Architecture Playbook

Overview

The Architecture Playbook is your comprehensive guide to successfully delivering architecture work across all engagement types. Whether you’re conducting discovery, leading a technical review, designing a new system, or assessing solutions, this playbook provides proven techniques, checklists, and templates.

Who Should Use This Playbook:

Enterprise architects
Solution architects
Technical leads
Development teams
Anyone involved in architecture decisions

What You’ll Find:

Step-by-step process guides
Proven techniques and best practices
Detailed checklists for quality assurance
Communication strategies
Real-world scenarios and solutions
Templates and examples

Part 1: Architecture Discovery & Requirements

Discovery Workshop Playbook

When to Use: Starting new architecture engagement or major redesign

Duration: 3-5 days (intensive) or 4-8 weeks (distributed)

Pre-Workshop Preparation

1 Week Before:

Preparation Tasks:

Schedule workshop dates with key stakeholders
Identify and invite 6-10 core participants
Send pre-work questionnaire (see below)
Gather existing documentation
Prepare workshop agenda
Arrange venue and technology

Pre-Work Questionnaire:

What is the primary business driver for this engagement?
What are the main pain points with current systems?
Who are the key stakeholders and decision makers?
What is your understanding of current architecture?
What constraints or limitations are we working with?
What would success look like?
What timeline are we working with?

2-3 Weeks Before:

Review existing documents and systems
Identify key questions to explore
Create preliminary context/scope
Plan workshop flow and exercises

Workshop Execution

Day 1: Context & Vision

Morning Session (2 hours):

Welcome and objectives (15 min)
Current state presentation (45 min)
Pain points discussion (30 min)
Q&A and clarification (15 min)

Afternoon Session (2 hours):

Future state vision (30 min)
Success metrics definition (45 min)
Constraints and risks (30 min)
Break (15 min)

Key Questions:

What are we trying to achieve?
Why does it matter to the business?
What would failure look like?
What must we preserve from current state?
What constraints are non-negotiable?

Day 2: Requirements Gathering

Morning Session (3 hours):

Functional requirements workshop (60 min)
Non-functional requirements (45 min)
Integration requirements (45 min)

Afternoon Session (2 hours):

Compliance and regulatory requirements (45 min)
Risk and dependencies (45 min)
Consolidation and prioritization (15 min)

Functional Requirements Technique:

Use-Case Mapping:

Use Case: User Places Order

Actors: Customer, Payment System, Inventory

Happy Path:
1. Customer selects items
2. System reserves inventory
3. Customer enters payment info
4. System processes payment
5. System confirms order
6. System sends confirmation email

Alternate Flows:
- Items out of stock → suggest alternatives
- Payment declined → retry or suggest payment method
- Timeout during checkout → recover session

Non-Functional:
- Must complete in <30 seconds
- Maintain 99.9% uptime during peak
- Support 1000 concurrent users

Non-Functional Requirements:

Category	Question	Example Answer
Performance	What latency is acceptable?	<100ms response time
Scalability	How much growth do we plan for?	10x growth in 2 years
Reliability	What uptime SLA is required?	99.99%
Security	What data sensitivity?	PCI DSS, GDPR compliance
Cost	What’s the budget?	<$X per month
Maintainability	Who maintains this?	Distributed team of 5

Day 3: Architecture Patterns & Approach

Morning Session (3 hours):

Technology landscape overview (45 min)
Architecture patterns exploration (90 min)
Proof of concept planning (45 min)

Afternoon Session:

Design deep dives (2-3 hours depending on complexity)
Decision confirmation
Next steps planning

Technology Evaluation Matrix:

Criteria               Weight  Option A  Option B  Option C  Decision
Performance            25%     9/10      7/10      8/10      ✓A
Scalability            20%     8/10      9/10      8/10
Team Skills            15%     6/10      7/10      8/10
Cost                   15%     7/10      5/10      9/10
Vendor Support         10%     8/10      8/10      6/10
Learning Curve         10%     5/10      6/10      8/10
Ecosystem              5%      9/10      7/10      6/10

