¶ controls
consistently applied; e.g. full disk encryption. You¶ll see the answer by looking at the
whites of their eyes. Despite best efforts around asset management and endpoint security
we continue to see embarrassing and disturbing misses. And what about SMBs? How many
use encryption for sensitive data, or even have a data classification policy in place?
y Monitoring benefits: central storage is easier to control and monitor. The flipside is
the nightmare scenario of comprehensive data theft. However, I would rather spend my time
as a security professional figuring out smart ways to protect and monitor access to data
stored in one place (with the benefit of situational advantage) than trying to figure out
all the places where the company data resides across a myriad of thick clients! You can get
the benefits of Thin Clients today but Cloud Storage provides a way to centralize the data
faster and potentially cheaper. The logistical challenge today is getting Terabytes of data to
the Cloud in the first place.
2. INCIDENT RESPONSE / FORENSICS:
y Forensic readiness: with Infrastructure as a Service (IaaS) providers, I can build a
dedicated forensic server in the same Cloud as my company and place it offline, ready for
use when needed. I would only need pay for storage until an incident happens and I need to
bring it online. I don¶t need to call someone to bring it online or install some kind of
remote boot software - I just click a button in the Cloud Providers web interface. If I have
9. multiple incident responders, I can give them a copy of the VM so we can distribute the
forensic workload based on the job at hand or as new sources of evidence arise and need
analysis. To fully realise this benefit, commercial forensic software vendors would
need to move away from archaic, physical dongle based licensing schemes to a network
licensing model.
y Decrease evidence acquisition time: if a server in the Cloud gets compromised (i.e.
broken into), I can now clone that server at the click of a mouse and make the cloned
disks instantly available to my Cloud Forensics server. I didn¶t need to ³find´ storage
or have it ³ready, waiting and unused´ - its just there.
y Eliminate or reduce service downtime: Note that in the above scenario I
didn¶t have to go tell the COO that the system needs to be taken offline for
hours whilst I dig around in the RAID Array hoping that my physical
acqusition toolkit is compatible (and that the version of RAID firmware isn¶t
supported by my forensic software). Abstracting the hardware removes a
barrier to even doing forensics in some situations.
y Decrease evidence transfer time: In the same Cloud, bit fot bit copies are
super fast - made faster by that replicated, distributed file system my Cloud
provider engineered for me. From a network traffic perspective, it may even
be free to make the copy in the same Cloud. Without the Cloud, I would have
to a lot of time consuming and expensive provisioning of physical devices. I
only pay for the storage as long as I need the evidence.
y Eliminate forensic image verification time: Some Cloud Storage
implementations expose a cryptographic checksum or hash. For example,
Amazon S3 generates an MD5 hash automagically when you store an object.
In theory you no longer need to generate time-consuming MD5 checksums
using external tools - it¶s already there.
y Decrease time to access protected documents: Immense CPU power opens
some doors. Did the suspect password protect a document that is relevant to
the investigation? You can now test a wider range of candidate passwords in
less time to speed investigations.
3. PASSWORD ASSURANCE TESTING (AKA CRACKING):
y Decrease password cracking time: if your organization regularly tests
password strength by running password crackers you can use Cloud Compute
to decrease crack time and you only pay for what you use. Ironically, your
cracking costs go up as people choose better passwords ;-).
y Keep cracking activities to dedicated machines: if today you use a
distributed password cracker to spread the load across non-production
machines, you can now put those agents in dedicated Compute instances - and
thus stop mixing sensitive credentials with other workloads.
10. 4. LOGGING:
y ³Unlimited´, pay per drink storage: logging is often an afterthought,
consequently insufficient disk space is allocated and logging is either non-existant
or minimal. Cloud Storage changes all this - no more µguessing¶ how much
storage you need for standard logs.
y Improve log indexing and search: with your logs in the Cloud you can leverage
Cloud Compute to index those logs in real-time and get the benefit of instant
search results. What is different here? The Compute instances can be plumbed in
and scale as needed based on the logging load - meaning a true real-time view.
y Getting compliant with Extended logging: most modern operating systems offer
extended logging in the form of a C2 audit trail. This is rarely enabled for fear of
performance degradation and log size. Now you can µopt-in¶ easily - if you are
willing to pay for the enhanced logging, you can do so. Granular logging makes
compliance and investigations easier.
