Building a Robust Reservation System with Event-Driven Architecture

Building a Robust Reservation System with Event-Driven Architecture In this post, I’ll guide you through creating a scalable reservation system using event-driven architecture. We’ll explore domain modeling, event handling, and message processing - essential concepts for modern distributed systems. The Reservation Process Flow Let’s start by visualizing the reservation workflow with a Mermaid diagram: flowchart TD A[Start Reservation Process] --> B[Receive Reservation Request] B --> C{Validate Request} C -->|Valid| D[Check Availability] C -->|Invalid| E[Return Error to Client] D --> F{Availability?} F -->|Available| G[Create Reservation] F -->|Not Available| H[Notify Client of Unavailability] G --> I[Send Confirmation via Wolverine] H --> I I --> J[Store Reservation in Postgres] J --> K[Return Success Response to Client] E --> L[End Process] K --> L This diagram shows the end-to-end process from receiving a request to returning a response, with key decision points and actions along the way. ...

April 2, 2025 · 5 min · Taner

Building a Robust Reservation System: A Step-by-Step Guide

1. Define Your Requirements Before diving into code, clarify the system’s core functionalities. For a reservation system, we might consider: Booking Management: Creating, updating, and canceling reservations. Availability Checking: Ensuring that double-booking or conflicts are prevented. Customer Management: Handling user details, authentication, and notifications. Resource or Venue Management: Tracking the items or spaces being reserved. Concurrency Control: Managing simultaneous booking attempts (e.g., using transactions and locks). Understanding these requirements will help guide your design decisions. ...

April 2, 2025 · 5 min · Taner

Designing Event-Based Systems with Wolverine: A Comprehensive Guide

Designing an event-based system with Wolverine is an exciting challenge that leverages asynchronous messaging to decouple components and build a resilient architecture. Here’s a comprehensive pathway to help you get started: 1. Understand the Role of Wolverine Wolverine is a lightweight, .NET-native messaging framework designed to help you craft robust, event-driven applications. It facilitates: Message Routing: Seamlessly route events and commands to corresponding handlers. Transport Flexibility: Integrate with in-memory queues or external messaging systems such as RabbitMQ or Azure Service Bus. Resilience and Durability: Apply advanced patterns like retry, scheduling, and outbox support if needed. By using Wolverine, you can focus on business logic while the framework handles much of the messaging infrastructure. ...

April 2, 2025 · 4 min · Taner

Business Event Flow Diagram: Reservation System

Here’s an example of a Business Event Flow Diagram tailored to a reservation system, illustrating how a typical business event (e.g., “Customer makes a reservation”) flows through the organization: flowchart TD %% Event Trigger Customer[Customer Initiates Reservation] --> SubmitRequest[Submit Reservation Request] SubmitRequest --> ValidateInputs[Validate Input Data] ValidateInputs -->|Valid| CheckAvailability[Check Resource Availability] ValidateInputs -->|Invalid| RejectRequest[Reject Request with Error] CheckAvailability -->|Available| ProcessReservation[Process Reservation] CheckAvailability -->|Not Available| NotifyUnavailability[Notify Customer of Unavailability] ProcessReservation --> CreateEvent[Create Business Event: ReservationCreated] CreateEvent --> NotifyCustomer[Send Confirmation Notification] CreateEvent --> UpdateDB[Update Reservation Database] NotifyCustomer --> End[End] UpdateDB --> End[End] NotifyUnavailability --> End[End] RejectRequest --> End[End] Key Elements: Event Trigger: The workflow begins when the customer initiates the reservation request. ...

April 2, 2025 · 1 min · Taner

Understanding CQRS: Command Query Responsibility Segregation

Understanding CQRS: Command Query Responsibility Segregation Command Query Responsibility Segregation (CQRS) is an architectural pattern that separates read and write operations into distinct models. This separation allows for optimization of each model independently, addressing different requirements and scaling needs. Core Components of CQRS flowchart TD Client[Client Application] --> Commands[Commands] Client --> Queries[Queries] Commands --> CommandHandler[Command Handler] Queries --> QueryHandler[Query Handler] CommandHandler --> WriteModel[Write Model/Domain Model] WriteModel --> EventStore[Event Store] EventStore --> ReadModelProjection[Read Model Projection] ReadModelProjection --> ReadModel[Read Model] QueryHandler --> ReadModel ReadModel --> QueryResults[Query Results] QueryResults --> Client Key Components and Their Responsibilities: Commands: Instructions to change state (e.g., CreateOrder, UpdateCustomer). Queries: Requests for information without state changes. Command Handler: Processes commands and applies them to the write model. Write Model: The domain model with rich business logic. Event Store: Records all state-changing events as the source of truth. Read Model Projection: Processes events to update the read model. Read Model: Optimized for querying, often denormalized for performance. Query Handler: Retrieves data from the Read Model in response to queries. The separation of write and read models allows for independent optimization, scalability, and security for both operations. ...

March 28, 2025 · 2 min · Taner

Exploring Major Software Architecture Patterns: A Comprehensive Guide

Exploring Major Software Architecture Patterns: A Comprehensive Guide Here are 20 major software architecture patterns along with brief explanations: Layered (N-Tier) Architecture: Organizes software into layers, each with a specific responsibility, such as presentation, business logic, and data access. This separation enhances maintainability and scalability. Microservices Architecture: Breaks down an application into small, independent services that communicate over a network. This allows for flexible scaling and deployment. Event-Driven Architecture (EDA): Uses events to trigger and communicate between decoupled services. It is highly scalable and suitable for real-time processing. ...

