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# <!--fit--> Tech 2019

_- nemo_

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# <!-- fit -->2-feet-rule

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# Caveats 🤷‍

-   Non-Exhaustive
-   Aligned to Razorpay

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# For every Tech

1.  What is it?
2.  Why should you care?
3.  What can we use it for?

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![bg vertical](https://fakeimg.pl/1920x400/40407a/fff/?text=serverless)
![bg](https://fakeimg.pl/1920x400/ff793f/fff/?text=blockchain)
![bg](https://fakeimg.pl/1920x400/2c2c54/fff/?text=kubernetes)
![bg](https://fakeimg.pl/1920x400/b33939/fff/?text=microservices)
![bg](https://fakeimg.pl/1920x400/ff5252/fff/?text=service+mesh)
![bg](https://fakeimg.pl/1920x400/227093/fff/?text=events+vs+metrics+vs+tracing)

<!-- ![bg](https://fakeimg.pl/1920x400/cd6133/fff/?text=chaos+engineering) -->
<!-- ![bg](https://fakeimg.pl/1920x400/84817a/fff/?text=react) -->

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# serverless

## What is it?

If your application isn't called frequently enough, your computing resources can be brought up Just In Time.

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## Why should you care?

-   Code runs instantly
-   You pay for what you run
-   Scaling is easier

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## Sample Usecases

-   Any kind of Batch Jobs that take <15 minutes
-   A rarely visited website
-   If-this-then-that (Infrequent Trigger based Actions)
    -   When a user uploads a file ->
    -   When a user sends an email ->

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## Limitations

-   Vendor-Lockins
-   Not all Languages

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# blockchain

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# what is it?

Techno-Libertarians's dream of removing central authorities from the world's economy, to only end up crashing it entirely.

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# what is it?

blockchain is a verifiable distributed database that doesn't require trusted parties

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![bg](https://fakeimg.pl/1440x900/ff793f/fff/?text=verifiable)

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![bg](https://fakeimg.pl/1440x900/218c74/fff/?text=distributed)

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![bg](https://fakeimg.pl/1440x900/474787/fff/?text=database)

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![bg](https://fakeimg.pl/1440x900/227093/fff/?text=trustless)

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# why should you care?

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# really, should I care?

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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![bg](https://fakeimg.pl/1440x900/706fd3/fff/?text=kubernetes)

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# the google hype cycle

-   Map Reduce -> Apache Hadoop
-   BigTable -> Apache HBase
-   Chubby -> Apache Zookeeper
-   Spanner -> Cockroach DB
-   Borg -> kubernetes

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# Borg

![](images/borg.png)

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# What is it?

Large scale cluster management tool to help you run thousands of applications

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# why should you care?

-   we run kubernetes and all of our services run on kubernetes
-   kubernetes is commoditization of the cloud (GCP/AWS :fist_raised:)
-   k8s advantage :tm:

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# <!--fit-->logs v/s metrics v/s tracing

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# logs

-   easiest
-   most verbose
-   no bird eye view

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# metrics

-   most important
-   dimensions/cardinality of a metric

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# what metrics

![](images/red.jpg)

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# USE

> For every resource, check utilization, saturation, and errors.

-   utilization: the average time that the resource was busy servicing work [2]
-   saturation: the degree to which the resource has extra work which it can't service, often queued
-   errors: the count of error events

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# tracing

-   hardest
-   needs to be done well

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![bg](https://fakeimg.pl/1440x900/ff793f/fff/?text=microservices)

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# <!-- fit --> microservices

![](images/uber.jpg)

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# microservices

aka: How to Trade Development complexity for Operational complexity