Day 4-5: Design & Planning

Detailed architecture design sessions
Trade-off discussions
Risk assessment
Implementation roadmap
Deliverables planning

Post-Workshop Deliverables

Immediately After (1-2 days):

Workshop notes consolidated
Decisions documented
Action items assigned
Next meeting scheduled

Within 1 Week:

Initial architecture document draft
Architecture diagrams (context, containers, components)
Requirements traceability matrix
Risk and mitigation plan
Implementation roadmap
Stakeholder communication summary

Quality Checklist:

All requirements captured
Stakeholders validate requirements
Rationale documented for each decision
Trade-offs explicitly stated
Risks identified and assessed
Architecture aligns with strategy

Stakeholder Interview Playbook

When to Use: Understanding current state, gathering requirements, assessing readiness

Duration: 45-60 minutes per interview

Interview Preparation

Researcher Tasks:

Identify interview candidates (minimum 3-5 per functional area)
Research their role and background
Prepare role-specific questions
Send calendar invite with context
Confirm 1 day before

Interview Setup:

Quiet location (no interruptions)
Recording device if permitted
Note-taking materials
Calendar allows for follow-ups

Interview Execution

Opening (5 minutes):

"Thank you for your time. I'm working on [project] architecture.
I'd like to understand your perspective on current systems and
vision for the future. This conversation will help us make better
decisions. Is it okay if I take notes?"

Role-Specific Questions:

For Technical Leaders:

How would you describe the current architecture?
What works well about current systems?
What causes the most pain?
What architectural concerns keep you up at night?
How would you want to change the architecture if you could?
What technical decisions do you regret?
How do teams interact around architecture?
What would make your job easier?

For Business Leaders:

What are your primary business objectives?
How do current systems support/hinder those objectives?
What’s the biggest challenge you face?
How do you measure success?
What timeline are you working within?
What decisions have been made already?
What would change if we solved this problem?
What are your concerns about this initiative?

For Operations:

How is the current system deployed and maintained?
What operational challenges do you face?
How is reliability/performance monitored?
What’s the most frequent issue you deal with?
How would you want to deploy new architecture?
What skills do your team have?
What would make your life easier?
What concerns do you have about change?

Clarification Technique (Active Listening):

"So what I'm hearing is... [your understanding]
Is that correct? Did I miss anything?"

Probing Technique:

Instead of accepting surface answers:
Q: "How do you measure success?"
A: "Fast and reliable"

Follow up with:
Q: "What does 'fast' mean specifically? 
    What's fast enough?"
A: "<100ms response time"

Then:
Q: "How often do you miss that target today?"
A: "20% of the time during peak hours"

Closing (5 minutes):

"I've gotten a lot of good perspective. Is there anything 
else important I should know? And do you have time for 
a follow-up conversation if I have clarification questions?"

Post-Interview:

Transcribe notes within 24 hours
Identify themes and conflicts
Flag assumptions to verify
Send summary back to interviewee for validation
File for future reference

Interview Analysis

Consolidation Template:

Topic: System Performance

Person          Team         View
John Smith      Platform     "Too slow for peak load"
Sarah Jones     Product      "Acceptable for most users"
Mike Johnson    Operations   "Hard to diagnose issues"

Synthesis:
- Consensus: System slows under peak load
- Disagreement: Acceptable level of impact
- Concern: Lack of visibility into performance

Questions for Follow-up:
1. What specific metrics define "peak load"?
2. How often does peak load occur?
3. What's the business impact when slow?

