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

This pattern allows concurrent execution of the steps of a multistep process by maintaining the message order. The Parallel Pipeline pattern is also known as the **Pipeline pattern**.

## Context and problem

The free performance lunch has been over for more than ten years now. The CPU clock speed has stopped increasing in favor of a number of cores. Software written for sequential execution is not getting faster on newer CPUs. The software has to be built for parallel processing to gain an advantage of the increasing number of cores. To illustrate the problem, let’s have a look at the following banking example with an ATM processing flow that consists of four steps:

# Intent

This pattern allows concurrent execution of the steps of a multistep process by maintaining the message order. The Parallel Pipeline pattern is also known as the **Pipeline pattern**.

# Context and problem

The free performance lunch has been over for more than ten years now. The CPU clock speed has stopped increasing in favor of a number of cores. Software written for sequential execution is not getting faster on newer CPUs. The software has to be built for parallel processing to gain an advantage of the increasing number of cores. To illustrate the problem, let’s have a look at the following banking example with an ATM processing flow that consists of four steps:

Learn the Parallel Pipeline design pattern and its usage.

About This Course

Foundational Patterns

Error Handling Patterns

Deployment Patterns

Conclusion

Parallel Pipeline Pattern

Intent

Context and problem