What we run
Machines, not adjectives.
Battle-tested software, diagnostics, and pre-merge invariants engineered to prevent runtime crashes, eliminate leaks, and execute zero-downtime platform migrations.
01 · Lead Offering
By-Design Platform Resilience & Carrier-Grade SRE
Autonomous AI Systems Assurance
Carrier-grade reliability engineered directly into autonomous agent architectures. Enforces 0 → 1 → 0 process lifecycle guarantees so runaway agent tools and child subprocesses cleanly return to zero baseline state. Eliminates cascade failures, orphaned zombie processes, leaked PTY descriptors, and token-burn retry loops.
Zero-Defect Agent Swarms
Continuous resilience validation across distributed multi-agent workflows. Combines pre-merge verification gates with live runtime containment so production agent swarms operate with deterministic guarantees under maximum concurrency, preventing state corruption and runaway orchestration.
02 · Maintainer Cockpit
Universal Maintainer Runway (JEV PR Evaluator)
Automated Pre-Merge Code Guardian for CTOs & Maintainers
The JEV Pipeline (Judge · Evaluate · Verify)
A dedicated feature cockpit for repository maintainers and engineering leadership. The automated JEV pipeline (Judge · Evaluate · Verify) automatically scores code standards, detects PTY and socket leaks before merge, and stops runaway subprocesses from poisoning CI runners. It audits incoming pull requests against AST diff boundaries and categorizes changes into a deterministic 4-tier PR grouping system.
CTO & Maintainer Authority
Automated code standard scoring built for CTOs and engineering leadership. Replaces subjective code review with deterministic quality scores, policy enforcement, and automated merge readiness verdicts that protect upstream repositories from silent degradation.
03 · Diagnostic
Packet Analysis
Definitive root-cause diagnosis for elusive, high-impact production outages that dashboards and APMs miss. We inspect raw Layer 3 wire traffic and kernel state to pinpoint exact failure points across Service → Network → Compute.
What we run
An essential Layer 3 wire-forensic capability within our Service Reliability Engineering diagnostic toolbelt alongside eBPF, cgroups, and k6 chaos injection. Wireshark and tcpdump on the wire path. Kubeshark on in-cluster API and service traffic. eBPF on the Kubernetes stack: Cilium, Hubble, bpftrace, BCC, custom kprobes and tracepoints, socket filters, and cgroup v2 watermarks. NetFlow and SNMP when flow and fabric telemetry fill the gap.
What you get
Cause across Service → Network → Compute, sized to an actionable engineering fix. Layer 3 wire forensics correlated with kernel, cgroup, and chaos metrics — not a PCAP left on a laptop, and not a dashboard that stopped at the symptom. Pedigree: 25+ years of national telecommunications packet forensics.
04 · Shipped
K3 / Kubernetes platform migration on demand
Zero-downtime fleet migration engine and operational cockpit that transitions legacy workloads onto modern, declarative Kubernetes platforms with continuous verification.
What we run
The Fleet Operations Console is the pane of glass for a Kubernetes fleet moving onto declarative KRO architectures. Declarative Application Resource Graph (Platform Application CRD / RileyApplication) is the source of truth. Argo is the sync engine under that definition, not a pile of hand-written application YAML. Conductor is deprecated; orchestration moves to Temporal.
What you get
A runway in priority order. The Apps board is one row per product: health, containers, pods, restarts, cluster, namespace, and whether it is managed from the KRO source of truth or from legacy sync. Still broken is not the same as open. A row opens its containers, then Start workspace runs the change and stops at a pull request.
The console below is a sanitized demonstration of that operating picture. Six fictional applications. No live cluster, no secrets, no internal host.
Fleet Operations Console
K3 / Kubernetes platform migration on demand.
One row per product. Health, restarts, and where the app is managed from — KRO source of truth or legacy sync — with priority on the left. Click a product to open its containers. This board is a demonstration, not a live cluster.
| Containers | Pods R/P/F | Cluster | Namespace | Managed from | Issues | ||||
|---|---|---|---|---|---|---|---|---|---|
| P0 | Degraded | 4 | 1/0/2 | 26 active 18m | edge | ingress | Legacy sync | 1 | |
| gateway | Degraded | 22 | container · session-gateway | ||||||
| proxy | Healthy | 4 | container · session-gateway | ||||||
| P1 | Degraded | 6 | 3/1/1 | 11 settling 2h | apps | runtime | KRO SSOT | 1 | |
| P1 | Unknown | 2 | 0/0/0 | 0 — | edge | ingress | Legacy sync | 0 | |
| P1 | Progressing | 3 | 2/1/0 | 7 stable 1d | core | data | Legacy sync | 1 | |
| P2 | N/A | 0 | 0/0/0 | 0 — | core | observe | KRO SSOT | 0 | |
| P2 | Healthy | 1 | 1/0/0 | 3 stable 9d | apps | runtime | KRO SSOT | 0 | |
| P2 | Healthy | 2 | 2/0/0 | 4 stable 9d | core | policy | KRO SSOT | 0 | |
| P2 | Healthy | 5 | 5/0/0 | 44 stable 9d | apps | runtime | KRO SSOT | 1 | |
The issue was closed. The same drift came back on the next collect.
05 · Gate
Pre-Merge Resilience Gate and Behavioral Invariant Engine
What we run
By-Design checks in CI. The 9-Layer Verification Engine dynamically selects what the diff needs, from physical through cognitive governance. The 4-Round Quadriad is R1 Expected-Red on main, R2 Expected-Green on the pull request, R3 zero-leak / 0→1→0, R4 sabotage caught.
What you get
A gate that fails closed. The agent that picked the tests does not edit them, mute them, or rewrite the raw result; it may only summarize the deterministic output. Proof trail: architectural verification engine specifications. Run it on bare metal, Docker, Kubernetes, and Cloud MicroVMs.
06 · Watch
Remote monitoring, sized to the application
What we run
Remote probes, log intelligence, and a health / reaper path customized to how your service actually runs.
What you get
A picture of launcher, serve, and Cloud that operators can act on. Closed-loop reaping for leaked PTYs and zombie trees, tied back to the True SRE ladder when the wire has to be read.
07 · Loop
Performance and benchmarking
What we run
A performance loop across any service or application: measure, diagnose on Service → Network → Compute, change config or code or architecture, re-measure. Agentic Development Workflows keep that loop repeatable.
What you get
The loop proved on bare metal between Calgary and Montreal, then extended to any cloud or enterprise network. No invented savings on this site.