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MuleSoft Platform Architect's Guide : A Practical Guide to Using Anypoint Platform's Capabilities to Architect, Deliver, and Operate APIs / Jitendra Bafna and Jim Andrews.
Author
Bafna, Jitendra
[Browse]
Format
Book
Language
English
Εdition
First edition.
Published/Created
Birmingham, England : Packt Publishing, [2024]
©2024
Description
1 online resource (498 pages)
Details
Subject(s)
Application program interfaces (Computer software)
[Browse]
Computer software
—
Development
[Browse]
Author
Andrews, Jim
[Browse]
Summary note
Unlock the power of Anypoint Platform by leveraging MuleSoft methodology, Accelerators, runtime engines, and management tools to deliver secure, high-value APIs and integration solutions across the enterprise Key Features Discover Anypoint Platform's capabilities for creating high-availability, high-performance APIs Learn about AnyPoint architecture and platform attributes for Mule app deployment Explore best practices, tips, and tricks that will help you tackle challenging exam topics and achieve MuleSoft certification Purchase of the print or Kindle book includes a free PDF eBook Book Description We're living in the era of digital transformation, where organizations rely on APIs to enable innovation within the business and IT teams are asked to continue doing more with less. As such, this book will help you deliver a robust, secure, and flexible enterprise API platform, supporting any required business outcome. You'll begin by understanding Anypoint Platform's architecture and its capabilities for a modern integration approach. Then, you'll learn how to align business outcomes with functional requirements and how non-functional requirements influence the shape of the architecture. You'll also explore how Catalyst and Accelerators can be leveraged successfully, enabling efficient development cycles. As you progress, you'll become familiar with hassle-free deployment and hosting APIs in CloudHub 1.0/2.0, Runtime Fabric Manager, and a hybrid customer-hosted environment. You'll discover advanced operating and monitoring techniques with API Manager and Anypoint Monitoring. The concluding chapters will offer guidance and best practices on how to tackle complex topics, which will also be useful in helping you pass the challenging MuleSoft Certified Platform Architect exam. By the end of this book, you'll understand Anypoint Platform's capabilities and be able to architect solutions that deliver the desired business outcomes. What you will learn Understand Anypoint Platform's integration architecture with core components Discover how to architect a solution using Catalyst principles Explore best practices to design an application network Align microservices, application networks, and event architectures with Anypoint Platform's capabilities Identify non-functional requirements that shape the architecture Perform hassle-free application deployment to CloudHub using the Mule Maven plugin, CLI, and Platform API Understand how to manage the API life cycle for MuleSoft and non-MuleSoft APIs Who this book is for This book is for technical and infrastructure architects with knowledge of integration and APIs who are looking to implement these solutions with MuleSoft's Anypoint Platform. Architects enrolled in the platform architect course who want to understand the platform's capabilities will also find this book helpful. The book is also a great resource for MuleSoft senior developers transitioning to platform architect roles and planning to take the MuleSoft Platform Architect exam. A solid understanding of MuleSoft API development, ideally 3 to 5 years of experience with the platform, is necessary.
Notes
Includes index.
Source of description
Description based on publisher supplied metadata and other sources.
Description based on print version record.
Contents
Cover
Title Page
Copyright and Credits
Contributors
Table of Contents
Preface
Chapter 1: What is the MuleSoft Platform?
Technical requirements
What is MuleSoft and iPaaS?
How have integration approaches evolved?
J&
J Music Store Use Case
Point to Point
Middleware and Remote Procedure Calls
Enterprise Service Bus
Service Oriented Architecture
Representational State Transfer (REST Services)
iPaaS
What is the modern challenge to integration?
Breaking the law is harder than you think
Business innovation at the speed of technical debt
The Architectural capabilities of MuleSoft
Planes of operations
Platform deployment options
MuleSoft capabilities and components
Why are APIs so important in delivering modern integrations?
Summary
Questions
Answers
Further Reading
Chapter 2: Platform Foundation Components and the Underlying Architecture
The Anypoint control plane
Control plane hosting options
Securing the Anypoint control plane
Organizing the Anypoint control plane
The runtime plane overview
Runtime deployment options
Runtime plane hosting
Core components in the runtime plane
Combining control plane hosts and runtime hosts
Anypoint Core Services
Management capability
Design capability
Discover Capability
Further reading
Chapter 3: Leveraging Catalyst and the MuleSoft Knowledge Hub
Exploring Catalyst, its core principles, and its engagements
What is Catalyst?
Catalyst's foundation
Playbook organization
Catalyst engagements
Leveraging the Catalyst Knowledge Hub
Finding value in a C4E
Team enablement
Metrics and KPIs
Staffing
Answers.
Chapter 4: An Introduction to Application Networks
An introduction to MuleSoft application networks
What is an application network?
Components and the importance of an application network
Building and implementing an application network
Planning the roadmap
Designing and developing
Managing and evangelizing reuse
The benefits and best practices of an application network
Benefits
Best practices
Chapter 5: Speeding with Accelerators
Unpacking the accelerator building blocks
Pre-built APIs
Connectors
Templates
Data mappings
Endpoints
Customizing MuleSoft accelerators
Customizing the Accelerator for Retail - J&
J Music Store speeds up
Essential building blocks for MuleSoft accelerators
The MuleSoft Catalyst GitHub repository
Chapter 6: Aligning Desired Business Outcomes to Functional Requirements
Developing business outcomes and functional requirements
Designing for communication
EDM
Advantages of an EDM
Disadvantages of EDMs
Bounded context data model
Advantages of the bounded context data model
Disadvantages of the bounded context data model
Coarse-grained APIs
Advantages of coarse-grained APIs
Disadvantages of coarse-grained APIs
Fine-grained APIs
Advantages of fine-grained APIs
Disadvantages of fine-grained APIs
API concurrency
HTTP verbs
API callback
Chapter 7: Microservices, Application Networks, EDA, and API-led Design
Monolithic architecture
Advantages of a monolithic architecture
Disadvantages of a monolithic architecture
Microservices architecture
Characteristics of microservices
Advantages of a microservices architecture
Disadvantages of a microservices architecture
Saga pattern.