5. IMPROVE THE STATE OF SECURITY SOFTWARE
(PERFORMANCE):
y Drive vendors to create more efficient security software: Billable CPU
cycles get noticed. More attention will be paid to inefficient processes; e.g.
poorly tuned security agents. Process accounting will make a comeback as
customers target µexpensive¶ processes. Security vendors that understand how
to squeeze the most performance from their software will win.
6. SECURE BUILDS:
y Pre-hardened, change control builds: this is primarily a benefit of
virtualization based Cloud Computing. Now you get a chance to start ¶secure¶
(by your own definition) - you create your Gold Image VM and clone away.
There are ways to do this today with bare-metal OS installs but frequently
these require additional 3rd party tools, are time consuming to clone or add yet
another agent to each endpoint.
y Reduce exposure through patching offline: Gold images can be kept up
securely kept up to date. Offline VMs can be conveniently patched ³off´ the
network.
y Easier to test impact of security changes: this is a big one. Spin up a copy of
your production environment, implement a security change and test the impact
at low cost, with minimal startup time. This is a big deal and removes a major
barrier to µdoing¶ security in production environments.
7. SECURITY TESTING:
y Reduce cost of testing security: a SaaS provider only passes on a portion of
their security testing costs. By sharing the same application as a service, you
don¶t foot the expensive security code review and/or penetration test. Even
with Platform as a Service (PaaS) where your developers get to write code,
there are potential cost economies of scale (particularly around use of code
scanning tools that sweep source code for security weaknesses).
11. Adoption fears and strategic innovation opportunities
Adoption-fears
Security: Many IT executives make decisions based on the perceived security risk
instead of the real security risk. IT has traditionally feared the loss of control for SaaS
deployments based on an assumption that if you cannot control something it must be
unsecured. I recall the anxiety about the web services deployment where people got
really worked up on the security of web services because the users could invoke an
internal business process from outside of a firewall.
The IT will have to get used to the idea of software being delivered outside from a
firewall that gets meshed up with on-premise software before it reaches the end user.
The intranet, extranet, DMZ, and the internet boundaries have started to blur and this
indeed imposes some serious security challenges such as relying on a cloud vendor
for the physical and logical security of the data, authenticating users across firewalls
by relying on vendor's authentication schemes etc., but assuming challenges as fears is
not a smart strategy.
Latency: Just because something runs on a cloud it does not mean it has latency. My
opinion is quite the opposite. The cloud computing if done properly has opportunities
to reduce latency based on its architectural advantages such as massively parallel
processing capabilities and distributed computing. The web-based applications in
early days went through the same perception issues and now people don't worry about
latency while shopping at Amazon.com or editing a document on Google docs served
to them over a cloud. The cloud is going to get better and better and the IT has no
strategic advantages to own and maintain the data centers. In fact the data centers are
easy to shut down but the applications are not and the CIOs should take any and all
opportunities that they get to move the data centers away if they can.
SLA: Recent Amazon EC2 meltdown and RIM's network outage created a debate
around the availability of a highly centralized infrastructure and their SLAs. The real
problem is not a bad SLA but lack of one. The IT needs a phone number that they can
call in an unexpected event and have an up front estimate about the downtime to
manage the expectations. May be I am simplifying it too much but this is the crux of
the situation. The fear is not so much about 24x7 availability since an on-premise
system hardly promises that but what bothers IT the most is inability to quantify the
impact on business in an event of non-availability of a system and set and manage
expectations upstream and downstream. The non-existent SLA is a real issue and I
believe there is a great service innovation opportunity for ISVs and partners to help
CIOs with the adoption of the cloud computing by providing a rock solid SLA and
transparency into the defect resolution process.
