View batman-jl.md
Batman animated and JL viewing order.
Canon 1:
- Batman: mask of Phantasm *
- Batman and Mr. Freeze: SubZero
- Batman: Mystery of Batwoman
Canon 2: If you plan to watch Justice league too then refer JL canon #2
- Son of Batman
- Batman vs Robin
View SRE-Devops Challenge
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SRE/DevOps Challenge | |
Overview | |
This challenge will test the following skills: | |
Kubernetes orchestration | |
CI systems | |
REST APIs | |
Scripting | |
Monitoring | |
Allow at least 3 hours to complete each part. |
View TIL.md
- 20 June 2020 James mickens Keynote - What is our responsibility towards Society
- Be skeptic
- think before deploying
- 21 June 2020 Idea Generation Sam Altman
- Environment makes a difference
- Stay away from people who are world-weary and belittle your ambitions
- A good question to ask yourself early in the process of thinking about an idea is “could this be huge if it worked?”
- It’s also important to think about what you’re well-suited for
- 21 June 2020 The new economics of chess
- How magnus carlsen bringing economics into chess, by being a shareholder in the chess.com as well as playing top rated tournaments
View Questions.md
- https://stackoverflow.blog/2020/05/13/ensuring-backwards-compatibility-in-distributed-systems/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter
- How to ensure backward compatibility around the teams?
- What different strategies you uses to support this backward compatibility for Web APIs, Publisher/Subcriber Services(Messaging Services), Data stores, and deployments
View EncryptionVSHashing.md
Hash: A message digest which is generated from a text and can't reproduce from a different text
Hashing: Producing message digest when given a text
- one input - one output
- can't reproduce input from output
- modidfing input means change in hash
Hashing funtion(Hash Algorithm): A function that can be used to map out data of random size to data of fixed size. Some hashing algorithms are MD4, SHA(Secure Hash Algorithm, SHA-1(160 Bits), SHA-2(256 Bits))
View fetchData.js
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export const checkStatus = response => { | |
if ( | |
response.status >= 200 && | |
response.status < 300 | |
) { | |
return response; | |
} | |
return response.json().then(json => { | |
return Promise.reject({ | |
status: response.status, |
View app.js
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#hook for initializing react google analytics | |
useEffect(() => { | |
initGA(Config.googleTrackingGAID); | |
if ( | |
window.performance && | |
performance.navigation.type === performance.navigation.TYPE_NAVIGATE | |
) { | |
PageView(); | |
} | |
history.listen(location => { |
View CurlExercisesSolutions.md
Solution to Curl Excersises
- Request
https://httpbin.org
curl https://httpbin.org
<!DOCTYPE html>
<html lang="en">
View DISTRIBUTEDC.md
##Map Reduce
-
Map/Reduce Library partitions the input data into M pieces of typically 16-64 MB.
True.
-
If there are M partitions of the input, there are M map workers running simultaneously.
False. There are generally less worker nodes than partitions.
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