Grokking System Design Fundamentals
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System Design Fundamentals
Introduction to System Design
Load Balancing
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
API Gateway
Introduction to API Gateway
Usage of API gateway
Advantages and disadvantages of using API gateway
Key Characteristics of Distributed Systems
Scalability
Availability
Latency and Performance
Concurrency and Coordination
Monitoring and Observability
Resilience and Error Handling
Fault Tolerance vs. High Availability
Network Essentials
HTTP vs. HTTPS
TCP vs. UDP
HTTP: 1.0 vs. 1.1 vs 2.0 vs. 3.0
URL vs. URI vs. URN
Domain Name System (DNS)
Introduction to DNS
DNS Resolution Process
DNS Load Balancing and High Availability
Caching
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
CDN
What is CDN?
Origin Server vs. Edge Server
CDN Architecture
Push CDN vs. Pull CDN
Data Partitioning
Introduction to Data Partitioning
Partitioning Methods
Data Sharding Techniques
Benefits of Data Partitioning
Common Problems Associated with Data Partitioning
Proxies
What is a Proxy Server?
Uses of Proxies
VPN vs. Proxy Server
Redundancy and Replication
What is Redundancy?
What is Replication?
Replication Methods
Data Backup vs. Disaster Recovery
CAP & PACELC Theorems
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
Databases (SQL vs. NoSQL)
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
Indexes
What are Indexes?
Types of Indexes
Bloom Filters
Introduction to Bloom Filters
Benefits & Limitations of Bloom Filters
Variants and Extensions of Bloom Filters
Applications of Bloom Filters
Long-Polling vs. WebSockets vs. Server-Sent Events
Difference Between Long-Polling, WebSockets, and Server-Sent Events
Quorum
What is Quorum?
Heartbeat
What is Heartbeat?
Checksum
What is Checksum?
Uses of Checksum
Leader and Follower
What is Leader and Follower Pattern?
Security
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?
Distributed Messaging System
Introduction to Messaging System
Introduction to Kafka
Messaging patterns
Popular Messaging Queue Systems
RabbitMQ vs. Kafka vs. ActiveMQ
Scalability and Performance
Distributed File Systems
What is a Distributed File System?
Architecture of a Distributed File System
Key Components of a DFS
Misc Concepts
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
Synchronous vs. Asynchronous Communication

Synchronous and asynchronous communication are two fundamental methods of transmitting information, particularly in the context of computing and telecommunications. Each has its characteristics and is suited for different scenarios.

Synchronous Communication

Definition

  • Synchronous Communication refers to a method of communication where the sender and receiver are both present and active at the same time. In computing, it often involves a process that waits for a response before moving forward.

Characteristics

  • Real-Time Interaction: Involves immediate response and real-time data exchange.
  • Waiting for Response: The sender typically waits for the receiver to receive and possibly respond to the message before continuing.
  • Examples: Phone calls, live chats, video conferencing, and real-time data processing systems.

Use Cases

  • Situations where immediate feedback is necessary.
  • Systems where processes need to be executed in a specific order.

Pros and Cons

  • Pros: Immediate data transfer and feedback, leading to quick resolution and decision-making.
  • Cons: Can be resource-intensive, as it requires the sender to wait or be blocked until the operation completes.

Asynchronous Communication

Definition

  • Asynchronous Communication is where the sending and receiving of information do not occur at the same time. The sender and receiver don't need to be actively engaged simultaneously.

Characteristics

  • Delayed Response: Responses can be delayed; the sender doesn’t wait for an immediate response.
  • Independence: The sender and receiver operate independently.
  • Examples: Email, forums, messaging apps, background data processing tasks.

Use Cases

  • Situations where immediate response is not required.
  • Systems where operations can occur independently without needing instant coordination.

Pros and Cons

  • Pros: More flexible and efficient in terms of resource utilization, as it doesn't block the sender while waiting for a response.
  • Cons: Delay in feedback; the process might not be suitable for scenarios where immediate action is required.

Key Differences

  1. Timing of Communication:

    • Synchronous: Occurs in real-time; sender and receiver must be present simultaneously.
    • Asynchronous: Does not occur in real-time; sender and receiver do not need to be concurrently engaged.
  2. Resource Utilization:

    • Synchronous: Can be resource-heavy as it requires active engagement from both parties.
    • Asynchronous: More efficient in resource use, as it allows for delayed responses.
  3. Feedback and Responsiveness:

    • Synchronous: Offers immediate feedback and responsiveness.
    • Asynchronous: Feedback is delayed, leading to potential lag in communication.
  4. Complexity:

    • Synchronous: Often simpler in concept but can be complex in resource management.
    • Asynchronous: Can be more complex to implement but offers greater flexibility.
  5. Use Case Suitability:

    • Synchronous: Ideal for scenarios requiring real-time data exchange and immediate decision-making.
    • Asynchronous: Suitable for scenarios where immediate response is not critical, and flexibility is desired.

Conclusion

Choosing between synchronous and asynchronous communication depends on the specific needs of the application or scenario. Synchronous communication is essential for tasks requiring immediate interaction, while asynchronous communication is beneficial for reducing wait times and improving overall efficiency in situations where immediate responses are not crucial.

XML vs. JSON
Push vs. Pull Notification Systems
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On this page

Synchronous Communication

Definition

Characteristics

Use Cases

Pros and Cons

Asynchronous Communication

Definition

Characteristics

Use Cases

Pros and Cons

Key Differences

Conclusion