This course is about enterprise integration patterns proposed by Apache Camel.

The Camel Enterprise Integration Patterns (EIP) provide the interfaces to communicate with large component-based distributed systems. When designing the best integration solution for message-oriented applications, these patterns help save time and effort.

In this course, you'll learn about all four foundational patterns. You'll be introduced to Error Handling patterns, Deployment patterns, and Configuration patterns. Each pattern is discussed in detail to be used in distinct settings. You'll also gain a deep understanding of how each pattern works under different circumstances, and implement them appropriately when necessary using real-world examples to illustrate the design specifics. Camel EIPs offer advantages over traditional frameworks such as REST or SOAP regarding integration problems within an organization.

By the end of this course, you'll have hands-on practice with valuable interfaces and the simplification processes for integrating applications across an organization's services.

Using Apache Camel with Enterprise Integration Patterns

## Intent

It is used to enable applications to handle anticipated transient failures by transparently retrying a failed operation with an expectation that it will be successful. The Retry pattern is also known as the **Transient Fault Handling pattern**.

## Context and problem

By their very nature, integration applications interact with other systems over the network. With dynamic cloud-based environments becoming the norm and the microservices architectural style partitioning applications into more granular services, successful service communication has become a fundamental prerequisite for many distributed applications. Services that communicate with other services must be able to handle transient failures that can occur in downstream systems transparently and continue operating without any disruption. A transient failure can be considered an infrastructure-level fault, a loss of network connectivity, timeouts and throttling applied by busy services, etc. These conditions occur infrequently, and they are typically self-correcting, and usually, retrying an operation succeeds.

# Intent

It is used to enable applications to handle anticipated transient failures by transparently retrying a failed operation with an expectation that it will be successful. The Retry pattern is also known as the **Transient Fault Handling pattern**.

# Context and problem

By their very nature, integration applications interact with other systems over the network. With dynamic cloud-based environments becoming the norm and the microservices architectural style partitioning applications into more granular services, successful service communication has become a fundamental prerequisite for many distributed applications. Services that communicate with other services must be able to handle transient failures that can occur in downstream systems transparently and continue operating without any disruption. A transient failure can be considered an infrastructure-level fault, a loss of network connectivity, timeouts and throttling applied by busy services, etc. These conditions occur infrequently, and they are typically self-correcting, and usually, retrying an operation succeeds.

Learn the Retry design pattern and its usage.

About This Course

Foundational Patterns

Error Handling Patterns

Deployment Patterns

Conclusion

Retry Pattern

Intent

Context and problem