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Hands-on training
Workshops.
8 one-day hands-on workshops, each mapped to a capability we deliver. Small cohort, real hardware, runbook to take away. Scheduling opens as each is finalised. Interest now shapes the first cohort; add to cart when a workshop is live, otherwise the card is a placeholder.
Hands-on: BentoML on RKE2 — 1-day workshop
Containerise a real model, autoscale it behind Envoy, measure p99 latency and cost-per-request. Ship with a runbook.
Scheduling soon →
Hands-on: Firecracker runners — 1-day workshop
Per-tenant microVM isolation from the 200-LOC primitive through the Ignite-managed CI runner pool. Prove the blast-radius story.
Scheduling soon →
Hands-on: NATS for event-driven systems — 1-day workshop
Document-ingest pipeline on JetStream with idempotent replay, KV state, and the failure-drill playbook end-to-end.
Scheduling soon →
Hands-on: SeaweedFS storage — 1-day workshop
Stand up a 4-node cluster, attach to K8s via the CSI driver, benchmark against Longhorn on the same hardware.
Scheduling soon →
Hands-on: Azure Cognitive in a bespoke platform — 1-day workshop
Wire STT into an Envoy ext_authz edge pipeline with a SeaweedFS cache. Add a Content Safety gate. Measure cost savings honestly.
Scheduling soon →
Hands-on: TTS pipeline on A100 — 1-day workshop
5-engine dispatch on Azure serverless A100. Voice cloning with consent. Manifest-driven provenance for every render.
Scheduling soon →
Hands-on: Air-gapped RKE2 — 1-day workshop
Bootstrap a 3-node RKE2 cluster on a sealed network from a single pre-staged tarball. Bundle pipeline + bootstrap script + CIS-benchmark evidence path.
Scheduling soon →
Hands-on: Envoy Gateway advanced — 2-day workshop
mTLS + Gateway API routing + Redis-backed ratelimit service + ext_authz gates + Grafana panels. Two days, production-shape stack.
Scheduling soon →
Format
How workshops run.
One day. 4 to 8 people. Real hardware — bring a laptop, we supply the cluster. Morning is lab setup + the primitive ("here's the thing that makes the rest work"); afternoon is the production shape with failure drills and a hand-over runbook. Every workshop ends with each attendee leaving with a working artefact they built, not a set of slides. Pricing is fixed per cohort, not per seat — we keep the group small so the hands-on time stays real.
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AI Infrastructure · Platform Engineering · London.
Since 2014.
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