March 27, 2025 · 3 min · Taner

Microservices vs Distributed Systems Architecture: A Deep Dive

Microservices vs Distributed Systems Architecture: A Deep Dive Let’s dive deeper into Microservices Architecture and Distributed Systems Architecture. Microservices Architecture Microservices Architecture is an architectural style that structures an application as a collection of small, autonomous services modeled around a business domain. Each service is self-contained and implements a single business capability. Here are some key aspects: Independence: Each microservice can be developed, deployed, and scaled independently. This allows teams to work on different services simultaneously without affecting others. Communication: Microservices communicate with each other using well-defined APIs, typically over HTTP/HTTPS, WebSockets, or messaging protocols like AMQP. Data Management: Each service is responsible for its own data persistence. This decentralization helps avoid bottlenecks and allows services to use different databases or storage solutions. Polyglot Programming: Services can be built using different programming languages, frameworks, or technologies, enabling teams to choose the best tools for each service. API Gateway: An API Gateway often serves as the entry point for clients, handling requests, routing them to the appropriate services, and performing cross-cutting concerns like authentication and logging. Distributed Systems Architecture Distributed Systems Architecture involves multiple software components spread across different computers that work together as a single system. Here are some key aspects: ...

March 27, 2025 · 2 min · Taner

Challenges in Microservices Architecture: Key Considerations

Challenges in Microservices Architecture: Key Considerations Microservices architecture offers many benefits, but it also comes with several challenges. Here are some of the key challenges: 1. Complexity Designing and managing microservices can be complex. Determining the size, boundaries, and integration points for each service requires careful planning 1. 2. Communication Overhead Microservices need to communicate with each other, often over a network. This can introduce latency and increase the complexity of managing inter-service communication 1. ...

March 15, 2025 · 2 min · Taner

Challenges in Microservices Architecture: Key Considerations

When evaluating real-world applications, the choice between monolithic and microservices architectures hinges on balancing simplicity versus flexibility, centralized control versus distributed agility, and immediate performance against long-term scalability. Monolithic Architecture A monolithic system bundles all business logic, user interfaces, databases, and integrations into a single, unified application. This integration simplifies development and testing, as there’s just one codebase, one repository, and one deployment pipeline. For smaller applications or early-stage startups, this approach minimizes overhead, enabling teams to iterate rapidly with fewer cross-cutting concerns. However, as applications grow, the monolith can become unwieldy. Scaling becomes a challenge because you must replicate the entire system—even if only one component requires additional resources. Moreover, deploying a change in one part of the application necessitates redeploying the whole system, which increases the risk of widespread issues and can slow down development velocity significantly . ...

March 15, 2025 · 4 min · Taner

Complete Implementation of a Message Envelope Using Newtonsoft.Json

Complete Implementation using System; using System.Collections.Generic; using System.Linq; using Newtonsoft.Json; // For serialization and deserialization public abstract class MessageEnvelope<T> { // Immutable properties public string EventType { get; private init; } public string SourceService { get; private init; } public DateTime Timestamp { get; private init; } public Guid TraceId { get; private init; } public T Payload { get; private init; } // Private constructor to enforce the use of the builder private MessageEnvelope() { } // Static method to start building the envelope public static Builder CreateBuilder() => new Builder(); // Nested Builder class public class Builder { private readonly MessageEnvelope<T> _envelope = new ConcreteMessageEnvelope(); public Builder WithEventType(string eventType) { if (string.IsNullOrWhiteSpace(eventType)) throw new ArgumentException("EventType cannot be null or empty"); _envelope.EventType = eventType; return this; } public Builder WithSourceService(string sourceService) { if (string.IsNullOrWhiteSpace(sourceService)) throw new ArgumentException("SourceService cannot be null or empty"); _envelope.SourceService = sourceService; return this; } public Builder WithPayload(T payload) { _envelope.Payload = payload; return this; } public Builder WithTimestamp(DateTime timestamp) { _envelope.Timestamp = timestamp; return this; } public Builder WithTraceId(Guid traceId) { _envelope.TraceId = traceId; return this; } public Builder WithoutPayload() { _envelope.Payload = default; return this; } public MessageEnvelope<T> Build() { // Set defaults if not already set _envelope.EventType ??= "Unknown"; _envelope.Timestamp = _envelope.Timestamp == default ? DateTime.UtcNow : _envelope.Timestamp; _envelope.TraceId = _envelope.TraceId == default ? Guid.NewGuid() : _envelope.TraceId; return _envelope; } } // Clone method to replicate an envelope with modifications public MessageEnvelope<T> Clone() { return CreateBuilder() .WithEventType(this.EventType) .WithSourceService(this.SourceService) .WithPayload(this.Payload) .WithTimestamp(this.Timestamp) .WithTraceId(this.TraceId) .Build(); } // Serialization to JSON public string ToJson() { return JsonConvert.SerializeObject(this); } // Deserialization from JSON public static MessageEnvelope<T> FromJson(string json) { return JsonConvert.DeserializeObject<ConcreteMessageEnvelope>(json); } // Batch creation for multiple payloads public static IEnumerable<MessageEnvelope<T>> CreateBatch(IEnumerable<T> payloads, string eventType, string sourceService) { return payloads.Select(payload => CreateBuilder() .WithEventType(eventType) .WithSourceService(sourceService) .WithPayload(payload) .Build()); } // Example of a concrete implementation private class ConcreteMessageEnvelope : MessageEnvelope<T> { } } Examples 1. Basic Envelope Creation var envelope = MessageEnvelope<Reservation> .CreateBuilder() .WithEventType("ReservationExpiry") .WithSourceService("ReservationService") .WithPayload(new Reservation { ReservationId = "res-001", SlotId = "slot-123", ExpiryTime = DateTime.UtcNow }) .Build(); Console.WriteLine(envelope.ToJson()); 2. Creating an Envelope Without Payload var metadataOnlyEnvelope = MessageEnvelope<object> .CreateBuilder() .WithEventType("SystemEvent") .WithSourceService("MonitoringService") .WithoutPayload() .Build(); 3. Cloning an Envelope var clonedEnvelope = envelope.Clone(); Console.WriteLine(clonedEnvelope.ToJson()); 4. Batch Creation var reservations = new List<Reservation> { new Reservation { ReservationId = "res-001", SlotId = "slot-123", ExpiryTime = DateTime.UtcNow }, new Reservation { ReservationId = "res-002", SlotId = "slot-456", ExpiryTime = DateTime.UtcNow.AddHours(1) } }; var envelopes = MessageEnvelope<Reservation>.CreateBatch(reservations, "ReservationExpiry", "ReservationService"); foreach (var env in envelopes) { Console.WriteLine(env.ToJson()); } 5. Serialization and Deserialization string serialized = envelope.ToJson(); var deserialized = MessageEnvelope<Reservation>.FromJson(serialized); Console.WriteLine($"Deserialized TraceId: {deserialized.TraceId}"); Conclusion This implementation leverages Newtonsoft.Json to serialize and deserialize objects efficiently. The inclusion of batch creation, cloning, and flexibility makes this envelope a robust solution for designing reliable messaging systems in distributed architectures. ...

March 15, 2025 · 3 min · Taner

Mastering the Retry Pattern: Enhancing Application Resiliency

Mastering the Retry Pattern: Enhancing Application Resiliency The retry pattern is a crucial design technique for improving the resiliency of applications, especially when dealing with transient faults in external systems. Let’s explore its purpose, implementation, and how it contributes to robust architecture. Purpose of the Retry Pattern Automatic Retries: Enables applications to automatically retry a failed operation due to transient faults. Graceful Error Handling: Improves user experience by addressing errors seamlessly. Increased Reliability: Allows applications to recover from temporary issues, ensuring dependable performance. Key Concepts of the Retry Pattern Transient Faults: Temporary issues like network glitches, timeouts, or service throttling that are likely to succeed upon retry. Retry Interval: The delay between attempts, which can follow a fixed interval, exponential backoff, or a custom logic. Max Retry Attempts: Specifies the maximum number of retries before declaring the operation as failed. Implementation Example in C# Here’s how to implement a retry pattern using C#: ...

March 15, 2025 · 3 min · TC

Message Envelopes in Message-Based Software Development

Message Envelopes in Message-Based Software Development In message-based software development, message envelopes are a design pattern used to wrap the core message with additional metadata. This metadata helps the messaging system process, route, or interpret the message without needing to understand its actual content. Key Features of Message Envelopes Header and Body Separation: The header contains metadata like routing information, encryption details, or timestamps. The body holds the actual message payload. Flexibility: ...

March 15, 2025 · 2 min · Taner

The Two-Phase Commit (2PC) Pattern: Ensuring Consistency in Distributed Systems

The Two-Phase Commit (2PC) Pattern: Ensuring Consistency in Distributed Systems The Two-Phase Commit (2PC) Pattern is a distributed protocol that guarantees all or none of the operations in a distributed system are successfully completed, ensuring data consistency and integrity. It is essential for achieving atomic transactions across multiple resources, such as databases or services, in distributed systems. Coordinator +------------------+ | | | Transaction | | Coordinator | | | +------------------+ / \ / \ Participant1 Participant2 +---------+ +---------+ | | | | | Node | | Node | | | | | +---------+ +---------+ What is Two-Phase Commit? The Two-Phase Commit protocol divides the transaction process into two phases to coordinate operations across multiple participants: ...

March 15, 2025 · 3 min · Taner

Two-Phase Commit (2PC) vs Outbox Pattern: Ensuring Data Consistency

Two-Phase Commit (2PC) vs Outbox Pattern: Ensuring Data Consistency The Two-Phase Commit (2PC) Pattern and the Outbox Pattern are two prominent strategies for achieving data consistency in distributed systems. While they both solve similar problems, they employ different approaches. Let’s dive into these patterns to help you determine which is best suited for your application needs. Two-Phase Commit (2PC) Pattern The 2PC Pattern is a distributed protocol designed to ensure that all participants in a distributed transaction either commit or rollback their changes, maintaining data consistency across systems. ...

March 15, 2025 · 4 min · Taner

Two-Phase Commit (2PC) vs Paxos vs Raft: Distributed Systems Protocols

Two-Phase Commit (2PC) vs Paxos vs Raft: Distributed Systems Protocols Two-Phase Commit (2PC), Paxos, and Raft are widely used protocols in distributed systems. While they may overlap in their goals of achieving consistency and reliability, they are tailored for different purposes and come with their own strengths and weaknesses. Let’s explore these protocols and understand their distinctions. Two-Phase Commit (2PC) Purpose: Ensures atomicity in distributed transactions, ensuring that all participants either commit or abort collectively. ...

March 15, 2025 · 3 min · Taner

Understanding Internet Protocols: HTTP, HTTPS, TCP, UDP, and More

Understanding Internet Protocols: HTTP, HTTPS, TCP, UDP, and More Websites and applications communicate using different protocols, which are standardized methods for transferring data over a network. These protocols define how data is sent, received, and interpreted between systems. Below, we explore the most widely used protocols and their key features. HTTP (Hypertext Transfer Protocol) HTTP is the original protocol used for web communication. It enables the transfer of hypertext documents and allows users to interact with websites. ...

