What Is Your Platform Engineering 2.0 Platform Made Of? PlatformEngineering.com and Futurum Research are examining how organizations are adapting their platforms for AI workloads and agents. This anonymous survey takes approximately three minutes. Results may be reported in aggregate in a forthcoming Platform Engineering 2.0 white paper. Individual responses will not be attributed without permission. Question Title * 1. Which description best matches your role? (Select one) Platform engineering DevOps, DevSecOps or SRE Software engineering Cloud or infrastructure engineering Enterprise architecture Data science, ML engineering or MLOps Security, risk or compliance FinOps Engineering or IT leadership Consultant or technology vendor Other (please specify) Question Title * 2. What is your organization's current platform engineering status? (Select one) Operating a mature internal platform Operating a platform that is still expanding Building our first internal platform Evaluating or planning a platform initiative Operating multiple purpose-built platforms No current platform engineering initiative Unsure Question Title * 3. What are the primary outcomes expected from your platform? (Select up to three) Improve developer productivity Accelerate and standardize software delivery Improve security, compliance or reliability Control infrastructure, cloud or AI costs Support AI/ML development and operations Govern AI models and agents Modernize traditional applications Enable hybrid or multicloud operations Meet data sovereignty or residency requirements Other (please specify) Question Title * 4. What is your platform primarily made of? (Select all that apply) Backstage Another internal developer portal or service catalog APIs, command-line tools or agent interfaces CI/CD, GitOps or infrastructure as code Self-managed Kubernetes Managed public-cloud Kubernetes VMware Cloud Foundation or VMware vSphere Another private-cloud or virtualization platform Public-cloud infrastructure and managed services Virtual machines managed outside Kubernetes Serverless or application platform services Bare-metal infrastructure Multiple platforms without a common control layer Unsure Other (please specify) Question Title * 5. How is your organization supporting AI workloads? (Select one) Extending our existing platform to support AI Building a separate AI/ML platform Connecting our platform to external model APIs Using a managed public-cloud AI platform Operating a private AI platform Combining external services with internally hosted models Supporting AI experimentation without a formal platform Not currently supporting AI workloads Unsure Question Title * 6. Which AI-specific platform capabilities are available today? (Select all that apply) AI gateway or unified model access Model registry, evaluation or serving AI-specific observability Token or inference cost accounting GPU provisioning, scheduling or optimization Agent identity and permissions Agent behavioral guardrails and auditability MCP server discovery or governance Data access, lineage or residency controls None of these Unsure Question Title * 7. How mature are your AI governance and cost controls? (Select one) Embedded across the platform, with clear ownership and cost attribution Partially centralized, but important gaps remain Managed separately by individual teams Primarily applied after deployment or after costs are incurred No consistent governance or cost-control model Not applicable Unsure Question Title * 8. What is the greatest constraint preventing your platform from delivering what the business now expects? (Select one) Platform adoption or developer experience Orchestration and integration Kubernetes or workload management Infrastructure or GPU availability Data access and governance AI model or agent management Security or compliance Observability Cost visibility and FinOps Platform skills or staffing Funding or executive support Difficulty demonstrating platform value Other Optional: What is the one capability you most need to add or improve? Question Title * 9. Would you be willing to participate in a short follow-up interview? (Select one) Yes No Next