msb-public
/
system-design-resources
mirror of https://github.com/InterviewReady/system-design-resources
1
0
Code Issues Projects Releases Wiki Activity

Merge pull request #21 from DiptoChakrabarty/readme_clear

Browse Source 
Format Readme to make it cleaner
pull/22/head
Gaurav Sen 12 months ago committed by GitHub
parent 007d5f0236 12b337c8a7
commit c432bc53a5
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 211 additions and 279 deletions
Show Stats Download Patch File Download Diff File

490
README.md
Unescape View File

@ -1,388 +1,320 @@
# System Design Resources
These are the best resources for System Design on the Internet.
##
## Video Processing
Transcoding Videos at Scale: https://www.egnyte.com/blog/2018/12/transcoding-how-we-serve-videos-at-scale/
Facebook Video Broadcasting: https://engineering.fb.com/ios/under-the-hood-broadcasting-live-video-to-millions/
# Table of Contents
- [Video Processing](#video-processing)
- [Cluster and Workflow Management](#cluster-and-workflow-management)
- [Intra-Service Messaging](#intra-service-messaging)
- [Message Queue Antipattern](#message-queue-antipattern)
- [Service Mesh](#service-mesh)
- [Practical System Design](#practical-system-design)
- [Distributed File System](#distributed-file-system)
- [Time Series Databases](#time-series-databases)
- [Rate Limiting](#rate-limiting)
- [In Memory Database - Redis](#in-memory-database---redis)
- [Network Protocols](#network-protocols)
- [Chess Engine Design](#chess-engine-design)
- [Subscription Management System](#subscription-management-system)
- [Google Docs](#google-docs)
- [API Design](#api-design)
- [NoSQL Database Internals](#nosql-database-internals)
- [NoSQL Database Algorithms](#nosql-database-algorithms)
- [Database Replication](#database-replication)
- [Containers and Docker](#containers-and-docker)
- [Capacity Estimation](#capacity-estimation)
- [Publisher Subscriber](#publisher-subscriber)
- [Event Driven Architectures](#event-driven-architectures)
- [Software Architectures](#software-architectures)
- [Microservices](#microservices)
- [Distributed Transactions consistency Patterns](#distributed-transactions-consistency-patterns)
- [Load Balancing](#load-balancing)
- [Alerts and Anomaly Detection](#alerts-and-anomaly-detection)
- [Distributed Logging](#distributed-logging)
- [Metrics and Text Search Engine](#metrics-and-text-search-engine)
- [Single Point of Failure](#single-point-of-failure)
- [Location Based Services](#location-based-services)
- [Batch Processing](#batch-processing)
- [Real Time Stream Processing](#real-time-stream-processing)
- [Caching](#caching)
- [Distributed Consensus](#distributed-consensus)
- [Authorization](#authorization)
- [Content Delivery Network](#content-delivery-network)
- [Testing Distributed Systems](#testing-distributed-systems)
- [System Design Resources](#system-design-resources)
Netflix Video Encoding at Scale: https://netflixtechblog.com/high-quality-video-encoding-at-scale-d159db052746
Netflix Shot based encoding: https://netflixtechblog.com/optimized-shot-based-encodes-now-streaming-4b9464204830
##
## Video Processing
- [Transcoding Videos at Scale](https://www.egnyte.com/blog/2018/12/transcoding-how-we-serve-videos-at-scale/)
- [Facebook Video Broadcasting](https://engineering.fb.com/ios/under-the-hood-broadcasting-live-video-to-millions/)
- [Netflix Video Encoding at Scale](https://netflixtechblog.com/high-quality-video-encoding-at-scale-d159db052746)
- [Netflix Shot based encoding](https://netflixtechblog.com/optimized-shot-based-encodes-now-streaming-4b9464204830)
##
##
## Cluster and Workflow Management
- [Facebook Cluster Management](https://engineering.fb.com/data-center-engineering/twine/)
- [Google Autopilot - Autoscaling](https://dl.acm.org/doi/pdf/10.1145/3342195.3387524)
