This document provides an introduction to cloud computing, including definitions, history, and key concepts. It discusses how cloud computing moves computing away from desktops and onto centralized servers accessed over the internet. The document outlines several industry definitions of cloud computing and discusses the evolution of computing models from distributed to centralized approaches. It also summarizes some of the main issues, opportunities, and technical aspects of cloud computing such as multi-tenancy, scalability, and service models.
UnifiedSessionsManager Application of Virtualisation and CloudComputing for Development and Runtime Systems - Embedded World 2012 Session 16:Internet Technology and M2M I
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).
UnifiedSessionsManager Application of Virtualisation and CloudComputing for Development and Runtime Systems - Embedded World 2012 Session 16:Internet Technology and M2M I
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).
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
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 is using the internet to access someone else's software running on someone else's hardware in someone else's data center.
OUTLINE-
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
A historic win for India for the first time in a triangular ODI series. This tribute is a joint production SRINI-DOINA-LUGOS (two of them from non cricketing countries!)
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
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 is using the internet to access someone else's software running on someone else's hardware in someone else's data center.
OUTLINE-
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
A historic win for India for the first time in a triangular ODI series. This tribute is a joint production SRINI-DOINA-LUGOS (two of them from non cricketing countries!)
This presentation was made by my friend P Udaya Shanker at the Hyderabad Chapter of Cost Accountants on 12 Jul 2008
To download the slideshow pl visit:
http://www.slideshare.net/udayashanker/icwai-pus-87081/
This is a presentation made out of my (SRINI) learning from the Young Orators' Club, Secunderabad, India during 1975-76. The presentation was created by my friends A Subramanian and TSP Jwalapathy
This presentation is useful for who wants to know about the basics of cloud computing and the various approaches of cloudcomputing.It also explains the various advantages/disadvantages and also the risks of cloudcomputing.
Above the Clouds: A Berkeley View of Cloud Computing: Paper Review Mala Deep Upadhaya
This slide presents a review of the paper "Above the Clouds: A Berkeley View of Cloud Computing" published on February 10, 2009.
Authors: Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia
Supported From: UC Berkeley Reliable Adaptive Distributed Systems Laboratory
Click the link below to learn more about cloud and more in Free of Cost: https://bit.ly/3hNtmBj
Need support for writing/creating paper review?
Send me a message at my LinkedIn.
Privacy Issues of Cloud Computing in the Federal SectorLew Oleinick
Presentation describing potential privacy issues of implementing cloud computing in the Federal market.
NOTE: Presentation does NOT reflect any official agency position. All views expressed are my own.
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 is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
This is about DSK. Very short and few points only. This was prepared for the team introductions. I've run this with one of my client and they liked it. Thus, sharing it for further purpose, if I have to repeat the same
This presentation is used for FDP, Faculty Development Program conducted by Lendi Institute of Engineering and Technology. Few of the diagrams are taken from internet and the respective owners have every right on those images. They can be removed, on any objection raised by the respective owners.
In this presentation, I have taken the points from the article published at Harvard Business Review https://hbr.org/2015/04/measuring-the-return-on-character
The initial play is to draw the attention of individuals, taken from the respective publisher
Finally, I have proposed a framework to understand self and the team that they are working with.
This presentation is proposing a framework to understand the quality quotient and a solution to arrive a quotient number with the help of a formula.
There are various abbreviations and definitions that have to be given extra attention to understand the cumulative value. There are various definitions across the industry but none has defined a formula to arrive at the value at a higher level. This presentation will to generate a value for the quality within a project / protfolio / program / vertical / etc.,
This presentation will explain the characters of agile in any given organisation and also categorizes the stakeholders involved in any given engagement. This presentation will help in understanding the characteristics and recommends the mechanism to handle the various situation.
Information about the architectures that were used and evolved with the time. Building blocks that define the category of any given architecture. This presentation has slides for the following.
1) n-tire architecture
2) Event Driven architecture
3) Onion Architecture
4) Clean architecture
5) Microservices architecture
How do we understand the key words in Agile world?
What key words are demanding what from customer in Agile?
