Modern Cloud Native System Design

Explore how DNS translates names to IPs, TCP vs UDP trade-offs, HTTP and WebSockets, CDNs for global delivery, and rate limiting to keep systems stable.

Distribute user requests across multiple servers with a load balancer, using round robin, least connections, and consistent hashing to ensure resilience, security, and seamless user experiences.

Explore how multi-layer caching speeds web apps by detailing client side, CDN, application, and database caches, TTL strategies, and write-through versus write-back, with Netflix as an example.

View databases as perfectly organized libraries, using tables, indexes, and replication strategies like partitioning, sharding, and master-slave or multi-master to balance availability, consistency, and the CAP theorem.

Explore how messaging and queuing systems power modern cloud native apps, from one-to-one queues to publish-subscribe events, with idempotency and eventual consistency ensuring reliable e-commerce flows.

Explore how distributed systems coordinate across nodes to reach consensus, elect leaders, replicate data, and use quorum, time synchronization, and vector clocks, principles embodied by Google Spanner.

Compare monolith and microservices architectures, then explore service discovery, api gateway, event sourcing, and the saga pattern to build scalable, resilient systems.

Discover data processing patterns behind online services like Netflix, from batch processing and stream processing to the lambda architecture, and how MapReduce scales analysis for billions of events.

Explore how to design reliable, resilient cloud native systems using circuit breakers, backoff retries, and graceful degradation, tested with chaos engineering to meet SLIs, SLOs, and SLAs.

Learn how to design scalable systems using stateless services, partitioning, replication, caching, and asynchronous processing, then deploy global CDNs for fast, reliable applications like Netflix.

Design a global url shortener that takes long urls, produces unique short keys, and redirects instantly under 50 milliseconds while staying always on and scalable to billions.

Designs an ultra-fast, globally scalable Instagram-like feed by separating image storage from metadata, using a hybrid push-pull feed, a CDN, and caching to deliver photos in under 200 milliseconds.

Explore how real-time chat systems like WhatsApp or Slack are built, from persistent connections and a durable message broker to routing, storage, and offline delivery with end-to-end encryption.

Scale systems through stateless services and key patterns: partitioning, replication, caching, and asynchronous processing. Leverage CDNs to deliver video globally, as Netflix demonstrates.

Explore data engineering at scale with data pipelines, real-time analytics, and the data lake to data warehouse model. Understand schema on read vs on write and Netflix's real-time data use.

Authenticate and authorize with RBAC and OAuth 2.0 tokens, protect data with encryption in transit and at rest, defend with DDoS protection and rate limiting, and follow compliance standards.

Discover how cloud native design uses serverless architecture, kubernetes orchestration, and infrastructure as code to build scalable, observable apps with lambda functions, api gateways, dynamodb, and terraform.

Learn how observability unlocks visibility into complex systems by using logs, metrics, and traces, then visualize with dashboards and alert on meaningful issues to reduce incident resolution time.

Explore how event-driven architecture augments security operations by using AI as a tireless sentinel that filters alerts and enables proactive threat hunting.

Balance performance and cost in cloud systems by caching, sharding, lazy loading, and batching, then optimize with autoscaling, serverless versus VM choices, and data archiving.

Discover serverless architecture, its no-server management, auto-scaling, and pay-per-use compute with AWS Lambda and Azure Functions, plus orchestration with Step Functions and EventBridge for decoupled event-driven workflows.

Design a hybrid cloud by combining on-prem data with cloud services like AWS, Azure, and GCP, using load balancers to balance security, performance, and resilience in multi-cloud deployments.

Decode a professional AWS blueprint for building a high-availability app: VPC across two availability zones, public and private subnets, and components like application load balancer, RDS, and elastic cache.

Learn how faster Amazon EC2 Auto Scaling uses high resolution metrics and the CloudWatch agent to scale in seconds, delivering speed, savings, and simplicity.

Unify log data at scale with a centralized, secure AWS logging hub. Learn a pipeline—from CloudWatch to Firehose to S3—encrypted with KMS and automated via Terraform—for insights and compliance.

Learn to transform unstructured media archives into a searchable, conversational knowledge base using AWS Transcribe, Bedrock, and QuickSight, enabling AI-driven insights and interactive dashboards.

Discover a scalable video on demand pipeline with two AWS paths: a simple foundation for fast encoding and a feature-rich advanced solution with drm, archiving, and step functions.

Discover how to build a scalable, production-ready MVP for free on AWS using a three-tier architecture with S3, CloudFront, Cognito, API Gateway, Lambda, and DynamoDB.

Audit your current stateful app, move user and session data to external stores, and adopt auto scaling and serverless AWS services to achieve scalable, reliable, cost-efficient stateless design.

Discover how a global student platform achieved 75% faster performance in three weeks without replacing its monolith, via global delivery, consistent data, scalable apps, and seamless integration.

Design a scalable WordPress hosting blueprint on Azure Kubernetes Service, using Azure Front Door, Azure NetApp Files, and Azure Database for MySQL to ensure reliability, security, performance, and cost optimization.

Turn conversations into a searchable knowledge base with an AI listening engine that gathers data, analyzes sentiment, and enables vectorized, meaning-based search.

Automate pdf forms processing with Azure AI Document Intelligence, Logic Apps, and Azure Functions to convert unstructured documents into json data for dashboards.

Explore near real-time analytics by adding a parallel analytics lane beside oltp, using Azure Service Bus, Azure Functions or aks, and Data Explorer for dashboards with Power BI or Grafana.

Build a phase zero base camp for the first 100 users with a five-part stack: spa on a CDN, lean backend, managed database, cache, and observability, plus auto scaling.

Scale to 10k users by offloading static content to a CDN, auto-scaling backends, caching, and read replicas with partitioning, while optimizing costs and measuring health metrics like latency and throughput.

Scale from 1,000 to 100,000 users by fortifying architecture, adopting horizontal scaling and sharding, and optimizing the CDN with origin shielding and signed URLs while setting up cost-aware monitoring.

Master scaling to a million users by deploying a hybrid architecture (serverless and containers) and a three-layer speed strategy (edge CDN, regional caching, multi-region reads), while enforcing disciplined cost governance.