March 15, 2025 · 3 min · Taner

Updated Implementation Using `System.Text.Json`

Updated Implementation Using System.Text.Json using System; using System.Text.Json; using System.Text.Json.Serialization; public abstract class MessageEnvelope<T> { // Properties remain immutable public string EventType { get; private init; } public string SourceService { get; private init; } public DateTime Timestamp { get; private init; } public Guid TraceId { get; private init; } public T Payload { get; private init; } // Private constructor for builder use only private MessageEnvelope() { } public static Builder CreateBuilder() => new Builder(); // Serialization to JSON public string ToJson() { var options = new JsonSerializerOptions { WriteIndented = true // Makes the output JSON easier to read }; return JsonSerializer.Serialize(this, options); } // Deserialization from JSON public static MessageEnvelope<T> FromJson(string json) { var options = new JsonSerializerOptions { PropertyNameCaseInsensitive = true // Handles case differences in JSON properties }; return JsonSerializer.Deserialize<ConcreteMessageEnvelope>(json, options); } // Concrete implementation example for proper deserialization private class ConcreteMessageEnvelope : MessageEnvelope<T> { } public class Builder { private readonly MessageEnvelope<T> _envelope = new ConcreteMessageEnvelope(); public Builder WithEventType(string eventType) { _envelope.EventType = eventType; return this; } public Builder WithSourceService(string sourceService) { _envelope.SourceService = sourceService; return this; } public Builder WithPayload(T payload) { _envelope.Payload = payload; return this; } public Builder WithTimestamp(DateTime timestamp) { _envelope.Timestamp = timestamp; return this; } public Builder WithTraceId(Guid traceId) { _envelope.TraceId = traceId; return this; } public MessageEnvelope<T> Build() { _envelope.Timestamp = _envelope.Timestamp == default ? DateTime.UtcNow : _envelope.Timestamp; _envelope.TraceId = _envelope.TraceId == default ? Guid.NewGuid() : _envelope.TraceId; return _envelope; } } } Example Usage 1. Serialize a MessageEnvelope to JSON var envelope = MessageEnvelope<Reservation> .CreateBuilder() .WithEventType("ReservationExpiry") .WithSourceService("ReservationService") .WithPayload(new Reservation { ReservationId = "res-001", SlotId = "slot-123", ExpiryTime = DateTime.UtcNow }) .Build(); string serialized = envelope.ToJson(); Console.WriteLine($"Serialized Envelope:\n{serialized}"); 2. Deserialize a JSON String to MessageEnvelope string json = "{\"EventType\":\"ReservationExpiry\",\"SourceService\":\"ReservationService\",\"Timestamp\":\"2025-03-25T17:00:00Z\",\"TraceId\":\"8a1db2c2-ec3e-45f7-a3eb-bd9dfb351245\",\"Payload\":{\"ReservationId\":\"res-001\",\"SlotId\":\"slot-123\",\"ExpiryTime\":\"2025-03-25T17:00:00Z\"}}"; var deserializedEnvelope = MessageEnvelope<Reservation>.FromJson(json); Console.WriteLine($"Deserialized EventType: {deserializedEnvelope.EventType}"); Console.WriteLine($"Deserialized Reservation ID: {deserializedEnvelope.Payload.ReservationId}"); Benefits of Serialization Portability: You can transmit envelopes as JSON over APIs, message brokers, or store them in databases. Interoperability: Many systems can parse JSON, making serialized envelopes easy to integrate across platforms. Flexibility: Deserialization lets you reconstruct envelopes when receiving messages. Advantages of System.Text.Json Performance: Faster than Newtonsoft.Json, especially for large-scale applications. Built-in Support: No need for external dependencies; it’s natively part of .NET Core and .NET 5+. Configuration Options: Flexible JSON options like camel casing, case insensitivity, and indented formatting.

March 15, 2025 · 2 min · Taner

Implementing the Clock-Bound Wait Pattern in C#

Implementing the Clock-Bound Wait Pattern in C# The Clock-Bound Wait pattern is a critical technique in distributed systems to ensure consistency across nodes. Here are some C# code examples that demonstrate this pattern, using a simple distributed system where each node synchronizes its clock before performing read and write operations. 1. Determine Maximum Clock Offset Define a Clock class to determine the maximum clock offset and get the synchronized time. ...

February 23, 2025 · 3 min · TC

Inbox-Outbox Pattern Example

Here’s an example implementation of the Inbox-Outbox pattern in C# using ASP.NET Core and Entity Framework Core. Inbox Pattern Example Inbox Entity: Define an entity to represent the inbox table in the database. public class Inbox { public long Id { get; set; } public string Message { get; set; } public bool Processed { get; set; } public DateTime ReceivedAt { get; set; } } Inbox Repository: Create a repository to interact with the inbox table. public interface IInboxRepository { Task<List<Inbox>> GetUnprocessedMessagesAsync(); Task SaveAsync(Inbox inbox); } public class InboxRepository : IInboxRepository { private readonly ApplicationDbContext _context; public InboxRepository(ApplicationDbContext context) { _context = context; } public async Task<List<Inbox>> GetUnprocessedMessagesAsync() { return await _context.Inboxes.Where(i => !i.Processed).ToListAsync(); } public async Task SaveAsync(Inbox inbox) { _context.Inboxes.Update(inbox); await _context.SaveChangesAsync(); } } Inbox Service: Implement a service to process the inbox messages. public class InboxService { private readonly IInboxRepository _inboxRepository; public InboxService(IInboxRepository inboxRepository) { _inboxRepository = inboxRepository; } public async Task ProcessInboxMessagesAsync() { var inboxMessages = await _inboxRepository.GetUnprocessedMessagesAsync(); foreach (var inbox in inboxMessages) { // Process the message inbox.Processed = true; await _inboxRepository.SaveAsync(inbox); } } } Outbox Pattern Example Outbox Entity: Define an entity to represent the outbox table in the database. public class Outbox { public long Id { get; set; } public string Message { get; set; } public bool Sent { get; set; } public DateTime CreatedAt { get; set; } } Outbox Repository: Create a repository to interact with the outbox table. public interface IOutboxRepository { Task<List<Outbox>> GetUnsentMessagesAsync(); Task SaveAsync(Outbox outbox); } public class OutboxRepository : IOutboxRepository { private readonly ApplicationDbContext _context; public OutboxRepository(ApplicationDbContext context) { _context = context; } public async Task<List<Outbox>> GetUnsentMessagesAsync() { return await _context.Outboxes.Where(o => !o.Sent).ToListAsync(); } public async Task SaveAsync(Outbox outbox) { _context.Outboxes.Update(outbox); await _context.SaveChangesAsync(); } } Outbox Service: Implement a service to send the outbox messages. public class OutboxService { private readonly IOutboxRepository _outboxRepository; public OutboxService(IOutboxRepository outboxRepository) { _outboxRepository = outboxRepository; } public async Task ProcessOutboxMessagesAsync() { var outboxMessages = await _outboxRepository.GetUnsentMessagesAsync(); foreach (var outbox in outboxMessages) { // Send the message outbox.Sent = true; await _outboxRepository.SaveAsync(outbox); } } } Integration You can use a hosted service to periodically call the inbox and outbox service methods to process the messages. ...

February 23, 2025 · 3 min · TC

Industry Applications of the Clock-Bound Wait Pattern

Industry Applications of the Clock-Bound Wait Pattern The Clock-Bound Wait pattern is a vital mechanism used in distributed systems to ensure data consistency, accurate ordering, and reliable operations across different nodes. Here are some specific industry examples where this pattern is applied: 1. Financial Services Scenario: In banking and financial services, ensuring the consistency of transactions across distributed systems is crucial. Example: A banking system that processes transactions across multiple branches uses the Clock-Bound Wait pattern to ensure that all transactions are ordered correctly. This prevents issues like double-spending or inconsistent account balances. ...

February 23, 2025 · 2 min · TC

Practical Applications of the Clock-Bound Wait Pattern

Practical Applications of the Clock-Bound Wait Pattern The Clock-Bound Wait pattern is crucial in distributed systems to ensure data consistency, event ordering, and reliable operations across different nodes. Here are some practical applications: Distributed Databases Scenarios: Consistency: Ensuring that data written to different nodes is ordered correctly to maintain strong consistency. Read/Write Operations: When a write operation occurs, waiting for the clock to synchronize ensures that subsequent read operations fetch the correct data version. Examples: ...

February 23, 2025 · 2 min · TC

Practical Applications of the Clock-Bound Wait Pattern

Practical Applications of the Clock-Bound Wait Pattern The Clock-Bound Wait pattern is crucial in distributed systems to ensure data consistency, event ordering, and reliable operations across different nodes. Here are some practical applications: CloudEvents CloudEvents is a specification designed to provide a consistent and standardized way to describe event data across different systems. The main goal of CloudEvents is to ensure interoperability between cloud services, platforms, and applications by defining a common event format. ...

February 23, 2025 · 3 min · TC

Practical Applications of the Inbox-Outbox Pattern

Practical Applications of the Inbox-Outbox Pattern Here is a simple example of an outbox pattern implementation in C#. This example demonstrates how to create an outbox table, write messages to it, and process the messages to ensure reliable delivery. Database Schema First, create an OutboxMessages table in your database: CREATE TABLE OutboxMessages ( Id UNIQUEIDENTIFIER PRIMARY KEY, EventType NVARCHAR(256), Source NVARCHAR(256), Time DATETIMEOFFSET, DataContentType NVARCHAR(256), Data NVARCHAR(MAX), Processed BIT DEFAULT 0 ); OutboxMessage Class Next, create a class to represent the outbox message: ...

February 23, 2025 · 3 min · TC

The Inbox-Outbox Pattern: Ensuring Reliable Messaging in Microservices

The Inbox-Outbox Pattern: Ensuring Reliable Messaging in Microservices The inbox-outbox pattern is a design pattern used in microservice architecture to ensure reliable message delivery and data consistency between services. Here’s a brief overview of each pattern: Inbox Pattern Purpose: Ensures that a message was received successfully at least once. How it works: When an application receives data, it persists this data to an inbox table in a database. Another application, process, or service can then read from the inbox table and use the data to perform an operation. This operation can be retried upon failure until it is completed successfully. Outbox Pattern Purpose: Ensures that a message was sent successfully at least once. How it works: When an application needs to send data, it persists this data to an outbox table in a database. Another application or process can then read from the outbox table and use the data to perform an operation. This operation can also be retried upon failure until it is completed successfully. These patterns are particularly useful in distributed systems where services need to communicate reliably and maintain data consistency despite potential failures or network issues. ...

February 23, 2025 · 1 min · TC

Understanding the Clock-Bound Wait Pattern in Distributed Systems

Understanding the Clock-Bound Wait Pattern in Distributed Systems The Clock-Bound Wait pattern is a critical technique used in distributed systems to handle the uncertainty in time across cluster nodes. This pattern ensures that values can be correctly ordered across cluster nodes before reading and writing values, maintaining consistency and reliability. Problem In a distributed system, different nodes may have slightly different clock times. This can lead to inconsistencies when reading and writing values. For example, if two nodes have different clock times, they might read or write different versions of the same value, leading to confusion and inconsistency. ...

