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Tech&Career Bytes
India
เข้าร่วมเมื่อ 14 ก.ย. 2023
Empowering software professionals with insights on technology trends, career, and leadership for success.🚀
Tech&Career Bytes is your gateway to insights and guidance from a seasoned software professional with over two decades of industry experience. Starting as a developer and rising to a leadership position in a renowned product-based organization, I've played pivotal roles in conceiving, developing, and launching numerous products.
🎯 Through Tech&Career Bytes, our mission is clear: to be a better engineer, and to demystify the hiring process of major companies. We'll explore coding, the intricacies of building complex computer systems, and offer invaluable career advancement tips.
Welcome and join the Tech&Career Bytes journey for insights into tech success. Subscribe now! 🔔📥
Tech&Career Bytes is your gateway to insights and guidance from a seasoned software professional with over two decades of industry experience. Starting as a developer and rising to a leadership position in a renowned product-based organization, I've played pivotal roles in conceiving, developing, and launching numerous products.
🎯 Through Tech&Career Bytes, our mission is clear: to be a better engineer, and to demystify the hiring process of major companies. We'll explore coding, the intricacies of building complex computer systems, and offer invaluable career advancement tips.
Welcome and join the Tech&Career Bytes journey for insights into tech success. Subscribe now! 🔔📥
How LSM Trees Optimize Write Operations in Cassandra
How LSM Trees Optimize Write Operations in Cassandra
In system design interviews, selecting the right database for specific workloads is critical. Have you ever wondered why Cassandra excels at handling high-velocity writes? In this video, we’ll explore the secrets behind Cassandra's efficiency, focusing on its log-structured storage engine and LSM Trees. Learn how features like MemTables, SSTables, Bloom Filters, and the compaction process work together to ensure high performance and scalability. Perfect for developers and engineers looking to deepen their knowledge of scalable database designs. Watch now to level up your system design skills!
#SystemDesign #Cassandra #LSMTrees #Databases #Scalability
Don't forget to like 👍, share 📤 this video, and subscribe 📥 for more insightful content on career growth and technical skills.📈 Stay tuned for our upcoming content on the latest advancements in the world of technology, data processing, and career development. Let's embark on this knowledge-packed adventure together!
Tech&Career Bytes: Empowering software professionals with insights on career, leadership, and technology trends for success.🚀
Tech&Career Bytes is your gateway to insights and guidance from a seasoned software professional with over two decades of industry experience. Starting as a developer and rising to leadership positions in a renowned product-based organization, I've played pivotal roles in conceiving, designing, developing, and launching numerous products.
Must READ for Continuous Learning:
• Building Microservices - amzn.to/4bFM7Ql
• Mastering System Design: bit.ly/3S05RGS
• Head First Design Patterns: amzn.to/3uDtN9F
• Clean Code: A Handbook of Agile Software Craftsmanship: bit.ly/470W9Zf
• Java Concurrency in Practice: bit.ly/486vtqz
• Java Performance: The Definitive Guide:bit.ly/484BAMk
• Designing Data-Intensive Applications: bit.ly/3uDu4cH
• Designing Distributed Systems: amzn.to/487C7NV
• Clean Architecture: bit.ly/3RwMiWx
• Kafka - The Definitive Guide: amzn.to/3NaWUHZ
• Becoming An Effective Software Engineering Manager: amzn.to/3NHewv8
#systemdesign #softwareengineer #interviewpreparation #DataProcessing #TechEvolution #CareerGrowth #SoftwareEngineering #CareerDevelopment #TechSkills #Leadership #http #https #api #system design #software engineer
Connect with me on social media for more:
LinkedIn: www.linkedin.com/in/roopa-kushtagi-6533912/ 🔗
DZone: dzone.com/users/2762271/roopakushtagi.html
Medium: medium.com/@roopa.kushtagi 📝
Instagram: techcareer.bytes
Buy Me A Coffee: buymeacoffee.com/techcareero
Patreon: patreon.com/user?u=117561535
In system design interviews, selecting the right database for specific workloads is critical. Have you ever wondered why Cassandra excels at handling high-velocity writes? In this video, we’ll explore the secrets behind Cassandra's efficiency, focusing on its log-structured storage engine and LSM Trees. Learn how features like MemTables, SSTables, Bloom Filters, and the compaction process work together to ensure high performance and scalability. Perfect for developers and engineers looking to deepen their knowledge of scalable database designs. Watch now to level up your system design skills!
#SystemDesign #Cassandra #LSMTrees #Databases #Scalability
Don't forget to like 👍, share 📤 this video, and subscribe 📥 for more insightful content on career growth and technical skills.📈 Stay tuned for our upcoming content on the latest advancements in the world of technology, data processing, and career development. Let's embark on this knowledge-packed adventure together!
Tech&Career Bytes: Empowering software professionals with insights on career, leadership, and technology trends for success.🚀
Tech&Career Bytes is your gateway to insights and guidance from a seasoned software professional with over two decades of industry experience. Starting as a developer and rising to leadership positions in a renowned product-based organization, I've played pivotal roles in conceiving, designing, developing, and launching numerous products.
Must READ for Continuous Learning:
• Building Microservices - amzn.to/4bFM7Ql
• Mastering System Design: bit.ly/3S05RGS
• Head First Design Patterns: amzn.to/3uDtN9F
• Clean Code: A Handbook of Agile Software Craftsmanship: bit.ly/470W9Zf
• Java Concurrency in Practice: bit.ly/486vtqz
• Java Performance: The Definitive Guide:bit.ly/484BAMk
• Designing Data-Intensive Applications: bit.ly/3uDu4cH
• Designing Distributed Systems: amzn.to/487C7NV
• Clean Architecture: bit.ly/3RwMiWx
• Kafka - The Definitive Guide: amzn.to/3NaWUHZ
• Becoming An Effective Software Engineering Manager: amzn.to/3NHewv8
#systemdesign #softwareengineer #interviewpreparation #DataProcessing #TechEvolution #CareerGrowth #SoftwareEngineering #CareerDevelopment #TechSkills #Leadership #http #https #api #system design #software engineer
Connect with me on social media for more:
LinkedIn: www.linkedin.com/in/roopa-kushtagi-6533912/ 🔗
DZone: dzone.com/users/2762271/roopakushtagi.html
Medium: medium.com/@roopa.kushtagi 📝
Instagram: techcareer.bytes
Buy Me A Coffee: buymeacoffee.com/techcareero
Patreon: patreon.com/user?u=117561535
มุมมอง: 257
วีดีโอ
How ZooKeeper Drives Consistency & Coordination in Hadoop, HBase, & Kafka
มุมมอง 35414 วันที่ผ่านมา
How ZooKeeper Drives Consistency and Coordination in Hadoop, HBase, and Kafka Discover how Apache ZooKeeper ensures consistency and coordination in distributed systems like Hadoop, HBase, and Apache Kafka. In this detailed video, we’ll break down the role of ZooKeeper, its powerful ZAB protocol, and how it guarantees fault tolerance, leader election, and synchronization across nodes. Whether yo...
How Vector Clocks Ensure Ordering in Distributed Systems
มุมมอง 73328 วันที่ผ่านมา
How Vector Clocks Ensure Ordering in Distributed Systems How do distributed systems ensure consistency when multiple users edit the same data simultaneously? In this video, we explore Vector Clocks -a powerful tool to track event ordering and causality in distributed environments. Learn how Vector Clocks detect conflicts, manage concurrent updates, and ensure data consistency in collaborative a...
How Uber Ensures Timely Pickups Using Real-Time Analytics
มุมมอง 508หลายเดือนก่อน
How Uber Ensures Timely Pickups Using Real-Time Analytics How does Uber get you a ride so quickly? In this video, we explore the real-time analytics behind Uber's service, powered by Apache Pinot. Learn how Uber handles millions of rides daily, matches drivers, predicts routes, and calculates ETAs-all with lightning speed. Discover the core features of Apache Pinot, including its data ingestion...
Why Memcached Uses Cuckoo Hashing, While Redis Does Not
มุมมอง 957หลายเดือนก่อน
Why Memcached Uses Cuckoo Hashing, While Redis Does Not Explore the power of Cuckoo Hashing in today’s video! We break down how this innovative hashing technique solves the problem of hash collisions with O(1) worst-case time complexity, making it ideal for high-performance applications like caching and databases. Learn why Memcached opts for Cuckoo Hashing to ensure fast and reliable lookups, ...
How Isolation Levels Prevent Chaos In Distributed Systems
มุมมอง 619หลายเดือนก่อน
How Isolation Levels Prevent Chaos In Distributed Systems Dive into the world of distributed systems with our video on "How Isolation Levels Prevent Chaos!" 🌐 Ever wondered how online shopping, streaming, or banking apps stay consistent and reliable under the hood? In distributed environments, data inconsistencies, network issues, and race conditions are common threats. We break down how isolat...
Google's Secret Delivering Search Suggestions in MILLISECONDS!
มุมมอง 604หลายเดือนก่อน
Google's Secret Delivering Search Suggestions in MILLISECONDS! Watch this complete guide on implementing a scalable Typeahead system! This video combines two in-depth explanations on Trie data structure and Typeahead system design, providing you with an end-to-end solution. Learn how to leverage Tries for fast search suggestions and understand the key components needed to scale a Typeahead syst...