- [Netflix Workflow Orchestration](https://netflix.github.io/conductor/)
- [Opensource Workflow Management](https://github.com/spotify/luigi)
- [Meta Hardware Management](https://engineering.fb.com/2020/12/09/data-center-engineering/how-facebook-keeps-its-large-scale-infrastructure-hardware-up-and-running/)
- [Meta Capacity Assignment](https://engineering.fb.com/2022/09/06/data-center-engineering/viewing-the-world-as-a-computer-global-capacity-management/)
- [Amazon EC2](https://www.allthingsdistributed.com/2015/07/under-the-hood-of-the-amazon-ec2-container-service.html)
Facebook Cluster Management: https://engineering.fb.com/data-center-engineering/twine/
Google Autopilot - Autoscaling: https://dl.acm.org/doi/pdf/10.1145/3342195.3387524
Netflix Workflow Orchestration: https://netflix.github.io/conductor/
Opensource Workflow Management: https://github.com/spotify/luigi
Meta Hardware Management: https://engineering.fb.com/2020/12/09/data-center-engineering/how-facebook-keeps-its-large-scale-infrastructure-hardware-up-and-running/
Meta Capacity Assignment: https://engineering.fb.com/2022/09/06/data-center-engineering/viewing-the-world-as-a-computer-global-capacity-management/
Amazon EC2: https://www.allthingsdistributed.com/2015/07/under-the-hood-of-the-amazon-ec2-container-service.html
##
## Intra-Service Messaging
What is a message queue: https://www.cloudamqp.com/blog/what-is-message-queuing.html
AirBnb Idempotency: https://medium.com/airbnb-engineering/avoiding-double-payments-in-a-distributed-payments-system-2981f6b070bb
Nginx Service Mesh: https://www.nginx.com/learn/service-mesh/
Meta Async Task Computing: https://engineering.fb.com/2023/01/31/production-engineering/meta-asynchronous-computing/
##
## Intra-Service Messaging
- [What is a message queue](https://www.cloudamqp.com/blog/what-is-message-queuing.html)
- [AirBnb Idempotency](https://medium.com/airbnb-engineering/avoiding-double-payments-in-a-distributed-payments-system-2981f6b070bb)
- [Nginx Service Mesh](https://www.nginx.com/learn/service-mesh/)
- [Meta Async Task Computing](https://engineering.fb.com/2023/01/31/production-engineering/meta-asynchronous-computing/)
##
## Message Queue Antipattern
- [DB as queue Antipattern](http://blog.codepath.com/2012/11/15/asynchronous-processing-in-web-applications-part-1-a-database-is-not-a-queue/)
- [Using a database as a message queue](https://softwareengineering.stackexchange.com/questions/231410/why-database-as-queue-so-bad)
- [Anti-pattern of DB as a queue](http://mikehadlow.blogspot.com/2012/04/database-as-queue-anti-pattern.html)
- [Drawbacks of DB as a queue](https://www.cloudamqp.com/blog/why-is-a-database-not-the-right-tool-for-a-queue-based-system.html)
DB as queue Antipattern: http://blog.codepath.com/2012/11/15/asynchronous-processing-in-web-applications-part-1-a-database-is-not-a-queue/
Using a database as a message queue: https://softwareengineering.stackexchange.com/questions/231410/why-database-as-queue-so-bad
Anti-pattern of DB as a queue: http://mikehadlow.blogspot.com/2012/04/database-as-queue-anti-pattern.html
Drawbacks of DB as a queue: https://www.cloudamqp.com/blog/why-is-a-database-not-the-right-tool-for-a-queue-based-system.html
##
##
## Service Mesh
- [Kubernetes Service Mesh](https://akomljen.com/kubernetes-service-mesh/)
- [Kubernetes Sidecar](https://www.weave.works/blog/introduction-to-service-meshes-on-kubernetes-and-progressive-delivery)
- [Service Mesh](https://www.weave.works/blog/introduction-to-service-meshes-on-kubernetes-and-progressive-delivery)
- [NginX Service Mesh](https://www.nginx.com/learn/service-mesh/)
Kubernetes Service Mesh: https://akomljen.com/kubernetes-service-mesh/
