The document discusses the importance of achieving visibility at the edge through data collection from APIs to gain insights about app performance and business impact. It highlights the need for a comprehensive data approach that combines API data with contextual data for better analytics and decision-making. Organizational challenges and the necessity of involving people in the insights process are also mentioned.

1. Visibility at the Edge –
Deep Insights from your APIs
03.01.12 @ 11:05 PST
VOIP or Dial-in (see chat)
groups.google.com/group/api-craft
Anant Jhingran @jhingran
Brian Pagano @brianpagano

2. Your hosts

3. @jhingran @brianpagano

4. groups.google.com/group/api-craft

5. youtube.com/apigee
5

6. Visibility at the Edge –
Deep Insights from your APIs

7. What do you mean by visibility at the edge?

8. Clearly, to get such visibility, we have to collect lots
of data.
Before we go to the data part of it, can you give
examples of what such visibility might tell us?

9. API Value Chain
App Developer API Team Ops Business Owner
How are my apps How is my API What is the response What bottom-line
performing? adoption? time per request? impact are APIs having
in my business?
How can I see across How can I improve Do I need to allocate
all APIs I’m using? my API? more resources at How should I invest in
peak times? my API strategy for the
How do the APIs we greatest return?
consume impact our
business?

10. Good examples.
What’s needed to make this happen?

11.  data from the APIs
 analytics that model and predict the business and
operational metrics
Q: Can you elaborate on data that adds context?

12. 360° Data View Creates Business Insights
Insights

13. API Data + Context Data
Does this combination lead us to a BIG DATA solution?

14. It is one thing to keep all the data, it is quite another to gain
insights from it.
I have seen many examples of enterprises saying
. . . let's first store it, we'll worry about its uses later.
Is that a good strategy?

15. This sounds frightfully difficult.
Are there some easy onramps to this?

16. It is one thing to run beautiful analytics on the data.
Is that sufficient to affect the business?

17. Data + Analytics + People Insights

18. What are the organizational challenges in succeeding here ?

19. THANK YOU
Questions and ideas to:
@jhingran
@brianpagano
groups.google.com/group/api-craft