February 23, 2025 · 3 min · TC

Using Wolverine to Delay Messages in C#

Using Wolverine to Delay Messages in C# Wolverine’s feature for delaying messages can be a great alternative to using Task.Delay. Below, I’ll show you how to modify the solution to use Wolverine’s delayed messaging capabilities. 1. Setup Wolverine with Delayed Messaging Make sure you have the Wolverine NuGet package installed. dotnet add package Wolverine 2. Create a Wolverine Configuration with Delayed Messaging Configure Wolverine to handle delayed messaging. using Wolverine; using Microsoft.Extensions.Hosting; public class WolverineConfig : IWolverineRegistry { public void Configure(IWolverineOptions options) { options.PublishAllMessages().ToRabbitMq("rabbitmq://localhost"); options.ListenToRabbitMq("rabbitmq://localhost").QueueName("writeQueue"); } } 3. Modify WriteOperation Class Publish a delayed message using Wolverine after synchronizing the time. ...

February 23, 2025 · 2 min · TC

Mastering System Design: The Importance of Clear Diagrams

Mastering System Design Through Diagrams: A Personal Journey A few years ago, I found myself in an interview where I was asked about architecture diagrams—and honestly, I choked. That moment was a wake-up call. I realized that if I wanted to be confident in system design and convey my ideas clearly, I needed to make diagrams a core part of my process. Today, I’m sharing my step-by-step approach to diagramming through the various stages of system development. Not only will this guide help you in interviews, but it also serves as a roadmap to developing well-thought-out systems. ...

March 27, 2025 · 5 min · Taner

High-Level Context Diagram for Event-Based Reservation Systems Using Wolverine

Below is an example of a Mermaid diagram that shows a high-level context diagram for our event-based reservation system using Wolverine. In this diagram, you can see external actors (like customers, an administrator, payment gateway, etc.) interacting with internal components such as a Reservation Frontend, Reservation Service, and the Wolverine Event Bus responsible for handling events. flowchart LR %%External Actors Customer[Customer] PaymentGateway[Payment Gateway] NotificationService[Notification Service] Administrator[Administrator] ResourceCatalog[Resource Catalog] %%Internal System Components subgraph System [Reservation System] Frontend[Reservation Frontend] Service[Reservation Service] EventBus[Wolverine Event Bus] end %%Interactions between External Actors and the System Customer -->|Creates/Manages Booking| Frontend Frontend --> Service Service -->|Publishes Events| EventBus EventBus -->|Notifies| PaymentGateway EventBus -->|Notifies| NotificationService Service -->|Checks Availability| ResourceCatalog Administrator -->|Manages System| Service Explanation External Actors: ...

April 2, 2025 · 2 min · Taner

Use Case Diagram for Event-Based Reservation Systems

Here is a Use Case Diagram for our reservation system, which visualizes the interactions between users (actors) and the system’s functionalities (use cases). graph TD %% External Actors Customer[Customer] --> CreateReservation Customer --> CancelReservation Customer --> ViewReservationDetails Customer --> ReceiveNotifications Administrator[Administrator] --> ManageResources Administrator --> GenerateReports Administrator --> ViewCustomerDetails %% System subgraph ReservationSystem [Reservation System] CreateReservation[Create Reservation] CancelReservation[Cancel Reservation] ViewReservationDetails[View Reservation Details] ReceiveNotifications[Receive Notifications] ManageResources[Manage Resources] GenerateReports[Generate Reports] ViewCustomerDetails[View Customer Details] end Explanation of the Diagram Actors: ...

April 2, 2025 · 1 min · Taner

Workflow Flowchart for Simple Reservation Systems

Here’s an example of a Flowchart that represents a simple workflow for a reservation system, illustrating key steps in the booking process. graph TD Start[Start] --> EnterDetails[Customer Enters Reservation Details] EnterDetails --> CheckAvailability[Check Resource Availability] CheckAvailability -->|Available| ProceedPayment[Proceed with Payment] CheckAvailability -->|Not Available| DisplayError[Display Error Message] ProceedPayment --> ConfirmReservation[Confirm Reservation] ConfirmReservation --> SendNotification[Send Confirmation Notification] SendNotification --> End[End] Explanation of the Workflow: Start: The process begins when a customer initiates a reservation. Enter Details: The customer provides reservation details (e.g., date, time, resource). Check Resource Availability: The system verifies if the requested resource is available. If available, the workflow proceeds to payment. If not available, an error message is displayed to the customer. Proceed with Payment: The customer completes the payment process. Confirm Reservation: The system confirms the reservation after successful payment. Send Notification: A confirmation message (email/SMS) is sent to the customer. End: The workflow concludes.

April 2, 2025 · 1 min · Taner

Visualizing Event-Driven Microservices: Architecture Diagram for a Reservation System

Below is an example of an Architecture Diagram for our event-driven reservation system, illustrating a microservices architecture. It highlights the relationships between components, external systems, and underlying patterns used. flowchart TB %% External Clients Customer[Customer Frontend] Admin[Administrator Panel] %% Gateway Layer subgraph Gateway[API Gateway] GatewayService[Routing & Security] end %% Service Layer subgraph ServiceLayer[Service Layer] ReservationService[Reservation Service] ResourceService[Resource Catalog Service] NotificationService[Notification Service] PaymentService[Payment Service] end %% Event Handling Layer subgraph EventLayer[Event Handling Layer] EventBus[Wolverine Event Bus] end %% Data Layer subgraph DataLayer[Data Layer] ReservationDB[Reservations Database] ResourceDB[Resources Database] CustomerDB[Customers Database] end %% External Services ExternalNotification[Third-Party Notification System] ExternalPaymentGateway[Third-Party Payment Gateway] %% Interactions Customer --> GatewayService Admin --> GatewayService GatewayService --> ReservationService GatewayService --> ResourceService ReservationService --> ReservationDB ResourceService --> ResourceDB ReservationService --> CustomerDB ReservationService --> EventBus EventBus --> NotificationService EventBus --> PaymentService NotificationService --> ExternalNotification PaymentService --> ExternalPaymentGateway Breakdown of the Diagram External Clients: ...