Kubernetes Sidecar:https://www.weave.works/blog/introduction-to-service-meshes-on-kubernetes-and-progressive-delivery
Service Mesh: https://www.weave.works/blog/introduction-to-service-meshes-on-kubernetes-and-progressive-delivery
NginX Service Mesh: https://www.nginx.com/learn/service-mesh/
##
##
## Practical System Design
- [Facebook Messenger Optimisations](https://spectrum.ieee.org/how-facebooks-software-engineers-prepare-messenger-for-new-years-eve)
- [YouTube Architecture](http://highscalability.com/youtube-architecture)
- [YouTube scalability 2012](https://www.youtube.com/watch?v=w5WVu624fY8)
- [Distributed Design Patterns](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html)
- [Monolith to Microservice](https://martinfowler.com/articles/break-monolith-into-microservices.html)
- [Zerodha Tech Stack](https://zerodha.tech/blog/hello-world/)
Facebook Messenger Optimisations: https://spectrum.ieee.org/how-facebooks-software-engineers-prepare-messenger-for-new-years-eve
YouTube Architecture: http://highscalability.com/youtube-architecture
YouTube scalability 2012: https://www.youtube.com/watch?v=w5WVu624fY8
Distributed Design Patterns: http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html
Monolith to Microservice: https://martinfowler.com/articles/break-monolith-into-microservices.html
Zerodha Tech Stack: https://zerodha.tech/blog/hello-world/
##
##
## Distributed File System
- [Open Source Distributed File System](https://docs.ceph.com/en/latest/architecture/)
- [Amazon S3 Performance hacks](https://aws.amazon.com/blogs/aws/amazon-s3-performance-tips-tricks-seattle-hiring-event/)
- [Amazon S3 object expiration](https://aws.amazon.com/blogs/aws/amazon-s3-object-expiration/)
Open Source Distributed File System: https://docs.ceph.com/en/latest/architecture/
Amazon S3 Performance hacks: https://aws.amazon.com/blogs/aws/amazon-s3-performance-tips-tricks-seattle-hiring-event/
Amazon S3 object expiration: https://aws.amazon.com/blogs/aws/amazon-s3-object-expiration/
##
##
## Time Series Databases
- [Pinterest Time Series Database](https://medium.com/pinterest-engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181)
- [Uber Time Series DB](https://eng.uber.com/aresdb/)
- [TimeSeries Relational DB](https://blog.timescale.com/blog/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c)
- [Facebook Gorilla Time Series DB](http://www.vldb.org/pvldb/vol8/p1816-teller.pdf)
Pintrest Time Series Database: https://medium.com/pinterest-engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181
Uber Time Series DB: https://eng.uber.com/aresdb/
TimeSeries Relational DB: https://blog.timescale.com/blog/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c/
Facebook Gorilla Time Series DB: http://www.vldb.org/pvldb/vol8/p1816-teller.pdf
##
##
## Rate Limiting
Circuit Breaker Algorithm: https://martinfowler.com/bliki/CircuitBreaker.html
Uber Rate Limiter: https://github.com/uber-go/ratelimit/blob/master/ratelimit.go
- [Circuit Breaker Algorithm](https://martinfowler.com/bliki/CircuitBreaker.html)
- [Uber Rate Limiter](https://github.com/uber-go/ratelimit/blob/master/ratelimit.go)
##
## In Memory Database - Redis
- [Redis Official Documentation](https://redis.com/)
- [Learn Redis through Redis University](https://university.redis.com/)
- [Redis Open Source Repo](https://github.com/redis/redis)
- [Redis Architecture](https://medium.com/opstree-technology/redis-cluster-architecture-replication-sharding-and-failover-86871e783ac0)
Redis Official Documentation : https://redis.com/
Learn Redis through Redis University : https://university.redis.com/
Redis Open Source Repo : https://github.com/redis/redis
Redis Architecture : https://medium.com/opstree-technology/redis-cluster-architecture-replication-sharding-and-failover-86871e783ac0