This session helps in understand the verbs that are used in any conversation with either customer, client, etc.,
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
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.
2. Expertise level Using Computer for email Use computer for programmingsince 0 to 2 yrs 2 to 4 yrs 4 yrs and Above Will learn later I’m here because of my friend / philosopher / blah .. blah .. ఏదో.. టైమ్పాస్
3. What, How and Why Do I care Why do I care I don’t care .. కెరీర్ఇంకామొదలవ్వలేదు, ఇప్పుడెందుకు?
4.
5. Agenda The hype – stats Industry definitions History – a review of computing Issues that matter Origin Grid vs Cloud Details
11. .. Moving computing and data away from the desktop and the portable PC and simply displaying the results of computing that takes place in a centralized location and is then transmitted via the internet on the user's screen .. - John Makroff
12. .. a computing paradigm shift where computing is moved away from personal computers or an individual application server to a "cloud" of computers .. - Wikipedia
13. .. the idea of relayin on Web-based applications and storing data in the "cloud" of the internet - MIT Technology Review
14. .. it starts with the premise that the data services and architecture should be on servers, We call it cloud computing - they should be in a 'cloud' somewhere.. - Eric Schmidt
19. Alternatively, a “Zero-One-Infinity” definition:**0On-premise infrastructure Acquisition cost Adoption cost Support cost 1Coherent and resilient environment – not a brittle “software stack” Scalability in response to changing needIntegratability/Interoperability with legacy assets and other services Customizability/Programmability from data, through logic, up into the user interface without compromising robust multi-tenancy * Joe Weinman, Vice President of Solutions Sales, AT&T, 3 Nov. 2008 ** From The Jargon File: “Allow none of foo, one of foo, or any number of foo”
20. .. the trend towards online services that run in a web browser and store users information in a provider's data center .. - చక్రవర్తి
46. Traditional Software Purchase Purchase software Purchase hardware Create migration plan Configure systems Configure networks Find space in data center Setup development & test Configure databases More…
51. How do we make integration easier, and deliver benefits more quickly? Cloud computing is a way to make integration easier, and deliver benefits more quickly
52. integration^ Turn a commodity into a utility Necessary, but not differentiating
58. What if… we just gave IT a platform to create their own data models, interfaces, and processes on a dynamic infrastructure [that met corporate requirements] & simply existed as needed?
76. Origin “.. Comes from the early days of the Internet where we drew the network as a cloud… we didn’t care where the messages went… the cloud hid it from us” – Kevin Marks, Google First cloud around networking (TCP/IP abstraction) Second cloud around documents (WWW data abstraction) The emerging cloud abstracts infrastructure complexities of servers, applications, data, and heterogeneous platforms (“muck” as Amazon’s CEO Jeff Bezos calls it)
77. 3 Cloud Service Models Cloud Software as a Service (SaaS) Use provider’s applications over a network Cloud Platform as a Service (PaaS) Deploy customer-created applications to a cloud Cloud Infrastructure as a Service (IaaS) Rent processing, storage, network capacity, and other fundamental computing resources To be considered “cloud” they must be deployed on top of cloud infrastructure that has the key characteristics
79. 4 Cloud Deployment Models Private cloud enterprise owned or leased Community cloud shared infrastructure for specific community Public cloud Sold to the public, mega-scale infrastructure Hybrid cloud composition of two or more clouds
80. Common Cloud Characteristics Cloud computing often leverages: Massive scale Virtualization Non-stop computing Free software Geographic distribution Service oriented software Autonomic computing Advanced security technologies
96. User Interface Logic Database The technical part : Why multi-tenant matters Build strategic applications Customize any aspect Upgrade when convenient Retain IP ownership Your Clicks Your Code Metadata representations: Partitioned data, logic and customizations for multiple customers Coherent Code Base and Managed Infrastructure
97. PaaSTaxonamy : Proliferating Platforms PaaS for theInquiring Developer “Servers as a Service” PaaS as anApplication Framework UI as a Service Virtual Servers Virtual Servers Virtual Servers Logic as a Service Virtual Servers Virtual Servers Integration as a Service Python App Server Database as a Service Database as a Service Database as a Service Infrastructure as a Service Infrastructure as a Service Infrastructure as a Service ~Familiar Developer Model Rapid Scalability Offering Innovative Technology Supports Large-Scale SaaS Deep-Dyed Multitenancy
Infrastructure Integration includes networks, servers, app servers, data bases, web servers, and in my mind, even application installation. These are well defined, usually have their own staff… and they take up a large part of budget/effort, but because they are visible, for the most part, they are accounted for (time-wise). Unfortunately, as we all know, this is just the “setup”… next, you have the magic… The magic of DATA integration
This is the POINT behind all the infrastructure integration efforts. If not for teasing out information about our data in a way that’s usable, we wouldn’t do any of the other stuff. The other stuff is just necessary evil. It’s the boat ride you have to take to the dive site… it might make you queasy, but you can deal with it because once you get there, you’ll see some neat stuff.