Part 2: Architecture Design & Decision-Making

Solution Design Playbook

When to Use: Creating comprehensive architecture for new system or major redesign

Duration: 2-12 weeks depending on complexity

Phase 1: Design Kickoff

Activities:

Design Principles Template:

Principle: Optimize for Team Autonomy

Rationale:
- Reduces coordination overhead
- Accelerates feature delivery
- Enables independent scaling

Implications:
- Clear service boundaries
- Asynchronous communication preferred
- Standardized integration patterns
- Self-service operations

Trade-offs:
- Distributed data management complexity
- Eventual consistency
- Testing complexity

Phase 2: Option Generation

Brainstorm Techniques:

1. Start with Patterns:

Monolithic
Microservices
Event-driven
Hybrid approaches
Don’t eliminate too early

2. Technology Options Matrix:

Layer          Option A        Option B        Option C
Compute        EC2 + ASG       ECS Fargate      Lambda
Database       RDS PostgreSQL  DynamoDB         Aurora
Messaging      SQS/SNS         Kafka            RabbitMQ
Cache          Redis           ElastiCache      Memcached

3. Architecture Options (Example: E-commerce Replatform)

Option A: Lift & Shift Monolith

Minimal architecture change
Easier migration
Maintains current limitations
Lower risk but not addressing root issues

Option B: Modular Monolith

Break into logical modules
Still single deployment
Enables gradual microservices move
Moderate risk, clear incremental value

Option C: Full Microservices

Complete service decomposition
Maximum flexibility
Higher operational complexity
Higher risk but maximum benefits

Phase 3: Option Evaluation

Evaluation Criteria Framework:

Strategic Criteria:

Alignment with business strategy
Competitive advantage
Skills development
Vendor stability
Long-term flexibility

Technical Criteria:

Performance characteristics
Scalability potential
Operational complexity
Technology maturity
Integration capabilities

Financial Criteria:

Initial investment
Ongoing operational costs
Time to value
ROI timeline
Cost to change later

Team Criteria:

Required skills
Learning curve
Team size needed
Support availability
Community strength

Evaluation Template:

Criteria              Weight  Option A  Option B  Option C  Notes
Aligns with strategy   15%     9/10      8/10      7/10     A most strategic
Performance            20%     8/10      9/10      8/10     B slight edge
Scalability            15%     7/10      9/10      8/10     B best for growth
Team skills            10%     6/10      7/10      8/10     C leverages Go
Learning curve         10%     8/10      7/10      6/10     A fastest adoption
Cost initial           10%     8/10      5/10      7/10     B expensive upfront
Cost ongoing            8%     7/10      8/10      6/10     C cheapest to run
Risk level             12%     8/10      5/10      3/10     A lowest risk

Weighted Score:               7.75      7.35      7.05
Recommendation:                ✓ A (lowest risk, good performance)

Phase 4: Detailed Design

Architecture Document Structure:

1. Executive Summary
   - Problem, approach, benefits, risks

2. Current State Assessment
   - Systems, pain points, technical debt

3. Requirements
   - Functional, non-functional, constraints

4. Proposed Architecture
   - Overall approach
   - Component breakdown
   - Data flow
   - Integration points

5. Design Rationale
   - Why this architecture?
   - Alternatives considered
   - Trade-offs accepted

6. Key Design Decisions
   - List of major decisions with rationale

7. Data Design
   - Data model
   - Database selection
   - Data flow
   - Migration strategy

8. Security Design
   - Authentication/authorization
   - Data protection
   - Network security
   - Compliance approach

9. Operational Design
   - Deployment approach
   - Monitoring/observability
   - Backup/recovery
   - Change management

10. Risk Assessment
    - Identified risks
    - Probability/impact
    - Mitigation strategies

11. Implementation Roadmap
    - Phase 1, 2, 3...
    - Timeline and milestones
    - Dependencies
    - Resource needs

12. Success Metrics
    - How we measure success
    - Baseline metrics
    - Target metrics

Diagram Quality Checklist:

C4 Model diagram (Context → Container → Component → Code)
Clear title and legend
Component responsibilities clear
Integration points labeled
Technology choices visible
Data flow understandable
Network boundaries shown
External systems shown
Scaling approach clear

Part 3: Architecture Review Playbook

Conducting Effective Reviews

Review Objectives:

