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Hugo Herrera

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Beschreibung

Struggling to architect secure, scalable Power Platform solutions that keep up with AI and enterprise demands? Microsoft Power Platform Solutions Architect's Handbook is your expert guide to building intelligent, future-ready applications with Microsoft's low-code platform. This updated second edition brings you the latest on Copilot, Azure OpenAI, AI Builder, and Power Platform AI patterns.
Through a hands-on enterprise case study, you'll work through every stage of solution architecture, from requirements analysis and envisioning to secure data modeling, integration, governance, and DevOps implementation. You'll tackle real-world challenges such as licensing constraints, ALM pipeline design, multi-cloud integration, and establishing a Center of Excellence. A refreshed PL-600 certification prep chapter with current questions and exam tips will help you gear up for the exam.
By the end of this book, you'll have the mindset, tools, and strategies to design scalable, AI-enhanced Power Platform solutions while using the latest in LLM and GPT technologies. Whether modernizing legacy systems or architecting cloud-native applications, this book equips you to lead digital transformation initiatives with enterprise-grade excellence.

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Veröffentlichungsjahr: 2025

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Microsoft Power Platform Solutions Architect’s Handbook

Second Edition

Architect future-ready solutions by extending Power Platform with Azure, AI, and Copilot

Hugo Herrera

Microsoft Power Platform Solutions Architect’s Handbook

Second Edition

Copyright © 2025 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

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First published: July 2022

Second edition: September 2025

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Published by Packt Publishing Ltd.

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ISBN 978-1-83508-926-2

www.packtpub.com

For the consultants, architects, and leaders on this tech rollercoaster. We build the tracks and brave the ride.

– Hugo Herrera

Contributors

About the author

Hugo Herrera’s lifelong passion for technology began with a ZX Spectrum 128K, which has led him to become a leading Power Platform and AI solutions architect. With a hands-on approach to technical leadership, he specializes in turning around challenging projects for consultancies, partners, end-users, and Microsoft. His passion for pushing the boundaries has led to his work on self-evolving agents, alongside other research projects in the artificial intelligence arena.

Away from the keyboard, Hugo is an avid fan of the great outdoors; you’ll often find him jogging through the forest, trying to keep up with his cocker spaniel. His most cherished time, however, is spent with his wife, Janni, and daughter, Laura, who provide the perfect balance to a life in tech.

About the reviewer

Eric Horbinski is a certified Power Platform Solution Architect Expert with over 20 years of experience in technology leadership. Also certified in Dynamics CRM, Eric has specialized in low-code and pro-code enterprise business applications, helping companies design and implement architectures that align technology with organizational goals.

He brings deep expertise in Microsoft cloud platforms, enterprise systems, solution governance, and project management, and has guided both teams and executives in turning complex technical challenges into practical strategies that deliver lasting business value.

Table of Contents

Preface

Free Benefits with Your Book

Part 1:Introduction

1

Introduction to Power Platform Solution Architecture

Laying the foundations for great solution architecture

Security

Makers (formerly citizen developers)

Compliance

Maintainability

Availability

Performance and scalability

Monitoring and operation efficiency

Cloud enablement

Cost-benefit balance

Understanding your role as a Power Platform solutions architect

Manage expectations and project scope

Help people reach the same conclusion

Define standards and implementation guidelines

Break down work into actionable tasks

Give the good news and bad news

Lead by example

Conclusion – embracing your role as a solutions architect

Power Platform architecture overview

Dataverse – the backbone of Power Platform data-based applications

The four key Power Platform components

Power Apps

Power Automate

Power BI

Copilot Studio

Other key Power Platform components

Environments and tenants

Security

Power Platform application life cycle management

Microsoft’s cloud-based ecosystem

Dynamics 365

Microsoft 365

AppSource

Azure

A hands-on approach to Power Platform solution architecture

A day in the life of a solutions architect – a success story

Lessons learned

Summary

Further reading

2

The Digital Transformation Case Study

Introducing Skyline Harbor

Understanding the current architecture

The goal

Summary

Part 2: Requirements Analysis, Solution Envisioning, and the Implementation Roadmap

3

Discovery and Initial Solution Planning

Discovering the business and its needs

Pre-discovery research

Company website

Preparing effective discovery questions

Orchestrating the discovery phase

Defining the success criteria

Identifying solutions within Power Platform and other Microsoft cloud services

Case study scenario – aligning Skyline Harbor’s requirements with Microsoft solutions

Leveraging AppSource apps, third-party applications, and other solutions

Case study scenario – matching requirements to AppSource components

An early view of the migration effort

Case study scenario – sizing the migration effort at Skyline Harbor

Summary

4

Identifying Business Processes, Risk Factors, and Success Criteria

Conducting high-level discovery workshops

Preparing discovery sessions

Delivering discovery sessions

The post-discovery session wrap-up

Understanding the organization’s key success criteria

Case study – reviewing the key success criteria at Skyline Harbor

Facilitating understanding through high-level processes and data modeling

Benefits of a high-level process and data models

Modeling the high-level business processes

Case study – modeling existing and proposed business processes

Case study – a high-level model of the existing data structure

Identifying automation opportunities and process optimization

Case study – identifying optimization opportunities at Skyline Harbor

Balancing digital transformation risk factors through planning and mitigation

Case study – the SWOT analysis

Case study – initial project risk analysis

Summary

5

Understanding the Existing Architectural Landscape

Evaluating the current architectural landscape

Identifying Power Platform data sources, their usage, and their quality standards

