Federated Identity: One Login to Rule Them All
Delegate authentication to external identity providers to simplify development, reduce administrative overhead, and improve user experience across multiple applications and organizations.
Archive: 2019
Health Endpoint Monitoring: Keeping Your Services Alive and Well
Implement health checks through dedicated endpoints to monitor application availability and performance. Learn how to verify your services are running correctly before users discover problems.
The Publisher-Subscriber Pattern: Decoupling Communication at Scale
Enable applications to announce events to multiple consumers asynchronously without coupling senders to receivers. Learn how pub/sub messaging improves scalability and reliability.
Gateway Aggregation Pattern: Reducing Network Chattiness
Combine multiple backend requests into a single call through a gateway. Learn how this pattern reduces network overhead and improves performance in distributed systems.
The Sharding Pattern: Scaling Data Stores Horizontally
Divide your data store into horizontal partitions to improve scalability and performance. Learn how sharding distributes data across multiple servers to handle massive volumes.
The Sidecar Pattern: Extending Applications Without Touching Code
Deploy supporting components alongside your application in separate containers. Learn how the Sidecar pattern enables isolation, encapsulation, and heterogeneous technology stacks.
Strangler Fig Pattern: Pattern or Strategy?
Incrementally migrate legacy systems by gradually replacing functionality with new services. But is Strangler Fig truly a pattern, or is it a migration strategy? Let's explore this architectural approach and its philosophical classification.
Materialized View Pattern: Optimizing Query Performance Through Precomputed Data
Learn how the Materialized View pattern improves query performance by precomputing and storing data in formats optimized for specific queries, and how it differs from database materialized views.
The Claim-Check Pattern: Handling Large Messages in Distributed Systems
Learn how the Claim-Check pattern solves the challenge of transferring large payloads in messaging systems by storing data externally and passing lightweight tokens instead.
Retry Pattern: Building Resilient Applications
Learn how the Retry pattern helps applications handle transient failures gracefully, improving stability and user experience in distributed systems.
Anti-Corruption Layer Pattern: Protecting Your Modern Architecture
Learn how the Anti-Corruption Layer pattern helps you integrate legacy systems with modern applications without compromising your clean architecture design.
Rate Limiting Pattern: Efficiently Managing Throttled Services
Learn how the rate limiting pattern helps you avoid throttling errors and improve throughput when working with services that impose usage limits.