Ensure architectural fitness
Identify risks early
Share knowledge
Validate design decisions
Provide guidance

When to Request Review:

Before major architecture decisions
Before implementation starts
When stuck on design
For technology choices
Security-sensitive systems
Complex integrations

Pre-Review Preparation

Requestor Responsibilities (1 week before):

Prepare clear, concise architecture document
Include context and business drivers
List specific questions or concerns
Provide supporting materials (diagrams, requirements)
Be clear about decision timeline

Reviewer Preparation:

Read all materials
Identify initial concerns
Prepare clarifying questions
Schedule focused discussion time

Review Meeting Execution

Structure (60-90 minutes):

Introduction (5 min):

Business context
Key constraints
Specific questions for reviewers

Architecture Walkthrough (20-30 min):

System overview
Key components
Data flow
Integration approach
Design rationale

Q&A & Discussion (20-30 min):

Clarifying questions
Technical concerns
Trade-off discussion
Mitigation strategies

Feedback Summary (10-15 min):

Strengths of design
Areas of concern
Recommendations
Approval status

Post-Review Follow-Up:

Within 24 hours:

Send written feedback
Clarify recommendations vs requirements
Identify critical vs nice-to-have changes
Establish timeline for revisions

Architecture Review Checklist

Functional Requirements:

All functional requirements addressed
Integration points clear
Data requirements met
Workflow supports business processes

Non-Functional Requirements:

Performance targets achievable
Scalability approach justified
Reliability/uptime strategy sound
Latency requirements met

Technical Design:

Architecture appropriate for problem
Technology choices justified
Design patterns applied appropriately
Code organization/modularity clear
API contracts well-defined

Security:

Authentication/authorization designed
Data encryption strategy
Sensitive data handling
Network security approach
Compliance requirements addressed

Operations:

Risks:

Technical risks identified
Mitigation strategies defined
Failure modes considered
Contingency plans exist

Team Readiness:

Team has required skills
Training plan if needed
Support strategy clear
Knowledge sharing plan

Part 4: Common Architecture Scenarios

Scenario 1: Legacy System Modernization

Situation:

10+ year old monolithic system
Technical debt causing slowdowns
Team struggling with maintainability
Business needs faster feature delivery

Diagnosis:

Assess technical debt
Identify performance bottlenecks
Evaluate team capability
Understand business urgency

Approach Selection:

Option A: Strangler Facade Pattern (Recommended for Most Cases)

Timeline: 18-24 months
Risk: Medium
Effort: High

Phases:
1. New modern service (core capability)
2. Route new requests through facade
3. Migrate existing features gradually
4. Eventually remove legacy system

Benefits:

Enables continuous value delivery
Spreads risk across timeline
Team learns new technology gradually
Legacy system remains stable
Can adjust approach based on learnings

Challenges:

Maintaining two systems temporarily
Data synchronization complexity
Extended timeline
Requires discipline and planning

Implementation Steps:

Identify core capability to extract first (high-value, isolated)
Build modern service for that capability
Implement facade/proxy layer
Route new requests to new service
Build migration tools for existing data
Gradually shift features to new service
Maintain parity for critical features
Decommission legacy components

Key Decisions:

Which capabilities to extract first?
How to handle data migration?
How to maintain API compatibility?
When to decommission legacy system?

Risk Mitigation:

Comprehensive monitoring on facade
Gradual traffic shift with kill switches
Rollback plans for each phase
Shadow traffic testing
Staged rollout

Scenario 2: Cloud Migration

Situation:

On-premises systems nearing end of life
Business wants cloud agility/scalability
Multiple applications and complexity
Team not cloud-experienced

Phases:

Phase 1: Assessment (2-4 weeks)

Phase 2: Pilot (1-3 months)

Select 1-2 non-critical applications
Establish cloud landing zone
Test migration approach
Learn cloud practices
Refine tools and processes

Phase 3: Scale (3-12 months)