Case study – current data sources at Skyline Harbor

Documenting the organization’s architecture

Case study – assessing the existing architecture at Skyline Harbor

Anticipating future challenges

Concluding the architecture assessment

Summary

6

Requirements Analysis and Engineering for Solution Architecture

Effective requirements analysis and engineering overview

Preparing the requirements capture sessions

Defining the purpose and desired outcomes for the session

Reviewing previously defined requirements

Defining a clear agenda

Identifying attendees and stakeholders

Scheduling the workshops

Preparing facilities, equipment, and demonstration platforms

Preparing baseline documentation

Sharing the session prerequisites with the attendees

Arranging for any support required during the workshop sessions

Case study – Preparing the requirements capture sessions

Define the purpose and desired outcomes for the session

Review previously defined requirements

Define a clear agenda

Identify attendees and stakeholders

Schedule the workshops

Prepare facilities, equipment, and demonstration platforms

Prepare baseline documentation

Share the session prerequisites with the attendees

Arrange for any support required during the workshop sessions

Delivering the requirements capture sessions

Start with the desired outcome

Drive the agenda

Refining high-level requirements

Identifying functional requirements

Identifying non-functional requirements

Assessing requirement feasibility

Managing conflicting requirements

Managing exceptions

Managing scope creep

Leveraging requirements capture methodologies and templates

Helping stakeholders share your vision

Post-requirement capture review and sign-off

Reviewing the requirements capture workshop sessions

Confirming and re-aligning requirements to the overall transformation goals

Using a requirements traceability matrix

Summary

7

Conducting Effective Fit Gap Analysis in Power Platform

Introduction to fit gap analysis

Power Platform fit gap analysis essentials

In-depth feasibility analysis

Best fit analysis – aligning Microsoft product capabilities

Matching requirements to Power Platform components

Matching requirements to Dynamics 365

Matching requirements to Microsoft 365 and Azure Services

Matching requirements to industry accelerators

Evaluating AppSource, third-party, and custom solutions to fill functional gaps

Case study – matching Skyline Harbor requirements to AppSource components

Licensing and API limit considerations in fit gap analysis

Licensing considerations

Power Automate API limit considerations

Keeping up with licensing changes

Validating solutions through POC implementations

Summary

Part 3: Architecting the Power Platform Solution

8

Designing a Power Platform Solution

Defining a Power Platform solution architecture topology

Understanding the current state

Understanding the to-be state

Architecture that fits short- and long-term objectives

Linking the architectural building blocks

Presenting multiple architecture options to facilitate the selection

Considering any project’s constraints

Product roadmap

Power Platform detailed design

Power Apps design patterns

Business process designs

State machine designs

Dataverse design

Model-driven apps design

Canvas apps design

Designing Power Pages

Configuration versus custom development in Power Pages and model-driven apps

Power Automate design

Facilitating understanding through descriptive visual designs

Designing UX prototypes for customer-facing and internal applications

Benefits of UX prototypes

Designing data migration strategies

Defining an ALM process

Planning an environment strategy

Setting up an Azure DevOps project

Creating a Power Platform solution and publisher

Creating a development export pipeline

Building the Power Platform solution

Creating a deployment pipeline

Granting access to users

Summary

9

Effective Power Platform Data Modeling

Translating complex business requirements into visual data models

Creating logical data models

Creating physical data models that support the implementation

Deciding factors for integrating or importing external data sources

Dataverse

Copying data to Dataverse

Copying data to Azure Data Lake

Direct access to external data

Defining extensible Power Platform data models

Dataverse table types

Selecting column data types

Optimal reference and configuration data modeling strategies

Modeling reference data

Modeling configuration data

Establishing table relationships and cascade behaviors

Types of Dataverse relationships

Relationship behaviors

Power Platform data modeling best practices

Deciding whether to use built-in or custom tables

Deciding whether to use the Account and Contact tables

Summary

References

10

Power Platform Integration Strategies

Introduction to Power Platform integrations

Your role during the implementation of Power Platform integrations

Benefits of Power Platform integrations

Power Platform integration challenges

Steps for a successful Power Platform integration

Identifying the need

Evaluating options

Designing Power Platform integrations

Building the integration

Releasing the integration into production

Case study: Skyline Harbor’s address search integration

Designing integrations between Power Platform and Microsoft 365

Designing for Exchange integration

Designing Power Platform integrations with Outlook

Designing Power Platform SharePoint integrations

Designing integrations with on-premise and cloud-based systems

Options for connecting on-premise systems and Power Platform

Integrating Power Platform applications with cloud-based services

Defining inbound and outbound authentication strategies

Designing Power Platform inbound authentication strategies

Designing Power Platform outbound authentication strategies

Designing a business continuity strategy for Power Platform integrations

Monitoring and alerts

Recovery

Exception handling

Summary

11

Defining Power Platform Security Concepts

Designing the Power Platform core security model

Understanding an organization’s security requirements

Securing Power Platform environments

Providing Dataverse API access to external applications

Defining DLP policies for Power Platform solutions

Securing Dataverse-based applications 

Common usage patterns for security design

Best practices

Leveraging Dataverse security features

Defining a Dataverse permissions matrix

Defining access routes for external Power Platform users

Summary

Part 4: Harnessing the Power of Artificial Intelligence

12

Power Platform and AI

AI Builder – an architect’s overview

AI Builder capabilities

Choosing between prebuilt and custom AI models

AI Builder in Power Automate

AI Builder in Power Apps

AI Builder – planning the solution

Identify business needs and AI opportunities

Choose the right AI model

Design the end-to-end workflow

Integrate AI Builder into the solution

Test and refine the model and workflow

Deploy, monitor, and improve

AI Builder licensing

Case study – automated invoice processing at Skyline Harbor

Step 1 – Define the project goals

Step 2 – Implement a PoC

Step 3 - License and capacity planning

Step 4 – Design the AI-powered solution

Step 5 – Incorporate human oversight

Step 6 – Deployment, monitoring, and ongoing optimization

AI Builder case study conclusion

Integrating Power Platform and Azure OpenAI GPT models

AI Builder versus Azure OpenAI Service (GPT)

Use cases for GPT in Power Platform

Integrating Azure OpenAI with Power Platform

Integrating alternative AI services

Security and data governance considerations

Power Platform Power Platform LLM design patterns

Retrieval-Augmented Generation overview

Power Platform as the low-code RAG orchestration layer

Data augmentation sources for RAG

Leveraging custom models (fine-tuning)

Monitoring AI consumption by design

Case study – Advanced customer feedback analysis at Skyline Harbor

Step 1 – Define the project goals

Step 2 – Review compliance and policies

Step 3 – Implement a PoC

Step 4 – Design the solution architecture

Step 5 – Build the solution

Step 6 – Test and deploy the solution

Step 7 – Monitor performance and continuously improve

Summary

13

Copilot

Overview of Copilots in Power Platform

Power Apps Copilot

Copilot for makers: Conversational authoring

Copilot for end users: In-app conversational chat

Power Automate Copilot

Copilot in cloud flows

Copilot in other areas

Power Pages Copilot

Power Pages Copilot capabilities

Architectural considerations

Copilot Studio

Core Copilot Studio capabilities

Architectural and configuration considerations

Planning Power Platform Copilots

Evaluating regional availability, data residency, and language support

Estimating demand

Selecting a funding model

Case study: Power Platform Copilots at Skyline Harbor

Analysis of Copilot requirements

Planning the Copilot implementation

Build and implementation

Testing

Go-live and post-go-live monitoring

Summary

Part 5: Implementing Solid Power Platform Solutions

14

Validating the Solution’s Design and Implementation

A continuous review of detailed designs and their resulting implementation

Validating the Power Platform detailed designs

Validating and reviewing the Power Platform implementation

Case study – digital transformation at Skyline Harbor – updated with development guidelines

