System Design | #SystemDesign :
Distributed Logging Systems Design is a very common use case these days, with more and more company migrating to microservice architecture.
Since a user request can pass through various microservices to achieve the goal, it is really important to design the logging in a way, that a request can be traced from end to end.
This is really necessary when debugging the code or looking for a bug raised by the user.
In system like payment system, you cannot ask a user to redo the transaction again, so that you can trace the flow in real time, hence system like distributed logging becomes very important.
In this video I will be covering distributed log tracing in microservices and will show you how I came up with the architecture of distributed logging.

In this video I have covered various approach to design a distributed logger and final concluded with the best approach.

This is also a very common system design interview questions

#systemDesign #TheTechGranth #DistributedLogging

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Watch our mock Facebook system design interview. Neamah asks Hozefa (Facebook, Wealthfront EM) a system design question on building a metrics and logging service.

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- Microsoft SWE answers algorithms interview question: youtu.be/oD1m1iREKB4

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Chapters -
00:00:00 - Introduction
00:00:33 - Clarifying questions
00:01:52 - Requirements
00:07:34 - API
00:10:12 - Design
00:21:02 - Interview analysis

1o24bbs.com/t/design-distributed-metrics-logging-system/27161

In this video I have implemented a logging framework. Loggers are very common asked low level system design question. There are multiple design patterns that can be used to create this framework. Here I have used 3 Object Oriented Design pattern and coupled them to work together.
Logging is a very common phenomenon in computer science and in any application.
complete code is added in my git repo.

You can buy us a coffee at : buymeacoffee.com/thetechgranth

system design: youtu.be/jzPSuBiidF4

DS for beginners: youtu.be/cxjWjBPPbzI

leetcode solutions: youtu.be/jVN6Mq0mXJo

github: github.com/TheTechGranth/thegranths
facebook group : facebook.com/groups/741317603336313/
twitter: twitter.com/GranthTech

Logging is very common in software application. But there is a challenge when you are logging in a distributed system. In this, I have discussed about distributed logging, challenges and benefits.

This is also a very common interview question.

Other interesting System design links

AirBnB and Booking.com System design: youtu.be/iWEWPWM-NG8
Content Delivery Network (CDN) System design: youtu.be/dzzPP87zUq4
Online Payments (QR Code) Paytm System design: youtu.be/rdJIM3jcICE
Spotify and AppleMusic System design: youtu.be/ks-CS41AiQs
Top 10 Songs in youtube/spotify: youtu.be/CA-ei3mOCf4
Amazon (Bestselling Book) System design: youtu.be/ontAs5VfCwo
WhatsApp System design (part 1): youtu.be/0kJN-8I7Zlg
WhatsApp System design (part 2): youtu.be/oOU4bdyLqJM
Indian Railway Booking System design: youtu.be/8K2_BJpVSjQ
Redbus System design (Part 1): youtu.be/-gqaQa9a7E8
Redbus System design (Part 2): youtu.be/Duxrk7ibfRw
Twitter System design: youtu.be/i_we2M2ZmNc
Tiny URL System design: youtu.be/2dHIPJqhffY
Web Monitoring tool System design: youtu.be/JaR2yjMHA2I

#systemdesign

This live session will talk about a strategy to solve low level design questions. This question was asked in a #Google software engineering interview.

We need to implement an interface: a LogClient. This client has three methods: start, end and poll.
The start and end method are event listeners. They are notified of a process start and end.

The poll method waits on the first task in queue to complete, and then prints it. We will be updating the code in part 2: youtu.be/bPkXQszkkpY

Code: github.com/coding-parrot/projects/blob/master/java-projects/src/main/java/logger/LogClient.java

System Design Video Course: get.interviewready.io/courses/system-design-interview-prep
System Design book - amzn.to/2yQIrxH
System Design Playlist: youtube.com/playlist?list=PLMCXHnjXnTnvo6alSjVkgxV-VH6EPyvoX

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#LowLevelDesign #LLD

System Design Interview Question:
- Design a centralized Logging System
--------------------------------------------------------------------------

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In this talk, Krishna Gade (Head of Data Engineering) and Yu Yang (Data Engineer) will present Pinterest’s logging pipeline and share their experience addressing these challenges. They dive deep into three components they developed: data uploading from service hosts to Kafka, data transportation from Kafka to S3, and data sanitization. They also share their experience in operating Kafka at scale in the cloud.

