Pega Platform design patterns

Pega Platform™ model-driven, unified approach delivers enterprise-grade, agile applications with a no-code authoring experience. Pega Platform design patterns share best practices to successfully deliver Pega projects using all the capabilities of Pega Platform..

Overview

Featured Patterns Creating case stages Apply validations to ensure data integrity Securing a public facing application Knowledgebase Links What's new in the Platform Platform Knowledgebase Upgrade Center Featured Capabilities Case Management Low-Code Application Development Data Integration User Experience DevOps Security Conversational Channels Mobile Reporting Design Patterns Platform Patterns Capability/Industry Area Description Apply validations to ensure data integrity Low-Code Application Development Applying various types of validations in an application Best practices for non-functional aspects of the end-user experience Application development Best practices for non-functional aspects of the end-user experience Chatbot Engine extensions Conversational Channels A list of Pega Chatbot engine extension points which you can use to customize the conversational channels behavior. Define Authorization Model Security Defining the authorization model. Defining and applying case statuses Case Management Defining case statuses Designing Pega unit tests Low-Code Application Development Best practices for designing Pega unit tests Editing file listener vs queuing Data integration Best practices for modifying the external system data intake process by editing the file listener and queuing Identify Case Types Case Management Identifying the case types for an application. Optimize an application's performance Low-Code Application Development Testing and tuning an application during its application lifecycle to optimize performance. PDF document generation patterns Case management Methods of creating PDF files in Pega Platform Securing a public facing application Security Securing a public facing application Using email bots for Natural Language Processing and Machine Learning Conversational Channels Using Natural Language Processing and Machine Learning to optimize email bots When to use a dynamic case Case Management Deciding when to use a dynamic case When to use a sub-case Case Management When to use a sub-case to assist with processing work When to use sub-processes Case Management Deciding when to use a sub-process Case Management Design Patterns Description Defining and applying case statuses Defining case statuses Identify Case Types Identifying the case types for an application. When to use a dynamic case Deciding when to use a dynamic case When to use a sub-case When to use a sub-case to assist with processing work When to use sub-processes Deciding when to use a sub-process Low-Code Application Development Design Patterns Description Apply validations to ensure data integrity Applying various types of validations in an application Designing Pega unit tests Best practices for designing Pega unit tests Optimize an application's performance Testing and tuning an application during its application lifecycle to optimize performance. Data Integration There are no design patterns for the capabilities User Experience There are no design patterns for the capabilities DevOps There are no design patterns for the capabilities Security Design Patterns Description Define Authorization Model Defining the authorization model. Securing a public facing application Securing a public facing application Conversational Channels Design Patterns Description Chatbot Engine extensions A list of Pega Chatbot engine extension points which you can use to customize the conversational channels behavior. Using email bots for Natural Language Processing and Machine Learning Using Natural Language Processing and Machine Learning to optimize email bots Mobile There are no design patterns for the capabilities Reporting There are no design patterns for the capabilities