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title: Best Joud Awad posts — July 2026 | daily.dev
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og:description: The most upvoted Joud Awad posts from July 2026, curated by the daily.dev community.
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# Best of Joud Awad — July 2026

1. 1  
[](https://daily.dev/posts/free-e-book-with-60-scenario-based-system-design-interview-questions-5mpw8iefc "Free e-book with 60 scenario-based system design interview questions")  
Article  
![Avatar of iac4jsbu0lv8wbsc85fsh](https://media.daily.dev/image/upload/s--dOB9RaXY--/f_auto/v1773320801/avatars/avatar_iaC4JsBU0lV8wBsc85fSh?_a=BAMAMiiu0)Joud Awad · 9w  
Free e-book with 60 scenario-based system design interview questions  
A free e-book of 60+ scenario-based system design interview questions, designed to go beyond memorizing architectures and focus on tradeoffs — like handling 10x traffic, eventual consistency costs, and queue usage patterns. Questions range from beginner-friendly to advanced, useful both for interview prep and for pressure-testing assumptions in production systems.  
540  
106
2. 2  
[](https://daily.dev/posts/day-1-30-aws-system-design-patterns-mkhcecn0y "Day 1/30 AWS System Design Patterns")  
Article  
![Avatar of iac4jsbu0lv8wbsc85fsh](https://media.daily.dev/image/upload/s--dOB9RaXY--/f_auto/v1773320801/avatars/avatar_iaC4JsBU0lV8wBsc85fSh?_a=BAMAMiiu0)Joud Awad · 7w  
Day 1/30 AWS System Design Patterns  
A gaming platform leaderboard stored in DynamoDB experiences ThrottlingException errors and high P99 latency on reads for a single dominant game ('battle-royale'), despite CloudWatch showing consumed RCUs well below provisioned capacity. Doubling provisioned RCUs fails to resolve the issue. The root cause is a hot partition: when traffic concentrates on a single partition key, that partition hits its own throughput ceiling regardless of total table-level RCU headroom. The correct answer is C — per-partition limits apply independently of aggregate table provisioning.  
298  
67
3. 3  
[](https://daily.dev/posts/60-60-days-system-design-questions-flzgx5ght "60/60 Days System Design Questions")  
Article  
![Avatar of iac4jsbu0lv8wbsc85fsh](https://media.daily.dev/image/upload/s--dOB9RaXY--/f_auto/v1773320801/avatars/avatar_iaC4JsBU0lV8wBsc85fSh?_a=BAMAMiiu0)Joud Awad · 10w  
60/60 Days System Design Questions  
A system design challenge posing the classic architecture decision for a new SaaS platform needing 50,000 RPS, multi-tenancy, real-time data, global users, and AI inference. Four architectural approaches are presented: distributed microservices from day one, a modular monolith with incremental extraction, serverless with Lambda/DynamoDB/SQS, and event-driven architecture with Kafka as the backbone. This is framed as the final entry in a 60-day system design series, inviting engineers to debate the tradeoffs.  
203  
45
4. 4  
[](https://daily.dev/posts/57-60-days-system-design-questions-niduayotf "57/60 Days System Design Questions")  
Article  
![Avatar of iac4jsbu0lv8wbsc85fsh](https://media.daily.dev/image/upload/s--dOB9RaXY--/f_auto/v1773320801/avatars/avatar_iaC4JsBU0lV8wBsc85fSh?_a=BAMAMiiu0)Joud Awad · 10w  
57/60 Days System Design Questions  
A system design challenge presents a high-traffic scenario with 50k writes/sec and 500k reads/sec on a Postgres setup with one primary and two async replicas. The problem: a payment confirmation flow reads stale data from a replica due to 80–300ms replication lag. Four options are presented to achieve read-after-write consistency without sacrificing write throughput: synchronous replication, semi-sync replication, routing payment reads to the primary, or adding a sleep delay after writes.  
167  
22
5. 5  
[](https://daily.dev/posts/56-60-days-system-design-questions-wphlukni9 "56/60 Days System Design Questions")  
Article  
![Avatar of iac4jsbu0lv8wbsc85fsh](https://media.daily.dev/image/upload/s--dOB9RaXY--/f_auto/v1773320801/avatars/avatar_iaC4JsBU0lV8wBsc85fSh?_a=BAMAMiiu0)Joud Awad · 10w  
56/60 Days System Design Questions  
Long-running background jobs break assumptions built for synchronous APIs. Using a video upload scenario (2–8 minutes, millions of users), four client notification strategies are compared: polling, webhooks, SSE/WebSocket, and synchronous wait. Beyond transport choice, four critical design problems are highlighted that teams typically get wrong: idempotency (safe retries), progress granularity (meaningful intermediate states), distinguishing timeout from failure (heartbeats/visibility timeouts), and deduplication (scoped dedup keys to prevent double-processing).  
152  
27

[See all Joud Awad archives](/sources/iaC4JsBU0lV8wBsc85fSh/best-of)

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