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Topic: Design logging and monitoring system

1. Requirement gathering
2. Estimations
3. High-level design
4. Deep dive into certain components
5. Edge cases
6. Feedback from the audience

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This Chain of responsibility Design pattern has been asked in Amazon and many other top product based companies.
This pattern is used for many real time application usage like ATM design, Vending Machine design and Logging System design

True sigma males don't care about your logs

00:00 Introduction
00:55 Functional Requirements
01:42 Capacity Estimates
02:41 Database Design
03:36 Architectural Overview

In this lesson Mark talks about some tips about distributed logging within a Microservices architecture (or any highly distributed architecture) and how to make it work. It’s not all about Splunk... Stay tuned each Monday for more lessons in Software Architecture at developertoarchitect.com/lessons/.

Topic: Design a Logging system

Screen Output: github.com/sde-skills/meetupHandoutsAndCode/blob/master/system-design-sessions/2020-10-07-Design_logging_system/system_design_logging_system_notes.txt

1. Requirement gathering
2. Estimations
3. High-level design
4. Storage
5. Deep dive in certain components
6. Edge cases
7. Feedback from the audience

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1o24bbs.com/t/design-distributed-metrics-logging-system/27161

Here is detailed discussion on Metrics and logging framework system design.

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🔗 𝐋𝐢𝐧𝐤𝐬
Is Coding Really WOW? ► youtu.be/XdtxujUG4Ng
Amazon SDE vs CSA ► youtu.be/qSZT1i3iMCE
CSA RoadMap ► youtu.be/s3D328E45Yw
SDE RoadMap ► youtu.be/qDE-gX-thdI
Backlog to SDE ► youtu.be/OBJh3UiBVes
System Design Playlist ► youtube.com/watch?v=3fUKlzhk398&list=PLGPe9uvn5fMZ1mA6jPbOnRQj8-45zGJfn

📚 𝐌𝐨𝐫𝐞 𝐑𝐞𝐚𝐝𝐬
🔗 prometheus.io/blog/2016/07/23/pull-does-not-scale-or-does-it/
🔗 prometheus.io/docs/introduction/faq/#why-do-you-pull-rather-than-push
🔗 Facebook Time Service DB - vldb.org/pvldb/vol8/p1816-teller.pdf
🔗 Basic understanding of Splunk - edureka.co/blog/splunk-architecture/
🔗 Splunk high level architecture - docs.splunk.com/File:Architecture-new.png
🔗 logstash - elastic.co/logstash/
🔗 ELK stack - elastic.co/webinars/introduction-to-elk-stack-a-primer-for-beginners
🔗 Elasalert - elastalert.readthedocs.io/en/latest/
🔗 kafka.apache.org/documentation.html#design_pull

#software_engineer #system_design #logging

𝐃𝐈𝐒𝐂𝐋𝐀𝐈𝐌𝐄𝐑: The views presented in this video are solely mine. I am not representing any company or organisation, just sharing my views and not talking on behalf of any organisation.

1o24bbs.com/t/design-distributed-metrics-logging-system/27161

1o24bbs.com/t/design-distributed-metrics-logging-system/27161

1o24bbs.com/t/design-distributed-metrics-logging-system/27161

Googlers share targeted advice for the systems design aspects of Google's interview process for technical and engineering candidates. This video will cover tips for communication, designing to scale, trade-offs and compromises, overall best practices, and more!

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0:38 - Communication
1:31 - Designing to Scale
2:49 - Concrete and Quantitative Solutions
3:38 - Trade-offs and Compromises
4:18 - Best Practices

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