##
##
## Network Protocols
- [What is HTTP](https://engineering.cred.club/head-of-line-hol-blocking-in-http-1-and-http-2-50b24e9e3372)
- [QUIC Protocol](https://www.akamai.com/blog/performance/http3-and-quic-past-present-and-future)
- [TCP Protocol algorithms](https://ee.lbl.gov/papers/congavoid.pdf) (First 10 pages are important)
- [WebRTC](https://webrtc.github.io/webrtc-org/blog/2012/07/23/a-great-introduction-to-webrtc.html)
- [WebSockets](https://datatracker.ietf.org/doc/html/rfc6455#section-1.2)
- [Dynamic Source Routing using QUIC](https://fb.watch/fSEbI4KHlA/)
What is HTTP: https://engineering.cred.club/head-of-line-hol-blocking-in-http-1-and-http-2-50b24e9e3372
QUIC Protocol: https://www.akamai.com/blog/performance/http3-and-quic-past-present-and-future
TCP Protocol algorithms: https://ee.lbl.gov/papers/congavoid.pdf (First 10 pages are important)
WebRTC: https://webrtc.github.io/webrtc-org/blog/2012/07/23/a-great-introduction-to-webrtc.html
WebSockets: https://datatracker.ietf.org/doc/html/rfc6455#section-1.2
Dynamic Source Routing using QUIC: https://fb.watch/fSEbI4KHlA/
##
##
## Chess Engine Design
- [Chess Engine Building](https://www.youtube.com/watch?v=U4ogK0MIzqk)
Chess Engine Building: https://www.youtube.com/watch?v=U4ogK0MIzqk
##
##
## Subscription Management System
- [Subscription Manager](https://netflixtechblog.com/building-a-rule-based-platform-to-manage-netflix-membership-skus-at-scale-e3c0f82aa7bc)
Subscription Manager: https://netflixtechblog.com/building-a-rule-based-platform-to-manage-netflix-membership-skus-at-scale-e3c0f82aa7bc
##
##
## Google Docs
- [Operational Transform](http://www.codecommit.com/blog/java/understanding-and-applying-operational-transformation)
- [Google Docs](https://www.youtube.com/watch?v=uOFzWZrsPV0&list=PLX)
Operational Transform: http://www.codecommit.com/blog/java/understanding-and-applying-operational-transformation
Google Docs: https://www.youtube.com/watch?v=uOFzWZrsPV0&list=PLXDe3d8o9VFtydBV5biyz9iS3WqKsBMD5&index=3
##
## API Design
API Design: https://medium.com/airbnb-engineering/building-services-at-airbnb-part-1-c4c1d8fa811b
- [API Design at Airbnb](https://medium.com/airbnb-engineering/building-services-at-airbnb-part-1-c4c1d8fa811b)
- [Swagger APIs](https://swagger.io/docs/specification/about/)
Swagger APIs: https://swagger.io/docs/specification/about/
##
##
## NoSQL Database Internals
Cassandra Architecture: https://docs.datastax.com/en/archived/cassandra/3.0/cassandra/architecture/archIntro.html
Google BigTable Architecture: https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf
Amazon Dynamo DB Internals: https://www.allthingsdistributed.com/2007/10/amazons_dynamo.html
Design Patterns in Amazon Dynamo DB: https://www.youtube.com/watch?v=HaEPXoXVf2k
Internals of Amazon Dynamo DB: https://www.youtube.com/watch?v=yvBR71D0nAQ
- [Cassandra Architecture](https://docs.datastax.com/en/archived/cassandra/3.0/cassandra/architecture/archIntro.html)
- [Google BigTable Architecture](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf)
- [Amazon Dynamo DB Internals](https://www.allthingsdistributed.com/2007/10/amazons_dynamo.html)
- [Design Patterns in Amazon Dynamo DB](https://www.youtube.com/watch?v=HaEPXoXVf2k)
- [Internals of Amazon Dynamo DB](https://www.youtube.com/watch?v=yvBR71D0nAQ)
##
##
## NoSQL Database Algorithms
Hyperloglog Algorithm: https://odino.org/my-favorite-data-structure-hyperloglog/
Log Structured Merge Tree: https://www.cs.umb.edu/~poneil/lsmtree.pdf
Sorted String Tables and Compaction Strategies: https://github.com/scylladb/scylla/wiki/SSTable-compaction-and-compaction-strategies
Leveled Compaction Cassandra: https://www.datastax.com/blog/leveled-compaction-apache-cassandra
- [Hyperloglog Algorithm](https://odino.org/my-favorite-data-structure-hyperloglog/)
- [Log Structured Merge Tree](https://www.cs.umb.edu/~poneil/lsmtree.pdf)
- [Sorted String Tables and Compaction Strategies](https://github.com/scylladb/scylla/wiki/SSTable-compaction-and-compaction-strategies)
- [Leveled Compaction Cassandra](https://www.datastax.com/blog/leveled-compaction-apache-cassandra)
- [Scylla DB Compaction](https://github.com/scylladb/scylla/wiki/SSTable-compaction-and-compaction-strategies)
- [Indexing in Cassandra](https://www.bmc.com/blogs/cassandra-clustering-columns-partition-composite-key/)
Scylla DB Compaction: https://github.com/scylladb/scylla/wiki/SSTable-compaction-and-compaction-strategies
Indexing in Cassandra: https://www.bmc.com/blogs/cassandra-clustering-columns-partition-composite-key/
##
##
## Database Replication
Database replication: https://dev.mysql.com/doc/refman/8.0/en/replication.html
Netflix Data replication - Change Data Capture: https://netflixtechblog.com/dblog-a-generic-change-data-capture-framework-69351fb9099b
LinkedIn Logging Usecases: https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
- [Database replication](https://dev.mysql.com/doc/refman/8.0/en/replication.html)
- [Netflix Data replication - Change Data Capture](https://netflixtechblog.com/dblog-a-generic-change-data-capture-framework-69351fb9099b)
- [LinkedIn Logging Usecases](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying)
##
## Containers and Docker
Facebook Twine Containerization: https://engineering.fb.com/developer-tools/zookeeper-twine/
CloudFlare Containerization: https://blog.cloudflare.com/cloud-computing-without-containers/
##
## Containers and Docker
Docker Architecture: https://docs.docker.com/get-started/overview/#docker-architecture
- [Facebook Twine Containerization](https://engineering.fb.com/developer-tools/zookeeper-twine/)
- [CloudFlare Containerization](https://blog.cloudflare.com/cloud-computing-without-containers/)
- [Docker Architecture](https://docs.docker.com/get-started/overview/#docker-architecture)
##
##
## Capacity Estimation
Google Capacity Estimation: https://www.youtube.com/watch?v=modXC5IWTJI
Scalability at YouTube 2012: https://www.youtube.com/watch?v=G-lGCC4KKok
Back of envelope Calculations at AWS: https://www.youtube.com/watch?v=-3qetLv2Yp0
- [Google Capacity Estimation](https://www.youtube.com/watch?v=modXC5IWTJI)
- [Scalability at YouTube 2012](https://www.youtube.com/watch?v=G-lGCC4KKok)
- [Back of envelope Calculations at AWS](https://www.youtube.com/watch?v=-3qetLv2Yp0)
- [Capacity Estimation](http://static.googleusercontent.com/media/research.google.com/en//people/jeff/stanford-295-talk.pdf)
Capacity Estimation: http://static.googleusercontent.com/media/research.google.com/en//people/jeff/stanford-295-talk.pdf
##
##
## Publisher Subscriber
Oracle Publisher Subscriber: https://docs.oracle.com/cd/B10501_01/appdev.920/a96590/adg15pub.htm
- [Oracle Publisher Subscriber](https://docs.oracle.com/cd/B10501_01/appdev.920/a96590/adg15pub.htm)
- [Amazon Pub Sub Messaging](https://aws.amazon.com/pub-sub-messaging/)
- [Asynchronous processing](http://blog.codepath.com/2013/01/06/asynchronous-processing-in-web-applications-part-2-developers-need-to-understand-message-queues/)
- [Async Request Response](https://www.enterpriseintegrationpatterns.com/patterns/conversation/RequestResponse.html)
Amazon Pub Sub Messaging: https://aws.amazon.com/pub-sub-messaging/
Asynchronous processing: http://blog.codepath.com/2013/01/06/asynchronous-processing-in-web-applications-part-2-developers-need-to-understand-message-queues/
Async Request Response: https://www.enterpriseintegrationpatterns.com/patterns/conversation/RequestResponse.html
##
##
## Event Driven Architectures
Martin Fowler- Event Driven Architecture: https://www.youtube.com/watch?v=STKCRSUsyP0
