Feature flags, or feature toggles or feature switches, represent a fundamental shift in modern software development.
When development teams need to manage feature releases efficiently while minimizing risk, feature flags emerge as the cornerstone of modern deployment strategies.
Unlike traditional configuration files, feature flags evaluate conditions at runtime, offering unprecedented control over feature rollouts and system behavior.
At Full Scale, our engineering teams have witnessed how companies like Netflix and Facebook leverage feature switches to enable trunk-based development, deploying thousands of times per day while maintaining system stability.
This approach has revolutionized how organizations handle feature releases and manage technical risk in production environments.
The impact of feature flag implementation on development efficiency and system reliability is substantial.
Based on comprehensive industry research and our experience with enterprise clients, here are the key metrics that demonstrate the transformative power of feature flagging:
Key Statistics
- 76% of high-performing engineering teams use feature flags for gradual rollouts (2023 State of DevOps Report)
- 89% reduction in deployment-related incidents after implementing feature switches (LaunchDarkly Enterprise Impact Report, 2023)
- 3x faster mean time to recovery (MTTR) with feature toggles killswitches (DevOps Research and Assessment)
- 208% increase in deployment frequency for organizations using feature switches (Forrester Research: The Total Economic Impact™ Of Feature Management)
Understanding Feature Flags: Beyond the Basics
Feature switches serve as powerful software development tools that extend beyond simple on/off toggles. In modern software development practices, these flags enable teams to control and manage feature releases precisely, allowing for sophisticated deployment strategies and risk mitigation.
Different Types of Feature Toggles
1. Release Toggles
- Purpose: Control feature visibility in production
- Lifespan: Short-term (1-2 sprints)
- Use Cases: Gradual rollouts, dark launches
- Implementation: Simple boolean flags
2. Ops Toggles
- Purpose: System behavior control
- Lifespan: Long-term/Permanent
- Use Cases: Performance switches, emergency controls
- Implementation: Dynamic configuration with monitoring
3. Permission Toggles
- Purpose: Access management
- Lifespan: Long-term
- Use Cases: Premium features, beta programs
- Implementation: User/role-based evaluation
4. Experiment Toggles
- Purpose: A/B testing
- Lifespan: Medium-term (2-4 weeks)
- Use Cases: UX optimization, performance testing
- Implementation: Percentage-based distribution
Feature Flag Lifecycle Management
Feature switches require careful lifecycle management to prevent technical debt and maintain system clarity:
1. Creation Phase
- Clear naming conventions
- Purpose documentation
- Default state definition
- Impact assessment
2. Active Phase
- Usage monitoring
- Performance tracking
- State management
- Access control
3. Retirement Phase
- Usage deprecation
- Code cleanup
- Documentation updates
- Impact verification
Common Implementation Patterns
Here’s a foundational example of a feature flag service implementation that demonstrates best practices:
typescript
// Core feature flag service implementation
class FeatureFlagService {
private readonly cache: Map<string, boolean>;
private readonly config: FeatureFlagConfig;
constructor(config: FeatureFlagConfig) {
this.cache = new Map();
this.config = config;
}
// Evaluates feature flag with context
async isEnabled(
flagName: string,
context: RequestContext
): Promise<boolean> {
// Check cache first for performance
const cacheKey = this.getCacheKey(flagName, context);
if (this.cache.has(cacheKey)) {
return this.cache.get(cacheKey)!;
}
// Evaluate flag based on context
const enabled = await this.evaluateFlag(flagName, context);
// Cache result
this.cache.set(cacheKey, enabled);
return enabled;
}
}
This implementation demonstrates several key principles:
- Performance optimization through caching
- Context-aware evaluation
- Error handling (not shown for brevity)
- Clean separation of concerns
Anti-Patterns to Avoid
1. Hard-Coded Flag References
- Impact: Increased technical debt
- Solution: Use centralized configuration
2. Missing Documentation
- Impact: Maintenance difficulties
- Solution: Implement mandatory documentation
3. Poor Cleanup Strategies
- Impact: Code bloat
- Solution: Implement flag retirement processes
4. Inconsistent Naming
- Impact: Confusion and errors
- Solution: Enforce naming conventions
Technical Implementation Guide
Implementing feature switches at scale requires careful consideration of infrastructure, architecture, and development practices. This guide provides a comprehensive approach to building a robust feature flag system that can support enterprise-scale applications while maintaining performance and reliability.