Migrate remaining applications
Optimize cloud usage
Build cloud-native capabilities
Phase out on-premises infrastructure

Migration Strategies:

1. Lift & Shift (Fastest, Least Change)

Minimal modification to applications
Quickest migration
Doesn’t leverage cloud capabilities
High ongoing costs
Good for temporary cloud, bridges
Typical timeline: 6 weeks per application

2. Replatform (Balanced Approach)

Some application changes
Leverage cloud services (managed databases, etc.)
Faster time to value
Moderate effort
Good for most applications
Typical timeline: 8-12 weeks per application

3. Refactor/Re-architect (Maximum Benefits)

Redesign for cloud-native
Microservices, serverless, event-driven
Maximum cost optimization
Highest effort and risk
Longest timeline
Best for strategic applications
Typical timeline: 12+ weeks per application

Cloud-Native Best Practices:

✅ Use managed services (don't manage databases, caching, etc.)
✅ Build for elasticity (horizontal scaling)
✅ Design for resilience (multi-AZ, fault tolerance)
✅ Implement proper observability (logs, metrics, traces)
✅ Automate operations (CI/CD, infrastructure as code)
✅ Optimize costs (right-sizing, reserved instances)
✅ Security by design (least privilege, encryption)
✅ Treat infrastructure as code

Scenario 3: Microservices Transformation

Situation:

Monolithic system limiting team velocity
Different components have different scaling needs
Teams want independence
Complexity of monolith growing

Key Design Decisions:

Service Decomposition:

By business capability (recommended)
By subdomain (DDD)
By scaling needs
Avoid: by technology, by team

Example Service Boundaries (E-commerce):

- Product Service (catalog, search)
- Order Service (order management)
- Inventory Service (stock management)
- Payment Service (payment processing)
- Shipping Service (fulfillment)
- Customer Service (profiles, preferences)
- Notification Service (emails, messages)

Communication Strategy:

Synchronous: REST/gRPC for immediate response
Asynchronous: Events/queues for eventual consistency
Hybrid: Most systems use both

Data Management:

Each service owns its data (no shared databases)
Data synchronization via events
Eventual consistency model
Distributed transactions challenge

Deployment & Operations:

Independent deployment per service
Container-based (Docker/Kubernetes)
Service discovery (built-in with K8s)
API gateway for external access
Load balancing per service

Operational Complexity:

Challenges you’ll face:

Distributed debugging
Network latency
Partial failure handling
Data consistency
Operational overhead (many services to manage)
Observability requirement (logging, tracing, metrics)

Solutions:

Comprehensive monitoring/observability
Good logging and tracing (OpenTelemetry)
Circuit breakers and resilience patterns
API gateway for consistency
Service mesh (Istio, Linkerd) for advanced scenarios
CI/CD automation

Readiness Assessment:

Ask yourself:

Do we need this complexity?
Does our team understand distributed systems?
Do we have proper observability?
Can we automate CI/CD well?
Do we understand eventual consistency?
Can we handle network failures?

If not ready: Consider modular monolith first

Scenario 4: Security Architecture Integration

When to Apply: Every significant system design

Security Design Activities:

1. Threat Modeling

Identify assets (what we’re protecting)
Identify threats (what could go wrong)
Assess impact (damage if compromised)
Develop mitigations (how to protect)

STRIDE Model (Common Approach):

S - Spoofing (fake identity)
T - Tampering (modify data)
R - Repudiation (deny actions)
I - Information Disclosure (expose data)
D - Denial of Service (unavailable)
E - Elevation of Privilege (unauthorized access)

2. Authentication & Authorization

Authentication:

Verify user identity
Methods: passwords, MFA, SSO, OAuth, certificates

Authorization:

Grant appropriate access
Methods: RBAC (role-based), ABAC (attribute-based)
Principle of least privilege

3. Data Protection

Encryption in transit (TLS/SSL)
Encryption at rest (AES-256)
Sensitive data handling (PII, payment data)
Compliance requirements (GDPR, PCI-DSS, HIPAA)

