Anypoint Platform Architecture: Integration Solutions ( ARC730 ) by Trailhead Academy
- Offered bySalesforce
Anypoint Platform Architecture: Integration Solutions ( ARC730 ) by Trailhead Academy at Salesforce Overview
Duration | 5 days |
Start from | Start Now |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Anypoint Platform Architecture: Integration Solutions ( ARC730 ) by Trailhead Academy at Salesforce Highlights
- Earn a certificate from Trailhead Academy
- Learn from industry experts
Anypoint Platform Architecture: Integration Solutions ( ARC730 ) by Trailhead Academy at Salesforce Course details
- This course is for 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
- 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 Anypoint Platform with any of the available deployment options (MuleSoft-hosted or customer-hosted control plane and runtime plane)
- Design Mule applications for the 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
- This course teaches experienced solution and technical architects how to design integration solutions that meet functional and non-functional requirements using Anypoint Platform
- It builds on prior experience developing and deploying Mule applications, and gives concrete guidance on 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
- The course is case-study driven, with the solution architecture and effect on the organization's overall architecture being documented as the course progresses
Anypoint Platform Architecture: Integration Solutions ( ARC730 ) by Trailhead Academy at Salesforce Curriculum
PART 1: Architecting and designing integration solutions
Introducing integration solution architectures
Describe the objectives of enterprise integration solution
Summarize how to architect for customer success with MuleSoft
Describe how integration solutions are documented
Identifying Anypoint Platform components and capabilities
Identify overall design intentions of Anypoint Platform
Review Anypoint Platform capabilities and high-level components
Review API-led development techniques and options
Identify Anypoint Platform components used to design and govern web APIs
Explain event-driven API support in Anypoint Platform
Distinguish between Anypoint Platform service and deployment models
Designing integration solutions using Mule applications
Identify how Mule application components are typically used to implement integration solutions
Apply Mule application components and capabilities to a range of use case
Choosing appropriate Mule event processing models
Distinguish between Mule blocking, non-blocking, parallel, and reactive event processing options
Identify the event processing models used in various Mule scopes and components
Identify Mule streaming options and behaviors
Describe the fundamentals of web APIs and event-driven architecture
Describe the event processing options for JMS and VM connectors
Select appropriate event processing for an integration use case
Design integration use cases with batch, near real-time, and real-time data synchronization
Choosing appropriate message transformation and routing patterns
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
Designing Mule application testing strategies
Explain why testing is important in an integration project
Identify the MuleSoft-provided framework and tools for testing during the software development lifecycle
Design testing strategies for a Mule application
Define test coverage for flows in a Mule applications
PART 2: Operationalizing integration solutions
Choosing and developing a deployment strategy
Identify the service and deployment models supported by Anypoint Platform
Distinguish between various Anypoint Platform deployment models
Design containerized deployments for Mule runtimes
Decide deployment options for various scenarios
Designing with appropriate state preservation and management options
Decide the best way to store Mule application state in persistent or non-persistent storage
Identify how to store a CloudHub application state using Object Store v2
Decide when to manage storage of Mule application state using persistent queues
Configure Mule application provided caches to store Mule application state
Avoid duplicate processing of previous records using watermarks and idempotency validation
Designing effective logging and monitoring
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
Designing an efficient and automated software development lifecycle
Manage property files for Mule applications across different environments
Manage Anypoint Platform environments for Mule application deployments
Implement continuous integration and continuous delivery (CI/CD) for an organization
Automate deployment and management with Anypoint Platform
PART 3: Strategies to meet non-functional requirements
Designing transaction management in Mule applications
Identify why and when transactions are supported in Mule applications
Identify resources that participate in transactions in Mule applications
Demarcate transaction boundaries in Mule applications
Choose the transaction type based on the participating resources
Manage a transaction using the Sage pattern
Designing for reliability goals
Distinguish between competing non-functional requirements
Clarify and validate reliability goals for a scenario
Design Mule applications and their deployments to meet reliability goals
Identify reliability pattern for Mule applications
Designing for high availability goals
Clarify high availability (HA) goals for Mule applications
Balance HA goals with reliability and performance goals
Identify ways to achieve HA using Anypoint Platform in CloudHub and customer-hosted runtime planes
Identify HA aware connectors and their design tradeoffs
Optimizing the performance of deployed Mule applications
Clarify performance goals for Mule applications
Balance performance goals with reliability and HA goals
Identify the need for performance optimization and associated tradeoffs
Describe ways to search for and locate performance bottlenecks
Describe how to design, architect, and implement for performance
Describe ways to measure performance
Designing secure Mule applications and deployments
Identify Anypoint Platform security concepts and options
Describe how to secure APIs on Anypoint Platform
Explain the security needs addressed by Anypoint Platform edge security
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
Designing secure network communications between Mule applications
Describe Anypoint Platform network security options and architectures
Describe how to secure Mule applications using Java key stores
Design TLS communication and other network security options for an integration use case
Distinguish between various CloudHub deployments with load balancers
Properly size an Anypoint Virtual Private Cloud (VPC) to support deployment of all expected Mule applications