Learning Paths
System Design Interview Roadmap
Decoding the Secrets of Successful System Design Interviews. This guide is a comprehensive resource that prepares budding software engineers for the challenges of system design interviews. It delves into the intricacies of designing robust, scalable, and efficient systems, mirroring real-world scenarios that are commonly encountered during technical interviews. With a balanced mix of theoretical knowledge and practical exercises, including case studies, this guide ensures a comprehensive understanding of system design principles.
Modules:
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Learning Objectives
Comprehensive Coverage: The guide provides an in-depth understanding of system design principles, covering all essential topics required for technical interviews.
Real-World Scenarios: The guide includes real-world case studies and scenarios to help you understand what to expect and how to handle various situations during an interview.
Expert Guidance: Learn from industry professionals who have been on both sides of the interview table and can provide valuable insights and tips.
Flexibility: Learn at your own pace with this online guide, which you can access anytime, anywhere.
Community Support: Join a community of like-minded learners, share your doubts, discuss ideas, and learn together.
Career Advancement: This guide could be a stepping stone towards landing your dream job in the tech industry.
Path Contents
• 59 Chapters • 412 Lessons
Grokking System Design Fundamentals
Learn system design essentials required for designing scalable and high-performance systems.
• 25 Chapters • 105 Lessons
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1.
System Design Fundamentals
1 lesson
Introduction to System Design
2.
Load Balancing
8 lessons
Introduction to Load Balancing
Load Balancing Algorithms
Uses of Load Balancing
Load Balancer Types
Stateless vs. Stateful Load Balancing
High Availability and Fault Tolerance
Scalability and Performance
Challenges of Load Balancers
Introduction to API Gateway
Usage of API gateway
Advantages and disadvantages of using API gateway
Scalability
Availability
Latency and Performance
Concurrency and Coordination
Monitoring and Observability
Resilience and Error Handling
Fault Tolerance vs. High Availability
HTTP vs. HTTPS
TCP vs. UDP
HTTP: 1.0 vs. 1.1 vs 2.0 vs. 3.0
URL vs. URI vs. URN
Introduction to DNS
DNS Resolution Process
DNS Load Balancing and High Availability
Introduction to Caching
Why is Caching Important?
Types of Caching
Cache Replacement Policies
Cache Invalidation
Cache Read Strategies
Cache Coherence and Consistency Models
Caching Challenges
Cache Performance Metrics
What is CDN?
Origin Server vs. Edge Server
CDN Architecture
Push CDN vs. Pull CDN
Introduction to Data Partitioning
Partitioning Methods
Data Sharding Techniques
Benefits of Data Partitioning
Common Problems Associated with Data Partitioning
What is a Proxy Server?
Uses of Proxies
VPN vs. Proxy Server
What is Redundancy?
What is Replication?
Replication Methods
Data Backup vs. Disaster Recovery
Introduction to CAP Theorem
Components of CAP Theorem
Trade-offs in CAP Theorem
Examples of CAP Theorem in Practice
Beyond CAP Theorem
System Design Trade-offs in Interviews
Introduction to Databases
SQL Databases
NoSQL Databases
SQL vs. NoSQL
ACID vs BASE Properties
Real-World Examples and Case Studies
SQL Normalization and Denormalization
In-Memory Database vs. On-Disk Database
Data Replication vs. Data Mirroring
Database Federation
What are Indexes?
Types of Indexes
Introduction to Bloom Filters
How Bloom Filters Work
Benefits & Limitations of Bloom Filters
Variants and Extensions of Bloom Filters
Applications of Bloom Filters
Difference Between Long-Polling, WebSockets, and Server-Sent Events
What is Quorum?
What is Heartbeat?
What is Checksum?
Uses of Checksum
What is Leader and Follower Pattern?
What is Security and Privacy?
What is Authentication?
What is Authorization?
Authentication vs. Authorization
OAuth vs. JWT for Authentication
What is Encryption?
What are DDoS Attacks?
Introduction to Messaging System
Introduction to Kafka
Messaging patterns
Popular Messaging Queue Systems
RabbitMQ vs. Kafka vs. ActiveMQ
Scalability and Performance
What is a Distributed File System?
Architecture of a Distributed File System
Key Components of a DFS
Batch Processing vs. Stream Processing
XML vs. JSON
Synchronous vs. Asynchronous Communication
Push vs. Pull Notification Systems
Microservices vs. Serverless Architecture
Message Queues vs. Service Bus
Stateful vs. Stateless Architecture
Event-Driven vs. Polling Architecture
Quiz
Grokking the System Design Interview
Ace your system design interview with the original Grokking the System Design Interview course by Design Gurus – ex-FAANG hiring managers. With 30K+ 5★ reviews, this course will help you master scalability, distributed systems, and more.
