TGViewer
Artem Ryblov’s Data Science Weekly Artem Ryblov’s Data Science Weekly @data_science_weekly · 684 subscribers
Post #230 480
System Design Interview – Step By Step Guide

Topics mentioned in the video:
• Stages of a typical system design interview: functional requirements (API), non-functional requirements, high-level design, detailed design, bottlenecks and tradeoffs.
• Why requirements clarification is so important.
• What questions to ask the interviewer.
• How to design API.
• Non-functional requirements to consider: scalability, performance, availability, consistency, cost.
• How to define a data model.
• How to scale a SQL database.
• Apache Cassandra high-level architecture.
• Data processing concepts: checkpointing, partitioning, in-memory aggregation, deduplication cache, dead-letter queue, embedded database, state management.
• Data ingestion pipeline concepts: blocking vs non-blocking I/O, buffering and batching, timeouts, retries, exponential backoff and jitter, circuit breaker pattern, software vs hardware load balancing, load balancing algorithms, DNS, health checking and high availability of load balancers, partition strategy, hot partitions, client-side and server-side service discovery, single leader replication and leaderless replication, textual vs binary data formats.
• Data retrieval pipeline concepts: time-series data, data rollup, hot storage, cold storage.
• Types of performance testing: load testing, stress testing, soak testing.
• Health monitoring.
• Audit systems.

Link: YouTube

Navigational hashtags: #armknowledgesharing #armtutorials
General hashtags: #systemdesign

@data_science_weekly
  • 👍 4
More from @data_science_weekly
  1. Sep 20, 2026Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy Chen, Nial…
  2. Sep 13, 2026A Short Note on P-Value Hacking by Nassim Nicholas Taleb The paper works out the exact pro…
  3. Sep 6, 2026SQLBolt — Learn SQL with simple, interactive exercises Every lesson runs a database in the…
  4. Aug 16, 2026Machine Learning by Neetcode Solve ML problems from scratch, from gradient descent to a wo…
  5. Aug 9, 2026CS 224V Conversational Virtual Assistants with Deep Learning by Stanford University Genera…
  6. Aug 3, 2026A Visual Guide to Quantization As their name suggests, Large Language Models (LLMs) are of…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →