Anypoint Platform Architecture: Integration Solutions Training Course

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Anypoint Platform Architecture: Integration Solutions Course Overview

Anypoint Platform Architecture: Integration Solutions training course is designed for experienced solution and technical architects or lead/senior developers how to design integration solutions using Anypoint Platform that meet functional and non-functional requirements. In this training class, you will learn how to design integration solutions for the Mule runtime (both Mule 4 and Mule 3) in the various deployment options supported by the Anypoint Platform.

Target Audience:

Solution and technical architects or lead/senior developers that are focused on designing enterprise integration solutions and have prior experience developing and deploying non-trivial Mule applications

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

Destination Training
(Dubai/London/Sydney
New York/Goa)

Flexi
(Video Recording of Live Online)

You will learn:

Module 1: Introducing Integration Solution Architectures
  • Describe the objectives of enterprise integration solution
  • Summarize how to architect for success with Anypoint Platform
  • Describe how integration solutions using Anypoint Platform are documented
  • Start using an architecture template for the course case study
  • Identify and document the overall design intentions of Anypoint Platform
  • Summarize Anypoint Platform capabilities and high-level components
  • Identify and distinguish between Anypoint Platform infrastructure and deployment options
  • Choose Anypoint Platform components to be used to meet the functional and non-functional requirements of an integration use case
  • Explain the typical uses of Mule components (including connectors, transformers, routers, and error handlers) in Mule applications
  • Describe the differences between Mule 4 and Mule 3 applications
  • Choose appropriate Mule application components to design an integration use case
  • Summarize how class loading isolation is implemented in Mule runtimes
  • Distinguish between Mule 4 blocking, non-blocking, parallel, and reactive event processing options
  • Identify the event processing models used in various Mule 4 scopes and components
  • Describe Mule 4 streaming options and behaviors
  • Describe the event processing options for JMS and VM connectors
  • Select appropriate event processing for an integration use case
  • Design batch, near real-time, and real-time data synchronization integration use cases
  • Describe reusable ways to transform and process events
  • Explain how to simplify and decouple complex data mappings using common data models
  • Design transformations between data models
  • Choose the best event transformation, data validation, and event routing patterns to an integration use case
  • Describe possible testing strategies for Mule applications
  • Document a testing strategy for an integration use case
  • Define the types of MUnit tests required for an integration use case and document the code coverage
  • Design integration and performance tests for Mule applications
  • Distinguish between various Anypoint Platform runtime service models
  • Distinguish between various Anypoint Platform deployment models
  • Select the best deployment and runtime service options for an integration use case
  • Decide the best way to store Mule application state in persistent or non-persistent storage
  • Explain how to store Mule application state using Object Store v2
  • Decide when to manage storage of Mule application state using persistent VM queues
  • Decide when to use Mule application provided caches to store Mule application state
  • Design an integration solution to avoid duplicate processing of previous records using Mule connector watermarks
  • Design the best storage and state management options for an integration use case
  • Describe auditing and logging options for Mule applications
  • Design logging strategies for Mule applications
  • Choose logging policies for Mule application log files
  • Describe integration options with third-party log management systems
  • Specify Anypoint Platform monitoring, alerting, notification, visualization, and reporting options for APIs and integration solutions
  • Choose the best monitoring, alerting, and notification options for an integration use case
  • Design to manage property files for Mule applications across different environments
  • Design to manage Anypoint Platform environments for Mule application deployments
  • Describe how to implement continuous integration and continuous delivery (CI/CD) for an organization
  • Describe how to automate deployment and management with Anypoint Platform
  • Identify why and when transactions are supported in Mule applications
  • Identify resources that participate in transactions in Mule applications
  • Describe how to manage a transaction using a transaction manager or the Saga pattern
  • Describe how to demarcate transaction boundaries in Mule applications
  • Choose the correct transaction type based on the participating resources
  • Identify and distinguish between reliability patterns for Mule application and their deployments
  • Design to effectively balance competing non-functional requirements
  • Clarify and validate reliability goals for an integration use case
  • Design Mule applications and their deployments to meet reliability goals
  • Design to effectively balance reliability goals with other project goals and requirements
  • Identify various types of high availability (HA) goals for Mule applications
  • Identify ways to achieve HA in CloudHub and on-premises deployments
  • Identify HA aware connectors and their design tradeoffs
  • Describe how clustering and load balancing work in CloudHub and on-premises deployments
  • Design to effectively balance HA goals with other project goals and requirements
  • Clarify performance goals for Mule applications
  • Identify the need for performance optimization and associated tradeoffs
  • Describe ways to search for and locate performance bottlenecks
  • Describe how to design, architect, design, and implement for performance
  • Describe ways to measure performance
  • Describe methods and best practices to performance tune Mule applications and Mule runtimes
  • Design to effectively balance performance goals with reliability and HA goals
  • Describe Anypoint Platform security concepts and options
  • Explain how to secure APIs on Anypoint Platform
  • Differentiate between MuleSoft and customer responsibilities related to Anypoint Platform security
  • Evaluate security risks for Mule applications
  • Describe how to secure Mule application properties and data in transit
  • Describe Anypoint Platform network security options and architectures
  • Identify MuleSoft-owned and customer-owned roles and responsibilities related to Anypoint Platform network security
  • Describe how to secure Mule applications using Java key stores
  • Design TLS communication and other network security options for an integration use case
  • Properly size an Anypoint VPC to support deployment of all expected Mule applications
  • Review the essential steps for designing an integration solution using Anypoint Platform and Mule applications
  • Carry out all the steps to design an integration solution for an integration use case
Live Online Training (Duration : 40 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

MuleSoft Certified Developer - Level 1 (Mule 4) or MCD - Integration and API Associate (Mule 3) exam

At the end of this course, students should be able to:

  • Translate functional and non-functional requirements into well documented integration interfaces and implementation designs.
  • Select the best Mule components and patterns for integration solution designs.
  • Select the deployment approach and configuration of the Anypoint Platform with any of the available deployment options (MuleSoft-hosted or customer-hosted control plane and runtime plane).
  • Design Mule applications for various deployment options of the Anypoint Platform runtime plane.
  • Apply standard development methods covering the full development lifecycle to ensure solution quality.
  • Design reusable assets, components, standards, frameworks, and processes to support and facilitate API and integration projects.
  • Design and be responsible for the technical quality, governance (ensuring compliance), and operationalization of integration solutions.
  • Advise technical teams on performance, scalability, reliability, monitoring, and other operational concerns of integration solutions on Anypoint Platform.

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