Basic & Advanced Integration Patterns Quiz

Establishing direct connections between individual systems to enable communication and data exchange.

Sharing data between a CRM system and an email marketing platform.

Enables decoupled communication by allowing publishers to broadcast messages and subscribers to receive relevant messages based on their interests.

Publishers do not need to know the subscribers, and subscribers do not need to know the publishers.

Various modules receive real-time updates about stock prices without querying individually.

Point-to-Point involves direct connections between systems, while Publish-Subscribe allows decoupled communication without direct awareness between publishers and subscribers.

To direct messages from a source to one or more destination channels based on specific criteria or rules.

By analyzing the destination country information within each order message and directing the message based on predefined routing rules.

Enhance a message's content by adding additional data from external sources without altering the original message structure.

A logistics company processing orders from different regions worldwide and directing them to specific processing channels based on the destination country's regulations and shipping options.

By examining message content, headers, or other attributes to determine the appropriate destination for each message.

It ensures that only subscribed modules receive stock price updates when published, making message delivery efficient and targeted.

Encryption is the process of encoding information in such a way that only authorized parties can access it.

TLS (Transport Layer Security) is a cryptographic protocol used to secure communication over a computer network. In microservices architectures, TLS encryption is often used to ensure data exchanged between services remains confidential and secure.

EDA focuses on events as the central mechanism for communication between different parts of a software system.

In EDA, applications are typically categorized as event producers and event consumers. Producers generate events whenever something significant happens, while consumers listen for these events and take corresponding actions.

Decoupled Services in EDA mean that services don't need to know about each other's implementation details, promoting loose coupling.

Event streaming and event-driven architecture work hand-in-hand by leveraging events as the central communication mechanism. Event streaming enables the continuous flow of events for real-time processing in event-driven systems.

Monolithic applications have lower development complexity initially, while microservices applications have higher development complexity initially.

Monolithic applications are less scalable, while microservices applications are more scalable.

A Service Mesh facilitates communication between microservices by providing capabilities such as service discovery, load balancing, encryption, authentication, and monitoring.

Traffic Management, Security, Observability, and Resilience are key characteristics of a Service Mesh in a microservices architecture.

Service Meshes handle security concerns such as encryption, authentication, and authorization to ensure secure communication between services.

Service Meshes implement features like circuit breaking and retry mechanisms to enhance the resilience of microservices-based applications.

Event Stream Processing (ESP) takes a continuous stream of events and processes them as soon as a change happens. It enables software to understand, react to, and operate as events occur.

Apache Kafka started as a messaging queue but evolved into a distributed event streaming platform. It can handle trillions of events a day and provides capabilities beyond traditional messaging systems.

Scalability in event streaming platforms allows producers and consumers to be scaled independently based on their needs. This flexibility ensures that the system can handle varying workloads efficiently.

Resilience ensures that failure in one part of the system does not bring down the entire system. This fault tolerance is crucial for maintaining system availability and reliability.

Real-time processing in event streaming platforms allows events to be processed as they occur, enabling the development of real-time applications that can react instantly to changing data.

Event streaming platforms process single points of data rather than entire batches, allowing software to understand, react to, and operate as events occur. This architecture improves operational efficiency by enabling real-time processing and response.