• 5 Chapters • 65 Lessons
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1.
Introduction to System Design Interview
4 lessons
What is a System Design Interview?
Functional vs. Non-functional Requirements
What are Back-of-the-Envelope Estimations?
Things to Avoid During System Design Interview
2.
Glossary of System Design Basics
19 lessons
System Design Basics
Key Characteristics of Distributed Systems
Load Balancing
Caching
Data Partitioning
Indexes
Proxies
Redundancy and Replication
SQL vs. NoSQL
CAP Theorem
PACELC Theorem
Consistent Hashing
Long-Polling vs WebSockets vs Server-Sent Events
Bloom Filters
Quorum
Leader and Follower
Heartbeat
Checksum
Quiz
Importance of Discussing Trade-offs
Strong vs Eventual Consistency
Latency vs Throughput
ACID vs BASE Properties in Databases
Read-Through vs Write-Through Cache
Batch Processing vs Stream Processing
Load Balancer vs. API Gateway
API Gateway vs Direct Service Exposure
Proxy vs. Reverse Proxy
API Gateway vs. Reverse Proxy
SQL vs. NoSQL
Primary-Replica vs Peer-to-Peer Replication
Data Compression vs Data Deduplication
Server-Side Caching vs Client-Side Caching
REST vs RPC
Polling vs. Long-Polling vs. WebSockets vs. Webhooks
CDN Usage vs Direct Server Serving
Serverless Architecture vs Traditional Server-based
Stateful vs Stateless Architecture
Hybrid Cloud Storage vs All-Cloud Storage
Token Bucket vs Leaky Bucket
Read Heavy vs Write Heavy System
System Design Interviews - A step by step guide
System Design Master Template
Designing a URL Shortening Service like TinyURL
Designing Pastebin
Designing Instagram
Designing Dropbox
Designing Facebook Messenger
Designing Twitter
Designing Youtube or Netflix
Designing Typeahead Suggestion
Designing an API Rate Limiter
Designing Twitter Search
Designing a Web Crawler
Designing Facebook’s Newsfeed
Designing Yelp or Nearby Friends
Designing Uber backend
Designing Ticketmaster
Additional Resources
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Other courses
Grokking the Advanced System Design Interview
Learn system design through architectural review of real systems.
• 11 Chapters • 118 Lessons
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1.
Introduction
1 lesson
What Is This Course About?
2.
Dynamo: How to design a key value store?
12 lessons
Dynamo: Introduction
High-Level Architecture
Data Partitioning
Replication
Vector Clocks and Conflicting Data
The Life of Dynamo’s put() & get() Operations
Anti-entropy Through Merkle Trees
Gossip Protocol
Dynamo Characteristics and Criticism
Summary: Dynamo
Quiz: Dynamo
Mock Interview: Dynamo
Cassandra: Introduction
High-level Architecture
Replication
Cassandra Consistency Levels
Gossiper
Anatomy of Cassandra's Write Operation
Anatomy of Cassandra's Read Operation
Compaction
Tombstones
Summary: Cassandra
Quiz: Cassandra
Mock Interview: Cassandra
Messaging Systems: Introduction
Kafka: Introduction
High-level Architecture
Kafka: Deep Dive
Consumer Groups
Kafka Workflow
Role of ZooKeeper
Controller Broker
Kafka Delivery Semantics
Kafka Characteristics
Summary: Kafka
Quiz: Kafka
Mock Interview: Kafka
Chubby: Introduction
High-level Architecture
Design Rationale
How Chubby Works
File, Directories, and Handles
Locks, Sequencers, and Lock-delays
Sessions and Events
Master Election and Chubby Events
Caching
Database
Scaling Chubby
Summary: Chubby
Quiz: Chubby
Mock Interview: Chubby
Google File System: Introduction
High-level Architecture
Single Master and Large Chunk Size
Metadata
Master Operations
Anatomy of a Read Operation
Anatomy of a Write Operation
Anatomy of an Append Operation
GFS Consistency Model and Snapshotting
Fault Tolerance, High Availability, and Data Integrity
Garbage Collection
Criticism on GFS
Summary: GFS
Quiz: GFS
Mock Interview: GFS
Hadoop Distributed File System: Introduction
High-level Architecture
Deep Dive
Anatomy of a Read Operation
Anatomy of a Write Operation
Data Integrity & Caching
Fault Tolerance
HDFS High Availability (HA)
HDFS Characteristics
Summary: HDFS
Quiz: HDFS
Mock Interview: HDFS
BigTable: Introduction
BigTable Data Model
System APIs
Partitioning and High-level Architecture
SSTable
GFS and Chubby
Bigtable Components
Working with Tablets
The Life of BigTable's Read & Write Operations
Fault Tolerance and Compaction
BigTable Refinements
BigTable Characteristics
Summary: BigTable
Quiz: BigTable
Mock Interview: BigTable
Introduction: System Design Patterns
1. Bloom Filters
2. Consistent Hashing
3. Quorum
4. Leader and Follower
5. Write-ahead Log
6. Segmented Log
7. High-Water Mark
8. Lease
9. Heartbeat
10. Gossip Protocol
11. Phi Accrual Failure Detection
12. Split Brain
13. Fencing
14. Checksum
15. Vector Clocks
16. CAP Theorem
17. PACELC Theorem
18. Hinted Handoff
19. Read Repair
20. Merkle Trees
Quiz I
Quiz II
Contact us
Grokking Microservices Design Patterns
Master microservices design patterns for designing scalable, resilient, and more manageable systems.
