#Scalability

Articles about Scalability — exploring patterns, best practices, and real-world implementations in production systems.

3 posts tagged with scalability. ← All posts

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Pratik Dhanave · ·15 min read

Designing a System End to End

The capstone — one problem, a home-timeline feed, designed the whole way through with the method from post one: clarify, estimate, contract, then high-level to deep-dive to bottleneck, naming the trade-off at every step and drawing on all seven earlier posts.

The capstone: one worked design end to end — requirements, estimation, API and data model, high-level architecture, and deep dives applying the whole series (scaling, caching, sharding, consistency, async, reliability) with explicit trade-offs.

#System Design#Architecture#Case Study#Scalability#Distributed Systems#APIs
Pratik Dhanave · ·15 min read

Scaling Fundamentals

How systems grow under load — vertical vs horizontal scaling, why statelessness is the real enabler, load balancing from L4 to L7, consistent hashing, read/write scaling, the scale cube, and when the honest answer is "don't scale yet."

How systems grow: vertical vs horizontal scaling, statelessness as the enabler of horizontal scale, load balancing (L4/L7, consistent hashing), read/write scaling with replicas — and knowing when not to scale.

#System Design#Scalability#Load Balancing#Architecture#Distributed Systems
Pratik Dhanave · ·12 min read

How to Approach System Design

A repeatable method for designing systems and acing the design interview — clarify requirements, estimate on the back of an envelope, pin down the API and data model, then work high-level to deep-dive to bottleneck, always naming the trade-off.

The opener to a system-design series: a repeatable method rather than a grab-bag of components — clarifying functional vs non-functional requirements, back-of-the-envelope estimation with the latency numbers every engineer should know, and the trade-off-driven design flow.

#System Design#Architecture#Scalability#Distributed Systems

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.