The document discusses different types of cloud infrastructure: private, public, and community. Private cloud infrastructure is operated solely for one organization, which may manage it themselves or use a third party, and it may exist on or off premises. Community cloud infrastructure is shared by several organizations within a specific community and supports shared concerns. Hybrid cloud infrastructure combines two or more cloud types that remain separate entities but are connected through technology enabling application portability. Public cloud infrastructure is available to the general public and owned by an organization selling cloud services.
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud Computing for college presenation project.Mahesh Tibrewal
This presentation I've made on Cloud computing can be used by students for their college projects. I've tried to make this as colourful and attractive as possible without losing the relevance with the topic.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
What is Cloud Computing
virtualization
Cloud Networking
Cloud networking (and Cloud based networking) is a term describing the access of networking resources from a centralized third-party provider using Wide Area Networking (WAN) or Internet-based access technologies.
Cloud networking is related the concept of cloud computing, in which centralized computing resources are shared for customers or clients. In cloud networking, the network can be shared as well as the computing resources. It has spurred a trend of pushing more network management functions into the cloud, so that fewer customer devices are needed to manage the network.
This is a literature survey about security issues and countermeasures on cloud computing. This paper discusses about an overview of cloud computing and security issues of cloud computing.
Cloud computing and Cloud Security - Basics and TerminologiesTechsparks
Cloud Computing is a new trending field these days and is an Internet-based service. It is based on the concept of virtualization.
http://www.techsparks.co.in
Introduction
Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics and more—over the Internet (“the cloud”).
It is a paradigm that allows on-demand network access to shared computing resources. A model for managing, storing and processing data online via the internet.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Cloud computing
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13. The Cloud infrastructure
is operated solely for an
organization.
It may be managed by
the organization or the
third party and may
exists on premises or off
premises.
The cloud infrastructure
is shared by several
organization and
supports a specific
community that has
shared concern.
The cloud infrastructure
is composition of two or
more cloud(private,
public, community) that
remain unique entities
but are bound together
by standardized or
proprietary technology
that enables and
application portability.
The cloud infrastructure
is made available to
general public or a large
industry group and is
owned by an
organization selling cloud
services.
14.
15. Infrastructure as a service are online services that provide high-
level APIs used to dereference various low-level details of
underlying network infrastructure like physical computing
resources, location, data partitioning, scaling, security, backup etc.
Usually billed based on usage
Usually multi tenant virtualized environment
Can be coupled with Managed Services for OS and application
support
16.
17. Platform as a Service or Application Platform as a Service or platform-
based service is a category of cloud computing services that provides a
platform allowing customers to develop, run, and manage.
Typically applications must be developed with a particular platform in
mind:-
Multi tenant environment
Highly scalable multi tier architecture
18.
19. Software as a service (SaaS) is a software distribution model in which a
third-party provider hosts applications and makes them available to
customers over the Internet. SaaS is one of three main categories of cloud
computing, alongside infrastructure as a service (IaaS) and platform as a
service (PaaS).
Usually billed on usage
Usually multi tenant environment
Highly scalable architecture