Setting Up Your Feature Flag Infrastructure
Infrastructure Comparison
The choice between self-hosted and SaaS solutions forms the foundation of your feature toggles strategy. Each option presents distinct trade-offs that can significantly impact your development workflow, maintenance overhead, and total cost of ownership.
| Aspect | Self-Hosted | SaaS Solutions |
| Initial Cost | Higher development costs | Lower upfront investment |
| Maintenance | Internal team required | Handled by provider |
| Customization | Full control | Limited to provider features |
| Security | Complete data control | Depends on provider |
| Scalability | Manual scaling needed | Built-in scaling |
| Time to Market | Longer setup time | Quick implementation |
Feature Flag Service Selection Criteria
When evaluating feature flag services, consider these critical factors:
1. Performance Requirements
- Response time overhead
- Client-side vs. server-side evaluation
- Caching capabilities
2. Integration Capabilities
- SDK support for your tech stack
- API flexibility
- Authentication methods
3. Management Features
- UI for flag management
- Role-based access control
- Audit logging
Core Implementation Steps
The successful implementation of feature flags requires a systematic approach to data modeling, evaluation logic, and performance optimization. These core steps establish the foundation for a scalable and maintainable feature flag system.
1. Flag Data Model Design
Here’s a robust feature flag data model implementation:
typescript
// Feature flag core data model
interface FeatureFlag {
name: string; // Unique identifier
description: string; // Purpose and usage
enabled: boolean; // Default state
rules: Rule[]; // Evaluation rules
metadata: {
owner: string; // Team/individual responsible
createdAt: Date; // Creation timestamp
expiresAt?: Date; // Optional expiration
tags: string[]; // Classification tags
};
}
This model provides:
- Clear ownership and lifecycle tracking
- Flexible rule evaluation
- Metadata for maintenance
- Support for complex targeting
2. Flag Evaluation Logic
The evaluation engine determines flag states based on context:
typescript
// Feature flag evaluation engine
class FlagEvaluator {
evaluate(
flag: FeatureFlag,
context: RequestContext
): boolean {
// Sort rules by priority
const sortedRules = this.sortRulesByPriority(flag.rules);
// Find first matching rule
const matchingRule = sortedRules.find(rule =>
this.evaluateCondition(rule.condition, context)
);
// Return rule value or default state
return matchingRule?.value ?? flag.enabled;
}
}
Foundation Setup
A solid foundation for feature flag implementation requires standardized practices and conventions. This setup ensures consistency across teams and maintainability as your system grows.
Naming Conventions
Feature flag names should follow a hierarchical structure:
typescript
// Naming convention examples
const FLAG_PATTERNS = {
FEATURE: {
NEW: 'feature.{domain}.{name}.enabled',
BETA: 'feature.{domain}.{name}.beta',
EXPERIMENT: 'experiment.{domain}.{name}'
},
OPS: {
KILLSWITCH: 'ops.{service}.{function}.enabled',
THROTTLE: 'ops.{service}.{function}.throttle'
}
};
This convention ensures:
- Clear flag categorization
- Easy searchability
- Consistent naming across teams
- Clear ownership identification
Code Architecture
The architecture of your feature flag system significantly impacts its maintainability and scalability. This section explores key architectural patterns and their implementation in enterprise environments.
Edge vs. Core Toggle Placement
The placement of feature flags within your application architecture requires careful consideration of performance, maintainability, and system complexity. Here’s how to implement both approaches effectively:
typescript
// Edge Toggle Implementation (API Gateway Level)
class ApiGateway {
async handleRequest(request: Request): Promise<Response> {
const featureFlags = await this.loadFeatureFlags(request.context);
// Early decision at the edge
if (featureFlags.isEnabled('api.new-routing')) {
return this.newRoutingHandler.handle(request);
}
return this.legacyRoutingHandler.handle(request);
}
}
This edge-level implementation offers:
- Early feature decision-making
- Reduced system complexity
- Simplified rollback procedures
- Better performance optimization
Toggle Point Design Patterns
Implementing clean toggle points helps maintain code quality and reduces technical debt. Here’s a scalable approach using the Strategy pattern:
typescript
// Feature Toggle Strategy Pattern
interface PaymentProcessor {
process(payment: Payment): Promise<PaymentResult>;
}
class NewPaymentProcessor implements PaymentProcessor {
async process(payment: Payment): Promise<PaymentResult> {
// New payment processing logic
return this.processWithEnhancedSystem(payment);
}
}
// Factory for toggle-aware strategy creation
class PaymentProcessorFactory {
async createProcessor(context: RequestContext): Promise<PaymentProcessor> {
const useNewProcessor = await this.featureFlags.isEnabled(
'payment.new-processor',
context
);
return useNewProcessor
? new NewPaymentProcessor()
: new LegacyPaymentProcessor();
}
}
Flag Management Infrastructure
Feature flag management requires robust infrastructure for configuration, distribution, and runtime management. This section covers essential components for enterprise-scale management.