April 2, 2025 · 2 min · Taner

Component Design for Event-Based Reservation Systems: Wolverine Integration

Below is a Mermaid diagram that outlines a component diagram for your event-based reservation system using Wolverine. This diagram breaks down the core components and shows how they interact with each other and with external systems. graph TD %% External Systems PG[Payment Gateway] NS[Notification Service] RC[Resource Catalog] %% Reservation System Components subgraph Reservation_System [Reservation System] FE[Reservation Frontend] RS[Reservation Service] DO[Durable Outbox] EB[Wolverine Event Bus] EH[Event Handlers] end %% Internal Interactions FE -->|User Requests| RS RS -->|Persists Events/Commands| DO RS -->|Publishes Events| EB EB --> EH RS -->|Checks Availability| RC %% External Interactions via Event Bus EB -->|Notifies| PG EB -->|Notifies| NS Explanation Reservation System Components: ...

April 2, 2025 · 2 min · Taner

Level-1 Data Flow Diagram for Event-Based Reservation Systems

Here’s an example of a Level-1 Data Flow Diagram (DFD) for our reservation system. It highlights how data moves between external entities, processes, and storage components. flowchart TD %% External Entities Customer[Customer] ResourceCatalog[Resource Catalog] PaymentGateway[Payment Gateway] NotificationService[Notification Service] %% Processes Process1[Submit Reservation] Process2[Check Resource Availability] Process3[Process Payment] Process4[Notify Customer] %% Data Stores D1[Reservation Data Store] D2[Customer Data Store] %% Data Flows Customer -->|Reservation Details| Process1 Process1 -->|Reservation Data| D1 Process1 -->|Customer Details| D2 Process1 -->|Resource Details| Process2 ResourceCatalog -->|Resource Availability| Process2 Process2 -->|Reservation Confirmation| Process1 Process1 -->|Payment Info| Process3 PaymentGateway -->|Payment Status| Process3 Process3 -->|Notification Request| Process4 Process4 -->|Notification| NotificationService Explanation External Entities: ...

April 2, 2025 · 2 min · Taner

Exploring Class Design for Event-Driven Reservation Systems: Mermaid Diagram Representation

Below is an example of a Mermaid class diagram representing the core classes for our event-based reservation system to visualize the relationships between the entities, services, and events. classDiagram %% Domain Entities class Customer { +int Id +string FullName +string Email } class Resource { +int Id +string Name +string Description } class Reservation { +int Id +int CustomerId +int ResourceId +DateTime StartDate +DateTime EndDate +ReservationStatus Status } %% Service Layer class ReservationService { +CreateReservation(customerId: int, resourceId: int, startDate: DateTime, endDate: DateTime) Reservation +CancelReservation(reservationId: int) bool } %% Domain Events class ReservationCreatedEvent { +Guid ReservationId +DateTime CreatedAt +int CustomerId } class ReservationCancelledEvent { +Guid ReservationId +DateTime CancelledAt +int CustomerId } %% Event Handling Component class ReservationEventHandler { +Handle(event: ReservationCreatedEvent) +Handle(event: ReservationCancelledEvent) } %% Associations Customer "1" --o "0..*" Reservation : creates Resource "1" --o "0..*" Reservation : assigned to ReservationService ..> ReservationCreatedEvent : publishes ReservationService ..> ReservationCancelledEvent : publishes ReservationEventHandler ..> ReservationCreatedEvent : handles ReservationEventHandler ..> ReservationCancelledEvent : handles %% Note: ReservationStatus is an enumeration (e.g., Pending, Confirmed, Cancelled) Explanation Domain Entities: ...

April 2, 2025 · 2 min · Taner

Sequence Diagram for Event-Based Reservation Workflow Using Wolverine

Below is a Mermaid sequence diagram that showcases how components of our event-based reservation system interact during a typical workflow. This example outlines the process of a customer creating a reservation and includes key components such as the frontend, service layer, Wolverine event bus, and external systems. sequenceDiagram participant Customer participant Frontend participant Service as Reservation Service participant EventBus as Wolverine Event Bus participant ResourceCatalog participant Notification as Notification Service Customer ->> Frontend: Request to create a reservation Frontend ->> Service: Submit reservation details Service ->> ResourceCatalog: Check resource availability ResourceCatalog -->> Service: Availability status Service ->> Service: Validate and process reservation Service ->> EventBus: Publish ReservationCreated event EventBus ->> Notification: Notify customer of confirmation EventBus -->> Service: Acknowledge event publishing Service -->> Frontend: Return confirmation to customer Frontend -->> Customer: Display confirmation details Explanation of the Workflow Customer Interaction: ...

April 2, 2025 · 2 min · Taner

System Sequence Diagram for Reservation Workflow

Below is a System Sequence Diagram for a reservation system, which highlights the interaction between external actors (e.g., customer, administrator) and the system during a reservation workflow: sequenceDiagram participant Customer participant System as Reservation System Customer ->> System: Enter reservation details System -->> Customer: Validate inputs Customer ->> System: Submit reservation request System ->> System: Check resource availability alt Resource available System ->> System: Create reservation System ->> Customer: Confirm reservation System ->> System: Trigger payment process System ->> Customer: Notify payment status else Resource not available System ->> Customer: Display unavailability message end Explanation of the Diagram: Actors and System: ...