Strategic innovation opportunities
Seamless infrastructure virtualization:
If you have ever attempted to connect to Second Life behind the firewall you would
know that it requires punching few holes into the firewall to let certain unique
transports pass through and that's not a viable option in many cases. This is an intra-
infrastructure communication challenge. I am glad to see IBM's attempt to create a
virtual cloud inside firewall to deploy some of the regions of the Second Life with
seamless navigation in and out of the firewall. This is a great example of a single sign
12. on that extends beyond the network and hardware virtualization to form infrastructure
virtualization with seamless security.
Hybrid systems: The IBM example also illustrates the potential of a hybrid system
that combines an on-premise system with remote infrastructure to support seamless
cloud computing. This could be a great start for many organizations that are on the
bottom of the S curve of cloud computing adoption. Organizations should consider
pushing non-critical applications on a cloud with loose integration with on-premise
systems to begin the cloud computing journey and as the cloud infrastructure matures
and some concerns are alleviated IT could consider pushing more and more
applications on the cloud. Google App Engine for cloud computing is a good example
to start creating applications on-premise that can eventually run on Google's cloud and
Amazon's AMI is expanding day-by-day to allow people to push their applications on
Amazon's cloud. Here is a quick comparison of Google and Amazon in their cloud
computing efforts. Elastra's solution to deploy EnterpriseDB on the cloud is also a
good example of how organizations can outsource IT on the cloud.
BENEFITS:
Cloud computing infrastructures can allow enterprises to achieve more efficient use of their
IT Hardware and software investments. They do this by breaking down the physical
inherent in isolated systems, and automating the management of the group of systems as a
single entity.
Cloud computing is an example of an ultimately virtualized system, and a natural evolution
for Data centers that employ automated systems management, workload balancing, and virtualization
technologies. A cloud infrastructure can be a cost efficient model for delivering information services
Application:
A cloud application leverages cloud computing in software architecture, often eliminating the need
to install and run the application on the customer's own computer, thus alleviating the burden of
software maintenance, ongoing operation, and support. For example:
y Peer-to-peer / volunteer computing (BOINC, Skype)
y Web applications (Webmail, Facebook, Twitter, YouTube, Yammer)
y Security as a service (MessageLabs, Purewire, ScanSafe, Zscaler)
y Software as a service (Google Apps, Salesforce,Nivio,Learn.com, Zoho, BigGyan.com)
y Software plus services (Microsoft Online Services)
y Storage [Distributed]
o Content distribution (BitTorrent, Amazon CloudFront)
o Synchronisation (Dropbox, Live Mesh, SpiderOak, ZumoDrive
CONCLUSION:
In my view, there are some strong technical security arguments in favour of Cloud
Computing - assuming we can find ways to manage the risks. With this new paradigm
come challenges and opportunities. The challenges are getting plenty of attention -
13. I¶m regularly afforded the opportunity to comment on them, plus obviously I cover
them on this blog. However, lets not lose sight of the potential upside.
Some benefits depend on the Cloud service used and therefore do not apply across the
board. For example; I see no solid forensic benefits with SaaS. Also, for space
reasons, I¶m purposely not including the µflip side¶ to these benefits, however if you
read this blog regularly you should recognise some.
We believe the Cloud offers Small and Medium Businesses major potential security
benefits. Frequently SMBs struggle with limited or non-existent
in-house INFOSEC resources and budgets. The caveat is that the Cloud market is still
very new - security offerings are somewhat foggy - making selection tricky. Clearly,
not all Cloud providers will offer the same security.
REFERENCES:
Web guild.org
http://www.webguild.org/
How stuff works.com
http://communication.howstuffworks.com/
Cloud security.org
http://cloudsecurity.org
IBM
http://www.ibm.com/developerworks/websphere/zones/hipods/
Google suggest
http://www.google.com/webhp?complete=1hl=en