Apply Infrastructure as Code (IaC) for Consistency & Automation
Automate Testing & Deployment for Safe Iteration
Build for Scalability & Performance by Default
Continuously Evolve & Document Architectural Decisions
Design for Resilience & Fault Tolerance
Design Modular & Loosely Coupled Systems
Enable Event-Driven & Asynchronous Communication
Ensure Security, Compliance & Data Privacy from the Start
Prioritise API-First & Interoperability
Promote Cloud-Native & Platform-Agnostic Thinking
Automating Releases through Continuous Delivery (CD) Pipelines
Building Self-Healing and Auto-Remediating Production Systems
Cultivating a Culture of Automation and Collaborative Knowledge
Embedding Automated Observability & Monitoring from Inception
Embedding Security and Compliance through Automated CI/CD Checks
Enforce Continuous Integration (CI) for Every Code Change
Enforcing Code Integrity through Automated Testing Pipelines
Infrastructure as Code (IaC) as the Immutable Foundation
Keep Dependencies & Tooling Automatically Up to Date
Treat Manual Work as Temporary
Automate Data Collection & Reporting
Define & Track Key Engineering & Operational Metrics
Embed Telemetry & Observability in Every System
Establish Continuous Feedback Loops
Implement Real-Time Anomaly Detection & Alerts
Make Data-Driven Decision-Making a Core Engineering Habit
Prioritise Data-Driven Experimentation & A/B Testing
Set Data Governance & Access Controls
Standardise Data Formats & API Contracts
Use Predictive Analytics for Capacity & Performance Planning
Automate Everything That Can Be Automated
Build in Observability & Feedback Loops from Day One
Deliver Quality as a Non-Negotiable Standard
Embed Security as a Core Engineering Principle
Enforce Rigorous Code & Design Reviews
Ensure Fast, Reliable, and Safe Delivery Through CI/CD
Measure & Improve Engineering Outcomes
Prioritise Simplicity, Scalability, and Maintainability
Proactively Manage & Address Technical Debt
Promote Continuous Learning & Engineering Mastery
Automate Post-Incident Data Collection
Capture and Classify All Incidents in a Central Repository
Conduct Blameless Post-Mortems for Every Major Incident
Continuously Track & Report Key Incident Metrics
Encourage Cross-Team Learning & Knowledge Sharing
Ensure Every Post-Mortem Results in Concrete Actions
Establish Psychological Safety in Incident Reviews
Invest in Proactive Incident Readiness
Iterate & Improve Post-Incident Learning Processes
Make Incident Retrospectives Part of Engineering Culture
Automate Repetitive Tasks to Reduce Toil
Build for Long-Term Technical Sustainability
Create a Culture of Continuous Improvement & Adaptability
Empower Teams to Push Back on Unsustainable Demands
Encourage Flexible Work & Well-Being Support
Maintain a Predictable & Sustainable Delivery Cadence
Measure & Improve the Balance Between Speed & Sustainability
Monitor & Address Burnout Risk Proactively
Protect Focus Time & Minimise Disruptions
Set Realistic Workloads & Limit Work in Progress (WIP)
Continuously Measure & Improve Developer Experience
Enable Self-Service Infrastructure & Observability
Ensure Frictionless Code Review & Collaboration Processes
Invest in Learning & Growth for Engineers
Minimise Cognitive Load with Clear Documentation & Best Practices
Optimise CI/CD Pipelines for Speed & Reliability
Provide Fast, Reliable, and Reproducible Development Environments
Standardise Development Tooling & Frameworks
Support Flexible & Asynchronous Workflows
Balance Speed with Sustainable Software Craftsmanship
Encourage Ownership & Pride in Engineering Work
Encourage Test-Driven Development (TDD) & Robust Testing Practices
Establish Clear Engineering Career Progression Paths
Foster a Culture of Curiosity & Innovation
Invest in Strong Engineering Mentorship & Peer Learning
Measure & Continuously Improve Engineering Craftsmanship
Prioritise Continuous Learning & Skill Development
Promote Open Source Contributions & Engineering Thought Leadership
Set High Standards for Code Quality & Maintainability
Continuously Measure & Improve Inclusion Efforts
Embed Inclusive Practices in Engineering Collaboration
Encourage Representation & Visibility of Diverse Voices
Ensure Equitable Hiring & Career Growth Opportunities
Establish Clear Anti-Discrimination & Harassment Policies
