The Product Playbook

Systems. Strategy. Scale.
Where infrastructure meets product thinking

Welcome to my Product Management journal — where infrastructure meets product.
I write about building scalable systems, translating deep tech into real outcomes, and leading products where engineering meets strategy.
These are battle-tested lessons from systems I’ve built, scaled, and shipped.

🧠 TPM Strategy

Building roadmaps with technical depth. Driving alignment across teams. Owning outcomes over activity.

⚙️ System Design

Real-world architectural decisions. Scaling infrastructure. Making trade-offs under constraints.
This blog series, System Design Fundamentals, serves as a comprehensive guide to understanding key system design concepts.

📚 Introduction

System design is an essential skill for any technical professional, especially for those aiming to excel in roles related to architecture, scalability, and performance optimization. Whether you are a Technical Product Manager (TPM), a software engineer, or someone interested in building scalable and reliable systems, mastering system design concepts is crucial.

 

 

System Design Fundamentals

  1. Introduction to System Design

  2. Introduction to Load Balancing

  3. Load Balancing Algorithms

  4. Uses of Load Balancing

  5. Load Balancer Types

  6. Stateless vs. Stateful Load Balancing

  7. High Availability and Fault Tolerance

  8. Scalability and Performance

  9. Challenges of Load Balancers

  10. Introduction to API Gateway

  11. Usage of API Gateway

  12. Advantages and Disadvantages of API Gateway

  13. Scalability

  14. Availability

  15. Latency and Performance

  16. Concurrency and Coordination

  17. Monitoring and Observability

  18. Resilience and Error Handling

  19. Fault Tolerance vs. High Availability

  20. HTTP vs. HTTPS

  21. TCP vs. UDP

  22. HTTP Versions (1.0, 1.1, 2.0, 3.0)

  23. URL vs. URI vs. URN

  24. Introduction to DNS

  25. DNS Resolution Process

  26. DNS Load Balancing and High Availability

  27. Introduction to Caching

  28. Why is Caching Important?

  29. Types of Caching

  30. Cache Replacement Policies

  31. Cache Invalidation

  32. Cache Read Strategies

  33. Cache Coherence and Consistency Models

  34. Caching Challenges

  35. Cache Performance Metrics

  36. Content Delivery Networks (CDN)

  37. Origin Server vs. Edge Server

  38. CDN Architecture

  39. Push CDN vs. Pull CDN

  40. Introduction to Data Partitioning

  41. Partitioning Methods

  42. Data Sharding Techniques

  43. Benefits of Data Partitioning

  44. Common Problems Associated with Data Partitioning

  45. What is a Proxy Server?

  46. Uses of Proxy Servers

  47. VPN vs. Proxy Server

  48. What is Redundancy?

  49. What is Replication?

  50. Data Backup vs. Disaster Recovery

  51. Introduction to CAP Theorem

  52. Components of CAP Theorem

  53. Trade-offs in CAP Theorem

  54. Examples of CAP Theorem in Practice

  55. Beyond CAP Theorem

  56. System Design Trade-offs in Interviews

  57. Introduction to Databases

  58. SQL Databases

  59. NoSQL Databases

  60. SQL vs. NoSQL

  61. ACID vs. BASE Properties

  62. Real-World Examples and Case Studies

  63. SQL Normalization and Denormalization

  64. In-Memory Database vs. On-Disk Database

  65. Data Replication vs. Data Mirroring

  66. Database Federation

  67. What are Indexes?

  68. Types of Indexes

  69. Introduction to Bloom Filters

  70. How Bloom Filters Work

  71. Benefits & Limitations of Bloom Filters

  72. Variants and Extensions of Bloom Filters

  73. Applications of Bloom Filters

  74. Difference Between Long-Polling, WebSockets, and SSE

  75. What is Quorum?

  76. What is Heartbeat?

  77. What is Checksum?

  78. Uses of Checksum

  79. Leader and Follower Pattern

  80. Introduction to Messaging Systems

  81. Introduction to Kafka

  82. Messaging Patterns

  83. Popular Messaging Queue Systems

  84. RabbitMQ vs. Kafka vs. ActiveMQ

  85. Scalability and Performance

  86. What is a Distributed File System?

  87. Architecture of a Distributed File System

  88. Batch Processing vs. Stream Processing

  89. XML vs. JSON

  90. Synchronous vs. Asynchronous Communication

  91. Push vs. Pull Notification Systems

  92. Microservices vs. Serverless Architecture

  93. Message Queues vs. Service Bus

  94. Stateful vs. Stateless Architecture

  95. Event-Driven vs. Polling Architecture

Stay tuned as we dive deep into each of these topics, breaking down complex concepts into easy-to-understand explanations. Whether you are a beginner or an experienced TPM, this series will help you build a strong foundation in system design.

Let’s get started! 🚀

Let me know if you would like me to expand on any specific section or add more insights! 😊

Load Balancing
1.Introduction to Load Balancing

 

🚀 Product Execution

Getting things done when stakes are high. Delivering with clarity, speed, and zero hand-waving.

🧩 Product Thinking

Developer empathy. Product intuition. Designing tools engineers actually want to use.

🛡️ Infra & Security

Observability, performance, and platform-level defenses — built from the inside out.

💬 Leadership & Teaming

Influence without authority. Navigating conflicts. Building trust across functions.

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