Validating compliance with the defined security requirements

Validating Dataverse security for compliance with best practices and guidelines

Validating authentication strategies

Validating storage and processing secrets

Monitoring for security compliance

Implementing solutions that work within Power Platform API limits

User API limits

Resolving business automation conflicts

Resolving integration conflicts

Identifying integration conflicts

Systematically solving integration conflicts

Summary

15

Power Platform Implementation Strategies

Power Platform environment and tenant configurations

Selecting geographical locations for the environments

Deciding on a Power Platform environment strategy

Optimizing the output of cross-functional Power Platform development teams

Understanding the team’s capabilities

Implementing effective test strategies for Power Platform solutions

Manual testing

Automated tests

Load tests

Security and penetration tests

Summary

16

Power Platform ALM

Selecting the right Power Platform ALM solution for your project

Using Power Platform pipelines for ALM

Using Azure DevOps for ALM

Part 1: Configuring automated Power Platform source control

Part 2: Configuring automated Power Platform deployments

Summary

17

Go-Live Strategies and Support

Selecting a go-live strategy

Selecting a phased go-live strategy

Selecting a big-bang go-live strategy

Migration go-live strategies

Preparing for go-live

Identifying the resources required to go live

Training users and maximizing adoption

Defining the post-go-live capacity management and monitoring plan

Planning the go-live cutover (who will do what and when)

Ramping up the operational support activities

Preparing a communication plan

Common go-live issues and how to preempt them

Validating the solution before rolling it out to production

Taking into account the Power Platform product release schedule

Running through the go-live checklist

The go/no-go decision

Rolling out the production environment

The cutover

Deciding when to roll back

Troubleshooting data migration issues

Handing over operational support

Summary

18

Setting Up a Power Platform Center of Excellence

What is a Power Platform CoE?

The two drivers of a CoE

Aims of a CoE

Benefits of a CoE

The CoE’s core features

Establishing your CoE: From vision to reality

Introducing the CoE Starter Kit: A tool to support your CoE

Setting up the CoE Starter Kit

Core setup steps

Optional components and process setup steps

Best practices and considerations

When and how to leverage the CoE’s capabilities

Scenarios for a CoE-led strategy

Practical use cases for the CoE Starter Kit

When a CoE may not be necessary

Scaling, optimization, and maturity stages

Case study: Skyline Harbor implements a Power Platform CoE

Business challenges

CoE implementation and strategy

Solution highlights

Outcomes and impact

Summary

Part 6: Power Platform Solution Architect Certification Prep

19

Microsoft Certified: Power Platform Solution Architect Expert Certification Prep

The benefits of becoming a Microsoft Certified Power Platform Solution Architect Expert

Preparing for the PL-600 certification exam

Tips for exam day

PL-600 example questions

PL-600 answers

Recommended further reading and additional learning materials

Summary

Final thoughts

20

Unlock Your Exclusive Benefits

Index

Other Books You May Enjoy

Preface

If you’ve been looking for a way to unlock the potential of Microsoft Power Platform and take your career as a solutions architect to the next level, then look no further—this practical guide covers it all.

This second edition of the Microsoft Power Platform Solutions Architect’s Handbook is fully updated to cover the modern demands of the role. Its comprehensive coverage ranges from foundational best practices such as fit gap analysis and leading design processes to architecting the next generation of intelligent business applications with AIand Copilot. You’ll also master the critical skills of enterprise governance, including application lifecycle management (ALM), defining robust security models, and establishing a Center of Excellence (CoE) to ensure long-term success and adoption.

The book takes a hands-on approach by guiding you through a fictional case study throughout, allowing you to apply what you learn as you learn it. At the end of the handbook, you’ll discover a set of mock exam questions for you to embed your progress and prepare for the PL-600 Microsoft certification.

Whether you want to learn how to work with Power Platform or want to take your skills from the intermediate to advanced level, this book will help you achieve that and ensure that you’re able to add value to your organization as an expert solutions architect.

Who this book is for

This book is for solutions architects, enterprise architects, technical consultants, and business and system analysts who implement, optimize, and architect Power Platform and Dataverse solutions. It will also help anyone who needs a detailed playbook for architecting and delivering successful digital transformation projects that leverage the Microsoft business applications ecosystem.

A solid understanding of core Power Platform components and their administration is expected. You should be familiar with Dataverse, Power Automate, Power Pages, and both canvas and model-driven apps.

What this book covers

Chapter 1, Introduction to Power Platform Solution Architecture, introduces the crucial role of the Power Platform solutions architect, providing an overview of the platform’s components and the broader Microsoft cloud ecosystem.

Chapter 2, The Digital Transformation Case Study, introduces Skyline Harbor, the security-focused financial services organization that serves as the book’s central case study. We’ll explore its current infrastructure and digital transformation requirements, which provide the foundation for the hands-on scenarios in the chapters ahead.

Chapter 3, Discovery and Initial Solution Planning, focuses on the discovery and initial planning phase. You will learn to analyze business processes, map a digital transformation vision to Power Platform and third-party solutions, and estimate the effort required to create a successful implementation blueprint.

Chapter 4, Identifying Business Processes, Risk Factors, and Success Criteria, teaches you how to identify high-level business processes and opportunities for automation while assessing key risk factors. You will also learn to define and formalize the critical success criteria that will guide the implementation and measure its success.

Chapter 5, Understanding the Existing Architectural Landscape, focuses on understanding the starting point of a digital transformation. You will learn to assess and document an organization’s existing architectural landscape, evaluate its data sources and data models, and establish a clear “as-is” state to inform the project’s requirements.

Chapter 6, Requirements Analysis and Engineering for Solution Architecture, details a systematic approach to requirements engineering. You will learn how to capture and document detailed functional and non-functional requirements, ensuring that the final solution architecture aligns with the organization’s strategic digital transformation goals.

Chapter 7, Conducting Effective Fit Gap Analysis in Power Platform, details the fit gap analysis process, teaching you how to map requirements against the full Microsoft cloud stack. You’ll also learn how to factor in crucial constraints such as licensing and API limits and use proofs of concept (POCs) to validate and define the final solution scope.

Chapter 8, Designing a Power Platform Solution, covers the creation of the solution blueprint. You will learn how to design and visualize the core architecture, define user prototypes, and create comprehensive strategies for automation, data migration, and supportable customizations.

Chapter 9, Effective Power Platform Data Modeling, focuses on creating an effective data model, which is the foundation of your Power Platform solution. You’ll learn how to translate business requirements into a visual model and make critical design decisions.

Chapter 10, Power Platform Integration Strategies, focuses on designing a robust integration strategy. You will learn how to securely connect Power Platform to internal systems using gateways, Microsoft 365, and third-party APIs. The chapter covers defining secure authentication methods, planning for business continuity, and leveraging Microsoft Azure to extend the solution’s capabilities.

Chapter 11, Defining Power Platform Security Concepts, teaches you how to design a comprehensive, multi-layered security model for Power Platform.

Chapter 12, Power Platform and AI, explores how to embed AI into your Power Platform solutions. You will start with the low-code capabilities of AI Builder, using it to automate invoice processing. Then, you’ll advance to integrating Azure OpenAI Service, learning about the retrieval-augmented generation (RAG) pattern to architect secure, enterprise-grade generative AI solutions.

