System Design Patterns
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Reliability
No more single point of failure. Use the publisher subscriber pattern
Never miss a payment again. The system design pattern every distributed system needs
The Competing Consumers Pattern
Azure Functions Competing For The Messages In Azure Service Bus
Autoscaling Takes Time. Meet Your SLA While Preserving Cost - The Throttling Pattern
The Auto Scaling Pattern
Decouple Your Application Processing with Queueing
Legacy Modernization
Modernizing your monolithic application? You need the anti-corruption layer.
Modernize Your Legacy System Incrementally - Follow The Strangler Fig Pattern
Integrate Legacy Systems With Minimal Need for Modification - Use the Messaging Bridge Pattern
Operations
Things Are Fine Until You Add a Mobile App. Meet The Backends For Frontends Pattern
The Backend For Frontend Is Not Your API Gateway
The External Configuration System Pattern
External Configuration System Example: Azure Key Vault
Centralized Logging Tradeoffs Analysis
Cost Optimization
Stop Sending Large Messages Through Your Message Broker - Use The Claim-Check Pattern
Claim-Check Examples: AWS SQS Extended Client SDK, Azure Serverless (ASB, Blobs, Event Grid, Functions)
Security
Building Your Own Identity Service Is Hard - Use The Federated Identity Pattern
Federated Identity Example: Azure Active Directory
The Gatekeeper Pattern
Gatekeeper Example: Azure Application Gateway, VNets, ASE
Gatekeeper Example: AWS WAF, NLB, EC2, Elastic Beanstalk, VPC, PrivateLink
The Valet Key Pattern
The Real Reasons Three-Tier Architecture Is Still Used.
Performance
The Static Content Hosting Pattern
The Easiest Way to Increase Our Application Throughput
The Cache-aside Pattern
Optimizing the services communication with gRPC protocol
Maintainability
The Humble Object Pattern
Don’t Make This Common Software Design Mistake!
The Gateway Pattern
Data
Dealing with Huge Data Tables: Millions of Records Slowing Our Business
Why Relational Databases Are NOT Scalable By Default
The Cure to RDBMS Scalability Limitation: Database Replication & CQRS
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The Cure to RDBMS Scalability Limitation: Database Replication & CQRS
The Cure to RDBMS Scalability Limitation: Database Replication & CQRS
System Design Patterns
Buy now
Learn more
Reliability
No more single point of failure. Use the publisher subscriber pattern
Never miss a payment again. The system design pattern every distributed system needs
The Competing Consumers Pattern
Azure Functions Competing For The Messages In Azure Service Bus
Autoscaling Takes Time. Meet Your SLA While Preserving Cost - The Throttling Pattern
The Auto Scaling Pattern
Decouple Your Application Processing with Queueing
Legacy Modernization
Modernizing your monolithic application? You need the anti-corruption layer.
Modernize Your Legacy System Incrementally - Follow The Strangler Fig Pattern
Integrate Legacy Systems With Minimal Need for Modification - Use the Messaging Bridge Pattern
Operations
Things Are Fine Until You Add a Mobile App. Meet The Backends For Frontends Pattern
The Backend For Frontend Is Not Your API Gateway
The External Configuration System Pattern
External Configuration System Example: Azure Key Vault
Centralized Logging Tradeoffs Analysis
Cost Optimization
Stop Sending Large Messages Through Your Message Broker - Use The Claim-Check Pattern
Claim-Check Examples: AWS SQS Extended Client SDK, Azure Serverless (ASB, Blobs, Event Grid, Functions)
Security
Building Your Own Identity Service Is Hard - Use The Federated Identity Pattern
Federated Identity Example: Azure Active Directory
The Gatekeeper Pattern
Gatekeeper Example: Azure Application Gateway, VNets, ASE
Gatekeeper Example: AWS WAF, NLB, EC2, Elastic Beanstalk, VPC, PrivateLink
The Valet Key Pattern
The Real Reasons Three-Tier Architecture Is Still Used.
Performance
The Static Content Hosting Pattern
The Easiest Way to Increase Our Application Throughput
The Cache-aside Pattern
Optimizing the services communication with gRPC protocol
Maintainability
The Humble Object Pattern
Don’t Make This Common Software Design Mistake!
The Gateway Pattern
Data
Dealing with Huge Data Tables: Millions of Records Slowing Our Business
Why Relational Databases Are NOT Scalable By Default
The Cure to RDBMS Scalability Limitation: Database Replication & CQRS
Learning checks
Check your knowledge
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