Gark Tech Contact
infrastructure · automation · applied AI

Where infrastructure meets intelligence.

Gark Tech is an independent engineering lab for secure cloud, resilient networks, intelligent automation and applied AI, building toward an AI-powered Solution Assistant for IT teams.

secureby design, layered defence
automatedrepeatable, documented
intelligentAI where it adds value
// 01 solution areas

Six areas. One engineering standard.

Gark Tech focuses on the technology every modern organisation runs on, and on making it secure, automated and intelligent.

01

Secure Cloud Platforms

Cloud and hybrid foundations designed to be hardened, reproducible and easy to operate.

  • Cloud architecture and migration
  • Containers and virtualisation
  • Identity and access design
02

Network & Connectivity

Fast, reliable and visible networks, from the core to the last access point.

  • LAN, WAN and wireless design
  • Secure remote access
  • Network monitoring and inventory
03

Cyber Resilience

Protection and recovery engineered together, so incidents are contained and systems come back.

  • Edge protection and WAF
  • Endpoint detection and response
  • Backup, recovery and restore testing
04

Business Platforms

Core business systems that match how teams actually work, not the other way round.

  • ERP and operations platforms
  • IT and facilities service management
  • Workflow, approvals and SLAs
05

Intelligent Automation

Repetitive work turned into reliable, auditable automation.

  • Infrastructure as code
  • Process and workflow automation
  • Self-service for users
06

Applied AI & Data

Practical AI that understands your environment and works alongside your people.

  • Assistants over your own knowledge
  • Anomaly detection on operations data
  • AI-assisted triage and reporting
// 02 lifecycle

From first assessment to continuous improvement.

A complete engineering lifecycle, so nothing stops at go-live.

01

Assess

Understand the business, the risks and what exists today.

02

Architect

Design for security, scale and simple operations.

03

Build

Reproducible, documented and tested deployments.

04

Secure

Defence in depth, least privilege, verified recovery.

05

Operate

Monitoring, service management and clear SLAs.

06

Evolve

Automate, measure and apply AI where it adds value.

// 03 reference architecture

A reference architecture

The pattern the lab is built on: layered, least-privilege and recoverable. Shown as a design, not a live system map.

USERS

Secure access

Encrypted end to end, identity-first

→
EDGE

Protection layer

DNS, TLS, web application firewall, bot defence

→
GATEWAY

Reverse proxy

Routing, limits, hardened entry point

→
APPS

Containerised services

Isolated, reproducible workloads

→
DATA

Private data tier

Never exposed, least-privilege access

RESILIENCE

Backup & recovery

Off-site copies, regularly restore-tested

NEXT

Observability

Metrics, logs, traces and alerting in one view

FUTURE

AI operations

Models that read signals and assist engineers

// 04 ai & machine learning

Applied AI, grounded in operations

The AI track of the lab: practical machine learning for IT and business operations, always with a human in the loop.

llm/

Assistants & RAG

Language models answering from your own documents, runbooks and tickets, with sources cited.

ml/

Anomaly detection

Learning normal behaviour from network and server telemetry to flag problems early.

agents/

Workflow automation

AI agents that triage requests, draft responses and prepare changes for human approval.

data sources→clean & index→model / retrieval→evaluation→human review→deploy & monitor
// 05 engineering standards

Principles behind every build.

⛨

Secure by design

Security is part of the architecture, not an afterthought.

↻

Recoverable

Every system has a tested way back.

⚙

Automation first

If it is done twice, it is automated.

◉

Observable

If it cannot be measured, it cannot be managed.

▤

Documented

Clear runbooks so knowledge never sits with one person.

✦

Human-in-the-loop AI

AI recommends; people decide.

// 06 technology

Technology landscape

Proven platforms today, emerging technology next. Solid: core. Dashed: emerging.

net/

Networking

VLANsFirewallsWi-FiVPNSD-WANIPv6
sys/

Systems & Cloud

VirtualisationLinuxContainersBackup & DRKubernetesTerraform
sec/

Security

WAFTLS / PKIEDRIAMZero TrustSIEM
ai/

AI & Data

PythonAutomationLLMs & RAGVector DBsscikit-learnMLOps
// 07 roadmap

Where the lab is heading

From a single hardened server to automated, observable, zero-trust infrastructure.

phase 01 · done

Foundation

  • ✓Cloud host and domain
  • ✓Edge TLS and WAF
  • ✓Off-site backups
phase 02 · done

Platforms & workflows

  • ✓Business platforms
  • ✓Service management and SLAs
  • ✓Role-based access
phase 03 · next

Observe & automate

  • ○Metrics and dashboards
  • ○Infrastructure as code
  • ○CI/CD pipeline
phase 04 · future

Zero trust & AI

  • ○No inbound ports
  • ○SIEM and alerting
  • ○AI ops assistant
● future plan · in design
// 08 vision

Gark Tech Solution Assistant

An AI operations partner for IT teams. It watches the signals, understands the environment, explains what is wrong in plain language and prepares the fix. A human always approves.

01 · connect

Read the signals

Monitoring, logs, backups, tickets and documentation.

02 · understand

Correlate

Link events across systems to find the real cause.

03 · explain

Diagnose

Plain-language summary with evidence and confidence.

04 · plan

Prepare the fix

Step-by-step change plan with a rollback.

05 · approve

Human in control

Nothing runs without sign-off; every action is logged.

example scenario · conceptincident: overnight backup failed
What the assistant sees
02:30 backup job started
02:41 upload to off-site storage: timeout
02:41 server disk usage 91%
03:05 2 users report "system slow"
03:06 ticket auto-created, priority high
Diagnosis

Local backup files were not being cleaned up, the disk filled, and the upload stalled. The slowness reports are the same root cause. Confidence: high · based on 3 linked signals.

Proposed fix
1Remove local backup copies older than 7 days (off-site copies are kept)
2Re-run the backup and verify the upload completes
3Add a disk-space alert at 80% to catch this earlier
4Update the runbook and close the ticket with a summary
Approve planEditRollback: restore from off-site copy
Incident co-pilotRoot cause and fix plan in minutes, not hours.
Change assistantDrafts changes with risk, impact and rollback.
Knowledge on tapAnswers from your own runbooks and past tickets.
Health reportsWeekly plain-language reports for managers.
Human approval for every actionYour data stays yoursExplainable answers with evidenceFull audit trail

A concept in development. Not a commercial offering.

// contact

Follow the build.

Questions about the lab, or want to swap notes on infrastructure and AI? Get in touch.

✉ [email protected]