Chapter 13, Copilot, provides a comprehensive guide to planning and designing copilot experiences in Power Platform. You will explore the full spectrum of capabilities, including the copilots that enhance productivity in Power Apps, Power Automate, Power Pages, and conversational AI with Copilot Studio.

Chapter 14, Validating the Solution’s Design and Implementation, focuses on validating the solution design and its implementation. You will learn how to review the project for compliance with Microsoft best practices, alignment with business requirements, and adherence to security concepts and API limits. Additionally, the chapter provides a systematic approach to troubleshooting and resolving integration conflicts.

Chapter 15, Power Platform Implementation Strategies, covers key strategies for a successful Power Platform implementation. You will learn how to select the optimal environment and deployment strategies, organize development teams for maximum efficiency, and define robust testing frameworks to ensure quality control throughout the project lifecycle.

Chapter 16, Power Platform ALM, covers ALM for Power Platform. You will learn how to select the right tool for your project, whether it’s the simple, in-product Power Platform pipelines for straightforward deployments or the robust, enterprise-grade capabilities of Azure DevOps for more complex scenarios.

Chapter 17, Go-Live Strategies and Support, covers the critical final steps of a project: go-live and support. You will learn how to plan and execute a phased go-live strategy, prepare the production environment, and proactively identify and resolve common issues such as performance bottlenecks, data migration problems, and last-minute deployment conflicts.

Chapter 18, Setting Up a Power Platform Center of Excellence, teaches you how to establish a Power Platform CoE to drive governance and successful low-code adoption. The chapter covers how to define a vision for your CoE and then install and leverage the Starter Kit to bring that vision to life.

Chapter 19, Microsoft Certified: Power Platform Solution Architect Expert Certification Prep, helps you leverage the book’s practical knowledge to achieve your Microsoft Certified: Power Platform Solution Architect Expert certification. It serves as a focused preparation guide for the PL-600 exam, providing study resources, exam day tips, and mock questions to test your readiness and solidify your learning.

To get the most out of this book

To ensure that you gain the maximum value from the concepts and scenarios discussed, we assume you already have a baseline knowledge of the core Power Platform components. This handbook is not an introduction to the platform itself, but rather a guide to architecting solutions with it.

To get the most out of the architectural patterns and best practices in this book, we highly recommend that you first solidify your foundational knowledge. Before diving in, please take the time to review the administration and development training guides and tutorials available free of charge on Microsoft Learnat https://learn.microsoft.com/training/powerplatform/.

A solid understanding of the platform’s core capabilities will provide the essential context needed to fully appreciate the architectural decisions, trade-offs, and strategies we explore. By starting with this foundation, you’ll be perfectly positioned to bridge the gap between technical skill and architectural excellence.

Download the images and diagrams

We also provide a PDF file that has images of the screenshots and diagrams used in this book. You can download it here: https://packt.link/gbp/9781835089262.

Conventions used

There are a number of text conventions used throughout this book.

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Some projects use the Partial Gap, Full Gap, and No Gap categories.”

Tips or important notes

Appear like this.

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Part 1:Introduction

This part introduces the solutions architect’s role in Microsoft Power Platform implementations. After completing this part, you will have a high-level understanding of Power Platform’s capabilities and how it benefits from the Microsoft 365 and Azure ecosystem.

This part has the following chapters:

Chapter 1, Introduction to Power Platform Solution ArchitectureChapter 2, The Digital Transformation Case Study

1

Introduction to Power Platform Solution Architecture

Welcome to the world of Microsoft Power Platform solution architecture. In this book, we aim to equip you with a hands-on approach so that you can apply best practices, tackle challenges, uncover opportunities, and maximize the value of Microsoft solutions for your customers.

The focus of this first chapter is to explore the role of the solutions architect and Power Platform, along with the broader Microsoft stack.

In this chapter, we’ll cover the following main topics:

Laying the foundations for great solution architectureUnderstanding the solutions architect’s rolePower Platform architecture overviewMicrosoft’s cloud-based ecosystemA hands-on approach to solution architecture

By the end of this chapter, you’ll have an understanding of the tools and frameworks that will be used throughout the activities in this book. You’ll also gain an awareness of the various components that make up Power Platform implementations.

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Your purchase includes a free PDF copy of this book along with other exclusive benefits. Check the Free Benefits with Your Book section in the Preface to unlock them instantly and maximize your learning experience.

Laying the foundations for great solution architecture

The advent of cloud-based solutions has ushered in an era of scalable, highly performant, and secure business applications. Planning, designing, and building a robust Power Platform solution architecture requires applying a set of principles consistently. Each organization and solution is unique, and while a single solution design pattern doesn’t exist, the following nine concepts will help you lay the foundations for a great Power Platform solution architecture:

Figure 1.1 – The nine pillars for a great solution architecture

Let’s delve into these nine key concepts, all of which will guide you in creating a solid Power Platform solution architecture.

Security

Data is often considered the crown jewel for most organizations, making its security paramount throughout the implementation process. Your role will involve defining authentication strategies, identifying network vulnerabilities, and managing secrets, certificates, and other credentials. These activities will help you establish secure perimeter controls for your solution.

A rock-solid Power Platform security strategy achieves the following objectives:

Instills confidence: Reinforces client trust in their Power Platform investment through enhanced data governance and security measuresStreamlines implementation: Facilitates a smoother implementation and configuration process by providing advanced tools for data protection and complianceMinimizes risk: Reduces the risk of data breaches in production environments through comprehensive data visibility and management capabilities

In addition to these core security measures, utilizing Microsoft Purview can significantly enhance your data governance and protection efforts. Microsoft Purview offers robust data cataloging, classification, and compliance management capabilities, all of which help manage data across various sources and ensure that privacy and regulatory requirements are met.

In the forthcoming chapters, you’ll master the tasks that ensure data remains solely in the hands of authorized users.

Makers (formerly citizen developers)

Power Platform presents a plethora of features that empower users to extend the base implementation. A great architecture blueprint will acknowledge these user-accessible features and incorporate them into daily activities strategically. The Power Platform design will set up guardrails to safely empower users to build their components, allowing them to achieve greater productivity through a synergy between the base implementation and user-created enhancements.

In the forthcoming use case scenarios, you’ll gain insights into defining Power Platform solutions that empower users safely and effectively.

Compliance

Privacy and trust requirements can vary significantly based on the industry, geographical location, scope, and nature of the implementation. To adhere to local and international regulations, data retention policies and access request channels must be well-defined.

In this book, you’ll delve into the tools and capabilities of Microsoft Trust Center. You’ll use these to locate certifications for the various components that make up the solution. By leveraging these resources, you’ll ensure your solution remains compliant and trustworthy.

