Grind Nation

[image] If you are into System Design, you have to read this... This paper presents implementation of : - Amazon Dynamo: a highly available distributed key-value storage system - Used by Amazon’s core services to ensure an “always-on” experience - Trades strict consistency for

[video] 11 White Monster Giveaway🔥 Requote your best work done till date and join Grind Nation to post your daily grind!

[image] Built a small event-driven pipeline in AWS to understand how different services work together. S3 → SNS → Lambda → CloudWatch Whenever a file is uploaded or deleted from S3, an event is triggered and sent to SNS. SNS then triggers Lambda, and Lambda processes the event. I

[text] Underated System Design Resources - A noobs guide by a noob 😋....

[image] Ever wondered how Big techs handles your username ? They instantly tells you if this username is available or not while having a database of billions of users. Through Linear approach which basically one by one lookup in your database would kill your database instance, That is

[image] Winter Arc: Day 3 >Office work (9–7) >Continued with AWS for data engineering (AWS Glue, crawlers, Athena) >Linux fundamentals for DevOps >Workout (Back and rear delts) >Read a book every day: Atomic Habits

[image] I remember when I created this community on sept 12. Now we have almost 5K members in the community I don't know why they're closing the community feature but it really helps those who want to post their grind or related content that aligns with the community when they don't

[image] Winter Arc: Day 1 Office work (9–7) Continued with AWS for data engineering (AWS Glue, crawlers) Linux fundamentals for DevOps Workout (chest and tricep) Read a book every day: Atomic Habits

[image] Winter Arc: Day 5: >Continued with AWS for data engineering (AWS Glue, crawlers, Athena) >Basics of DevOps >Workout (Upper body) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 4 >Office work (9–7) >Continued with AWS for data engineering (AWS Glue, crawlers, Athena) >Basics of DevOps and SDLC >Workout (Legs) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 8 >Office work (9–7) >Continued with AWS for data engineering (AWS EMR) >Fumbled an interview >Workout (Chest and tricep) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 18 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift) >Revison of shell scripting(devops) >Workout (Back) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 24 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift) >Workout (Legs) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 22 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift writing queries ) >Revison of shell scripting(devops) >Workout (Chest and tricep) >Read a book every day: Atomic Habits Didnt study a shit in last 2 days because of office work . Time

[image] Winter Arc: Day 6 > Continued with AWS for data engineering (AWS Glue, crawlers, Athena) > Workout (Rest day) > Read a book every day: Atomic Habits Didn't do much as I was so stressed about a fire accident next to home. Hoping to have a better week.

[image] Winter Arc: Day 9 >Office work (9–8) >Continued AWS for data engineering (EMR) >Didn't study much due to office work >Workout (back and rear delts) >Daily reading: Atomic Habits Hoping to have a better day tmrw

[video] Day log: - Continued with AWS for data engineering (deep dive into IAM)✅ - Pandas in my ML journey❌ - Workout (Shoulder, bicep)✅ - Read a book every day: The Alchemist✅

[image] Winter Arc: Day 30 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift optimization techniques) > started building a industry level data pipeline as a side project >Workout (10ksteps) >Read a book every day: The metamorphosis

[image] Winter Arc: Day 14 >Had a fun outing with my frnds again >Continued with AWS for data engineering (AWS Redhsift theory) >Workout (completed 10k steps ) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 13 >Continued with AWS for data engineering (AWS EMR starting redshift) >Basics of DevOps(creation of virtual machines) >Workout (rest day) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 0 Office work (9–7) Continued with AWS for data engineering (SNS completed; starting AWS Glue) Linux fundamentals for DevOps Workout (shoulders and biceps) Read a book every day: Atomic Habits

[image] Winter Arc: Day 19 >wrote my first medium article >Continued with AWS for data engineering (AWS Redshift) >Revison of shell scripting(devops) >Workout (Legs) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 11 >Office work (9–8) >Continued AWS for data engineering (EMR) >Workout (Push day) >Daily reading: Atomic Habits

[image] Winter Arc: Day 29 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift optimization techniques) >Workout (Chest and tricep) >Read a book every day: The metamorphosis

[video] Day log: - Continued with AWS for data engineering (completed IAM)✅ - Pandas in my ML journey❌ - Workout (10k steps)✅ - Read a book every day: The Alchemist✅

[image] Winter Arc: Day 25 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift) >Workout (push) >Read a book every day: Atomic Habits

[image] Others: [Netflix Series, Prime Series, Hotstar Series], Me: "Namaste JavaScript 🙏🏻"

[image] Winter Arc: Day 27: >Continued with AWS for data engineering (AWS Redshift) >Linux revison(Devops) >Workout (10k steps) >Read a book every day: Atomic Habits

[video] Daily log: > Office work (9-7) > Continued with AWS for data engineering (deep dive into S3 and Lambda functions) > Workout (shoulders and bicep) > Read a book every day: Atomic habits

[text] howdy grind nation winter arc is upon us and i'd like to see our builder bounties raised by the end of it drop your github username in the comments and I'll share your wanted #GitPoster with you 🫵🏻

[image] Winter Arc: Day 31 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift optimization techniques) > started building a industry level data pipeline as a side project >Workout (Arms) >Read a book every day: The metamorphosis

[image] Winter Arc: Day 16 and 17 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift) >Workout (completed 10k steps) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 25 >office work(9-8) >Continued with AWS for data engineering (AWS Redshift vaccum) >Workout (Shoulders , bicep) >Read a book every day: Atomic Habits

[image] Winter Arc: Day 15 >Continued with AWS for data engineering (AWS Redshift) >Basics of DevOps(creation virtual machines an aws cli) >Workout (shoulder bicep) >Read a book every day: Atomic Habits

[video] I think I solved one of the biggest problems with building in public. It's not that developers don't want to share their progress. It's that after hours of coding, nobody wants to stop and write a post explaining what they just built. So I built this into @joinkairo . Here's

[image] leetcode POTD: 4th oct why people are using recursion/dp here idk 🙃 soln:- optimal beats 100%

[image] potd 24sept:-