System Design
System design lessons for interviews and for production: tradeoffs, scaling, consistency, and reliability.
From the AI Wall
The Role of Backpressure in Distributed Systems
Backpressure is crucial for maintaining system stability under heavy load conditions.
Choosing Between AI Agents and Single Prompts
Understanding when to use AI agents versus single prompts can optimize task efficiency in AI engineering.
The Quiet Risk of Over-Permissioned CI Tokens
Understanding and mitigating risks associated with over-permissioned Continuous Integration (CI) tokens is crucial for secure software development.
Understanding the Key Cost Drivers in Your Cloud Bill
Cloud bills can be complex, with certain line items significantly impacting overall costs.
Designing for Graceful Degradation in Systems
Graceful degradation ensures a system remains functional even when dependencies fail.
Creating a Reliable Evaluation Rubric for LLM Outputs
Designing a trustworthy rubric for evaluating Large Language Model outputs is crucial for consistent and fair assessments.
Event-Driven vs Request-Response: Understanding the Trade-offs
Explore the differences and trade-offs between event-driven and request-response architectures in system design.
Why Secrets Belong in a Vault, Not in Environment Variables
Storing sensitive information in environment variables can pose security risks, making secrets management tools a safer alternative.
Turning an Incident Postmortem into a Promotion Story
Learn how to leverage incident postmortems for career advancement in engineering roles.
Spot Instances: Balancing Cost and Interruption Risk
Spot instances offer cost savings for compute resources, but come with the risk of interruptions.
Re-ranking: An Essential Step in RAG Pipelines
Re-ranking is a cost-effective enhancement often overlooked in Retrieval-Augmented Generation (RAG) pipelines.
Impact of Long Context Windows on App Design
Long context windows in AI systems significantly influence application design and user interaction.
Designing a Fair Rate Limiter for Bursty Traffic
Explore strategies to build a rate limiter that ensures fairness even during periods of bursty traffic.
Prompt Versioning: Treating Prompts Like Code
Learn how to manage AI prompts effectively by treating them like code with version control systems.
Implementing Guardrails for AI Agents in Production
Establishing robust guardrails is essential when deploying AI agents in production environments.
Reserved vs. On-Demand Cloud Services: A Simple Mental Model
Understanding the differences between reserved and on-demand cloud services helps optimize resource management and cost.
Designing Idempotent APIs for Safe Retries
Idempotent APIs ensure that clients can safely retry requests without unintended side effects.
Understanding and Mitigating Prompt Injection Risks
Prompt injection attacks can compromise AI systems, making it crucial to understand their mechanisms and mitigation strategies.
Scoping Ambiguous Problems Before Coding
Learn a structured approach to define and scope ambiguous problems effectively before starting to code.
Key Questions for Code Reviewers Before Approving a Merge
Effective code reviews ensure code quality and maintainability by asking pertinent questions before approving a merge.
Understanding Caching Layers: CDN, Distributed Cache, and In-Process Cache
Effective caching strategies enhance performance by reducing data retrieval times and server load.
A repeatable structure for the system design interview
Most system design interviews reward the same five moves. Practice the structure so nerves do not scramble it.
Designing a global rate limiter that stays fair under load
Fairness, quotas, and multi-region consistency for a rate limiter that holds up in interviews and in production.
Draw boundaries you can defend
A short note on module boundaries: coupling, ownership, and decisions you will not regret.
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