- [Martin Fowler- Event Driven Architecture](https://www.youtube.com/watch?v=STKCRSUsyP0)
- [Event Driven Architecture](https://martinfowler.com/articles/201701-event-driven.html)
Event Driven Architecture: https://martinfowler.com/articles/201701-event-driven.html
##
##
## Software Architectures
Hexagonal Architecture: https://netflixtechblog.com/ready-for-changes-with-hexagonal-architecture-b315ec967749
Hexagonal architecture (Alistair Cockburn) https://alistair.cockburn.us/hexagonal-architecture/
The Clean Code by Robert C. Martin (Uncle Bob) https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html
CQRS https://martinfowler.com/bliki/CQRS.html
- [Hexagonal Architecture](https://netflixtechblog.com/ready-for-changes-with-hexagonal-architecture-b315ec967749)
- [Hexagonal architecture (Alistair Cockburn)](https://alistair.cockburn.us/hexagonal-architecture/)
- [The Clean Code by Robert C. Martin (Uncle Bob)](https://blog.cleancoder.com/uncle-bob/2012/08/13/the-clean-architecture.html)
- [CQRS](https://martinfowler.com/bliki/CQRS.html)
- [DomainDrivenDesign](https://martinfowler.com/bliki/DomainDrivenDesign.html)
DomainDrivenDesign https://martinfowler.com/bliki/DomainDrivenDesign.html
##
##
## Microservices
Monolith Architecture: https://buttercms.com/books/microservices-for-startups/should-you-always-start-with-a-monolith/
Monoliths vs Microservices: https://articles.microservices.com/monolithic-vs-microservices-architecture-5c4848858f59
Microservices: http://highscalability.com/blog/2018/4/5/do-you-have-too-many-microservices-five-design-attributes-th.html
Uber Nanoservices antipattern: https://www.youtube.com/watch?v=kb-m2fasdDY
Uber Domain oriented microservice: https://eng.uber.com/microservice-architecture/
- [Monolith Architecture](https://buttercms.com/books/microservices-for-startups/should-you-always-start-with-a-monolith/)
- [Monoliths vs Microservices](https://articles.microservices.com/monolithic-vs-microservices-architecture-5c4848858f59)
- [Microservices](http://highscalability.com/blog/2018/4/5/do-you-have-too-many-microservices-five-design-attributes-th.html)
- [Uber Nanoservices antipattern](https://www.youtube.com/watch?v=kb-m2fasdDY)
- [Uber Domain oriented microservice](https://eng.uber.com/microservice-architecture/)
##
## Distributed Transactions consistency Patterns
Transactional outbox https://microservices.io/patterns/data/transactional-outbox.html
SAGAS Long lived transactions (LLTs) https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf
- [Transactional outbox](https://microservices.io/patterns/data/transactional-outbox.html)
- [SAGAS Long lived transactions (LLTs)](https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf)
##
##
## Load Balancing
Load Balancer with Sticky Sessions: https://stackoverflow.com/questions/10494431/sticky-and-non-sticky-sessions
Citrix what is load balancing: https://www.citrix.com/en-in/solutions/app-delivery-and-security/load-balancing/what-is-load-balancing.html
Nginx Load Balancing: https://www.nginx.com/resources/glossary/load-balancing/
- [Load Balancer with Sticky Sessions](https://stackoverflow.com/questions/10494431/sticky-and-non-sticky-sessions)
- [Citrix what is load balancing](https://www.citrix.com/en-in/solutions/app-delivery-and-security/load-balancing/what-is-load-balancing.html)
- [Nginx Load Balancing](https://www.nginx.com/resources/glossary/load-balancing/)
- [Consistent hashing](https://michaelnielsen.org/blog/consistent-hashing/)
Consistent hashing: https://michaelnielsen.org/blog/consistent-hashing/
##
##
## Alerts and Anomaly Detection
Outlier Detection: https://towardsdatascience.com/outlier-detection-with-isolation-forest-3d190448d45e
Anomaly Detection: https://towardsdatascience.com/machine-learning-for-anomaly-detection-and-condition-monitoring-d4614e7de770
