From Marconi to the Future Network
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Wireless networks from the beginning have been designed and implemented to satisfy applications. This talk gives the audience an evolutionary view of the challenges, capabilities, and opportunities of networks past, present, and future.
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Do you want to scale your API program? Do you want to create new business opportunities with developers and partners? If so, monetization might be the right strategy for you.
Monetization is influencing how APIs are delivered. It provides the flexibility to generate different API consumption models for developers, and it opens opportunities to derive value from APIs, for developers and for partners.
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Watch the live demo of Apigee's API platform to learn how to:
- easily configure and manage new APIs and enforce security with minimal impact to backend services
- create, manage and monetize API products
- extend API Services to increase flexibility and tailor to business requirements with JavaScript, Java, Python, and Node.js
- provide developers easy, yet secure access to explore, test, and deploy APIs
- use end-to-end visibility across the digital value chain to monitor, measure, and manage success
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Apigee's Ed Anuff and Bala Kasiviswanathan will discuss how these forces inform and drive the Apigee product roadmap. Join Ed and Bala for a preview of how Apigee will deliver on its product goals, including a common stack that enables us to address our customers' multi-cloud opportunity. Learn how we'll help companies transition to the PaaS/cloud-native future, how we'll leverage Google's OSS presence, and how we will continue to emphasize the needs of developers.
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Walgreens at a glance
With a focus on three core customer strategies: convenience, loyalty, and extraordinary customer and patient care, Walgreens uses Apigee to: connect digital experiences directly to stores; extend its assets into innovative ecosystems and increase the value of its stores; improve the developer experience
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Learn how to deploy a lean API runtime infrastructure in your private enterprise environment while getting all the benefits of Apigee Edge API management in the cloud.
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Dive into a reference architecture that demonstrates the patterns and practices for securely connecting microservices together using Apigee Edge integration for Pivotal Cloud Foundry.
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Watch the webcast here: https://youtu.be/ETT6WP-3me0
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This document discusses microservices and keys to microservices success. It defines microservices as independently deployable services that work together. Microservices allow for agility, reuse, and productivity. The document outlines how enterprises are adopting microservices with containers, registries, auto-scaling and blue/green deployments. It emphasizes that REST APIs are a key ingredient for microservices success by enabling consumption and shielding consumers from complexity. The document also notes that microservices will fail without API management for issues like API sprawl, security threats and lack of visibility. It positions Apigee as providing the API layer and management capabilities needed for successful microservices.
Adapt or Die: Opening Keynote with Chet Kapoor
Google has invested $27 billion in data centers worldwide since 2014 to build the world's fastest and most powerful cloud infrastructure. In 2016, Google Cloud Platform experienced 36% year-over-year growth in bookings, a 50% increase in net customer count, and over 90 new features shipped. Google processes over 1 billion API calls per day and saw 58% year-over-year growth in Black Friday traffic.
Adapt or Die: Keynote with Greg Brail
The document summarizes what Google learned over 10+ years of building cloud infrastructure and services, including embracing assumptions of running everything in the cloud, redundancy across data centers, and eventual consistency. It discusses trends that emerged like containers, microservices, serverless computing, and security becoming even more important. The key lessons are to not compromise on developer productivity, be open to alternatives but cautious of blindly following trends, and that security can never be too careful.
Adapt or Die: Keynote with Anant Jhingran
AI and machine learning are rapidly being applied across many domains:
- Neural networks can learn complex patterns from large amounts of data and be applied to tasks like image recognition and machine translation.
- Google has incorporated deep learning into many of its products from Google Photos for image identification to Smart Reply in Gmail.
- As APIs for vision, translation, and other tasks become available, they will deeply impact developers and applications by embedding intelligence.
London Adapt or Die: Opening Keynot
Google has invested $27 billion in data centers worldwide since 2014 to build the world's fastest and most powerful cloud infrastructure. In 2016, Google Cloud Platform experienced 36% year-over-year growth in bookings, a 50% increase in net customer count, and over 90 new features shipped. Google processes over 1 billion API calls per day and saw 58% year-over-year growth in Black Friday traffic.
London Adapt or Die: Lunch keynote
The document summarizes what Google learned over 10+ years of building cloud infrastructure and services, including embracing assumptions of running everything in the cloud, redundancy across data centers, and eventual consistency. It discusses trends that emerged like containers, microservices, serverless computing, and security becoming even more important. The key lessons are to not compromise on developer productivity, be open to alternatives but cautious of blindly following trends, and that security can never be too careful.
London Adapt or Die: Closing Keynote — Adapt Now!
Artificial intelligence is already having a major impact and there are even more possibilities ahead. AI is improving lives in many areas such as healthcare, education, transportation and more. While AI brings benefits, it also presents challenges that must be addressed regarding jobs, safety, ethics and more to help ensure AI's development and use improves life for all.
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From Marconi to the Future Network
- 2. From Marconi to the Future Network Dick Lynch
- 7. Mobile Telephone Service MTS – 1946 • 3 channels • Voice only • Metro coverage with one site
- 8. Improved Mobile Telephone Service IMTS - 1964 • • • • 25 channels Voice only Direct-Dial Service Metro coverage with one/few sites
- 9. Advanced Mobile Phone Service “1G” - 1983 • • • • 333 * 2 channels Voice centric Modems Cell site coverage
- 10. “Cellular” Meeting Demand for Capacity and Quality –Marconi’s Law –Shannon’s Theorem
- 11. The March of the “G”s More Capacity + More Quality = BUT Not Enough Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017 - Cisco Systems Figure 1. Cisco Forecasts 11.2 Exabytes per Month of Mobile Data Traffic by 2017 2G – 1991 2.5G – 1993 3G – 2001 4G – 2009 The Asia Pacific and North America regions will account for almost two-thirds of global mo East and Africa will experience the highest CAGR of 77 percent, increasing 17.3-fold over
- 12. Spectrum-Expansion Relief • More Spectrum Allocations • White Space
- 13. A Big Step Toward Filling The Gap
- 15. LTE - Advanced
- 17. LTE + WiFi Interop Public Internet Private IP nets EPC SCGW BS BS BS
- 18. The Future Network • Will do what every predecessor network has done = satisfy applications BUT • You will take the network and app with you. Cloud Services
- 20. Digital Health
- 21. Connected Car
- 22. Thank you
- 24. We would love your feedback! Don’t forget to fill out the session’s survey – found in the session details on the conference app #iloveapis