4. Network Security

Network segmentation
Firewalls and access control
VPCs and security groups
DDoS protection

5. Operational Security

Patch management
Vulnerability scanning
Incident response plan
Security monitoring

Part 5: Communication & Presentation

Presenting Architecture to Different Audiences

Executive Leadership

Focus: Business value, risk, timeline, investment

Template:

1. Business Problem (2 min)
   "This initiative addresses..."

2. Proposed Solution (2 min)
   "We recommend..."
   
3. Key Benefits (1 min)
   - Faster feature delivery
   - Cost savings of X%
   - Reduced technical risk

4. Timeline & Investment (1 min)
   - Timeline: X months
   - Investment: $X
   - ROI: Y months

5. Risks & Mitigation (1 min)
   - Key risks and how we'll manage
   - Contingency plan

6. Next Steps (30 sec)
   "We'll start with..."

Do:

Use business language
Quantify benefits
Address their concerns (cost, timeline, risk)
Show ROI
Be concise (5-7 minutes max)

Don’t:

Get too technical
Use architecture jargon
Show code or infrastructure details
Discuss tool selections

Engineering Teams

Focus: Technical soundness, patterns, implementation approach

Template:

1. Current State & Limitations
   "Today we have X constraints..."

2. Proposed Architecture
   - Components and responsibilities
   - Integration patterns
   - Technology choices
   - Diagrams (C4 model)

3. Design Rationale
   - Why we chose this approach
   - Trade-offs we made
   - Alternatives considered

4. Implementation Approach
   - Phasing
   - Timeline
   - Team structure
   - Skills needed

5. Risks & Mitigation
   - Technical risks
   - Operational risks
   - Mitigation strategies

6. Q&A

Do:

Show detailed diagrams
Discuss patterns and principles
Be thorough on trade-offs
Invite feedback
Discuss implementation

Don’t:

Over-simplify technical issues
Avoid difficult conversations
Make unsubstantiated claims
Ignore concerns

Operations/Support Teams

Focus: Operational impact, monitoring, support burden

Template:

1. What's Changing
   "This new architecture will..."

2. Operational Impact
   - Deployment changes
   - Monitoring changes
   - Incident response changes
   - Skills needed

3. Benefits for Operations
   - Easier to scale
   - Better visibility
   - Clearer troubleshooting
   - Self-healing capabilities

4. Training & Support
   - Training plan
   - Documentation
   - Support model
   - Escalation path

5. Transition Plan
   - Parallel running period
   - Cutover approach
   - Rollback plan

6. Q&A

Do:

Emphasize stability and reliability
Explain monitoring/observability improvements
Show support model clearly
Discuss training plan
Address concerns about change

Don’t:

Dismiss operational concerns
Underestimate learning curve
Over-promise on simplicity
Forget about 24/7 operations

Part 6: Deliverables Checklists

Solution Architecture Document

Quality Checklist:

Executive Summary

Architecture Overview

High-level architecture diagram (C4 Context)
Component responsibilities clear
Integration points labeled
Technology choices visible
Data flow understandable

Detailed Design

Requirements Traceability

All requirements addressed
Traceability matrix (requirement → design)
Out-of-scope items clearly marked
Constraints documented

Design Decisions & Rationale

Risk Assessment

Risks identified
Probability and impact assessed
Mitigation strategies
Contingency plans

Implementation Plan

Appendices

Architecture Review Report

What to Include:

Executive Summary

Detailed Findings

Strengths of design
Areas of concern
Questions for clarification
Recommendations (critical vs advisory)

Assessment Areas

Recommendations

What must change (blockers)
What should change (improvements)
What’s optional (nice-to-haves)
Timeline for revisions

Part 7: Tools & Templates

Recommended Tools:

Diagramming: Lucidchart, Miro, Draw.io, PlantUML
Documentation: Confluence, Notion, Markdown + Git
Collaboration: Miro, Mural (whiteboarding)
Decision Tracking: ADR format, Wiki
Monitoring: DataDog, New Relic, Prometheus + Grafana

Templates Provided:

Design Principles Template
Evaluation Matrix
Architecture Document Template
ADR Template
Risk Register Template
Stakeholder Interview Guide

Engagement Model - How architects work with teams
Architecture Review Board - Governance of designs
Decision Framework - Making architectural decisions
ADR Framework - Documenting decisions
Solution Architecture Template - Document template

Best Practices Summary

✅ Start with discovery before designing Understand the problem before proposing solutions.