Maintainability

Power Platform solutions architects design solutions that leverage the inherent functionality of each Microsoft component. Leveraging the standard capabilities of Power Apps, Dataverse, and the broader Microsoft ecosystem, configuring and customizing these components serves as the primary implementation approach. Custom development is considered only when all other options have been explored and implemented within the confines of supported customizations.

Following this configure-first approach, you’ll define clear implementation principles and best practices for the teams to adhere to. By prioritizing maintainability and supportability from the outset, the solution can evolve smoothly throughout its life cycle.

Availability

Organizations place high expectations on the uptime and availability of their vital systems and business applications. During the early stages of solution design, these requirements are identified diligently and aligned with the capabilities of Power Platform’s products. Solutions architects possess a deep understanding of the availability and recoverability features within each component of the implementation. They skillfully design integrations with robust retry strategies and fallbacks to safeguard against transient faults that could potentially impact the solution.

In the following chapters, you’ll explore the features that are available within each Power Platform component, define recovery strategies, and design integrations with a high level of fault tolerance.

Performance and scalability

When it comes to business applications and portals, users expect prompt response times. Solutions architects play a crucial role in documenting these performance requirements and translating them into actionable tasks. Key considerations such as Dataverse capacity planning, integration response times, Power Automate throughput, and Power Pages user experience are carefully evaluated throughout the solution architecture process.

Beyond performance, solutions architects plan for the optimal allocation of Power Platform resources, ensuring the system can scale to meet changing demands. In the upcoming chapters, you’ll dive into the art of efficient resource allocation and maximizing performance while optimizing costs. By mastering these strategies, your solution will not only deliver a stellar user experience but will also be equipped to adapt in the face of varying workloads.

Monitoring and operation efficiency

A robust monitoring architecture serves as the foundation for proactively detecting faults in the solution before they occur. Monitoring strategies offer valuable visibility into resource usage, allowing administrators to visualize the solution’s performance and make necessary adjustments for optimal operation.

In the upcoming chapters, you’ll learn how to plan and implement effective monitoring solutions that enhance the operational efficiency of Power Platform systems.

Cloud enablement

Power Platform and the broader Microsoft cloud-based ecosystem offer an exciting opportunity to delegate the setup and maintenance responsibilities of managing the underlying platform. This shift provides solutions architects with enhanced freedom to concentrate on the implementation architecture. This differs from on-premises solutions, which demand the meticulous consideration of hardware and software capabilities, constraints, and ongoing administration overheads.

In the upcoming chapters, you’ll discover the art of shifting these responsibilities to the service provider while leveraging Microsoft’s robust support infrastructure. By embracing this approach, you’ll unlock the potential of Power Platform and Azure’s cloud services and be able to streamline management tasks, and enable greater focus on delivering innovative solutions.

Cost-benefit balance

By applying the essential solution architecture concepts mentioned earlier, you can create a scalable, performant, and secure Power Platform implementation. However, it’s important to recognize that adhering to these architectural pillars comes with costs, whether they’re financial, increased project timelines, or operational considerations.

Throughout this book, you’ll learn how to strike a balance between the costs associated with implementing these key concepts and the benefits they bring to the organization. You’ll learn how to engage in constructive discussions with key stakeholders to prioritize organizational goals and weigh them against the cost-benefits of each pillar in achieving great solution architecture.

Architecture in action

Keep an eye out for the Architecture in action sections as they offer practical, hands-on applications for each of the nine pillars discussed in this section. You’ll encounter these sections throughout the upcoming chapters, allowing you to experience the concepts first-hand.

Understanding your role as a Power Platform solutions architect

As a Power Platform solutions architect, you’ll leverage your technical knowledge and functional expertise to guide the implementation teams, navigating risks, issues, and changes to make the implementation a success. Successful solutions architects maintain an ongoing dialog with stakeholders, project managers, and implementation team members to ensure the project’s vision is realized.

The following diagram illustrates the key activities that a solutions architect engages in during a typical Power Platform implementation:

Figure 1.2 – The solution architect’s role

Manage expectations and project scope

As a solutions architect, you’ll ensure that project requirements are actioned. When requirements change, as is often the case during agile implementations, you’ll learn how to assess the associated risks. Setting appropriate expectations regarding implementation timescales is vital. In the case of scope creep, you’ll review changes, break down new requirements into tasks, and communicate an action plan to project managers, stakeholders, and the development team effectively. This proactive approach mitigates unexpected impacts on the project budget and timeline.

The upcoming chapters provide practical examples of successfully managing project scope and customer expectations.

Help people reach the same conclusion

During the various phases of a Power Platform project, team members may present diverse opinions on the best approach to implement customer requirements. The solutions architect plays a pivotal role in carefully listening to options proposed by team members, project managers, and stakeholders to assess their value contribution to the project. It’s the solution architect’s responsibility to effectively convey the most suitable solution for the various challenges and tasks that are encountered during the implementation.

By creating an environment conducive to open discussions, the solutions architect fosters harmony and cooperation within the implementation team. By weighing the pros and cons and clearly articulating the rationale behind the proposed solution blueprint, they ensure alignment with current and future organizational requirements. Recognizing that team members may have varying levels of technical expertise, the solutions architect strives to raise awareness of the benefits of the solution design, emphasizing successful use cases of specific implementation strategies.

In the forthcoming chapters, you’ll engage in various scenarios where these negotiation skills will prove invaluable, contributing to the overall success of the project.

Define standards and implementation guidelines

In your role as a solutions architect, you’ll be responsible for defining the development and implementation standards that will help Power Platform consultants and developers build high-quality supportable solutions. Development standards define the technical approach, conventions, and controls expected from the implementation team, and provide a template for the Power Platform solution.

By defining clear implementation standards, you elevate the output capacity of the build teams. These standards establish a foundation for customizing every aspect of Power Platform, from table and column-naming conventions to advanced integration patterns, peer reviews, and coding standards.

In the forthcoming chapters, you’ll learn how to define implementation standards that facilitate faster onboarding of new team members and drive the progress of your implementation.

Break down work into actionable tasks

Throughout a Power Platform project, organizational requirements are captured at different stages of implementation. To ensure alignment with the overall solution, these requirements are broken down into tasks that implementation team members can deliver.

By leveraging task management and sprint planning tools such as Azure DevOps, you’ll analyze requirements and user stories, design a blueprint for implementation, and create tasks to be assigned to the implementation team. Being mindful of the diverse technical skill sets within a Power Platform implementation team, you’ll create tasks to address each aspect of the organizational requirements.

The chapters that follow will guide you through sample scenarios, teaching you how to divide implementation work into discrete pieces that align with the technical and functional skillsets of your build team.

Give the good news and bad news

While everyone relishes delivering good news, unforeseen complications can arise during the implementation of business applications and portals. These challenges may manifest in the form of new technical constraints, licensing model changes leading to additional costs, or the deprecation of product features. It falls upon the solutions architect to manage these issues effectively, promptly researching solutions to mitigate risks, and communicating the best course of action to the customer or project stakeholders.

