wardley-mapsFeatured
Platform Engineering Evolution: From Custom Scripts to Self-Service
A Wardley map showing the evolution of platform engineering capabilities, from basic scripts to sophisticated developer platforms.
•5 min read•
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Platform Engineering
Explore all content tagged with "Platform Engineering" across insights, frameworks, and resources.
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Featured
All Platform Engineering
insights
Agentic AI Is Becoming an Ops and Data Interoperability Problem
Agentic AI is becoming an operations problem: teams are standardizing on cloud-native infrastructure, OpenTelemetry-style instrumentation, and interoperable data/catalog protocols so AI agents can be...
•3 min read•
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insights
Production AI Is Becoming a Platform Problem: Evals, Context, Security, and Open Data Standards
Engineering orgs are standardizing “production AI” as a platform capability, with evals, context management, and agent-safe security controls becoming first-class infrastructure.
•3 min read•
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insights
The New Enterprise AI Battleground: Context Planes, Interoperability, and Agent-Speed Guardrails
Enterprise AI is entering a “context plane” phase: organizations are investing in unified context layers (catalogs, semantics, permissions, and lineage) and interoperability standards, while...
•3 min read•
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insights
Mid Week Summary: AI Control Planes, Trust Engineering, and Resilience as a Product Requirement
The pattern this week: teams are standardizing “how AI runs” and re-learning how fragile the foundations are
•4 min read•
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insights
Enterprise AI Enters the Ops Era: Control Planes, Eval Loops, and Forward-Deployed Teams
Enterprise AI is moving into an operations era where the differentiator is implementation, governance, and iteration speed, not raw model capability.
•3 min read•
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insights
AI Made Shipping Faster, So Teams Are Rebuilding System Comprehension
Engineering organizations are responding to AI-driven development speed by investing in “system comprehension” capabilities: context stores, real-time service topology, and more formal security and...
•3 min read•
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insights
From Models to Ecosystems: Standardizing and Governing the Agent Toolchain
CTOs are entering a phase where agentic AI adoption depends less on picking a model and more on building a governed tool ecosystem: standardized discovery, auditable access, and constrained execution...
•3 min read•
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insights
Compliance and Resilience Are Becoming the Same Platform Problem
Cloud architecture and platform engineering are converging around a single mandate: bake compliance, security, and multi-region resilience into paved roads so developers can ship without negotiating...
•3 min read•
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insights
Agentic deployments are here, and they raise the floor on identity, isolation, and infra correctness
Teams are moving from “AI assists developers” to “AI and automation can ship and operate,” while simultaneously rediscovering how fragile the foundations can be, from HTTP libraries to container...
•3 min read•
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insights
Tyk vs Traefik: How CTOs Choose Between API Management and Kubernetes-Native Routing
Tyk vs Traefik: how to choose the right gateway for your APIs
•12 min read•
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insights
Infisical vs HashiCorp Vault: a CTO’s comparison of depth, ops cost, and licensing risk
Infisical vs HashiCorp Vault comparison: what CTOs should pick, and why
•12 min read•
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insights
Controlled Autonomy: Agentic Ops Meets the Governed AI Data Plane
AI adoption is moving into the operational core: agentic systems are being embedded into deployment and testing, while governed data platforms become the control plane for models, context, and...
•3 min read•
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