Uri Budnik Stories From The Trenches

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Stories from the Trenches ,[object Object],[object Object],CloudCamp Frankfurt, September 2009

[object Object],[object Object],[object Object],[object Object]

Multi-Cloud Management Platform RightScale Grid MySQL MGR AUTOMATION ARCHITECTURE CLOUD-READY SOLUTIONS EXPERTISE & SUPPORT RightScripts Web Site Cloud Applications Amazon US & EU Sun Rackspace GoGrid Other Clouds FlexiScale Eucalyptus

Automation with Control & Transparency

Predictions Cost Money Infrastructure Cost $ Time Large Capital Expenditure Opportunity Cost Predicted Demand Traditional Hardware Actual Demand Automated Virtualization You just lost customers

Customer Stories Who is using the cloud, and how...

Animoto, EC2 and RightScale Number of servers 4/12/2008 Launch of Facebook modification Peak of 4700 instances 4/14/2008 4/15/2008 4/16/2008 4/18/2008 4/19/2008 4/20/2008 4/17/2008 4/13/2008 Using RightScale, Animoto automatically scaled to handle a dramatic load to their application

What are you waiting for? twitter.com/rightscale cloud@ rightscale .com twitter.com/uribudnik Cloud Computing. Delivered.

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2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 정윤진 솔루션스 아키텍트가 진행한 강연입니다. 강연 요약: 웹/모바일 앱의 형태를 띤 새로운 애플리케이션을 구축해 수익화하는 것은 엔터프라이즈 기업들이 클라우드 컴퓨팅 도입의 초기에 채택하기 좋은 전략입니다. 이 세션에서는 이러한 신규 애플리케이션을 처음부터 클라우드에서 구동해 안전 설계와 고가용성, 확장성, 비용 절감 등 클라우드의 이점을 최대한으로 발휘하기 위해서는 애플리케이션을 어떻게 설계하고 개발해야 하는지에 대해 다룰 예정입니다. 종전의 설계와 플랫폼에 비해 아주 적은 시간과 비용만으로 새롭게 애플리케이션을 구축할 수 있는 방법에 대해 들어보시기 바랍니다.

AWS Enterprise Summit - 클라우드 네이티브 신규 애플리케이션 구축하기 - 정윤진

AWS Enterprise Summit - 클라우드 네이티브 신규 애플리케이션 구축하기 - 정윤진

AWS Enterprise Summit - 클라우드 네이티브 신규 애플리케이션 구축하기 - 정윤진

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WTIA Cloud Computing Series - Part II: Scaling into the Cloud with Amazon Web...

WTIA Cloud Computing Series - Part II: Scaling into the Cloud with Amazon Web...

WTIA Cloud Computing Series - Part II: Scaling into the Cloud with Amazon Web...

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AWS AWSome Day London July 2015

AWS AWSome Day London July 2015

AWS AWSome Day London July 2015

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3 2011 aws mumbai2

3 2011 aws mumbai2

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Cloud Computing

Cloud Computing

Cloud Computing

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Amazon2009 04 22 Amsterdam

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Cloud computing

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AWS Enterprise Summit - 클라우드 네이티브 신규 애플리케이션 구축하기 - 정윤진

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Último

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Uri Budnik Stories From The Trenches

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3. Multi-Cloud Management Platform RightScale Grid MySQL MGR AUTOMATION ARCHITECTURE CLOUD-READY SOLUTIONS EXPERTISE & SUPPORT RightScripts Web Site Cloud Applications Amazon US & EU Sun Rackspace GoGrid Other Clouds FlexiScale Eucalyptus

4. Automation with Control & Transparency

6. Predictions Cost Money Infrastructure Cost $ Time Large Capital Expenditure Opportunity Cost Predicted Demand Traditional Hardware Actual Demand Automated Virtualization You just lost customers

7. Customer Stories Who is using the cloud, and how...

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9. Animoto, EC2 and RightScale Number of servers 4/12/2008 Launch of Facebook modification Peak of 4700 instances 4/14/2008 4/15/2008 4/16/2008 4/18/2008 4/19/2008 4/20/2008 4/17/2008 4/13/2008 Using RightScale, Animoto automatically scaled to handle a dramatic load to their application

10. What are you waiting for? twitter.com/rightscale cloud@ rightscale .com twitter.com/uribudnik Cloud Computing. Delivered.