Stop Building Apps, Start Engineering Control Planes Titelbild

Stop Building Apps, Start Engineering Control Planes

Stop Building Apps, Start Engineering Control Planes

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 Most organizations think more apps means more productivity. They’re wrong. More apps mean more governance surface area — more connectors, more owners, more permissions, more data pathways, and more tickets when something breaks. Governance-by-humans doesn’t scale. Control planes scale trust. This episode breaks down a single operating model shift — from building apps to engineering control planes — that consistently reduces governance-related support tickets by ~40%. This channel does control, not crafts. 1. The Foundational Misunderstanding: “An App Is the Solution” An app is not the solution. An app is a veneer over:Identity decisionsConnector pathwaysEnvironment boundariesLifecycle eventsAuthorization graphsWhat gets demoed isn’t what gets audited. Governance doesn’t live in the canvas. It lives in the control plane: identity policy, Conditional Access, connector permissions, DLP, environment strategy, inventory, and lifecycle enforcement. App-first models create probabilistic systems.Control planes create deterministic ones. If the original maker quits today and the system can’t be safely maintained or retired, you didn’t build a solution — you built a hostage situation. 2. App Sprawl Autopsy App sprawl isn’t aesthetic. It’s measurable. Symptoms:3,000+ apps no one can explainOrphaned ownershipDefault environment gravityConnector creepGovernance tickets as leading indicatorsThe root cause: governance that depends on human review. Approval boards don’t enforce policy.They manufacture precedent. Exceptions accumulate. Drift becomes normal. Audits require heroics. Governance becomes theater. 3. The Hidden Bill App-first estates create recurring operational debt:📩 Support friction📑 Audit evidence scavenger hunts🚨 Incident archaeology💸 License and capacity wasteThe executive translation: You can invest once in a control plane.Or you can pay ambiguity tax forever. 4. What a Control Plane Actually Is A control plane decides:What can existWho can create itWhat must be true at creation timeWhat happens when rules driftOutputs:Identity outcomesPolicy outcomesLifecycle outcomesObservability outcomesIf enforcement requires memory instead of automation, it’s not control. 5. Microsoft Already Has the Control Plane Components You’re just not using them intentionally.Entra = distributed decision engineConditional Access = policy compilerMicrosoft Graph = lifecycle orchestration busPurview DLP = boundary enforcement layerPower Platform admin features = scale controlsThe tools exist. Intent usually doesn’t. Case Study 1: Power App Explosion Problem: 3,000+ undefined apps.Solution: Governance through Graph + lifecycle at birth. Changes:Enforced ownership continuityZoned environments (green/yellow/red)Connector governance gatesAutomated retirementContinuous inventoryResults:41% reduction in governance-related tickets60% faster audit evidence production28% reduction in unused assetsSystem behavior changed. Case Study 2: Azure Policy Chaos Problem: RBAC drift, orphaned service principals, inconsistent tagging.Solution: Identity-first guardrails + blueprinted provisioning. Changes:Workload identity standardsExpiring privileged rolesSubscription creation templatesDrift as telemetryEnforced tagging at birthResults:35% drop in misconfigurations22% reduced cloud spendZero major audit findingsGovern the principals. Not the resources. Case Study 3: Copilot & Shadow AI Blocking AI creates shadow AI. So they built an agent control plane:Prompt-level DLPLabel-aware exclusionsAgent identity governanceTool-scoped permissionsLifecycle + quarantineMonitoring for drift & defectsResults:Full rollout in 90 daysZero confirmed sensitive data leakage events2.3× forecasted adoptionNot “safe AI.”Governable AI. Executive Objection: “Governance Slows Innovation” Manual review slows innovation. Control planes accelerate it. App-first scaling looks fast early.Then ambiguity compounds.Tickets rise. Trust erodes. Innovation slows anyway. Control planes remove human bottlenecks from the hot path. The Operating Model Self-service with enforced guardrails:Zoning (green/yellow/red)Hub-and-spoke or federated on purposeEngineered exception workflowsStandardized templatesIncentives for reuse and deprecationAnd one executive truth serum: 🎯 Governance-related support ticket volume. If that number drops ~40%, your control plane is real. If it doesn’t, you’re performing governance. Failure Modes Control planes rot when:Automation is over-privilegedPolicies pile without refactoringLabels are fantasyOrphaned identities persistTelemetry doesn’t existGovernance must be enforceable, observable, and lifecycle-driven. Otherwise it’s theater. Conclusion Stop scaling apps.Scale a programmable control plane. If this episode helped reframe your tenant, leave a review so more operators find it. Connect with Mirko Peters on LinkedIn for deeper control plane patterns.Become a supporter of this podcast: ...
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