• 14 Chapters • 93 Lessons
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1.
Introduction
2 lessons
Who Should Take This Course?
The Course at a Glance
2.
Strangler Fig Pattern
6 lessons
Introduction
The Problem: Legacy Systems
The Strangler Pattern: A Solution
The Architecture of the Strangler Pattern
Strangler Pattern: A Detailed Example
Key Insights and Implications
Introduction to the API Gateway Pattern
Advantages of API Gateway Pattern
API Gateway Pattern: An Example
Performance Implications
System Design Example
Introduction to BFF
The Problem: Traditional Backend Models
The Architecture of the BFF Pattern
BFF Pattern: An Example
Performance Implications
System Design Examples
What is Service Discovery Pattern?
The Problem: Service Coordination in Distributed Systems
Service Discovery Pattern: A Solution
The Architecture of the Service Discovery Pattern
The Inner Workings of the Service Discovery Pattern
Service Discovery Pattern: An Example
Performance Implications and Special Considerations
System Design Examples
Security Considerations
Introduction
The Problem: The Struggles of Distributed Systems and Service Failures
The Circuit Breaker Pattern: An Effective Shield Against Cascading Failures
Circuit Breaker Pattern: An Example
Performance Implications and Special Considerations
System Design Examples
Summary
Introduction
The Problem: Failure Propagation in Distributed Systems
The Bulkhead Pattern: A Solution
The Architecture
The Inner Workings
Bulkhead Pattern: A Example
Performance Implications and Special Considerations
System Design Examples
Conclusion
Introduction
The Retry Pattern: A Solution to Unreliable External Resources
The Architecture of the Retry Pattern
Retry Pattern: An Example
Performance Implications
Use Cases and System Design Examples
Conclusion
Introduction to the Sidecar Pattern
The Problem: Monolithic Application Management
A Solution to the Monolithic Mayhem
The Architecture of the Sidecar Pattern
Sidecar Pattern: Bringing Theory to Practice with an Example
Performance Implications
System Design Examples: Bringing the Sidecar Pattern to Life
Introduction to Saga Pattern
The Problem: Traditional Transaction Models
The Saga Pattern: A Solution
The Architecture of the Saga Pattern
The Inner Workings of the Saga Pattern
Saga Pattern: A Example
Performance Implications
System Design Examples
Conclusion
Introduction
The Problem: Managing Complex Interactions in Distributed Systems
Event-Driven Architecture: A Promising Solution
The Architecture of the Event-Driven Architecture Pattern
The Inner Workings of the Event-Driven Architecture Pattern
Event-Driven Architecture Pattern: An Example
Performance Implications and Special Considerations
Use Cases and System Design Examples
Conclusion
Introduction
The Problem: Traditional CRUD Operations
CQRS Pattern: A Solution
The Architecture of the CQRS Pattern
The Inner Workings of the CQRS Pattern
CQRS Pattern: An Example
Issues, Special Considerations, and Performance Implications
System Design Examples
Introduction
The Problem: Configuration Management in a Microservices Architecture
The Solution: Configuration Externalization Pattern
Unveiling the Architecture: How Does Configuration Externalization Work?
Delving into Code: An Example
Considerations and Implications
Use Cases and Real-world Examples
Conclusion
Embrace the Future of Software Architecture
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