Lead by example

Having defined project development standards and designed the blueprint for the Power Platform solution, you’ll proceed to lay the foundations for the implementation, actively supporting team members in building the solution from the ground up. Junior team members requiring additional attention during the early stages of the project will benefit from your guidance as you provide a cushion to handle development issues, ensuring that project timescales are achieved by boosting the overall team output. Leading by example will foster a cohesive and productive project environment, setting the stage for a successful implementation.

In the chapters that follow, you’ll delve into a scenario that demands precisely this type of intervention to ensure the seamless completion of a Power Platform project.

Conclusion – embracing your role as a solutions architect

This section provided an overview of the fundamental activities and responsibilities that solutions architects undertake in a typical Power Platform implementation. As you progress through this book, you’ll actively engage in these activities, solidifying your understanding and preparing yourself to apply these principles with confidence in future projects.

The next section will provide an overview of the Power Platform architecture, including its various components.

Power Platform architecture overview

The Power Platform architecturecomprises four key components: the environments and tenants that host these components and the security capabilities that are used for access control.

Before delving into the intricacies of these Power Platform components, it’s important to understand the foundation that underpins the majority of Power Platform implementations. This is the first topic for our architecture overview: Dataverse.

Dataverse – the backbone of Power Platform data-based applications

Dataverseis a configurable business application data store with advanced processing capabilities that acts as the foundation of most Power Apps-based solutions. Previously known as the Common Data Service, it consists of a relational database comprising tables and columns. Dataverse is configured using a graphical user interface made available via make.powerapps.com. Beyond data storage, Dataverse provides an extensive range of integration, security, and business process logic features.

The following diagram illustrates the key Dataverse components andtheir interactions:

Figure 1.3 – Key Dataverse components and their interactions

The flexible and configurable nature of Dataverse, combined with the wider Power Platform capabilities, provides a unique opportunity to solve business problems for virtually unlimited use cases. In the chapters that follow, you’ll learn how to design Power Platform solutions that make the most of Dataverse’s capabilities.

The four key Power Platform components

Power Platform comprises four key components, each delivering powerful capabilities on its own; combined, they provide a compelling framework for creating advanced business applications. The four key Power Platform components are as follows:

Power Apps: Low-code/no-code applications. Power Apps come in three different flavors:Model-driven apps: These apps focus on a data-first approach, leveraging Dataverse to generate forms, views, and business logic automatically to offer structured, data-centric solutions with minimal customization of the user interface required.Canvas apps: Highly customizable, canvas apps offer a drag-and-drop interface where you can design every pixel of the app, allowing for flexibility and creativity in how the app looks and behaves. They’re ideal for more tailored and unique user experiences.Power Pages: A solution for building secure, low-code websites that integrate directly with Dataverse. Power Pages are ideal for creating self-service portals for external users such as customers or partners, enabling seamless interactions with data.Power Automate: Streamlines workflows, automates repetitive tasks, and facilitates integrations between systems to improve efficiency and reduce manual effort.Power BI: Delivers rich visualizations and interactive reports, empowering users to explore and analyze data with ease, leading to informed business decision-making.Copilot Studio: Enables the creation of intelligent chatbots without the need for complex coding, allowing organizations to provide conversational AI experiences that enhance customer support and service.

In the following sections, we’ll provide an in-depth overview of each Power Platform component.

Power Apps

Power Appsstands as one of the four key components within the Power Platform framework. Model-driven apps, canvas apps, and Power Pages are the three types of applications that are available via this low-code/no-code framework. Let’s take a closer look at the different Power Apps that are available.

Model-driven apps

Model-driven apps are a pivotal component in any Power Platform implementation as they act as the user-facing interface of a Dataverse database. The following figure showcases a simple model-driven app:

Figure 1.4 – A model-driven app

Web and mobile users interact with model-driven apps through the web or dedicated mobile applications. The following diagram presents a high-level architectural view of the component:

Figure 1.5 – Model-driven apps – architectural overview

To begin working with model-driven apps, visit https://make.powerapps.com/ and select Create | Blank app | Model Driven App. For detailed guidance, please refer to https://learn.microsoft.com/power-apps/maker/model-driven-apps.

Power Pages

Power Pages is an evolution of PowerApps Portals and provides a superset of Portals’ capabilities, including new low-code capabilities and out-of-the-box templates. These internet-facing websites leverage Dataverse capabilities to present a rich and customizable web experience for common requirements such as customer service, partner management, employee self-service, and community portals:

Figure 1.6 – The Power Pages editor

The following diagram presents a high-level architectural overview of this component:

Figure 1.7 – Power Pages – architectural overview

Getting started

To begin working with Power Pages, visit https://make.powerpages.microsoft.com/ and follow the onscreen prompts. For detailed guidance, please refer to https://docs.microsoft.com/power-pages/.

Canvas apps

Canvas apps are UI-centered applications that can function independently or be embedded into other Power Platform applications. They may be connected to a Dataverse database or other data sources to present a fully customizable UI for interacting with the underlying data. A sample canvas app and its editor are illustrated in the following screenshot:

Figure 1.8 – The canvas app editor

Custom pages are an extension of canvas apps within Power Apps. They allow solutions architects and makers to create highly customizable, responsive pages that can be embedded within model-driven apps. Custom pages leverage the power of canvas apps’ flexible design, providing a tailored user experience within a broader Dataverse-powered model-driven app. This gives developers the ability to merge the structured, data-first approach of model-driven apps with the rich, creative UI flexibility of canvas apps in the same application. This offers new levels of customization and user interaction while maintaining a seamless experience across Power Platform solutions.

All three Power Apps types utilize Dataverse as their underlying platform and data source. The administration of Dataverse databases’ usage will be discussed in detail in the following sections and chapters.

A note on canvas apps Dataverse usage

The usage of Dataverse is optional within canvas apps as these applications may be solely connected to alternative data sources, such as OneDrive or SharePoint, without the need for a Dataverse database.

The following diagram presents a high-level overview of the canvas apps architecture:

Figure 1.9 – Canvas apps – architectural overview

In the upcoming chapters, you’ll learn how to design cutting-edge business applications while leveraging the extensible and rapid development capabilities of the three Power Apps types.

Getting started

To create a canvas app, navigate to https://make.powerapps.com/, select Create, and follow the onscreen prompts. For detailed guidance, please refer to https://docs.microsoft.com/powerapps/maker/canvas-apps/.

Power Automate

Power Automate is another key component within the robust Power Platform architecture that offers a no-code/low-code solution for business process automation. There are two types of Power Automate flows. Let’s take a look.