Uber Real Time Monitoring and Root Cause Analysis Argos: https://eng.uber.com/argos-real-time-alerts/
Microsoft Anomaly Detection: https://www.youtube.com/watch?v=12Xq9OLdQwQ&t=0s
Facebook Data Engineering: https://engineering.fb.com/2016/05/09/core-data/introducing-fblearner-flow-facebook-s-ai-backbone/
LinkedIn Real Time Alerting: https://engineering.linkedin.com/blog/2019/06/smart-alerts-in-thirdeye--linkedins-real-time-monitoring-platfor
- [Outlier Detection](https://towardsdatascience.com/outlier-detection-with-isolation-forest-3d190448d45e)
- [Anomaly Detection](https://towardsdatascience.com/machine-learning-for-anomaly-detection-and-condition-monitoring-d4614e7de770)
- [Uber Real Time Monitoring and Root Cause Analysis Argos](https://eng.uber.com/argos-real-time-alerts/)
- [Microsoft Anomaly Detection](https://www.youtube.com/watch?v=12Xq9OLdQwQ&t=0s)
- [Facebook Data Engineering](https://engineering.fb.com/2016/05/09/core-data/introducing-fblearner-flow-facebook-s-ai-backbone/)
- [LinkedIn Real Time Alerting](https://engineering.linkedin.com/blog/2019/06/smart-alerts-in-thirdeye--linkedins-real-time-monitoring-platfor)
- [LinkedIn Isolation Forests](https://engineering.linkedin.com/blog/2019/isolation-forest)
LinkedIn Isolation Forests: https://engineering.linkedin.com/blog/2019/isolation-forest
##
##
## Distributed Logging
Uber Distributed Request Tracing: https://eng.uber.com/distributed-tracing/
Pintrest Logging: https://medium.com/@Pinterest_Engineering/open-sourcing-singer-pinterests-performant-and-reliable-logging-agent-610fecf35566
Google Monitoring Infrastructure: https://www.facebook.com/atscaleevents/videos/959344524420015/
- [Uber Distributed Request Tracing](https://eng.uber.com/distributed-tracing/)
- [Pintrest Logging](https://medium.com/@Pinterest_Engineering/open-sourcing-singer-pinterests-performant-and-reliable-logging-agent-610fecf35566)
- [Google Monitoring Infrastructure](https://www.facebook.com/atscaleevents/videos/959344524420015/)
##
##
## Metrics and Text Search Engine
Facebook real time text search engine: https://www.facebook.com/watch/?v=432864835468
Elastic Search Time Based Querying: https://www.elastic.co/guide/en/elasticsearch/guide/current/time-based.html
- [Facebook real-time text search engine](https://www.facebook.com/watch/?v=432864835468)
- [Elastic Search Time Based Querying](https://www.elastic.co/guide/en/elasticsearch/guide/current/time-based.html)
- [Elastic Search Aggregation](https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations.html)
Elastic Search Aggregation: https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations.html
##
##
## Single Point of Failure
Avoiding Single Points of Failure: https://medium.com/the-cloud-architect/patterns-for-resilient-architecture-part-3-16e8601c488e
- [Avoiding Single Points of Failure](https://medium.com/the-cloud-architect/patterns-for-resilient-architecture-part-3-16e8601c488e)
- [Netflix Multi-Region Availability](https://netflixtechblog.com/active-active-for-multi-regional-resiliency-c47719f6685b)
- [Oracle Single Points of failure](https://docs.oracle.com/cd/E19693-01/819-0992/fjdch/index.html)
- [DNS single point of failure 2004](http://www.tenereillo.com/GSLBPageOfShame.htm)
- [Sharding](https://medium.com/@jeeyoungk/how-sharding-works-b4dec46b3f6)
Netflix Multi-Region Availability: https://netflixtechblog.com/active-active-for-multi-regional-resiliency-c47719f6685b
Oracle Single Points of failure: https://docs.oracle.com/cd/E19693-01/819-0992/fjdch/index.html
DNS single point of failure 2004: http://www.tenereillo.com/GSLBPageOfShame.htm
Sharding: https://medium.com/@jeeyoungk/how-sharding-works-b4dec46b3f6