April 2, 2025 · 1 min · Taner

State Diagram for Reservation Lifecycle in Event-Based Systems

Here’s an example of a State Diagram for a reservation system object. This illustrates the states that a reservation can move through and the transitions triggered by events or actions. stateDiagram-v2 state "Pending" as Pending state "Confirmed" as Confirmed state "Cancelled" as Cancelled state "Completed" as Completed %% State Transitions Pending --> Confirmed: Payment Received Pending --> Cancelled: Customer Cancels Confirmed --> Cancelled: Customer Cancels Confirmed --> Completed: Reservation Period Ends Cancelled --> Pending: Reopen Request Explanation of States and Transitions: States: ...

April 2, 2025 · 1 min · Taner

Deployment Diagram for Event-Based Reservation Systems Using Wolverine

Below is an example of a deployment diagram for our event-based reservation system. This shows how components of the system are deployed across servers, environments, and external services in a physical setup. You can use the following Mermaid code to visualize it in a Mermaid-enabled renderer: graph TD %% Deployment Nodes subgraph ClientMachine [Client Machine] FrontendApp[Reservation Frontend App] end subgraph AppServer [Application Server] ReservationService[Reservation Service] WolverineEventBus[Wolverine Event Bus] DurableOutbox[Durable Outbox] end subgraph Messaging [Messaging Infrastructure] MessageBroker[Message Broker] end subgraph DatabaseServer [Database Server] ReservationsDB[Reservations Database] CustomersDB[Customers Database] end subgraph ExternalServices [External Systems] PaymentGateway[Payment Gateway] NotificationService[Notification Service] ResourceCatalog[Resource Catalog Service] end %% Interactions FrontendApp --> ReservationService ReservationService --> WolverineEventBus WolverineEventBus --> DurableOutbox WolverineEventBus --> MessageBroker MessageBroker --> PaymentGateway MessageBroker --> NotificationService ReservationService --> ReservationsDB ReservationService --> CustomersDB ReservationService --> ResourceCatalog Explanation Nodes: ...

April 2, 2025 · 2 min · Taner

Entity-Relationship Diagram for Event-Based Reservation Systems

Here is a conceptual Entity-Relationship Diagram (ERD) for our conceptual reservation system. This diagram includes entities such as Customer, Reservation, and Resource, along with their attributes and relationships. erDiagram %% Customer Entity Customer { int Id string FullName string Email string Phone } %% Resource Entity Resource { int Id string Name string Description int Capacity } %% Reservation Entity Reservation { int Id int CustomerId int ResourceId DateTime StartDate DateTime EndDate string Status } %% Relationships Customer ||--o{ Reservation : "creates" Resource ||--o{ Reservation : "associated with" Explanation Entities: ...

April 2, 2025 · 1 min · Taner

Infrastructure Diagram for Cloud-Based Event-Driven Reservation Systems

Below is an example of an Infrastructure Diagram that illustrates how our event-based reservation system might be deployed using cloud resources. This includes virtual machines, networks, containers, and external services. graph TD %% Cloud Platform subgraph CloudInfrastructure[Cloud Infrastructure -e.g., AWS, Azure, GCP-] LB[Load Balancer] VPC[VPC -Virtual Private Cloud-] subgraph AppLayer[Application Layer] EC2Instance1[Virtual Machine: Reservation Service Instance 1] EC2Instance2[Virtual Machine: Reservation Service Instance 2] Container1[Docker Container: Wolverine Event Bus] Container2[Docker Container: Durable Outbox] end subgraph DataLayer[Data Layer] DBCluster[Managed Database Cluster] BackupStorage[Cloud Backup Storage] end subgraph ExternalServices[External Integrations] PaymentGateway[Payment Gateway] NotificationService[Notification Service] ResourceCatalog[Resource Catalog API] end end %% Interactions LB --> EC2Instance1 LB --> EC2Instance2 EC2Instance1 --> Container1 EC2Instance2 --> Container2 EC2Instance1 --> DBCluster DBCluster --> BackupStorage Container1 --> PaymentGateway Container2 --> NotificationService EC2Instance1 --> ResourceCatalog Explanation of Components: Cloud Infrastructure: ...

April 2, 2025 · 2 min · Taner

Network Diagram for Securing Event-Based Reservation Systems

Below is an example of a Network Diagram that depicts a possible topology for our reservation system, illustrating firewalls, routers, subnets, and connections. It is designed to enhance network security and efficiency. graph TB %% Internet Internet[Internet] --> Firewall1[Firewall] %% Perimeter Network -DMZ subgraph DMZ[Perimeter Network -DMZ-] Router[Router] APIGateway[API Gateway] end Firewall1 --> Router Router --> APIGateway %% Internal Network subgraph InternalNetwork[Internal Network] LoadBalancer[Load Balancer] ApplicationServer1[App Server 1] ApplicationServer2[App Server 2] DatabaseServer[Database Server] EventBus[Wolverine Event Bus] end APIGateway --> LoadBalancer LoadBalancer --> ApplicationServer1 LoadBalancer --> ApplicationServer2 ApplicationServer1 --> DatabaseServer ApplicationServer2 --> DatabaseServer ApplicationServer1 --> EventBus ApplicationServer2 --> EventBus %% External Services subgraph ExternalServices[External Services] NotificationService[Notification Service] PaymentGateway[Payment Gateway] end EventBus --> NotificationService EventBus --> PaymentGateway Components Breakdown: Internet: ...

April 2, 2025 · 2 min · Taner