Toggle Router Implementation
The Toggle Router serves as the central mechanism for feature flag evaluation and distribution:
typescript
// Distributed Toggle Router
class ToggleRouter {
private readonly cache: FeatureFlagCache;
private readonly evaluator: FlagEvaluator;
async getFeatureState(
flagName: string,
context: RequestContext
): Promise<boolean> {
// Check for override
const override = await this.getOverride(flagName, context);
if (override !== undefined) {
return override;
}
// Get flag configuration
const flag = await this.cache.getFlag(flagName);
if (!flag) {
return this.getDefaultState(flagName);
}
// Evaluate flag rules
return this.evaluator.evaluate(flag, context);
}
}
Dynamic Runtime Reconfiguration
Enable real-time feature flag updates without service restarts:
typescript
// Dynamic Configuration Manager
class ConfigurationManager {
private readonly publisher: EventPublisher;
async updateConfiguration(
update: FlagUpdate
): Promise<void> {
// Validate update
this.validateUpdate(update);
// Store new configuration
await this.storeUpdate(update);
// Notify all instances
await this.publisher.publish('flag-updates', update);
}
}
Emergency Kill Switch Pattern
Implement robust emergency controls for critical features:
typescript
// Kill Switch Implementation
class KillSwitch {
async activateKillSwitch(
featureName: string,
reason: string
): Promise<void> {
// Log activation
await this.auditLogger.logKillSwitch(featureName, reason);
// Force disable feature
await this.configManager.forceDisable(featureName);
// Notify stakeholders
await this.notifier.notifyKillSwitch(featureName, reason);
}
}
This infrastructure provides:
- Centralized control
- Real-time updates
- Emergency management
- Audit capabilities
Testing Strategy
Implementing a comprehensive testing strategy is crucial for maintaining reliability in feature flag systems. This section covers essential testing approaches for enterprise environments.
Testing Toggle Combinations
Managing test scenarios becomes complex with multiple feature flags. Here’s how to implement systematic testing:
typescript
// Feature Flag Test Matrix Generator
class TestMatrixGenerator {
generateTestCases(flags: FeatureFlag[]): TestCase[] {
const combinations = this.generateCombinations(flags);
return combinations.map(combo => ({
description: this.generateDescription(combo),
setup: () => this.setupFlags(combo),
assertions: this.generateAssertions(combo)
}));
}
private generateCombinations(flags: FeatureFlag[]): FlagCombination[] {
// Use pairwise testing to reduce combinations
return this.generatePairwiseCombinations(flags);
}
}
Automated Validation
Implement continuous validation of feature flag behavior:
typescript
// Automated Feature Flag Validator
class FeatureFlagValidator {
async validateFlags(): Promise<ValidationReport> {
const flags = await this.flagService.getAllFlags();
return {
missingTests: this.findMissingTests(flags),
staleFlags: await this.identifyStaleFlags(flags),
inconsistencies: this.checkConsistency(flags),
recommendations: this.generateRecommendations(flags)
};
}
}
Operational Considerations
Managing feature flags in production requires careful attention to operational aspects. This section covers essential operational practices and monitoring strategies.
