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?
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
What are DDoS Attacks?

A Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt normal traffic of a targeted server, service, or network by overwhelming the target or its surrounding infrastructure with a flood of Internet traffic. DDoS attacks achieve effectiveness by utilizing multiple compromised computer systems as sources of attack traffic. These systems can include computers and other networked resources such as IoT devices.

How DDoS Attacks Work

  • How It Happens: Hackers use a network of compromised computers and devices (botnets) to send a flood of internet traffic to a target, like a website or server.
  • Goal: To overload the server's capacity to handle requests, causing slow service or complete shutdown.
  • Types: Volume-based attacks (overwhelming bandwidth), protocol attacks (targeting server resources), and application layer attacks (targeting web applications).

Common Types of DDoS Attacks

  • Volumetric Attacks: The most common form, these attacks flood the network with a substantial amount of traffic.
  • Protocol Attacks: These target network layer or transport layer protocols to consume server resources or bandwidth.
  • Application Layer Attacks: These are more sophisticated, targeting specific aspects of an application or server.

Mitigation Strategies

  1. Network Redundancy: Having multiple pathways for network traffic can help avoid single points of failure.
  2. DDoS Protection Services: These services can detect and mitigate DDoS attacks, often through large-scale network infrastructure capable of absorbing and diffusing attack traffic.
  3. Firewalls and Anti-DDoS Software: Implementing advanced firewall systems and specific anti-DDoS software can help identify and block attack traffic.
  4. Traffic Analysis: Continuously monitoring network traffic can help in identifying anomalies indicative of a DDoS attack.
  5. Responsive Plan: Having a response plan in place, including procedures for identifying, mitigating, and recovering from an attack, is crucial for minimizing damage.
  6. Good Security Hygiene: Regularly updating security protocols and educating users about the risks of malware can help reduce the number of devices that can be used in DDoS attacks.
  7. Scalable Infrastructure: Utilizing cloud services with the ability to scale rapidly can absorb and disperse high traffic loads during an attack.

Mitigating a DDoS attack involves both preventative measures and reactive strategies. It's about having a robust defense to either prevent the traffic jam or clear it quickly if it happens. Regularly updating security protocols and being prepared to respond swiftly are key to minimizing the impact of such attacks.

What is Encryption?
Introduction to Messaging System
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On this page

How DDoS Attacks Work

Common Types of DDoS Attacks

Mitigation Strategies