Foster Psychological Safety & Open Communication
Provide Accessibility & Support for All Engineers
Provide Bias Awareness & Inclusion Training
Recognise & Reward Contributions Beyond Technical Work
Support Work-Life Balance & Flexible Work Arrangements
Conduct Regular Psychological Safety Surveys & Feedback Loops
Encourage Open & Constructive Communication
Foster a Blameless Culture for Mistakes & Failures
Lead by Example—Psychological Safety Starts at the Top
Normalise Asking for Help & Admitting Uncertainty
Protect Engineers from Unrealistic Expectations & Burnout
Provide Psychological Safety Training for Leaders & Teams
Recognise & Reward Contributions Beyond Code
Set Boundaries Against Toxic & Harmful Behaviours
Support Inclusive Decision-Making & Team Participation
Allow Controlled Experimentation with Guardrails in Place
Automate Security & Compliance Enforcement in CI/CD
Continuously Improve Guardrails Based on Feedback & Data
Empower Teams with Training & Security Awareness
Enable Self-Service Infrastructure & Deployment
Implement Continuous Monitoring & Real-Time Alerts
Provide Developer-Friendly Security & Governance Controls
Standardise Security & Compliance Through Golden Paths
Track Key Metrics for Guardrail Effectiveness
Use Policy as Code to Define & Enforce Guardrails
Automate Infrastructure Deployment with CI/CD Pipelines
Continuously Monitor & Detect Infrastructure Drift
Enforce Least Privilege & Role-Based Access Control (RBAC)
Enforce Policy as Code for Security & Compliance
Ensure Idempotency & Safe Rollbacks
Implement Immutable Infrastructure Practices
Regularly Audit & Improve Infrastructure Security & Performance
Secure Secrets & Credentials in Infrastructure Code
Standardise & Reuse Infrastructure Components
Use Declarative & Version-Controlled Infrastructure Management
Build Observability into Every System Component
Conduct Chaos Engineering & Failure Injection Testing
Design for Failure with Graceful Degradation
Implement Automated Recovery & Self-Healing Mechanisms
Implement Blameless Post-Mortems & Continuous Learning
Minimise Dependencies & Reduce System Complexity
Prioritise Recovery Time Over Uptime Guarantees
Proactively Address Tech Debt & Legacy Risks
Regularly Test Disaster Recovery & Incident Response Plans
Use Multi-Region & Multi-Zone Redundancy
Adopt Encryption for Data at Rest & In Transit
Apply Continuous Threat Modelling & Risk Assessments
Automate Security Testing in CI/CD Pipelines
Design for Security Incident Detection & Response
Establish a Security-First Engineering Culture
Implement Secure Coding Practices
Implement Security from the Start ("Shift Left" Security)
Secure APIs & External Integrations
Secure Software Dependencies & Supply Chain
Adopt the Principle of Least Privilege (PoLP)
Automate Security Responses & Incident Remediation
Continuously Test & Improve Zero Trust Policies
Encrypt Data at Rest, in Transit, and in Use
Enforce Identity & Access Management (IAM) for Every User & System
Implement Continuous Verification for All Requests
Implement Strong Device & Endpoint Security
Monitor & Audit All Activity in Real Time
Require Explicit Trust for Third-Party Integrations
Secure & Monitor Network Traffic with Micro-Segmentation
Align Decision-Making with Organisational Goals
Continuously Review & Improve Decision-Making Processes
Enable Decision-Making at the Right Level
Encourage Cross-Team Transparency & Communication
Establish Clear Decision-Making Boundaries & Autonomy Levels
Promote a Data-Driven Approach to Decision-Making
Provide Guardrails, Not Gates, for Decision-Making
Provide Teams with the Right Skills & Training
Support a Blameless Culture for Decision-Making
Use Lightweight Alignment Mechanisms
Automate Infrastructure Provisioning & Management
Continuously Improve Self-Service Capabilities Based on Feedback & Metrics
Enable Safe, Fast Deployments Through CI/CD Pipelines
Ensure Teams Can Manage & Scale Their Own Services
Implement Role-Based Access & Identity Management for Self-Service
Promote an Internal Open-Source Model for Shared Knowledge & Reusability
Provide Observability & Real-Time Insights as a Self-Service Capability
Provide Self-Service Developer Platforms & Tooling
Reduce Reliance on Centralised Ops & Support Teams
Shift Security & Compliance Left with Automated Guardrails