✅ Involve stakeholders throughout Early and continuous engagement prevents surprises.

✅ Document decisions and rationale Future teams need to understand the “why”.

✅ Make risks explicit Identify issues early when you can do something about them.

✅ Iterate with feedback Architecture design is a conversation, not a monologue.

✅ Use proven patterns Leverage community knowledge, don’t reinvent.

✅ Test your assumptions POCs and prototypes reveal issues early.

✅ Communicate clearly Tailor message to audience.

✅ Plan for operations from day 1 Architecture must be operationally sound.

✅ Review before implementation Early feedback saves expensive rework.

❌ Don’t skip discovery You’ll design for the wrong problem.

❌ Don’t ignore stakeholders You’ll miss important requirements.

❌ Don’t document decisions only after the fact The context is lost, reasoning unclear.

❌ Don’t dismiss risks They tend to materialize at inconvenient times.

❌ Don’t make decisions in isolation Architecture affects the whole organization.

Last Updated: November 2025 Maintained By: Enterprise Architecture Team Version: 1.0 Contributors: [Architecture Leadership Team]

Solution Architecture Practice

Comprehensive guide to software architecture frameworks, patterns, and best practices

Architecture Playbook

Overview

Part 1: Architecture Discovery & Requirements

Discovery Workshop Playbook

Pre-Workshop Preparation

Workshop Execution

Post-Workshop Deliverables

Stakeholder Interview Playbook

Interview Preparation

Interview Execution

Interview Analysis

Part 2: Architecture Design & Decision-Making

Solution Design Playbook

Phase 1: Design Kickoff

Phase 2: Option Generation

Phase 3: Option Evaluation

Phase 4: Detailed Design

Part 3: Architecture Review Playbook

Conducting Effective Reviews

Pre-Review Preparation

Review Meeting Execution

Architecture Review Checklist

Part 4: Common Architecture Scenarios

Scenario 1: Legacy System Modernization

Scenario 2: Cloud Migration

Scenario 3: Microservices Transformation

Scenario 4: Security Architecture Integration

Part 5: Communication & Presentation

Presenting Architecture to Different Audiences

Part 6: Deliverables Checklists

Solution Architecture Document

Architecture Review Report

Part 7: Tools & Templates

Best Practices Summary

Architecture Playbook

Overview

Part 1: Architecture Discovery & Requirements

Discovery Workshop Playbook

Pre-Workshop Preparation

Workshop Execution

Post-Workshop Deliverables

Stakeholder Interview Playbook

Interview Preparation

Interview Execution

Interview Analysis

Part 2: Architecture Design & Decision-Making

Solution Design Playbook

Phase 1: Design Kickoff

Phase 2: Option Generation

Phase 3: Option Evaluation

Phase 4: Detailed Design

Part 3: Architecture Review Playbook

Conducting Effective Reviews

Pre-Review Preparation

Review Meeting Execution

Architecture Review Checklist

Part 4: Common Architecture Scenarios

Scenario 1: Legacy System Modernization

Scenario 2: Cloud Migration

Scenario 3: Microservices Transformation

Scenario 4: Security Architecture Integration

Part 5: Communication & Presentation

Presenting Architecture to Different Audiences

Part 6: Deliverables Checklists

Solution Architecture Document

Architecture Review Report

Part 7: Tools & Templates

Related Processes & Frameworks

Best Practices Summary