How Google Docs Resolves Conflicts in Real-Time Collaboration at Scale
มุมมอง 1.1K2 หลายเดือนก่อน
How Google Docs Resolves Conflicts in Real-Time Collaboration at Scale In this video, we explore the fascinating technology behind real-time collaboration in Google Docs. Ever wondered how over 100 users can work on the same document simultaneously, and yet everything stays perfectly in sync? We’ll break down the key data structures, like CRDTs (Conflict-Free Replicated Data Types), that make i...
How Malicious Transactions Are Detected in Payment Processing
มุมมอง 1.4K2 หลายเดือนก่อน
How Malicious Transactions Are Detected in Payment Processing
Google's Secret Delivering Search Suggestions in MILLISECONDS! - Part 2
มุมมอง 9052 หลายเดือนก่อน
Google's Secret Delivering Search Suggestions in MILLISECONDS! - Part 2
Google's Secret Delivering Search Suggestions in MILLISECONDS! - Part 1
มุมมอง 1.9K2 หลายเดือนก่อน
Google's Secret Delivering Search Suggestions in MILLISECONDS! - Part 1
How YouTube Count Billions of Views in Milliseconds(Updated)
มุมมอง 2.8K3 หลายเดือนก่อน
How TH-cam Count Billions of Views in Milliseconds(Updated)
How Google Ensures Data Accuracy Across Millions of Files!
มุมมอง 1.4K3 หลายเดือนก่อน
How Google Ensures Data Accuracy Across Millions of Files!
How YouTube Count Billions of Views in Milliseconds - MUST Know
มุมมอง 10K3 หลายเดือนก่อน
How TH-cam Count Billions of Views in Milliseconds - MUST Know
How to Check if a User Exists Among Billions! - 4 MUST Know Strategies
มุมมอง 120K3 หลายเดือนก่อน
How to Check if a User Exists Among Billions! - 4 MUST Know Strategies
API Design Interview Preparation Roadmap For Beginners
มุมมอง 1.5K3 หลายเดือนก่อน
API Design Interview Preparation Roadmap For Beginners
Will AI Replace Software Engineers? The Truth Behind the Hype
มุมมอง 4474 หลายเดือนก่อน
Will AI Replace Software Engineers? The Truth Behind the Hype
7 Ways to Manage State in Stateful Architecture | System Design
มุมมอง 3524 หลายเดือนก่อน
7 Ways to Manage State in Stateful Architecture | System Design
Optimizing & When Not to Use Recursion: A Guide for Software Engineers
มุมมอง 1924 หลายเดือนก่อน
Optimizing & When Not to Use Recursion: A Guide for Software Engineers
5 Data Security Techniques That Confuse Many Software Engineers
มุมมอง 4014 หลายเดือนก่อน
5 Data Security Techniques That Confuse Many Software Engineers
Concurrency vs. Parallelism with Java code examples
มุมมอง 5205 หลายเดือนก่อน
Concurrency vs. Parallelism with Java code examples
Why is `1 == 1` True but, `1000 == 1000` False in Java?
มุมมอง 1.3K5 หลายเดือนก่อน
Why is `1 1` True but, `1000 1000` False in Java?
How to Ensure Seamless Inter-service Communication in Microservices
มุมมอง 5375 หลายเดือนก่อน
How to Ensure Seamless Inter-service Communication in Microservices
How Is Your Salary Increase Decided? | Software Engineer
มุมมอง 2675 หลายเดือนก่อน
How Is Your Salary Increase Decided? | Software Engineer
How Meta Achieves Seamless Streaming for Millions
มุมมอง 2525 หลายเดือนก่อน
How Meta Achieves Seamless Streaming for Millions
Netflix's Journey from G1GC to ZGC: Tackling Tail Latencies
มุมมอง 4625 หลายเดือนก่อน
Netflix's Journey from G1GC to ZGC: Tackling Tail Latencies
5 MUST Know API Development Approaches |System Design
มุมมอง 3566 หลายเดือนก่อน
5 MUST Know API Development Approaches |System Design
What happens when we create objects using 'new'?
มุมมอง 2386 หลายเดือนก่อน
What happens when we create objects using 'new'?
10X Engineers: How to Be a High-Performing Software Engineer?
มุมมอง 3456 หลายเดือนก่อน
10X Engineers: How to Be a High-Performing Software Engineer?
When to Choose What: Monolith vs. Microservices | System Design
มุมมอง 3866 หลายเดือนก่อน
When to Choose What: Monolith vs. Microservices | System Design
Your dress looks like a Medical Surgeon/Doctor..not like an Software Engineer Dress Code.. Very good info, thx..
Great video ma'am
Thanks a lot. Please share it in your circle 🙏
Wonderful explanation..what is your overall experience and your current role..amazing knowledge
Great information mam
Glad you liked it. Please share it in your circle 🙏
Good day greetings
Wonderful 🎉
Thanks 🙏 please share it in your circle and support us!
