Blog · Topic

Internal Developer Platforms

12 analyses tagged Internal Developer Platforms
Cloud Platform Engineering

Vibe-Coded Apps Are the New Shadow IT — and Enterprise Has No Playbook Yet

AI-generated code is letting engineers spin up production-grade cloud infrastructure in an afternoon without security review. Platform teams are watching and mostly unprepared.

Cloud Platform Engineering

Why Developers Should Own Their Own Observability (And How to Start)

CNCF's case for shift-left observability: instrument your code while writing it, use zero-code OpenTelemetry for baselines, and add manual spans where it matters most.

Cloud Platform Engineering

CNCF Publishes Governance Framework Guidance: Three Models, One Critical Mechanism

CNCF's analysis of 72 projects reveals that organizational-balanced voting — not contributor volume — is the strongest predictor of sustained contributor diversity. The guidance recommends three governance structures based on project size and complexity.

Cloud Platform Engineering

How to Bring Organizational Knowledge Into Kiro Using Amazon Bedrock and MCP

AWS shows how to connect Kiro to Amazon Bedrock Knowledge Bases via MCP so developers get instant, cited answers about ADRs, API specs, and coding standards without leaving their editor.

Cloud Platform Engineering

Platform Engineering ROI: The Real Cost of Building Your Own Internal Platform

A DIY internal developer platform runs $7.5M/year at enterprise scale. The ROI is real but requires 50+ engineers to capture. Here's how to read the math before committing.

Cloud Platform Engineering

AWS Kiro's Agent Client Protocol: The LSP Moment for AI Coding Agents

AWS rebuilt Kiro around the Agent Client Protocol, separating coding agents from editors. Here's why this LSP-like shift matters for platform teams.

Cloud Platform Engineering

Platform Engineering's Next Job: Managing AI Agents Like Any Other Workload

CNCF's case for the agentic enterprise: platforms must treat AI agents as first-class citizens alongside applications and resources, with shared context as the new primitive.

Cloud Platform Engineering

Platform Engineering 2.0: Five Pillars for AI-Native Workloads

Platform Engineering 1.0 solved developer delivery. Platform Engineering 2.0 must solve GPU allocation, model serving, agentic governance, and FinOps for AI consumption. Here's the framework.

Cloud Platform Engineering

kpt Joins CNCF: The Kubernetes Config Toolchain That Shows You What You're Deploying Before You Deploy It

kpt's CNCF sandbox debut reintroduces a Kubernetes configuration toolchain built around WYSIWYG deployment — you inspect the final manifest before it hits the cluster, not a template that generates it.

Cloud Platform Engineering

Codeplain's Argument: Code Should Be Regenerated, Not Maintained

Dušan Omerčević's Codeplain treats code as disposable output and specs as the durable artifact. In the age of AI-assisted development, the case for regenerative development is harder to dismiss than it sounds.

Cloud Platform Engineering

AWS Agent Toolkit: Why Your Agent Is Ignoring 20+ Skills Without This One File

AWS launched an Agent Toolkit with 20+ packaged skills for coding agents, but most developers miss the rules file that tells agents to use them — causing silent fallback to training data instead of authoritative AWS guidance.

Cloud Platform Engineering

The Three-Layer IDP That Cut Deployment Failures from 30% to 5%

Separating infrastructure, platform, and application layers in a Kubernetes IDP cut deployment failures from 30% to 5% and provisioning time from hours to 15 minutes. Here's the full architecture.

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