Managing Toggle Inventory
Implement systematic tracking and cleanup of feature flags:
typescript
// Feature Flag Inventory Manager
class InventoryManager {
async analyzeInventory(): Promise<InventoryReport> {
const flags = await this.flagService.getAllFlags();
return {
activeFlags: this.countActiveFlags(flags),
staleFlags: await this.identifyStaleFlags(flags),
technicalDebt: this.assessTechnicalDebt(flags),
cleanupPriorities: this.prioritizeCleanup(flags)
};
}
}
Monitoring and Observability
Implement comprehensive monitoring for feature flag behavior:
typescript
// Feature Flag Monitor
class FeatureFlagMonitor {
async monitorHealth(): Promise<HealthReport> {
return {
performance: await this.measurePerformance(),
reliability: await this.checkReliability(),
usage: await this.analyzeUsage(),
alerts: await this.getActiveAlerts()
};
}
private async measurePerformance(): Promise<PerformanceMetrics> {
return {
evaluationLatency: await this.getAverageLatency(),
cacheHitRate: await this.getCacheEfficiency(),
resourceUtilization: await this.getResourceUsage()
};
}
}
Audit Logging and Compliance
Maintain comprehensive audit trails for feature flag changes:
typescript
// Audit Logger Implementation
class FeatureFlagAuditor {
async logChange(change: FlagChange): Promise<void> {
await this.auditStore.store({
timestamp: new Date(),
flagName: change.flagName,
actor: change.actor,
action: change.action,
previousState: change.oldState,
newState: change.newState,
reason: change.justification
});
}
}
Best Practices for Enterprise Scale
Success with feature flags at the enterprise scale requires adherence to established best practices and patterns. This section outlines key considerations for large-scale implementations.
Access Control and Security
Implement robust access control for feature flag management:
typescript
// Role-Based Access Control
class FeatureFlagAccessControl {
async validateAccess(
user: User,
action: FlagAction,
flag: FeatureFlag
): Promise<boolean> {
const userRoles = await this.getRoles(user);
const requiredPermissions = this.getRequiredPermissions(action);
return this.checkPermissions(userRoles, requiredPermissions);
}
}
These implementations provide:
- Systematic testing approaches
- Comprehensive monitoring
- Secure access control
- Audit compliance
- Scalable management
Advanced Implementation Scenarios
Enterprise environments often require sophisticated feature flag implementations to handle complex business requirements. This section explores advanced patterns and their practical implementations.
Implementing A/B Testing
Feature flags can power sophisticated A/B testing systems. Here’s how to implement this capability:
typescript
// A/B Testing Implementation
class ExperimentManager {
async assignVariant(
userId: string,
experiment: Experiment
): Promise<VariantAssignment> {
// Consistent hashing for stable assignment
const bucket = this.getUserBucket(userId, experiment.name);
const variant = this.assignBucketToVariant(bucket, experiment.variants);
// Record assignment
await this.recordAssignment({
experimentId: experiment.id,
userId,
variant,
timestamp: new Date()
});
return {
variant,
flagStates: this.getVariantFlags(variant)
};
}
}
Gradual Rollouts
Implement controlled, gradual feature rollouts with sophisticated targeting:
typescript
// Gradual Rollout Manager
class RolloutManager {
async updateRolloutPercentage(
flagName: string,
percentage: number
): Promise<RolloutUpdate> {
// Validate parameters
this.validatePercentage(percentage);
// Calculate target groups
const targetGroups = await this.calculateTargetGroups(
flagName,
percentage
);
// Execute update with monitoring
return this.executeRollout(flagName, targetGroups);
}
}
DevOps Integration
Integrating feature flags into your DevOps pipeline requires careful consideration of automation, testing, and deployment practices.
CI/CD Pipeline Integration
Automate feature flag management within your deployment pipeline:
typescript
// Feature Flag CI/CD Manager
class FeatureFlagCICD {
async validateDeployment(
deployment: Deployment
): Promise<ValidationResult> {
// Extract flag configurations
const flagConfigs = this.extractFlagConfigs(deployment);
// Validate all configurations
const validationResults = await Promise.all(
flagConfigs.map(config => this.validateFlagConfig(config))
);
return {
isValid: validationResults.every(result => result.valid),
violations: this.collectViolations(validationResults)
};
}
}
Feature Flag Governance
Implement governance policies for feature flag management:
typescript
// Governance System
class GovernanceSystem {
async enforcePolicy(
request: FlagChangeRequest
): Promise<PolicyResult> {
// Check compliance
const complianceCheck = await this.checkCompliance(request);
// Validate approvals
const approvalCheck = await this.validateApprovals(request);
// Verify documentation
const documentationCheck = await this.checkDocumentation(request);
return {
approved: this.evaluateChecks([
complianceCheck,
approvalCheck,
documentationCheck
]),
requiredActions: this.getRequiredActions(request)
};
}
}
Monitoring and Alerting Setup
Implement comprehensive monitoring for feature flag behavior:
typescript
// Feature Flag Monitor
class MonitoringSystem {
async setupMonitoring(
flag: FeatureFlag
): Promise<MonitoringConfig> {
// Define alert rules
const rules = this.generateAlertRules(flag);
// Configure metrics collection
await this.configureMetrics(flag);
// Set up dashboards
const dashboard = await this.createDashboard(flag);
return {
rules,
metrics: await this.getMetricsConfig(flag),
dashboard: dashboard.url
};
}
}
These advanced implementations provide:
- Sophisticated experimentation capabilities
- Controlled rollout management
- Automated deployment integration
- Comprehensive governance
- Robust monitoring
Each component is designed to:
- Scale efficiently
- Maintain reliability
- Ensure compliance
- Support enterprise requirements
A Look at a Real-World Case Study
This case study examines how a large financial services company successfully implemented feature flags to modernize its deployment process while maintaining strict compliance requirements.