Cloud flows

Cloud flows empower users to build advanced business logic tailored to meet precise organizational requirements through an intuitive graphical user interface. With an easy-to-use point-and-click editor, users can create integrations with other Power Platform applications and external systems. The following screenshot illustrates a simple Power Automate cloud flow being edited:

Figure 1.10 – The Power Automate cloud flow editor

A cloud flow comprises two key components: the trigger (the action that initiates the process) and one or more actions that are executed when the flow runs. Cloud flows can be triggered manually (for example, a user presses a button) or automatically (for example, a record is created). A wide range of cloud flow triggers is available, along with key Dataverse triggers:

Figure 1.11 – Cloud flow Dataverse triggers

The extensive array of available cloud flow actions provides solutions architects with a powerful toolset for automating business processes and enabling rapid integration with various Microsoft services and third-party APIs. A comprehensive list of Power Automate connectors is documented on the Microsoft documentation page titled Connector reference overview. The following screenshot displays a subset of the actions that are available when using the Dataverse connector:

Figure 1.12 – Cloud Flow Dataverse actions

The following diagram presents a high-level architectural view of this component:

Figure 1.13 – Cloud flows – architectural overview

Getting started

You can begin creating cloud flows by visiting https://flow.microsoft.com/, selecting Create, and following the onscreen prompts. For detailed guidance, please refer to https://docs.microsoft.com/powerapps/maker/canvas-apps/.

Desktop flows

Designed to automate rule-based tasks on a user’s workstation, desktop flows offer a wide range of conditions and actions that interact with UI elements, Excel files, web browsers, and other systems typically available on a user’s workstation. The following screenshot illustrates a simple desktop flow being edited:

Figure 1.14 – Desktop flow editor

Both cloud flows and desktop flows provide a rich toolset for business process automation. Throughout this book, you’ll learn how to create architectural blueprints that harness this powerful toolset to streamline and optimize business processes, driving greater efficiency and productivity.

Getting started

You need to download and install Power Automate Desktop (https://flow.microsoft.com/desktop) to start building desktop flows. You can explore various tutorials at https://docs.microsoft.com/power-automate/desktop-flows/.

Power BI

Power BI, the third Power Platform component discussed in this book, offers an analytics and reporting framework that connects to various data sources, allowing high-impact visuals to be presented. Through advanced data visualizations generated from multiple data sources, Power BI empowers organizations to gain valuable insights. The following diagram provides a high-level architectural view of this component:

Figure 1.15 – Power BI – architectural overview

Power BI reports are edited using either the Power BI desktop application or the web version of the report editor. The following screenshot shows a Power BI report that’s in the process of being edited:

Figure 1.16 – Power BI report editor

Throughout this book, you’ll work through various implementation scenarios to learn how to plan and design Power BI-based solutions, effectively addressing your organization’s most complex reporting requirements.

Getting started

You must download Power BI Desktop (https://powerbi.microsoft.com/desktop) to create reports. Visit https://docs.microsoft.com/power-bi/ for comprehensive guides.

Copilot Studio

Organizations reduce costs and provide their customers with a responsive user experience using Copilot agents. Users interact with the platform through various channels, including web chat and SMS messaging, while benefiting from advanced routing capabilities.

The following screenshot illustrates Copilot Studio’s chatbot test facility:

Figure 1.17 – Copilots in action

Copilot Studio agents can be embedded within websites and deployed to entities such as Facebook, Slack, Twilio, email, and mobile applications. The following diagram provides an overview of the Copilot Studio architecture:

Figure 1.18 – Copilot Studio – architectural overview

In this book, you’ll learn how to define customer interaction strategies that leverage the cost-saving and operational benefits of Copilot Studio.

Getting started

Access Copilot Studio via https://powervirtualagents.microsoft.com/. For guidance, please see https://learn.microsoft.com/microsoft-copilot-studio/.

Other key Power Platform components

The previous sections provided an overview of the four key Power Platform components. Additionally, Power Platform is strengthened by two vital building blocks that further enhance its capabilities. Let’s take a look.

Data connectors

Data connectors play a crucial role in facilitating seamless integrations between Power Platform components and external systems. Complex integration challenges can now easily be solved with just a few clicks. Power Platform offers a wide array of data connectors, enabling connections to various data sources, such as Dataverse, SQL databases, SharePoint files, and many others.

Further resources

For more information on the available Power Platform connectors and their capabilities, please refer to the official documentation: https://docs.microsoft.com/connectors/.

AI Builder

AI Builder stands as a pivotal tool in any Power Platform arsenal as it empowers users to create AI-powered automation processes without any coding knowledge. This no-code solution offers remarkable potential for organizations to leverage the power of artificial intelligence (AI) within their business processes.

AI Builder includes a diverse set of pre-built AI models that are designed to cater to various use cases, making it easy for users to implement advanced AI capabilities in their Power Automation and Power Apps solutions. Some of the available AI Builder models are as follows:

Form processing: Extracts information from structured forms such as invoices and receiptsObject detection: Identifies and classifies objects within imagesText recognition: Converts images and documents into an editable formPrediction: Predicts outcomes based on historical dataSentiment analysis: Analyzes text sentiment and emotionCategory classification: Automatically categorizes text into predefined categories

Getting started

You can explore AI Builder’s capabilities at https://make.powerapps.com/, under the AI Builder section. Please refer to https://docs.microsoft.com/ai-builder/ for step-by-step instructions.

In the upcoming chapters, you’ll explore practical use cases for these two building blocks and learn how to design architectural blueprints that maximize your organization’s investment in Power Platform and the broader Microsoft ecosystem.

Environments and tenants

Power Platform applications are organized within environments. These environments, in turn, are hosted within a Microsoft tenant. A Power Platform environment comprises several key components, including the following:

Name: A descriptive label for the environmentLocation: The geographical region where the data and configuration are stored within Azure data centersAdmins: The users that have been designated to administer and configure the environmentSecurity groups: Controls that define access permissions for specific data records and application featuresApps: Model-driven apps, portals, canvas apps, and other applications that exist within the environmentFlows: Power Automate components that implement business processes and integration routesBots: Copilot Studio chatbots that are configured to interact with usersConnectors: These identify the connections that have been configured for Power Platform and external systemsGateways: The components that enable integration with on-premise applicationsDataverse: An optional Power Platform component and data store instance that’s used by various Power Apps, such as model-driven apps

The following screenshot illustrates a typical set of development, test, and production Power Platform environments:

Figure 1.19 – Power Platform’s Environments list

In a typical Power Platform implementation, multiple environments may be created to support development and release cycles, including development, test, and production environments. These environments can either be hosted within the same tenant or distributed across a multi-tenant architecture. Throughout this book, you’ll learn how to strategically determine the best environment and tenant approach to achieve your organization’s specific goals.

Getting started

To access the Power Platform admin center, visit https://admin.powerplatform.microsoft.com/. For additional details on managing Power Platform environments, please refer to the official documentation: https://docs.microsoft.com/en-us/power-platform/admin/environments-overview.