It’s Data integration that’s hard (and expensive). And, importantly, it’s hard to explain to others, so they discount it.
This is really less of a definition, and more of putting an edge around a concept. And, that edge doesn’t fully surround the concept, only it gives it some shape.
This is not really a definition, but it does help keep our eyes on the prize and measure the success we have with it. I prefer to think of it as…
Of course, I’ve still not defined anything. Just trying to put some parameters around it. I defined integration earlier, now I’m saying turn commodity integration (defined as necessary, but not differentiating) into a utility.
Talk about thinking outside the box. If email is commodity, everything below it in the infrastructure stack is too. And, of course, this is a great example, in some cases, perhaps email is not a commodity. Perhaps there are some Outlook customizations for sales force automation, ACT plugins or whatever, that makes email a tool instead of a commodity. But, even then, it illustrates the point… using salesforce.com, and email, you want to bring that information together. The more you can do that… the more relevant IT will be. Yet, when each app is a closed silo, where the efforts are on integration rather than connectivity, it becomes a real challenge to leverage the cross-app data and relationships.
Not talking about ESB- or inter-app style messaging. I’m talking about email messaging. There are messages that are part of the conversation everywhere. But they lose context in email. Yeah, maybe there is a link back to relevant information, but it’s very very basic integration that doesn’t even server technical users well. We want to bring information together. Best example I can think of, however trivial, are those silly facebook messages that say “you have an email” but, I can’t respond, I need to go to facebook and respond. I have messages all over the place, there is no reason why Facebook, LinkedIn, Twitter, Email, Progress, and all these places have different places where I have to go and bring this information together manually.Now, this (messaging) is maybe not important to my enterprise, but other similar things are. How about, customer information. There is customer information all over the place, in the sales force automation system, in the provisioning system, in shipping, maybe in contracts administration, etc. Maybe in multiple places. It’s not just about Master Data Management, and having a uniform customer record (that’s hard too), but it is about having a view on my relationship with the customer so I can make better business decisions.
If all IT does is integrate (data and processes), it will have to become more disciplined, and there will be time to do so. I believe clouds help us get rid of the low level things IT focus on, to help us raise the bar and focus on what’s important.New classes of applications: Really more mashup-like, rapidly created, possibly with short lifespans, that help users synthesize and visualize relevant data and events so they can better execute the business. Data is no longer locked into the silo. In fact, silos simply disappear and we have a full federation of services.
This is really less of a definition, and more of putting an edge around a concept. And, that edge doesn’t fully surround the concept, only it gives it some shape.
Visibility, protect from change, service level management.
When I was working at Radianz, I was responsible for delivering a middleware layer on top of a shared network. Forget the technology. One of the big problems was around culture and contracts. If the network was up, but the middleware service was down, it was down from the customer perspective, and they’d want a refund. However, the network people were bonused on network uptime, not on middleware uptime, so they didn’t look at it the same way. Then, our customer support needed to be trained not to say “well, the network is up” to the customer, why would the customer care? It wasn’t working from their perspective. This is a hard problem, least so with respect to technology.
Security needs to change to application or message layer security. Today we rely too heavily upon network layer efforts, and frankly, it’s just not secure enough. We know that, but it’s hard to change. I believe this resistance to change will hinder cloud efforts.