Technical Problem Statement
The organization faced several critical challenges:
- 300+ microservices architecture
- 2-week deployment cycles
- 8+ hours of deployment windows
- 15% rollback rate
- Strict financial industry compliance requirements
- Multiple user segments with different feature access needs
Implementation Approach
The team implemented a comprehensive feature flag solution:
typescript
// Enterprise Feature Manager Implementation
class EnterpriseFeatureManager {
async executeRollout(
feature: Feature
): Promise<RolloutResult> {
// Create phased rollout plan
const rolloutPlan = await this.createRolloutPlan(feature);
// Implement monitoring
await this.setupMonitoring(feature);
return {
phases: rolloutPlan.phases,
monitoring: await this.getMonitoringConfig(feature),
fallbackPlan: this.generateFallbackPlan(feature)
};
}
}
Results and Metrics
The implementation yielded significant improvements:
- Deployment frequency increased by 400%
- Rollback rate decreased to 3%
- Deployment window reduced to 45 minutes
- Feature adoption rate increased to 85%
- Customer satisfaction improved to 92%
Common Pitfalls and Solutions
Performance Impact Mitigation
Problem: Feature flag evaluation adding latency to requests.
Solution:
typescript
// High-Performance Flag Evaluator
class CachingFlagEvaluator {
private readonly cache: LRUCache<string, boolean>;
async evaluateFlag(
flagName: string,
context: RequestContext
): Promise<boolean> {
const cacheKey = this.generateKey(flagName, context);
// Check cache first
const cached = this.cache.get(cacheKey);
if (cached !== undefined) {
return cached;
}
// Evaluate and cache
const result = await this.performEvaluation(
flagName,
context
);
this.cache.set(cacheKey, result);
return result;
}
}
Technical Debt Management
Problem: Accumulation of stale feature flags.
Solution:
typescript
// Feature Flag Debt Manager
class FlagDebtManager {
async analyzeFlagDebt(): Promise<DebtAnalysis> {
const flags = await this.getAllFlags();
return {
staleFlags: this.identifyStaleFlags(flags),
cleanupPriority: this.prioritizeCleanup(flags),
estimatedEffort: this.estimateCleanupEffort(flags),
recommendations: this.generateRecommendations(flags)
};
}
}
Migration Strategies
Problem: Difficulty transitioning from legacy systems.
Solution:
typescript
// Feature Flag Migration Manager
class MigrationManager {
async executeMigration(
migration: FlagMigration
): Promise<MigrationResult> {
// Validate prerequisites
await this.validatePrerequisites(migration);
// Execute phased migration
const phases = await this.executeMigrationPhases(migration);
// Verify results
return this.verifyMigration(phases);
}
}
How to Measure Success
Key Metrics Tracking
Implement comprehensive metrics collection:
typescript
// Metrics Collector
class FeatureFlagMetrics {
async collectMetrics(): Promise<MetricsReport> {
return {
performance: await this.getPerformanceMetrics(),
adoption: await this.getAdoptionMetrics(),
rollout: await this.getRolloutMetrics(),
technical: await this.getTechnicalMetrics()
};
}
private async getPerformanceMetrics(): Promise<PerformanceMetrics> {
return {
evaluationLatency: await this.measureLatency(),
cacheEfficiency: await this.measureCacheHits(),
resourceUtilization: await this.measureResources()
};
}
}
These implementations provide:
- Proven enterprise solutions
- Performance optimization
- Technical debt management
- Clear success metrics
Transform Your Deployment Strategy: Implementing Enterprise-Scale Feature Flags
Feature flags have evolved from simple toggles to sophisticated deployment control systems that enable organizations to manage feature releases with unprecedented precision. Through our comprehensive examination of implementation patterns, architectural considerations, and enterprise-scale deployments, we’ve seen how feature flags can transform deployment practices while maintaining system stability and performance.