Security

Security is of paramount importance when hosting data within a Power Platform environment. Data security is enforced through several layers:

Azure AD: A cloud-based Active Directory solution. Users are configured so that they can access specific resources, as well as be assigned security groups and authentication policies.Licenses: Assigning licenses to Azure AD users grants them access to specific Power Platform applications, providing an additional access security layer.Environments: Assigning security groups to Azure AD users allows them to access the applications within environments associated with those security groups, adding an additional layer of security for Power Platform applications and data sources.Data loss prevention policies: Data loss prevention policies define the types of connectors and inbound/outbound data privileges afforded to users of Power Platform applications.Security roles: These provide granular control over data tables and columns stored in Dataverse, controlling access to specific features within Power Platform applications.Encryption: Power Platform applications benefit from data being encrypted both in transit and at rest.

In the upcoming chapters, you’ll gain a deeper understanding of these various security features and considerations. You’ll learn how to define a comprehensive security concept document that meets your organization’s strict security requirements.

Power Platform application life cycle management

Application life cycle management (ALM) provides a framework for defining, implementing, deploying, and operating Power Platform projects. ALM involves capturing project requirements, breaking them into tasks, developing and testing solutions, deploying them across environments, and continuously monitoring and optimizing based on feedback:

Figure 1.20 – Power Platform ALM activities and key components

The ALM process is cyclical, with each stage playing a critical role in managing the project life cycle:

Planning and Tracking: Captures project requirements and tracks progressDevelopment: Focuses on building the solution, including apps, flows, and other componentsTesting: Ensures that solutions meet quality standards before deploymentDeployment: Moves the solution through different environments (for example, from development to production)Operations: Manages the day-to-day running of the solution in productionMonitoring and Reviewing: Continuously tracks performance and identifies areas for improvement

Traditionally, Azure DevOps was used to manage these activities, providing tools for source control, task management, CI/CD pipelines, and monitoring. However, additional tools such as Power Platform Pipelines and GitHub are now key alternatives:

Power Platform Pipelines: A low-code/no-code solution that simplifies deployment across environments, making ALM more accessible for users.GitHub: Offers version control and automation through GitHub Actions, integrating with Power Platform for seamless ALM management.Azure DevOps: Still widely used for more complex scenarios, this tool provides end-to-end ALM support, including task tracking, build automation, and deployments.

These tools, in combination with Power Platform components, help manage the full life cycle of applications, ensuring smooth transitions from development to production, and continuous improvements through monitoring.

In the upcoming chapters, we’ll explore practical implementations of Power Platform Pipelines, GitHub, and Azure DevOps, and how to effectively manage the ALM process from start to finish.

Getting started

For more details onPower Platform Pipelines, please visit https://learn.microsoft.com/power-platform/alm/.

Microsoft’s cloud-based ecosystem

Microsoft’s cloud-based ecosystem offers a broad range of business applications and resources that empower solutions architects with an extensive toolkit for developing and implementing powerful, scalable solutions. In this section, we’ll explore the key components of the Microsoft ecosystem, including Dynamics 365, Microsoft 365, Azure, and AppSource.

Dynamics 365

Dynamics 365 applications share the same foundation as Power Platform model-driven apps, utilizing Dataverse for data storage and business logic processing. The following are some key Dataverse-based Dynamics 365 applications:

Dynamics 365 Customer Service: Enhances customer service operations by managing cases, knowledge articles, entitlements, and service-level agreements (SLAs)Dynamics 365 Sales: Streamlines sales processes, manages customer interactions, tracks leads and opportunities, and drives revenue growthMicrosoft Dynamics 365 Customer Insights: A unified platform that combines data management (previously Customer Insights Data) and customer journey orchestration (previously Customer Insights – Journeys) to provide a comprehensive solution for understanding customers and delivering personalized, real-time experiences across all touchpoints.Dynamics 365 Field Service: Optimizes field service operations, improves scheduling, and delivers exceptional customer experiencesDynamics 365 Project Operations: Facilitates project-based organizations in managing resources, finances, and timelines across various projects

In addition to Dataverse-based applications, Dynamics 365 offers a wide range of other feature-rich applications, including the following:

Dynamics 365 Business Central: An all-in-one business management solution that helps manage finance, sales, purchasing, inventory, and operations for small to mid-sized businessesDynamics 365 Human Resources: Streamlines HR processes such as employee onboarding, benefits, and performance management while empowering employees with self-service toolsDynamics 365 Finance: Manages financial operations, accounting, budgeting, and real-time financial insights to optimize performance and support decision-makingDynamics 365 Supply Chain Management: Enhances visibility and control over manufacturing, warehousing, inventory, and logistics to optimize supply chain processesDynamics 365 Commerce: Delivers seamless, omnichannel shopping experiences across physical stores, online platforms, and mobile channelsDynamics 365 Customer Voice: Captures customer feedback through surveys, turning insights into actionable data to improve products, services, and customer relationships (utilizes Dataverse for configuration and operational data storage)

Further reading

For comprehensive product documentation on all Dynamics 365 applications, please visit https://docs.microsoft.com/dynamics365/.

Microsoft 365

Microsoft 365 is a suite of productivity tools that complement Power Platform solutions by enabling collaboration, communication, and document management. It provides deep integration with Power Platform and Dynamics 365, enhancing the overall digital workplace. The following are the key Microsoft 365 applications:

Exchange: A robust email and calendaring platform for efficient communication that supports integrations with Power Automate and Power Apps for workflow automationSharePoint: A collaboration and content management system that integrates with Power Apps for building apps on top of shared data, and with Power Automate for document-driven workflowsOffice applications: Core applications such as Word, Excel, Outlook, OneNote, Teams, OneDrive, and Microsoft Forms, all of which can be extended through Power Platform for automation, custom app development, and enhanced collaboration

Further reading

For documentation on the Microsoft 365 suite of applications and services, visit https://docs.microsoft.com/en-us/microsoft-365.

AppSource

AppSource is Microsoft’s marketplace for business applications, allowing organizations to find and deploy third-party apps and extensions that enhance Power Platform and Dynamics 365 solutions. These apps can fill functionality gaps, provide industry-specific solutions, and accelerate implementation by offering prebuilt connectors and components. Solutions architects can explore a wide variety of tools that integrate directly with Power Platform to customize their systems further.

Further reading

To explore the full range of AppSource business applications and extensions for Power Platform and Dynamics 365, visit https://appsource.microsoft.com/.

Azure

Microsoft Azure, a comprehensive cloud-based platform, extends the capabilities of Power Platform beyond its inherent boundaries. Solutions architects strategically analyze organizational requirements and integrate Azure components when Power Platform’s feature set falls short of project objectives. The following are the key Azure components that are used in typical Power Platform implementations:

Azure AI: Integrates