Articles
Insights
Fundamentals and decision guides for cloud, DevSecOps, API management, cybersecurity and AI. We explain the technical context and what matters for selection, adoption and operations.
Decisions & implementation
Questions from architecture, adoption and operations: assess options, clarify requirements and prepare next steps.
Tyk, Kong or Azure API Management: choosing for enterprise operations
Compare operating models, configuration as code, team onboarding and licensing.
Read → API Management & SecurityAPI migrations: managing a controlled platform change
Assess the current estate, check compatibility and manage the transition between API platforms.
Read → AI Strategy & AdoptionAdopting AI: from use case to operation
Prioritise use cases, trial workflows and connect governance with adoption and operations.
Read → Cybersecurity & IdentityIdentity management: controlling access across applications
Design identities, roles and access across applications and platforms.
Read → AI Strategy & AdoptionInternal AI assistants: cloud service or self-managed?
Assess operating models against actual data flows, contracts, access rights and costs.
Read → Cloud & DevSecOpsAzure Landing Zone: building blocks, decisions, mistakes
Structure a cloud foundation and prepare networking, identity and governance decisions.
Read → Cloud & DevSecOpsTerraform for teams: state, modules, review
Organise state, permissions, modules and approval of infrastructure changes across teams.
Read → Cloud & DevSecOpsInternal Developer Platform: when it pays off
Assess the value of a developer platform and find a suitable starting point for your teams.
Read → AI Strategy & AdoptionSecuring MCP: what the Model Context Protocol opens up
Secure tool integrations with limited permissions, controlled execution and traceable logs.
Read → Cybersecurity & IdentitySBOM: generate, verify, retain
Record software components, assess security findings and retain evidence for each release.
Read →Fundamentals
Concepts and terminology explained clearly. Start with a topic or look up a specific term.
What is Platform Engineering?
What an internal platform is, which tasks it supports and when it pays off.
Read → FundamentalsWhat is a Landing Zone?
The prepared cloud foundation, explained through Azure, AWS and STACKIT.
Read → FundamentalsWhat is Infrastructure as Code?
How infrastructure is described and provisioned, and what state and drift mean.
Read → FundamentalsWhat is GitOps?
Versioned desired states, continuous reconciliation and the limits of automatic recovery.
Read → FundamentalsWhat is an AI agent in the enterprise?
Understand assistants, agents and automation, and define permissions and responsibilities.
Read → ReferenceGlossary
45 terms from cloud, platform engineering, APIs and AI explained briefly.
Read →Getting started
Where to start.
Four reading paths for decisions about cloud, security, APIs and AI.
You are modernising your cloud
From a shared foundation to controlled changes: Landing zones on Azure, AWS and STACKIT, Terraform for teams, Assess developer platforms.
You are organising access and security controls
Connect identities and permissions with applications and delivery: Identity management, SBOM in operation.
You are developing your API platform
From selection to a controlled transition: Tyk, Kong or Azure API Management, Plan API migrations.
You are introducing AI at work
Consider value, workflows and operations together: AI adoption, Internal AI assistants, Secure MCP integrations.
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