##
##
## Location Based Services
Google S2 library: https://blog.christianperone.com/2015/08/googles-s2-geometry-on-the-sphere-cells-and-hilbert-curve/
- [Google S2 library](https://blog.christianperone.com/2015/08/googles-s2-geometry-on-the-sphere-cells-and-hilbert-curve/)
##
##
## Batch Processing
Map Reduce Architecture: https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf
- [Map Reduce Architecture](https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf)
##
##
## Real Time Stream Processing
LinkedIn Brooklin- Real time data streaming: https://engineering.linkedin.com/blog/2019/brooklin-open-source
Netflix Real Time Stream Processing: https://netflixtechblog.com/keystone-real-time-stream-processing-platform-a3ee651812a
- [LinkedIn Brooklin- Real-time data streaming](https://engineering.linkedin.com/blog/2019/brooklin-open-source)
- [Netflix Real Time Stream Processing](https://netflixtechblog.com/keystone-real-time-stream-processing-platform-a3ee651812a)
- [KSQLDB for Kafka](https://docs.ksqldb.io/en/latest/operate-and-deploy/how-it-works/)
KSQLDB for Kafka: https://docs.ksqldb.io/en/latest/operate-and-deploy/how-it-works/
##
##
## Caching
Google Guava Cache: https://github.com/google/guava/wiki/CachesExplained
Caching (See the README): https://github.com/ben-manes/caffeine/
Caching: http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html
- [Google Guava Cache](https://github.com/google/guava/wiki/CachesExplained)
- [Caching (See the README)](https://github.com/ben-manes/caffeine/)
- [Caching](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html)
- [Microsoft Caching Guide](https://docs.microsoft.com/en-us/previous-versions/msp-n-p/dn589802(v%3dpandp.10)
- [Caching patterns](https://hazelcast.com/blog/a-hitchhikers-guide-to-caching-patterns/)
Microsoft Caching Guide: https://docs.microsoft.com/en-us/previous-versions/msp-n-p/dn589802(v%3dpandp.10)
Caching patterns: https://hazelcast.com/blog/a-hitchhikers-guide-to-caching-patterns/
##
## Distributed concensus
Paxos: http://ifeanyi.co/posts/understanding-consensus/
##
## Distributed consensus
Raft: https://raft.github.io/
- [Paxos](http://ifeanyi.co/posts/understanding-consensus/)
- [Raft](https://raft.github.io/)
##
##
## Authorization
Designing an Authorization Model for an Enterprise: https://cerbos.dev/blog/designing-an-authorization-model-for-an-enterprise
The Architectural Patterns of Cloud-native Authorization Systems: https://www.aserto.com/blog/5-laws-cloud-native-authorization
- [Designing an Authorization Model for an Enterprise](https://cerbos.dev/blog/designing-an-authorization-model-for-an-enterprise)
- [The Architectural Patterns of Cloud-native Authorization Systems](https://www.aserto.com/blog/5-laws-cloud-native-authorization)
##
## Content Delivery Network
AWS CloudFront CDN with S3: https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3-amazon-cloudfront-a-match-made-in-the-cloud/
- [AWS CloudFront CDN with S3](https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3-amazon-cloudfront-a-match-made-in-the-cloud/)
##
## Testing Distributed Systems
Deterministic Testing: https://www.youtube.com/watch?v=4fFDFbi3toc
- [Deterministic Testing](https://www.youtube.com/watch?v=4fFDFbi3toc)
##
## System Design Resources
Designing Data Intensive Applications Book: https://amzn.to/3SyNAOy
WhitePapers: https://interviewready.io/blog/white-papers-worth-reading-for-software-engineers
InterviewReady Videos: [https://interviewready.io](https://interviewready.io?source=github)
- [Designing Data Intensive Applications Book](https://amzn.to/3SyNAOy)
- [WhitePapers](https://interviewready.io/blog/white-papers-worth-reading-for-software-engineers)
- [InterviewReady Videos](https://interviewready.io?source=github)

Write Preview
Loading…
Cancel
Save