Wonderfull video im ur fan now
🙏
You're brilliant ma'am. Thank you for the amazing contents.
Glad you like them! Please share it in your circle 🙏
Great content!
Thanks. Please share it in your circle 🙏
❤
Great video
Thanks! please share it in your circle 🙏
This is pure gold ! I am wondering why it has such less views ! Keep it up mam, my best wishes for the channel
Thanks for watching. Please share it in your circle 🙏
Hello ma'am I loved your content, want to connect in some group for regular queries and discussions.
Yes, sure.
Appreciate your efforts mam. Thanks for sharing your knowledge.😊
Thanks a lot 🙏
Thanks for this informative video. This was a great help.
🙏 please share it in your circle!
Thank you Mam, you can very well name your channel as "Tech Goldmine"!
🙂 🙏
Thank you
Welcome! 🙏
This gives us great learning mam. and provide us with great eye opening on real use cases and great system design. Help us more with such videos that will help us learn more. and necessary concepts to handle heavy load in the application data.
Thanks and sure! 🙏
Thank you for this video. Really helpful mam.. If possible also help us with day to day use-cases and its project implementation.. That will be so helpful. But thank you for sharing such insights..
Your videos are really helpful, please continue on such videos
I'm following your channel Madam It's great content Can you make videos on web metrics How it will work How video content will work as a stream what are framework for youtube
Thank you Ma'am. Please don't stop. These are really informative!
Thank you for your kind words 🙏
8th Like ig 🎉
Hiee Ma'am, ur content is actually very gold. Where everybody just compares a framework or next language in their yt videos. Ur channel is real gold, i never thought in this way that hash value could also collide. Ma'am please may you provide an example when this happens in real life. If a key is already present in hashmap wouldn't it just update that ? Just a doubt ma'am.
Suppose Memcached stores a user session under the key "user:123:session" and a recent search result under the key "search:latest:results". Both keys are hashed to determine their storage location in Memcached’s hash table. Due to the hashing function, it’s possible that both "user:123:session" and "search:latest:results" might map to the same index, say index 42. This results in a collision, as both pieces of data would ideally occupy the same slot in the table.
@@TechCareerBytes thankyou for that example!
thankyou for this. your videos are in very detail! I'm a software engineer !
Excellent explanation thanks a lot..
Glad you liked it. Please check our other videos too 🙏
Great Video, Simple Explanation. Thank you for this video
Glad you liked it 🙏
Really nice video 😊
🙏
Thank you ma'am for sharing your experience ❤
In Paid videos also this content is not covered, great video mam.
🙏 please check our other videos too.
Super Madam.
Love your content, real engineer solution based in data structures
Very Informative
🙏🏻🙂
Most startups (99%) don’t have billion customers. Those that do have already implemented a one time custom solution to this problem. I don’t understand the reason for such interview questions. Just do a db query on an index.
The video itself is great but the comments are gold. Learnt so much.
Glad to hear it! Please check our other videos too 🙏
Thats where Cassandra, HBase come
Why not just have a column with the number of views?
Simply using a column to track views counts total views but doesn’t differentiate unique users, which is essential for accurately measuring reach. Counting unique views requires tracking each user to avoid duplicates, which is where structures like HyperLogLog become efficient, especially at large scale.
Great work ma'am
Underated teacher ❤
Great content, Thank you 👏👌🙏
Recently in Google I/O they announced that they are going to change the business logic and algo to kotlin, data structures in java is wired but seem clear understanding.
Thanks for sharing! Please note that the Java code snippets in the video are purely for illustration purposes and do not imply that Google uses Java for the actual implementation of Google Docs.
Love your videos mam. Can you please make a video on sorted sets data structure?
Thank you so much mam for the wonderful video
Keep watching 🙏
Instead of number of oops concepts videos in TH-cam tech channels....i found it very very useful as she is explaining the real time usecase.... thank you...
Thank you so much 🙂 🙏
Can we use Trie Datastructure? Time complexity will be in O(len(string))... since usernames cant be really long, it can be sloved in constant Time complexity.
Yes, a Trie can be used to check if a user exists by storing usernames or email addresses efficiently. However, it's more commonly used for prefix-based searches, and for user existence checks, simpler data structures like hash maps or Bloom filters might be more optimal.
First time watching your videos and it was very informative. Thank you for your efforts and clear explanation.
Glad it was helpful! 🙏
Even if you use increment decrement bit array it won't solve the false positives problem, thereby it highly relies on hash function this is the one we should focus more on.
Caching wont help i guess, bcoz everytime new user will come and enter his email id, high chance of that data not available in cache
Great content as usual.