Glyphra
AI-assisted infrastructure summariser and tooling playground. Long-term goal: help teams understand Terraform plans, drift and tagging conventions more easily.
GitHub ↗Cloud / Platform Engineer · AWS Consultant
A few things I’ve been building around infrastructure, Terraform, and tooling.
AI-assisted infrastructure summariser and tooling playground. Long-term goal: help teams understand Terraform plans, drift and tagging conventions more easily.
GitHub ↗Experimental Terraform plan visualiser and diff classifier, with Markdown exports for plan reviews and change documentation.
GitHub ↗A long-term language design side quest exploring pipelines, templating and infra-adjacent computation, inspired by type theory and category theory.
Experiments ↗Local Git hygiene CLI to surface divergence, stale branches and repo health so you don’t accidentally ship from a haunted feature branch.
GitHub ↗A working lens for interpreting operational systems.
Infrastructure Hermeneutics is a way of approaching operational systems that treats failures, metrics, abstractions, and tooling as signals to be interpreted rather than merely optimised.
It assumes that many operational incidents stem from mismatches between declared system behaviour, observed behaviour, and the shared understanding held by teams.
The practice focuses on making those mismatches visible through interpretive artifacts — such as annotated plans, narrative postmortems, and explanation-first tooling — so teams can reason about systems collectively and adjust their abstractions over time.
This is not a delivery methodology, but a technical lens that can be applied alongside DevOps, SRE, and platform engineering practices.
Inspired by the /now page idea – a quick snapshot of what I’m focused on right now.
Danny Molnar – AWS Consultant / Cloud & Platform Engineer based in London, UK. I work mainly on landing zones, infrastructure automation, and developer tooling across AWS (and occasionally GCP).
Cloud and Platform Engineer with experience designing and operating large-scale AWS environments, landing zones and CI/CD platforms. I specialise in Terraform/Terragrunt, GitOps, cost optimisation and observability, with a strong bias towards automation, repeatability, and developer experience. I enjoy building small tools (mostly in Go) around infrastructure to make complex systems more understandable and safer to change.
Currently working as an AWS Consultant / Platform Engineer, helping teams design and operate secure landing zones, CI/CD pipelines and cloud-native platforms (GitLab, Kubernetes, observability stacks, FinOps dashboards).
Previous work includes cloud platform engineering and DevOps roles across consultancy and enterprise environments, focusing on infrastructure-as-code, migration projects, and improving deployment reliability.
For a detailed overview of my professional background, you can read my full CV.