Useful Reads

• https://www.forbes.com/sites/miriamgrobman/2022/01/31/peer-to-boss-the-important-transition-no-one-told-you-about/?sh=765a613635fb
• https://www.trainingdr.com/blog/the-first-3-conversations-to-have-when-you-are-promoted-to-management-over-your-peers-2
• https://hbr.org/2007/11/making-the-shift-from-peer-to

Data Structures and Time Complexity

 

Collections Overview

https://docs.oracle.com/javase/7/docs/technotes/guides/collections/overview.html

Hashset vs TreeSet vs LinkedHashSet

https://dzone.com/articles/hashset-vs-treeset-vs 

HashMap vs TreeMap vs LinkedHashMap vs HashTable

https://dzone.com/articles/hashmap-vs-treemap-vs

LinkedList vs Arraylist vs Vector

https://dzone.com/articles/arraylist-vs-linkedlist-vs

LinkedIn Learning
https://www.linkedin.com/learning/learning-java-collections/java-collections-framework

Load Balancers

 

A load balancer accepts incoming traffic from clients and routes requests to its registered targets (such as EC2 instances) in one or more Availability Zones. The load balancer also monitors the health of its registered targets and ensures that it routes traffic only to healthy targets. When the load balancer detects an unhealthy target, it stops routing traffic to that target. It then resumes routing traffic to that target when it detects that the target is healthy again.

You configure your load balancer to accept incoming traffic by specifying one or more listeners. A listener is a process that checks for connection requests. It is configured with a protocol and port number for connections from clients to the load balancer. Likewise, it is configured with a protocol and port number for connections from the load balancer to the targets.

Elastic Load Balancing supports the following types of load balancers:

• Application Load Balancers

• Network Load Balancers

• Gateway Load Balancers

• Classic Load Balancers

There is a key difference in how the load balancer types are configured. With Application Load Balancers, Network Load Balancers, and Gateway Load Balancers, you register targets in target groups, and route traffic to the target groups. With Classic Load Balancers, you register instances with the load balancer.

Reference: 

• https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/how-elastic-load-balancing-works.html
• https://www.educative.io/collection/page/5668639101419520/5649050225344512/5747976207073280
• https://en.wikipedia.org/wiki/Load_balancing_(computing)

Useful Links for Coding Interview

 10 Algorithms that Every engineer should know:
https://link.medium.com/CCWovOubwrb 

17 Killer GitHub Repos You Need to Save Right Now!

https://link.medium.com/A2Td7GDbwrb 

Code Review
 https://google.github.io/eng-practices/review/reviewer/looking-for.html 

https://deepsource.io/blog/java-code-review-guidelines/

https://web.mit.edu/6.005/www/fa15/classes/04-code-review/

https://trishagee.github.io/presentation/code_review_best_practice/

Free EBook for What to look for in a Code Review 

http://leanpub.com/whattolookforinacodereview

What to look for in a Code Review for Java 8
https://blog.jetbrains.com/upsource/2016/08/03/what-to-look-for-in-java-8-code/

Tech Interview Handbook

https://github.com/yangshun/tech-interview-handbook

Coding Interview University
https://github.com/jwasham/coding-interview-university

https://medium.com/codex/my-google-coding-interview-question-166f2922b548

Encoding vs Encryption vs Hashing vs Obfuscation

https://www.linkedin.com/pulse/encoding-vs-encryption-hashing-obfuscation-liban-mohamud

Code Review Best Practices

Caching Solutions

 CACHING SOLUTION

REDIS:

Interactive tutorial : http://try.redis.io/

JAVA Implementation: https://www.tutorialspoint.com/redis/redis_java.htm

Advantages: https://www.tutorialspoint.com/redis/redis_quick_guide.htm

Redis Cluster

Alternative to Redis : Memcached

https://www.linkedin.com/pulse/memcached-vs-redis-which-one-pick-ranjeet-vimal/

https://www.instaclustr.com/blog/redis-vs-memcached/

Caching Best Practices 

1. Validity
2. High Hitrate
3. Cache Miss
4. TTL

There can be three ways to write in the cache

1. Cache Aside
2. Read Through cache 
3. Write through - Write to the Cache, then write to the DB and then return success 
4. Write around - Write to the DB and return success. When there is a cache miss the cache would be updates.
5. Write back - Write to the Cache and return success. there is another system which asynchronously 

Fault Tolerance for Cache

1. Regular Interval Snapshot
2. Log Reconstruction

Learn more about caching using this video 

How to design a Distributed Cache ?

Reading 

https://codeahoy.com/2017/08/11/caching-strategies-and-how-to-choose-the-right-one/

https://www.instaclustr.com/blog/redis-vs-memcached

General Topics for Distributed System

 

What is Service Mash ?

Google File System

Map Reduce

Fallacies of Distributed Systems

1. The network is reliable;
2. Latency is zero;
3. Bandwidth is infinite;
4. The network is secure;
5. Topology doesn't change;
6. There is one administrator;
7. Transport cost is zero;
8. The network is homogeneous.

https://en.wikipedia.org/wiki/Fallacies_of_distributed_computing 

Software Quality
https://asq.org/quality-resources/software-quality 

Lambdas & Streams

 

https://docs.oracle.com/javase/8/docs/api/java/util/function/package-summary.html

https://www.linkedin.com/learning/java-lambdas-and-streams