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دسته بندی دوره ها

System Design for Interviews and Beyond

سرفصل های دوره
  • 01 Introduction - Course Introduction
  • 02 Introduction - Who will benefit from the course and how
  • 03 Introduction - Course overview
  • 04 How to define System requirements - System requirements
  • 05 How to define System requirements - Functional requirements
  • 06 How to define System requirements - High availability
  • 07 How to define System requirements - Fault tolerance, resilience, reliability
  • 08 How to define System requirements - Scalability
  • 09 How to define System requirements - Performance
  • 10 How to define System requirements - Durability
  • 11 How to define System requirements - Consistency
  • 12 How to define System requirements - Maintainability, security, cost
  • 13 How to define System requirements - Summary of system requirements
  • 14 How to achieve certain system qualities with the help of hardare - Regions, availability zones, data centers, servers
  • 15 How to achieve certain system qualities with the help of hardare - Physical servers, virtual machines, containers, serverless
  • 16 Fundamentals of reliable, scalable, and fast communication - Synchronous vs asynchronous communication
  • 17 Fundamentals of reliable, scalable, and fast communication - Asynchronous messaging patterns
  • 18 Fundamentals of reliable, scalable, and fast communication - Network protocols
  • 19 Fundamentals of reliable, scalable, and fast communication - Blocking vs non-blocking IO
  • 20 Fundamentals of reliable, scalable, and fast communication - Data encoding formats
  • 21 Fundamentals of reliable, scalable, and fast communication - Message acknoledgement
  • 22 How to improve system performance with caching - Deduplication cache
  • 23 How to improve system performance with caching - Metadata cache
  • 24 The importance of queues in distributed systems - Queue
  • 25 The importance of queues in distributed systems - Full and empty queue problems
  • 26 The importance of queues in distributed systems - Start with something simple
  • 27 The importance of queues in distributed systems - Blocking queue and producer-consumer pattern
  • 28 The importance of queues in distributed systems - Thread pool
  • 29 The importance of queues in distributed systems - Big compute architecture
  • 30 Data store internals - Log
  • 31 Data store internals - Index
  • 32 Data store internals - Time series data
  • 33 Data store internals - Simple key-value database
  • 34 Data store internals - B-tree index
  • 35 Data store internals - Embedded database
  • 36 Data store internals - RocksDB
  • 37 Data store internals - LSM-tree and B-tree
  • 38 Data store internals - Page cache
  • 39 How to build efficient communication in distributed systems - Push vs pull
  • 40 How to build efficient communication in distributed systems - Host discovery
  • 41 How to build efficient communication in distributed systems - Service discovery
  • 42 How to build efficient communication in distributed systems - Peer discovery
  • 43 How to build efficient communication in distributed systems - How to choose a network protocol
  • 44 How to build efficient communication in distributed systems - Network protocols in real-life systems
  • 45 How to build efficient communication in distributed systems - Video over HTTP
  • 46 How to build efficient communication in distributed systems - CDN
  • 47 How to build efficient communication in distributed systems - Push and pull technologies
  • 48 How to build efficient communication in distributed systems - Push and pull technologies in real-life systems
  • 49 How to build efficient communication in distributed systems - Large-scale push architectures
  • 50 How to deliver data reliably - What else to know to build reliable, scalable, and fast systems
  • 51 How to deliver data reliably - Timeouts
  • 52 How to deliver data reliably - What to do with failed requests
  • 53 How to deliver data reliably - When to retry
  • 54 How to deliver data reliably - How to retry
  • 55 How to deliver data reliably - Message delivery guarantees
  • 56 How to deliver data reliably - Consumer offsets
  • 57 How to deliver data quickly - Batching
  • 58 How to deliver data quickly - Compression
  • 59 How to deliver data at large scale - How to scale message consumption
  • 60 How to deliver data at large scale - Partitioning in real-life systems
  • 61 How to deliver data at large scale - Partitioning strategies
  • 62 How to deliver data at large scale - Request routing
  • 63 How to deliver data at large scale - Rebalancing partitions
  • 64 How to deliver data at large scale - Consistent hashing
  • 65 How to protect servers from clients - System overload
  • 66 How to protect servers from clients - Autoscaling
  • 67 How to protect servers from clients - Autoscaling system design
  • 68 How to protect servers from clients - Load shedding
  • 69 How to protect servers from clients - Rate limiting
  • 70 How to protect clients from servers - Synchronous and asynchronous clients
  • 71 How to protect clients from servers - Circuit breaker
  • 72 How to protect clients from servers - Fail-fast design principle
  • 73 How to protect clients from servers - Bulkhead
  • 74 How to protect clients from servers - Shuffle sharding
  • 75 Epilogue - The end (but not quite
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