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techflash2
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---
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---
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# <!--fit--> Tech 2019
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_- nemo_
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---
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# <!-- fit -->2-feet-rule
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---
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# Caveats 🤷
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- Non-Exhaustive
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- Aligned to Razorpay
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---
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# For every Tech
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1. What is it?
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2. Why should you care?
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3. What can we use it for?
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---
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![bg vertical](https://fakeimg.pl/1920x400/40407a/fff/?text=serverless)
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![bg](https://fakeimg.pl/1920x400/ff793f/fff/?text=blockchain)
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![bg](https://fakeimg.pl/1920x400/2c2c54/fff/?text=kubernetes)
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![bg](https://fakeimg.pl/1920x400/b33939/fff/?text=microservices)
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![bg](https://fakeimg.pl/1920x400/ff5252/fff/?text=service+mesh)
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![bg](https://fakeimg.pl/1920x400/227093/fff/?text=events+vs+metrics+vs+tracing)
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<!-- ![bg](https://fakeimg.pl/1920x400/cd6133/fff/?text=chaos+engineering) -->
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<!-- ![bg](https://fakeimg.pl/1920x400/84817a/fff/?text=react) -->
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---
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# serverless
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## What is it?
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If your application isn't called frequently enough, your computing resources can be brought up Just In Time.
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---
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## Why should you care?
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- Code runs instantly
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- You pay for what you run
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- Scaling is easier
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---
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## Sample Usecases
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- Any kind of Batch Jobs that take <15 minutes
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- A rarely visited website
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- If-this-then-that (Infrequent Trigger based Actions)
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- When a user uploads a file ->
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- When a user sends an email ->
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---
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## Limitations
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- Vendor-Lockins
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- Not all Languages
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---
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# blockchain
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---
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# what is it?
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Techno-Libertarians's dream of removing central authorities from the world's economy, to only end up crashing it entirely.
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---
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# what is it?
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blockchain is a verifiable distributed database that doesn't require trusted parties
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---
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![bg](https://fakeimg.pl/1440x900/ff793f/fff/?text=verifiable)
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---
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![bg](https://fakeimg.pl/1440x900/218c74/fff/?text=distributed)
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---
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![bg](https://fakeimg.pl/1440x900/474787/fff/?text=database)
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---
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![bg](https://fakeimg.pl/1440x900/227093/fff/?text=trustless)
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---
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# why should you care?
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---
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# really, should I care?
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If you trust developers to write code that isn't buggy, and software developers to regulate finance better than the government does - Maybe?
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---
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![bg](https://fakeimg.pl/1440x900/706fd3/fff/?text=kubernetes)
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---
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# the google hype cycle
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- Map Reduce -> Apache Hadoop
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- BigTable -> Apache HBase
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- Chubby -> Apache Zookeeper
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- Spanner -> Cockroach DB
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- Borg -> kubernetes
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---
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# Borg
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![](images/borg.png)
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---
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# What is it?
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Large scale cluster management tool to help you run thousands of applications
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---
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# why should you care?
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- we run kubernetes and all of our services run on kubernetes
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- kubernetes is commoditization of the cloud (GCP/AWS :fist_raised:)
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- k8s advantage :tm:
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---
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# <!--fit-->logs v/s metrics v/s tracing
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---
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# logs
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- easiest
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- most verbose
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- no bird eye view
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---
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# metrics
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- most important
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- dimensions/cardinality of a metric
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---
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# what metrics
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![](images/red.jpg)
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---
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# USE
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> For every resource, check utilization, saturation, and errors.
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- utilization: the average time that the resource was busy servicing work [2]
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- saturation: the degree to which the resource has extra work which it can't service, often queued
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- errors: the count of error events
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---
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# tracing
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- hardest
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- needs to be done well
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---
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![bg](https://fakeimg.pl/1440x900/ff793f/fff/?text=microservices)
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---
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# <!-- fit --> microservices
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![](images/uber.jpg)
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---
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# microservices
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aka: How to Trade Development complexity for Operational complexity
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