Enterprise Implementation Roadmap: Your Path to Feature Flag Success
Before initiating your feature flag implementation, use this comprehensive checklist to ensure all critical components are addressed across your technical stack and organization.
| Phase | Core Requirements | Implementation Details | Status |
| Strategic Architecture Planning | [ ] Feature Flag Data Model | [ ] Flag schema and metadata structure [ ] Rule evaluation patterns [ ] Caching strategies [ ] Performance optimization approaches | □ Complete □ In Progress □ Not Started |
| System Integration Framework | [ ] Core Implementation | [ ] Toggle router implementation [ ] Edge vs. core placement strategy [ ] Performance monitoring setup [ ] Error handling patterns | □ Complete □ In Progress □ Not Started |
| Quality Assurance Blueprint | [ ] Test Framework Setup | [ ] Unit test coverage for flag evaluation [ ] Integration test patterns [ ] Performance test scenarios [ ] Chaos testing strategy | □ Complete □ In Progress □ Not Started |
| Production Readiness Plan | [ ] Operational Procedures | [ ] Monitoring dashboards [ ] Alert thresholds [ ] Audit logging setup [ ] Emergency response plans | □ Complete □ In Progress □ Not Started |
Taking Action: Implementation Steps
Begin your feature flag implementation journey with these strategic steps, designed to ensure successful adoption across your enterprise architecture.
1. Technical Assessment
- Evaluate current architecture for flag integration points
- Assess performance requirements and constraints
- Review security and compliance needs
- Map existing deployment processes
2. Infrastructure Planning
- Select appropriate feature flag service based on technical requirements
- Design caching and distribution architecture
- Plan monitoring and observability implementation
- Define performance optimization strategy
3. Development Integration
- Implement core feature flag services
- Integrate with existing CI/CD pipelines
- Set up automated testing framework
- Deploy monitoring and alerting systems
4. Team Enablement
- Document technical specifications
- Create implementation guidelines
- Establish governance procedures
- Train development teams
Get Expert Implementation Support
Full Scale’s enterprise architects are ready to help you design and implement a robust feature flag system that scales with your organization.
Contact Full Scale today to learn how our expert development team can help you implement a robust feature flag system that meets your organization’s specific needs.
Schedule Your Free Consultation Today
FAQ: Feature Flag
Is feature flag a good practice?
Feature flags are considered a best practice in modern software development for several reasons:
1. Risk Reduction
- Gradual rollouts
- Quick rollback capability
- Controlled testing
- Production validation
2. Development Efficiency
- Continuous deployment
- Faster releases
- Better experimentation
- Reduced deployment risk
What are feature flags in DevOps?
In DevOps, feature flags serve as a crucial tool for:
1. Deployment Control
- Separate deployment from release
- Enable continuous deployment
- Facilitate canary releases
- Support blue-green deployments
2. Risk Management
- Progressive rollouts
- Quick feature toggles
- Emergency killswitches
- A/B testing capabilities
What is feature flag in flagger?
Flagger is a Kubernetes operator that uses feature flags for:
1. Progressive Delivery
- Automated canary releases
- Traffic management
- Metrics analysis
- Automated rollbacks
2. Deployment Strategies
- Canary deployments
- A/B testing
- Blue/Green deployments
- Traffic mirroring
What is a feature flag on iPhone?
In iOS development, feature flags are used to:
1. Feature Management
- Control feature availability
- Enable beta testing
- Manage regional releases
- Control app capabilities
2. Development Benefits
- Test new features
- Staged rollouts
- Beta program management
- Quick feature disablement
Matt Watson is a serial tech entrepreneur who has started four companies and had a nine-figure exit. He was the founder and CTO of VinSolutions, the #1 CRM software used in today’s automotive industry. He has over twenty years of experience working as a tech CTO and building cutting-edge SaaS solutions.
As the CEO of Full Scale, he has helped over 100 tech companies build their software services and development teams. Full Scale specializes in helping tech companies grow by augmenting their in-house teams with software development talent from the Philippines.
Matt hosts Startup Hustle, a top podcast about entrepreneurship with over 6 million downloads. He has a wealth of knowledge about startups and business from his personal experience and from interviewing hundreds of other entrepreneurs.
