Platform Engineering
Internal developer platforms, Kubernetes architecture, GitOps, and the engineering discipline that turns cloud into product.
AI Platform Engineering — What Mature Platforms Look Like in 2025
The first wave of enterprise AI platforms is now mature enough to extract patterns. The platforms that compound value across line-of-business teams share recognisable shape.
Enterprise Platform Governance
Platform governance sits between platform team and consumer teams, between central standards and team autonomy, between speed and discipline. A practitioner view of the governance forums, decision rights, and policy boundaries that make platforms operable in regulated enterprises.
Containerization Strategy for Enterprises
Containerization is mature enough to be the default packaging model for new enterprise applications. The strategic decisions are no longer whether to containerise, but which workloads should not, how to sequence adoption, and what the operating model around containers actually demands.
Digital Platform Engineering
Digital platform engineering sits at the intersection of product, engineering, and operations. The discipline has crystallised over the past few years into a distinct practice with documented patterns. A practitioner view of what makes the practice work in enterprise estates.
Platform Reliability Engineering
SRE has moved from Google-specific practice to enterprise discipline. A practitioner view of what site reliability engineering actually requires in regulated enterprise platforms — error budgets, postmortem culture, the operational disciplines that hold.
Enterprise Platform Engineering
Platform engineering as a discipline has crystallised over the last few years. The internal developer platform pattern, the paved road, the platform-as-a-product mindset — a practitioner view of what makes it work in regulated enterprise estates.
Kubernetes for Enterprise Platforms
Kubernetes is the default substrate for new enterprise platforms. The operating model — not the platform choice — is where most Kubernetes rollouts in regulated enterprises succeed or fail. A practical view from delivery.
What would you hand to an agent first?
Bring one workflow. In 60 minutes an AI architect maps where an agent helps, what it needs to reach, and what a first working version would take.