API Management and Hybrid Integration

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Bill will be discussing and demonstrating how API Management can be the base for your Hybrid Integration design and how the feature of API Management will make your hybrid integration scenarios better.

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Sponsored & Brought to you by
API Management and Hybrid Integration
Bill Chesnut
http://www.twitter.com/biztalkbill
https://au.linkedin.com/in/billchesnut

API Management and
Hybrid Integration
Bill Chesnut
Cloud Platform & API Evangelist, SixPivot
Azure MVP

Agenda
 Introduction to Azure API Management (APIM)
 Hybrid Integration Scenarios
 Using Azure API Management for Hybrid Integration
 Summary

Feature of APIM
 Re-Use of Services
 Authentication and Authorization
 Policies
 Caching
 URL Re-Write
 Payload manipulation
 Throttling
 Reporting
 Developer Portal
 CI & CD

Authentication & Authorization
 Identities
 Client certificates
 Delegation
 OAuth 2.0
 OpenID Connect

APIM Policies
 Inbound
 Backend
 Outbound
 On-Error

Reporting
 Dashboard
 Analytics
 Usage
 Health
 Activity

Developer Portal
 APIS
 Products
 Blog
 Issues

CI &CD
 GIT Repository
 Moving to other envirnoments

Hybrid Integration Scenarios
 Central View of All Services/APIs
 Accessing On-Premises Resources
 Combining Cloud and On-Premises Resources
 Transitioning from On-Premises to Cloud
 Pre-Processing in Cloud then On-Premises

Using Azure API Management
for Hybrid Integration

Using APIM for Hybrid Integration
 Exposing JSON from XML Services
 Standard Authentication and Authorization for All Services
 Transitioning from On-Premised to Cloud
 VPN / Express Route
 Consistent Endpoints and Verbs
 Leveraging Azure Functions
 Leveraging Logic Apps

Summary
 Why APIM
 Using APIM for Hybrid Integration
 What Problems we solve with APIM for Hybrid Integration
 Next Steps

Contact Details
 Email: bill@sixpivot.com.au or bill@biztalkbill.com
 Blog: http://www.biztalkbill.com
 Twitter: @biztalkbill
 LinkedIn: billchesnut

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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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API Management and Hybrid Integration

1. Sponsored & Brought to you by API Management and Hybrid Integration Bill Chesnut http://www.twitter.com/biztalkbill https://au.linkedin.com/in/billchesnut

2. API Management and Hybrid Integration Bill Chesnut Cloud Platform & API Evangelist, SixPivot Azure MVP

3. Agenda  Introduction to Azure API Management (APIM)  Hybrid Integration Scenarios  Using Azure API Management for Hybrid Integration  Summary

4. Introduction to Azure API Management

5. Feature of APIM  Re-Use of Services  Authentication and Authorization  Policies  Caching  URL Re-Write  Payload manipulation  Throttling  Reporting  Developer Portal  CI & CD

6. Demo APIM Getting Started

7. Authentication & Authorization  Identities  Client certificates  Delegation  OAuth 2.0  OpenID Connect

8. APIM Policies  Inbound  Backend  Outbound  On-Error

9. Demo APIM Policies

10. Reporting  Dashboard  Analytics  Usage  Health  Activity

11. Demo Reporting

12. Developer Portal  APIS  Products  Blog  Issues

13. Demo Developer Portal

14. CI &CD  GIT Repository  Moving to other envirnoments

15. Demo CI & CD

16. Hybrid Integration Scenarios

17.

18. Hybrid Integration Scenarios  Central View of All Services/APIs  Accessing On-Premises Resources  Combining Cloud and On-Premises Resources  Transitioning from On-Premises to Cloud  Pre-Processing in Cloud then On-Premises

19. Using Azure API Management for Hybrid Integration

20. Using APIM for Hybrid Integration  Exposing JSON from XML Services  Standard Authentication and Authorization for All Services  Transitioning from On-Premised to Cloud  VPN / Express Route  Consistent Endpoints and Verbs  Leveraging Azure Functions  Leveraging Logic Apps

21. Summary

22. Summary  Why APIM  Using APIM for Hybrid Integration  What Problems we solve with APIM for Hybrid Integration  Next Steps

23. Contact Details  Email: bill@sixpivot.com.au or bill@biztalkbill.com  Blog: http://www.biztalkbill.com  Twitter: @biztalkbill  LinkedIn: billchesnut

24. Thank You

API Management and Hybrid Integration

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