Automate Performance & Security Feedback
Capture & Act on Customer & User Feedback Continuously
Embed Automated Testing at Every Level
Establish Blameless Post-Mortems & Incident Reviews
Implement Continuous Integration & Deployment (CI/CD)
Implement Fast Feedback Loops in Agile & Lean Workflows
Leverage Feature Flags & A/B Testing
Measure & Improve Feedback Loop Efficiency
Provide Real-Time Observability & Monitoring
Shorten Feedback Cycles in the Development Process
Align WIP Limits with Business Priorities
Create a Culture of WIP Awareness & Continuous Improvement
Empower Teams to Enforce WIP Limits & Say No to Excess Work
Encourage Fast Feedback & Small Batch Delivery
Implement WIP Limits at the Right Level
Measure & Track Flow Efficiency Metrics
Prioritise Finishing Work Over Starting New Work
Reduce Multi-Tasking & Context Switching
Set Clear WIP Limits for Teams & Workflows
Visualise Work to Identify Bottlenecks
Align Workflows & Reduce Cross-Team Coordination Bottlenecks
Automate Testing & Validation to Remove Manual Approval Handoffs
Continuously Measure & Improve Handoff Efficiency
Design Systems & Teams for Loosely Coupled Architectures
Empower Teams with Full-stack Capabilities & Knowledge Sharing
Enable Self-Service Infrastructure & Deployment Pipelines
Establish Cross-Functional, End-to-End Ownership of Work
Implement “You Build It, You Run It” for End-to-End Responsibility
Streamline Communication & Reduce Synchronous Dependencies
Build for Reliability & Performance to Support Customer Trust
Design Inclusive & Accessible Digital Products
Embed Customer Feedback in the Engineering Process
Engineer for Customer Outcomes, Not Just Features
Ensure Customer-Centric Security & Privacy by Design
Leverage Data & Observability to Understand Customer Behaviour
Measure & Continuously Improve Customer Experience
Minimise Customer Effort in Product & Service Interactions
Personalise Experiences Based on Customer Needs
Reduce Time to Resolution for Customer Issues
Address Technical Debt Before It Becomes a Liability
Automate Repetitive and Manual Engineering Tasks
Continuously Measure & Improve Efficiency
Eliminate Unused or Underperforming Features & Services
Minimise Handoffs & Dependencies Between Teams
Prioritise High-Impact Work Over Low-Value Tasks
Reduce Cycle Time by Optimising Development & Deployment Pipelines
Reduce Work in Progress (WIP) to Improve Flow Efficiency
Standardise Engineering Practices to Reduce Duplication
Streamline Decision-Making & Governance to Avoid Delays
Adopt a Cloud-First, API-First, and Composable Architecture Approach
Align Engineering Investments with Business Growth & Scalability
Balance Short-Term Gains with Long-Term Sustainability
Build & Retain Differentiated Engineering Talent
Continuously Improve & Adapt Investments Based on Outcomes
Drive Innovation Through Targeted Research & Experimentation
Enable Faster, More Autonomous Delivery Through Platform Engineering
Focus on High-Impact Capabilities Over Broad Tech Proliferation
Measure ROI for Every Major Engineering Investment
Prioritise Engineering Investments That Create Competitive Advantage
Align Engineering Metrics with Business & Customer Value
Continuously Refine Measurement Frameworks Based on Insights
Define Clear Success Metrics for Every Engineering Initiative
Establish Governance for Value Validation & Reporting
Implement Real-Time Observability & Feedback Mechanisms
Integrate Value Measurement into the Development Lifecycle
Measure Adoption & Usage to Assess Feature Effectiveness
Track Lead Time to Value (LTV) for Engineering Deliverables
Use Data-Driven Decision-Making for Engineering Prioritisation
Use Retrospectives & Post-Mortems to Assess Value Delivered
Adopt Incremental Delivery for Faster Feedback & Validation
Eliminate Waste by Measuring Value Per Engineering Effort
Embed Continuous Customer Feedback Loops
Embed Outcome-Based Metrics into CI/CD Pipelines
Ensure Every Engineering Investment Demonstrates ROI
Measure Engineering Success Based on Impact, Not Output
Prioritise Roadmap Items by Business & Customer Impact
Tie Engineering Work to Measurable Business & Customer Outcomes
Validate Business & Customer Impact Before Scaling Solutions
Validate Features Through Experimentation & Data-Driven Insights