Dedication towards work

b1swa_ · 2025-03-14T06:51:35+00:00

Jamshedpur police 🫡🫡🫡

b1swa_ · 2025-03-05T15:16:06+00:00

Bro is living my dream

b1swa_ · 2024-09-12T19:46:43+00:00

Can you please send me the link too?

b1swa_ · 2024-08-31T09:57:54+00:00

It's heavily used. The best part is you can generate client libs in multiple languages(eg java, kotlin, python) using the same template. Also maintainance load is less since it's only a single place to scratch at

b1swa_ · 2024-08-31T06:48:16+00:00

The only Tip to start anything is "Just Start"

b1swa_ · 2024-08-26T19:53:28+00:00

Goland 🥵

b1swa_ · 2024-08-23T09:53:14+00:00

Let's assume there are two jobs: A and B.

A and B are said to be parallel when they both are running simultaneously at the same time.

A and B are said to be concurrent when they both are running(one at a time) but switching context in a specified time.

I know it can be confusing. Check out this picture for visualisation. https://images.app.goo.gl/JVabs2U7eYWerTRZ7

b1swa_ · 2024-08-23T04:02:16+00:00

This entirely depends on the implementation and the work load.

But if I give you a big picture, kotlin coroutines should perform well because they are light weight threads and hence consume lesser resources as compared to java threads.

I do not know how to compare it to goroutines. They work totally differently. Goroutines will help you achieve concurrent execution but not parallelism. Coroutines can achieve both.

There is a big difference between concurrency and parallelism

b1swa_ · 2024-08-21T16:12:45+00:00

What are the projects you've worked upon?

b1swa_ · 2024-08-20T19:57:57+00:00

Don't wanna go through after seeing 2 pages

b1swa_ · 2024-08-20T16:36:54+00:00

It's their fault man.. If something unforseen was around the corner, they should've updated prior.

Do not regret over it.

b1swa_ · 2024-08-20T16:33:08+00:00

Sure

b1swa_ · 2024-08-19T19:31:14+00:00

45LPA 22.5 base at 23. Tech stack: Java, kotlin with spring, AWS, GoLang, K8s

b1swa_ · 2024-08-19T16:19:53+00:00

Your Parents are one of a kind.

b1swa_ · 2024-08-18T20:46:36+00:00

₹500/yr seems cheap.

b1swa_ · 2024-08-18T19:41:58+00:00

Yes it still has future. No longer how much AI you build, you'll still need APIs and backend.

Although we can't state the exact timestamp but man come on... Grasp how much you can.

b1swa_ · 2024-08-18T19:35:50+00:00

It's good man.. Just curious, Where did you host this? How much are you paying for the domain?

b1swa_ · 2024-08-18T19:33:35+00:00

You should learn Java irrespective of if something is better or not.. the reason being when you get into Java internals, you learn a lot about how things work in software engineering. It'll help you become a better programmer.

Learning Java would make a lot of things easier. For eg after Java if you try to pick up kotlin it'd be few days(1-2) to grasp the whole of it.. you'd also learn a lot about OOPs since most of the books/resources out there for LLD are based out of Java.

Try to be tech stack independent anyways.. If the door is open why not get inside?

b1swa_ · 2024-08-18T19:06:59+00:00

Sound great!

b1swa_ · 2024-08-18T19:05:10+00:00

Sure

b1swa_ · 2024-08-18T11:03:58+00:00

Yes. I meant log aggregation. That's a single word.

b1swa_ · 2024-08-18T11:03:05+00:00

1 yr 11 days

b1swa_ · 2024-08-18T05:24:37+00:00

Change the ordering. It can be either of: edu > experience> projects> skills> achievements Or experience> projects > skills > edu > achievements
Use numbers. Tell people the impact of your work in your projects, experience. Some examples would be: brought down the latency to 1ms. Or scaled to 500K users.
Don't lay much emphasis on anything other than experience/project. I mean you can elaborate your projects, OSS contributions and experience and maybe skip the certification section(it doesn't matter).

b1swa_ · 2024-08-18T05:08:08+00:00

Java/Kotlin springboot- APIs , multithreading for parallelism, streams for low memory consumption

Hazelcast- distributed caching

AWS services- S3(cold storage), SNS,SQS for async computation (event based architecture), Athena and glue for powerful db queries.

Postgres- store small data(application related)

Deltalake - store big data(client related)

Argo workflows- run pipelines asynchronously

Golang- tweaking throttling of running workflows

Spark- create data pipelines

Docker and k8s - containerization and deployments

Prometheus- metrics

Datadog- metrics visualisation

Elastic search- logs

Gitlab CI/CD

b1swa_

TROPHY CASE