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Cloudflare Engineering

To build the systems that make the Internet more secure, faster, and reliable while empowering developers to create without constraints

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To build the systems that make the Internet more secure, faster, and reliable while empowering developers to create without constraints

Strengths

  • NETWORK: Global distributed network with 300+ cities in 120+ countries
  • PLATFORM: Unified tech platform spanning security, performance, dev
  • SCALE: Serving 20% of web traffic, 1B+ unique IPs daily
  • INNOVATION: Rapid product development across security portfolio
  • BUSINESS: Strong financial metrics with 70%+ gross margins

Weaknesses

  • COMPETITION: Diverse set of established players in each market
  • PROFITABILITY: Continued investment impacting net income margins
  • ENTERPRISE: Lower penetration in high-value enterprise accounts
  • VISIBILITY: Complex product suite making GTM messaging challenging
  • INTEGRATION: Technical debt from acquisitions slowing innovation

Opportunities

  • MARKET: Zero Trust security TAM growing 20% YoY to $60B+ by 2027
  • AI: Edge computing capability critical for AI app deployment
  • EXPANSION: Large enterprise accounts represent $1M+ ACV potential
  • GLOBAL: Infrastructure investment to reach emerging markets
  • DEVELOPER: Growing developer ecosystem with Workers platform

Threats

  • COMPETITORS: Specialized security providers with targeted solutions
  • GIANTS: Hyperscalers extending into edge and security markets
  • REGULATION: Increasing global data sovereignty requirements
  • COSTS: Rising infrastructure costs affecting operating margins
  • ATTACKS: Growing sophistication of DDoS and other cyber threats

Key Priorities

  • NETWORK: Expand edge computing capabilities for ML/AI workloads
  • PLATFORM: Unify product experience across security portfolio
  • DEVELOPERS: Enhance Workers platform for AI-powered applications
  • ENTERPRISE: Streamline adoption path for large enterprise clients
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To build the systems that make the Internet more secure, faster, and reliable while empowering developers to create without constraints

EDGE INNOVATION

Lead the industry in edge AI and compute capabilities

  • INFERENCE: Launch Edge AI service supporting 5 major LLM providers with <100ms latency
  • PERFORMANCE: Reduce AI model inference latency by 40% across our global network
  • PLATFORM: Develop and release 3 new AI-optimized Worker runtime environments
  • ADOPTION: Achieve 500+ enterprise customers using edge AI capabilities
UNIFIED PLATFORM

Create seamless experience across product portfolio

  • INTERFACE: Launch redesigned unified control panel with 95% feature parity across products
  • INTEGRATION: Establish single sign-on and unified billing across all product lines
  • ANALYTICS: Create cross-product dashboard with comprehensive security posture scoring
  • ARCHITECTURE: Reduce technical debt by eliminating 5 legacy APIs and standardizing interfaces
DEVELOPER ECOSYSTEM

Make Workers the preferred platform for cloud developers

  • AI TOOLS: Release 10 AI-powered developer tools including code completion and optimization
  • MARKETPLACE: Expand Workers ecosystem by 50% with 100+ new integrations and templates
  • ADOPTION: Grow monthly active developers using Workers platform by 40% to 250,000+
  • EDUCATION: Launch comprehensive developer certification program with 25,000 completions
ENTERPRISE MOMENTUM

Accelerate adoption in large enterprise organizations

  • CUSTOMERS: Increase >$500K ACV customers by 50% from current baseline of 425
  • SOLUTIONS: Create 5 industry-specific reference architectures for regulated industries
  • SIMPLIFICATION: Reduce average enterprise deployment time by 35% through automation
  • ADVOCACY: Establish C-suite advisory board with 25+ Fortune 500 security leaders
METRICS
  • ARR GROWTH: 35% YoY growth to $2.2B by end of 2025
  • NET RETENTION: Improve dollar-based net retention to 120%
  • OPERATING MARGIN: Achieve 15% non-GAAP operating margin
VALUES
  • We are curious
  • We build trust with transparency
  • We're principled
  • We make things simple
  • We're thoughtful stewards
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Align the learnings

Cloudflare Engineering Retrospective

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To build the systems that make the Internet more secure, faster, and reliable while empowering developers to create without constraints

What Went Well

  • REVENUE: $430.8M in Q1 2024, up 30% YoY exceeding market estimates
  • CUSTOMERS: Large customer (>$100K ACV) growth of 34% YoY to 2,845
  • RETENTION: Dollar-based net retention rate at 115%, showing expansion
  • WORKERS: Platform usage grew 65% YoY with strong developer adoption
  • SECURITY: Zero Trust suite saw 65% YoY growth with Gateway momentum

Not So Well

  • MARGINS: Non-GAAP operating margins at 10%, below long-term targets
  • SALES CYCLES: Enterprise deals experiencing extended closure times
  • COMPETITION: Price pressure in certain segments affecting deal size
  • INTERNATIONAL: APAC growth lagging other regions at just 21% YoY
  • INTEGRATION: R2 storage adoption slower than anticipated

Learnings

  • BUNDLING: Packaged solutions driving higher ACV than point products
  • AI DEMAND: Customers increasingly seeking AI-powered security tools
  • SPECIALISTS: Need for industry-specific expertise in enterprise GTM
  • DEVELOPERS: Workers platform becoming significant revenue driver
  • EDUCATION: Customers need more guidance on complex product portfolio

Action Items

  • SIMPLIFY: Create clear product bundles with transparent pricing tiers
  • ENABLEMENT: Enhance sales training on enterprise solution selling
  • AI STRATEGY: Accelerate AI capabilities across product portfolio
  • INTEGRATION: Improve cross-product experiences for seamless adoption
  • EXPERTISE: Hire industry specialists for key vertical markets
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To build the systems that make the Internet more secure, faster, and reliable while empowering developers to create without constraints

Strengths

  • INFRASTRUCTURE: Global edge network ideal for AI model deployment
  • DATA: Massive security dataset for training specialized AI models
  • WORKERS: Serverless platform ready for ML/AI workload execution
  • TALENT: Strong engineering team with AI/ML experience
  • R&D: Established AI research initiatives across product teams

Weaknesses

  • COMPETITION: Behind hyperscalers in AI infrastructure offerings
  • COMPUTE: Limited GPU availability on edge network for training
  • FRAGMENTATION: AI initiatives siloed across product teams
  • PRIORITIZATION: Resources split between core and AI initiatives
  • TALENT: Challenge attracting specialized AI/ML engineers

Opportunities

  • EDGE AI: Growing demand for inference at edge reducing latency
  • SECURITY: AI-powered threat detection with real-time response
  • DEVELOPERS: AI-augmented development tools on Workers platform
  • PERSONALIZATION: Edge ML for customized content delivery
  • PARTNERSHIP: Strategic alliances with AI model providers

Threats

  • GIANTS: Hyperscalers investing billions in AI infrastructure
  • STARTUPS: Agile AI-first companies disrupting security space
  • COMMODITIZATION: AI becoming standard feature in all products
  • COSTS: AI infrastructure investment straining capital budgets
  • EXPERTISE: Limited pool of AI/ML talent creating hiring wars

Key Priorities

  • EDGE AI: Develop edge-optimized AI inference capabilities
  • SECURITY AI: Create unified AI strategy across security portfolio
  • DEVELOPERS: Expand Workers AI tooling and model marketplace
  • PARTNERSHIP: Form strategic alliances with AI model providers
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