Saga choreography pattern
Saga orchestration pattern
The Competing Consumers pattern
Benefits of implementing the Competing Consumers pattern
Circuit Breaker pattern
Circuit Breaker states
Anypoint MQ
Message exchanges and queues
Cross-region failover for Anypoint MQ standard queues
Dead-letter queues
The Circuit Breaker pattern with Anypoint MQ
Event-driven architecture (EDA)
Benefits of EDA
Limitations of EDA
API-led connectivity and EDA together
Experience API
Process API
System API
Application networks and composability
Chapter 8: Non-Functional Requirements Influence in Shaping the API Architecture
Common non-functional requirements
Meeting performance requirements in the platform
Response time
Throughput
Error rates
Availability
Latency
Scalability
Resource allocation
Performance testing
Performance monitoring
Load balancing
Application caching
API security
Data security in motion or in transit
Data security at rest
Deployment strategies
Rolling update deployment
Blue-green deployment
Canary deployment
Chapter 9: Hassle-free Deployment with Anypoint iPaaS (CloudHub 1.0)
What is CloudHub 1.0?
Workers and worker size
Shared load balancer
Region
DNS records
Intelligent healing (single-region disaster recovery)
Zero downtime updates
High availability
Persistent Queues
Managing schedules
Object Store V2
Static IP address
Anypoint VPC
Anypoint VPC architecture
VPN IPsec tunnels
VPC peering
Transit Gateway Attachments
AWS Direct Connect
Calculating a CIDR mask for Anypoint VPC
Anypoint dedicated load balancer
Allowlist CIDRs
SSL certificates
Mutual authentication.
Dedicated load balancer sizing
Dedicated load balancer timeout
Dedicated load balancer mapping rules
HTTP inbound mode
Recommendations
Dedicated load balancers for public and private traffic
Different options for deploying a MuleSoft application to CloudHub 1.0 Runtime Manager
The Mule Maven plugin
Anypoint CLI
CloudHub 1.0 API
Chapter 10: Hassle-Free Deployment with Anypoint iPaaS (CloudHub 2.0)
What is CloudHub 2.0?
Why CloudHub 2.0?
Replicas and replica size
Clustering
Application isolation
Intelligent healing
Zero-downtime updates
Supported Mule runtime
Granular vCore options
Object Store v2
Last-mile security
Shared space
Private space
AWS service role
Inbound and outbound traffic rules
TLS context and domains
Public and private endpoints
Ingress load balancer
HTTP requests
VPN connection
Transit gateways
Private space network architecture
Multiple environments in private spaces
Multiple domains in private spaces
Different options for deploying MuleSoft applications to CloudHub Runtime Manager
Technical enhancements from CloudHub 1.0 to CloudHub 2.0
Chapter 11: Containerizing the Runtime Plane with Runtime Fabric
Kubernetes architecture
Master node components
Worker node components
What is Runtime Fabric?
Runtime Fabric on bare-metal servers/VMs
Network architecture
Shared responsibility between the customer and MuleSoft
The concept of etcd in Runtime Fabric
Quorum management
Fault tolerance
Inbound load balancer (ingress load balancer)
Anypoint Security
Application performance metrics.
Internal load balancer performance metrics
Runtime Fabric on self-managed Kubernetes
Runtime Fabric architecture on EKS
Installing Runtime Fabric on self-managed Kubernetes
Shared responsibilities between the customer and MuleSoft
High availability and fault tolerance
How will an application deployed to self-managed Kubernetes communicate with an external service for which IP whitelisting is required?
The difference between Runtime Fabric on self-managed Kubernetes and bare-metal/VMs
Tokenization services
Secrets Manager
CPU bursting in Runtime Fabric
Pod
Internal service-to-service communication
Persistence Gateway with Runtime Fabric
Deployment strategy
Backing up and restoring Runtime Fabric
When to use the backup and restore process
What's backed up?
Backing up and restoring
Different options for deploying a MuleSoft application to Runtime Fabric
The benefits of Runtime Fabric
Runtime Fabric on Red Hat OpenShift
Chapter 12: Deploying to Your Own Data Center
Hardware requirements
Software requirements
Why an on-premises Mule runtime?
Running applications in an on-premises Mule runtime
Load balancer
Anypoint clustering
Concurrency issues
Setting up Anypoint clustering manually
Setting up Anypoint clustering on Anypoint Platform
Persistent object store
Primary node and secondary nodes
VM queues in Anypoint clustering
Anypoint server group
Anypoint Platform Private Cloud Edition
Running on-premises Mule runtime use cases
Mule runtime plane on-premises and no control plane (standalone)
Mule runtime plane on-premises and control plane on Anypoint Platform (hybrid).
Mule runtime plane on-premises and control plane on Anypoint Platform PCE (fully on-premises).
Show 260 more Contents items
ISBN
9781805129622 ((electronic bk.))
OCLC
1450431535
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