Just do it!

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Charles Teague, CEO of leading iPhone weight-loss app maker LoseIt!, shares his secrets for building and running high-volume applications in the cloud.

Technology

Just Do It! Building and running high volume applications in the cloud Charles Teague CEO, FitNow, Inc.

What is Lose It? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What does that have to do with the cloud?! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Our challenge was to build and run a service that supports millions of users with very limited resources…

How can we do this? ,[object Object],LEVERAGE

Leverage the cloud ,[object Object],[object Object],[object Object],[object Object],[object Object]

Leverage Platform as a Service ,[object Object],[object Object],[object Object],[object Object],PAAS eliminates the need for us to focus on deployment, management, and administration of our application container, data container, and other higher level infrastructure

The result? ,[object Object],[object Object],[object Object],[object Object],[object Object],LASER FOCUS

What technology? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What cloud services? Application Development ,[object Object],[object Object],[object Object],[object Object],[object Object]

What cloud services? Application Runtime ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What cloud services? Application Monitoring / Operations ,[object Object],[object Object],[object Object],[object Object]

The Myth of the Cloud / Black Box ,[object Object],[object Object],[object Object],[object Object]

Real World EC2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Real world advice ,[object Object],[object Object],[object Object],[object Object],[object Object]

More Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Wrap up ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Just do it!

1. Just Do It! Building and running high volume applications in the cloud Charles Teague CEO, FitNow, Inc.

4. Our challenge was to build and run a service that supports millions of users with very limited resources…

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Editor's Notes

Consolidate this not to be a time, but to just summarize Include screen shot of android version Also need volume details 15,000 rpms 24x7 Load 1+m users of Loseit.com Small team (4 people)
2 extreme approaches to a quality web service Reduce the probability of a defect in production to nearly zero Reduce the cost of fixing a defect in production to nearly zero
- Keep in mind that if you choose a tailored black box, your application architecture will risk being bound up /designed for that type of black box, making portability challenging.
Your application architecture should be designed anticipating these needs. It will be much harder to ‘bail out’ a poorly architected application…
For MySQL, use big instances with huge RAM. Configure big caches to protect you from slow I/O You might think that this will only speed up reads, but it has a huge impact upon write performance Spend time doing standard app & query optimization Design application / data storage to support sharding There is a limit to scaling vertically so be prepared to go horizontal Make sure app server tier is cluster safe Our servers are extremely stateless, making round robin load balancing trivial Use queuing to decouple work from main application Allow you to scale work independently Make sure queue processing servers can be clustered too!
Other potential info to include: What does PaaS lets us do that we couldn’t do before What features of a PaaS are/were most important to us What do we wish we could do? Or what will we try to implement next? What is the true value of a PaaS? What benefits have we received from implementing one?

Just do it!

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Editor's Notes