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When building a large enough set of services using node.js, there will be a point when you find that your application is suffering from performance or memory issues. When this happens, you have to roll up your sleeves, get your tools and start digging. This talk explains how you can use tools such as ab, flame graphs, heap snapshots and Chrome's memory inspector to find the cause of these. We will go over two real life issues, a CPU bottleneck and a memory leak, we found while building our services at Auth0, and also explain how we fixed them.
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Each year, Tulane's Freeman School of Business has each senior enter a case competition as part of the capstone course. Our group,Team Orion, won first place in the fall of 2011 with our analysis of Hubspot. Group members: Evan Nicoll, Jessica Lange, Connor Dismer (me), and Lloyd Walker
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When building a large enough set of services using node.js, there will be a point when you find that your application is suffering from performance or memory issues. When this happens, you have to roll up your sleeves, get your tools and start digging. This talk explains how you can use tools such as ab, flame graphs, heap snapshots and Chrome's memory inspector to find the cause of these. We will go over two real life issues, a CPU bottleneck and a memory leak, we found while building our services at Auth0, and also explain how we fixed them.
Real-Life Node.js Troubleshooting - Damian Schenkelman, Auth0
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Each year, Tulane's Freeman School of Business has each senior enter a case competition as part of the capstone course. Our group,Team Orion, won first place in the fall of 2011 with our analysis of Hubspot. Group members: Evan Nicoll, Jessica Lange, Connor Dismer (me), and Lloyd Walker
Hubspot Case Presentation - First Place
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A case analysis of Hubspot by my team members and I.
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An example of a strategic analysis of a company: using Hubspot Inc. this presentation reviews the company's external and internal environments; employs the resource based view of the firm (RBV) and analyses competitive advantage and potential sustainability and strategic leadership of the company by innovators Halligan and Shah. Logo and images of founders from Hubspot website, with full rights to images owned by them, http://www.hubspot.com/internet-marketing-company/press-room.
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This presentation was originally presented at Cloud Connect 2012 - Chicago ------ Building a large-scale OpenStack public cloud is no easy task. Even harder, how to do you keep it up to date with a rapidly growing community with hundreds of lines of code added daily? Come hear Rackspace Developer Advocate Wayne Walls discuss the importance of staying agile while maintaining a public cloud comprising of thousands of users. He will discuss open API integration into the business, continuous integration, and other practices that will allow your organization to roll to production faster.
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Cloud orchestration stacks are an important component in completing the move to a private cloud. In this rapid fire session, speakers representing key cloud orchestration stacks will have 10 minutes each to present their responses to key questions about the functions, features and capabilities of each cloud stack. Questions include: services and capabilities offered; languages, operating systems, APIs and image formats supported; virtualization stacks supported; management tools; portability; hardware, capacity, performance and availability constraints, pricing and more. Presentations will be followed by an open Q and A discussion. This presentation covers the OpenStack cloud stack.
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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
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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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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
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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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Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
HubSpot Case Study
1.
CASE STUDIES Wednesday, August
21, 13
2.
HubSpot’s ROCKET SHIP Wednesday,
August 21, 13
3.
HubSpot’s ROCKET SHIP Wednesday,
August 21, 13
4.
Wednesday, August 21,
13
5.
Wednesday, August 21,
13
6.
2% Public Cloud Instances Fail OPERATIONAL
COSTS MATTER Wednesday, August 21, 13
7.
2% 20% Public Cloud Instances
Fail Instance Turnover OPERATIONAL COSTS MATTER Wednesday, August 21, 13
8.
99.99% WE NEEDED MORE
RELIABILITY Target Up Time Wednesday, August 21, 13
9.
Wednesday, August 21,
13
10.
Wednesday, August 21,
13
11.
Wednesday, August 21,
13
12.
Wednesday, August 21,
13
13.
BETTING ON Wednesday, August
21, 13
14.
Diablo 9 11/2011 108 Cores 0.9TB RAM BETTING
ON Wednesday, August 21, 13
15.
Diablo Essex 169 11/2011 8/2012 108
Cores 0.9TB RAM 224 Cores 1.8TB RAM BETTING ON Wednesday, August 21, 13
16.
Diablo Essex Folsom 166169 11/2011
8/2012 1/2013 108 Cores 0.9TB RAM 224 Cores 1.8TB RAM 2004 Cores 21TB RAM BETTING ON Wednesday, August 21, 13
17.
GRIZZLY Wednesday, August 21,
13
18.
Public Cloud Wednesday, August
21, 13
19.
Private CloudPublic Cloud + Wednesday,
August 21, 13
20.
Private CloudPublic Cloud
Bare Metal + + Wednesday, August 21, 13
21.
Image Parity Wednesday, August
21, 13
22.
Wednesday, August 21,
13
23.
Bare- metalPublic Private Wednesday, August
21, 13
24.
EFFICIENCY! Wednesday, August 21,
13
25.
4x INCREASE IN EFFICIENCY Efficiency in
the Same Workloads Wednesday, August 21, 13
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