Pricing APIs: Pricing Sucks, Here's What We Did (Gluecon 2010)
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ºÝºÝߣs from "Pricing APIs: Pricing Sucks, Here's What We Did" as delivered at Gluecon 2010. also: Taking Pleasure in Merton's Law of Unintended Consequences.
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ÖvŽŸ£ºPaul Yung, Head of Territory Business Development - HKT, AWS[Capitole du Libre] #serverless - ? mettez-le en oeuvre dans votre entreprise...![[Capitole du Libre] #serverless - ? mettez-le en oeuvre dans votre entreprise...](https://cdn.slidesharecdn.com/ss_thumbnails/capitoledulibre2018serverless-181120135943-thumbnail.jpg?width=560&fit=bounds)
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Tout comme le Cloud IaaS avant lui, le serverless promet de faciliter le succ¨¨s de vos projets en acc¨¦l¨¦rant le Time to Market et en fluidifiant les relations entre Devs et Ops.
Mais sa mise en ?uvre au sein d¡¯une entreprise reste complexe et co?teuse.
Apr¨¨s 2 ans ¨¤ mettre en place des plateformes manag¨¦es de ce type, nous partagons nos exp¨¦riences de ce qu¡¯il faut faire pour mettre en ?uvre du serverless en entreprise, en ¨¦vitant les douleurs et en limitant les contraintes au maximum.
Tout d¡¯abord l¡¯architecture technique, avec 2 impl¨¦mentations tr¨¨s diff¨¦rentes : Kubernetes et Helm d¡¯un c?t¨¦, Clever Cloud on-premise de l¡¯autre.
Ensuite, la mise en place et l¡¯utilisation d¡¯OpenFaaS. Comment tester et versionner du Function as a Service. Mais aussi les probl¨¦matiques de blue/green deployment, de rolling update, d¡¯A/B testing. Comment diagnostiquer rapidement les d¨¦pendances et les communications entre services.
Enfin, en abordant les sujets chers ¨¤ la production : * vulnerability management et patch management, * h¨¦t¨¦rog¨¦n¨¦?t¨¦ du parc, * monitoring et alerting, * gestion des stacks obsol¨¨tes, etc.IMC Summit 2016 Breakout - Aleksandar Seovic - The Illusion of Statelessness
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While everyone is talking about ¡®stateless¡¯ services as a way to achieve scalability and high availability, the truth is that they are about as real as the unicorns. Building applications and services that way simply pushes the problem further down the stack, which only makes it worse and more difficult to solve (although, on the upside, it might make it somebody else¡¯s problem). This is painfully obvious when building microservices, where each service must truly own its state.
The reality is that you don¡¯t need ¡®stateless¡¯ services to either scale out or be fault tolerant ¡ª what you really need is a scalable, fault tolerant state management solution that you can build your services around.
In this talk we will discuss how some of the popular microservices frameworks are tackling this problem, and will look at technologies available today that make it possible to build scalable, highly available systems without ¡®stateless¡¯ service layers, whether you are building microservices or good ol¡¯ monoliths.Cloud Native: Designing Change-tolerant Software
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Cloud-native applications are characterized by highly distributed topologies consisting of many relatively small components (yup, usually called microservices). But the thing that sets them apart from the previous generation of apps is that they are expected to function flawlessly even while the environment they are running in is constantly changing, or even failing. All of this requires applying a new set of design patterns and practices and this session will introduce the key ones. The Twelve Factor App (12factor.net) is a high-level articulation of some of these techniques that you may well have heard of, but its descriptions are relatively dense and the industry knowledge has evolved a fair bit since its publication.
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- 2. @cloudvox Clue over Time - Perceived
- 3. @cloudvox Clue over Time - Perceived & Actual
- 4. @cloudvox Clue over Time - Perceived & Actual
- 5. @cloudvox What we knew platform not product ? variable cost components costs are meaningless? ? existing competitor ? customers willing to pay
- 6. @cloudvox Selling 2 Services Feature-competitive (HTTP) ? Industry-leading (Asterisk/AGI, SIP)
- 7. @cloudvox Selling 2 Services Feature-competitive (HTTP) ?<- 3 cents/minute ? Industry-leading (Asterisk/AGI, SIP) ?<- 3-6 cents/min
- 8. @cloudvox Selling 2 Services Feature-competitive (HTTP)??<- 3 cents/minute ? Industry-leading (Asterisk/AGI, SIP) ?<- 3-6 cents/min ^ hard.
- 9. @cloudvox Variable cost component $X per minute $X per customer? ? Cost, margin spreadsheets?
- 10. @cloudvox Variable cost component $X per minute $X per customer? ? Cost, margin spreadsheets <- mostly ??? accurate. ?? ? almost ??? useless.
- 11. @cloudvox Pricing Risk Tolerance over Time
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- 13. @cloudvox Subscription plans ?? " - add a 2nd cheaper service with fewer apps, maybe with a REST API, maybe just reduced functionality. "
- 14. @cloudvox Constraints - ours & customers' phone numbers concurrent calls total usage? features only big customers need? high-touch support?
- 15. @cloudvox
- 17. @cloudvox Constraints - ours & customers' phone numbers concurrent calls total usage? features only big customers need? high-touch support? bad for creativity, bad for platforms. X
- 18. @cloudvox Price after you're live.
- 19. @cloudvox Price after you're live. (okay, price before, but discount 100%,?do so to placate the paranoid,?invest little effort, and expect to redo it 2 months later)
- 20. @cloudvox v2 ? 1 price 0 monthly fees 0 choices v2 v1
- 21. @cloudvox Next Time, I'd launch then price cost the complexity give everything to everyone price for desired behavior
- 22. ? ? Troy Davis @troyd // @cloudvox [email_address] ? cloudvox.com <- Asterisk hosting & phone call API, now 3 cents per minute flat ? digits.cloudvox.com <- phone number<->location & carrier API, free