By ScalaBrix – Production-grade System Architecture Insights

Covering fundamentals, scalability strategies, database design, caching, and high-availability architectures — for both interview success and production excellence.
Learn how to build scalable systems, design fault-tolerant architectures, and apply real-world system design patterns to ace your next system design interview.

🛠 Build from core principles before diving into advanced systems.
📈 Progress logically from fundamentals → high-scale architectures → specialized patterns.
🎯 Focus your prep like an actual interview roadmap.

Your Journey:
1️⃣ Foundation Layer – Core building blocks & fundamentals
2️⃣ Data Mastery – Databases, caching & async workflows
3️⃣ Scale & Reliability – High-QPS, load balancing, fault tolerance
4️⃣ Domain Expertise – Real-world product architectures & case studies

Each article includes real-world trade-offs, scaling math, and production blueprints.

• 🏗 Fundamentals & Core Building Blocks
• 🗄 Database Design & High-Throughput Patterns
• ⚡ Caching, Invalidation & Read Path Acceleration
• 🧵 Async, Orchestration & Worker Architectures
• 🛰 Distributed Query, Logging & Analytics
• 📣 Feeds, Fan-Out & Notifications
• 🛡 Security, Zero-Trust & Governance
• 📶 Load Balancing, Backpressure & SLOs
• 🧭 Real-Time Detection, Counters & Monitoring
• 🧪 Code Execution, Contests & Scheduling
• 🏛 Domain Case Studies (Product Architectures)
• 🤖 Agent Era & Next-Gen Architectures
• 📊 Project Metrics
• 🤝 Contributing

#	Title	Link	What You’ll Learn	Status
1	Unlocking Scalability: Building Blocks (p1)	Read	Queues, Topics, Partitions, Consumer Groups, Offsets
2	Unlocking Scalability: Advanced Blocks (p2)	Read	Backpressure, DLQs, API reliability patterns
3	Beyond Resilience: Operational Blocks (p3)	Read	Alerting, Auto-Scaling, Self-Healing ops

#	Title	Link	What You’ll Learn	Status
1	DB Design: Multi-Tenant Data Isolation	Read	Tenant isolation in shared DBs without cost explosion
2	Rethinking Database Access: Zero-Trust & IAM	Read	IAM tokens, least privilege, real-time auth to DB
3	High Throughput Reads/Writes (Read-Write Separation)	Read	Split read vs write paths to hit 1M QPS
4	High Throughput Reads/Writes (CQRS)	Read	CQRS patterns, failover & resiliency for DB scale

#	Title	Link	What You’ll Learn	Status
1	Distributed Cache Invalidation Service	Read	Consistent invalidation across distributed nodes
2	Client-Side Caching with ETag Validation	Read	Save server load with smart validation
3	Cluster-Wide Cache Warm-Up Service	Read	Pre-warming strategies for cold-start & scale
4	Read-Heavy Service w/ Regional Cache Replicas	Read	Geo-replicated read path, low latency design

#	Title	Link	What You’ll Learn	Status
1	Designing Robust Asynchronous Operations (p1)	Read	End-to-end async flows, retries, backoffs
2	Exactly-Once Processing for Distributed Workflows	Read	Idempotency, orchestration & compensation
3	Auto-Scaling Worker Pools for Event Processing	Read	Feedback-driven elasticity, SLA-aware scaling
4	Distributed Task Scheduling Service	Read	Highly scalable scheduler architecture

#	Title	Link	What You’ll Learn	Status
1	Architecting Distributed Query Systems for Scale	Read	Search/filter/aggregate at massive scale
2	Distributed Top-K IP Query at Web-Scale	Read	Find heavy hitters across 500M+ logs
3	From Log Chaos to Order (Kafka Log Merging)	Read	Aggregating & streaming microservice logs
4	Distributed Logging Systems at Scale (p1)	Read	Multi-tenant, cost-efficient log platform

#	Title	Link	What You’ll Learn	Status
1	System Design Twitter: Scaling Timeline Writes	Read	Fan-out-on-write at Twitter scale
2	Fan-Out-on-Write (Blueprint)	Read	Single write → millions of timelines
3	High-Performance Fan-Out-on-Read	Read	Deadline-bounded aggregation; partial failures
4	Scaling Notification Fan-Out to 10M Devices	Read	Mobile push, batching, delivery guarantees
5	How a Single Post Reaches Millions	Read	Per-stage payloads & latency math for fan-out

#	Title	Link	What You’ll Learn	Status
1	Rethinking DB Access: Zero-Trust & IAM Tokens	Read	Live, least-privilege access to data
2	Distributed API Key Revocation Service	Read	Instant key revocation across infra

#	Title	Link	What You’ll Learn	Status
1	Enterprise-Grade Load Balancing Architecture	Read	Multi-layer LBs, failover, autoscaling, obs.
2	Handling Backpressure in Video Streaming	Read	Smoothing producers/consumers under load
3	Deep Dive into 1M RPS API Design	Read	Throughput, latency, HA & cost trade-offs

#	Title	Link	What You’ll Learn	Status
1	Distributed Anomaly Count: Detecting API Spikes	Read	Multi-node spike/traffic surge detection
2	Counting Every Click: Real-Time View Counters	Read	Live counters with accuracy & low latency
3	Assigning 100K Unique Timestamps/sec	Read	Global ordering & clock contention control

#	Title	Link	What You’ll Learn	Status
1	On-Demand Code Execution System (Part 1)	Read	Event-driven workers, sandboxing, isolation
2	On-Demand Code Execution System (Part 2)	Read	Secure execution, retries, failure workflows
3	Coding Contest & Leaderboard	Read	Concurrency at scale, ranking pipelines
4	Distributed Task Scheduling Service	Read	Time-based & event-driven scheduling at scale

#	Title	Link	What You’ll Learn	Status
1	Payment Wallet	Read	Microservice design for wallet/payments
2	Ticket Booking System	Read	Inventory, concurrency & seat locking
3	Content Aggregator (News/Articles)	Read	Crawling, indexing, ranking, feeds
4	Online Forum (Part 1)	Read	Real-time, caching & moderation flows

#	Title	Link	What You’ll Learn	Status
1	The Blueprint: Modern System Design for the Agent Era (2025+)	Read	Layered, production-ready agent platform
2	Repackaging Microservices into Single-Tenant Monoliths	Read	Isolation + shared control/observability planes
3	Distributed Prime Number Finder	Read	Billion-scale parallel compute blueprint

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