Capabilities & Practices

Principal-Led Engineering Across Cloud, Data, Agentic AI & FinOps.

Every Archeon Cloud engagement is scoped to a measurable engineering outcome and delivered directly inside your AWS accounts and Git repositories. Explore our four integrated capability practices and the full technology matrix that powers them.

01Cloud Foundation & DevSecOps 02300k/s Streaming & Data Vault 2.0 03Agentic AI & Loop Engineering 04Cloud & Licensing FinOps 05Full Technology Matrix

For CTOs, VPs of Platform & CISOs

Cloud Foundation, Modernization & Regulated DevSecOps.

We design, harden, and automate multi-account AWS foundations that survive SOC 2 Type II, HIPAA, PCI-DSS, ISO 27001, and post-M&A security audits without slowing down developer release velocity.

Verified Proof: 6 weeks → 6 minutes CI/CD release acceleration (1,000x)

Landing Zones

Regulated Multi-Account AWS Architecture

AWS Well-Architected Reviews, Control Tower landing zones, and multi-region topologies engineered for strict security isolation and deterministic disaster recovery.

AWS Organizations, Service Control Policies (SCPs), IAM Identity Center & least-privilege permission boundaries
Centralized KMS encryption, GuardDuty, Security Hub, AWS Config, and CloudTrail audit lakes
Transit Gateway hub-and-spoke networking, PrivateLink service meshes, and zero-trust VPC ingress

Deliverables: Terraform / OpenTofu modules · Signed ADRs · Threat Model & DR Runbooks

Golden AMIs

Immutable Golden AMIs & GitOps Delivery

Shift security accreditation left into the machine image build pipeline so engineering teams deploy to production in minutes instead of waiting weeks for manual InfoSec tickets.

HashiCorp Packer + Terraform + Jenkins / GitHub Actions Security-Accredited Golden AMI factories
Production-hardened Amazon EKS (Karpenter, Cilium, ArgoCD) and serverless ECS Fargate platforms
OpenTelemetry, Prometheus, Grafana, and CloudWatch SLO alerting tied to real user journeys

Zero Downtime

Cloud, Database & M&A Cutover Factory

Rehearsed, dual-write, and Change-Data-Capture (CDC) migrations from on-premise data centers, Heroku, GCP, or Azure into AWS with sub-minute rollback guarantees.

AWS DMS + Debezium continuous CDC replication with automated row-hash reconciliation
Strangler-fig decomposition of legacy monoliths into event-driven microservices
Air-gapped & high-security data migrations (proven across 80 TB UK policing intelligence archives)

Pedigree: Lockheed Martin (UK Met Police 80 TB) · Yahoo M&A carve-out

For CDOs, VPs of Data & Principal Architects

High-Throughput Streaming, Data Vault 2.0 & Lakehouses.

Most enterprise data platforms are either too brittle to audit or too expensive to run at scale. We combine zero-copy C++/PyArrow streaming engines with automated Hybrid Data Vault 2.0 + Kimball lakehouses.

Verified Proof: ~300,000 rec/sec under 80 MB RAM · 1/10th Spark cost

ACE Open IP

PyArrow Zero-Copy Streaming Ingestion

Replace costly, OOM-prone JVM/Spark streaming clusters with our stateful C++/PyArrow micro-batch Parquet engine and high-throughput Kinesis/Kafka architectures.

Sustains ~300,000 records/sec per worker under a strict 80 MB RAM ceiling
Processes 200,000+ raw files/day (20.5B records) while compressing EL windows from 14.5h to 3.5h
400% IIoT ingestion scale-up proven across 50M+ daily sensor JSONL files and 60+ AWS microservices

Pedigree: Türk Telekom (50M+ subs) · Siemens Mobility (£1.6B UK Rail)

automate-dv-kimball

Hybrid Data Vault 2.0 + Kimball Lakehouses

Full historical auditability for regulators combined with sub-second star-schema BI performance, powered by dbt, AutomateDV, and our open-source automate-dv-kimball package.

Automated Hubs, Links, Satellites, Point-in-Time (PIT), and Bridge tables generated from metadata
Seamless compilation into dimensional Kimball facts and dimensions (30%+ faster analytics delivery)
Deployed across Snowflake, Apache Iceberg on S3, Amazon Redshift, ClickHouse, and DuckDB

Open IP: Creator of open-source automate-dv-kimball dbt accelerator

Legacy SQL

Legacy SQL & Warehouse Refactoring

Untangle decades of undocumented T-SQL, PL/SQL, SSIS, and Informatica monoliths into modular, version-controlled, CI-tested data pipelines.

Refactored 15,000+ lines of fragile stored procedures into dbt, DuckDB & Polars with 100% crash elimination
Automated data lineage, schema contract testing, and sub-minute anomaly detection
High-concurrency analytical serving for executive BI, ML feature stores, and regulatory reporting

Pedigree: LC Waikiki · Bank of America Merrill Lynch · İş Bankası · LB of Hackney

For CTOs, Heads of AI & VPs of Engineering

Agentic AI Systems, Bedrock RAG & 10x Loop Engineering.

We move organizations beyond fragile chatbot demos to production-grade Amazon Bedrock architectures, Model Context Protocol (FastMCP) data agents, and agentic software engineering workflows.

Verified Proof: 10x developer velocity · ~60% faster engineer onboarding

Amazon Bedrock

Production Bedrock RAG & Guardrails

High-precision retrieval and synthesis over enterprise documents, contracts, and telemetry with deterministic evaluation gates and strict PII/compliance boundaries.

Hybrid lexical + vector retrieval across pgvector, Amazon OpenSearch, and S3 Vectors with cross-encoder reranking
Golden-dataset evaluation harnesses measuring faithfulness, groundedness, latency, and cost per query before deploy
Bedrock Guardrails, prompt caching, semantic caching, and automatic model routing via tokener

Playbook: Read our AI/ML & Bedrock Cost Optimization Playbook

Loop Engineering

Agentic Developer OS & FastMCP

Transform how your engineering organization writes, tests, and operates cloud and data systems by embedding our "Loop Engineering" AI skills directly into your repositories.

Custom FastMCP servers exposing live database metadata, dbt lineage, and AWS telemetry safely to coding agents
Standardized agentic skills across Claude Code, Cursor, and Gemini CLI for autonomous PR generation & verification
Proven to deliver a 10x developer productivity multiplier and reduce new-hire onboarding time by ~60%

Open IP: Reusable AI Skills & FastMCP Enterprise Toolkit

MLOps & Inference

Applied ML Platforms & GPU Economics

End-to-end MLOps pipelines on Amazon SageMaker and EKS that take predictive models from notebook experiments to autoscaled, cost-governed production inference.

Feature stores, automated retraining DAGs, drift detection, and shadow/canary model deployments
vLLM, TGI, and Triton inference serving on Spot G5/G6 and AWS Inferentia2/Trainium instances
Predictive maintenance (rail/IIoT), subscriber churn modeling, and financial risk scoring

Impact: 40-65% lower GPU inference cost per million requests

For CFOs, CTOs, FinOps Leads & Private Equity

Cloud FinOps, Database Licensing & LLM Unit Economics.

We treat cloud and licensing spend as an architectural engineering discipline. Our FinOps engagements routinely pay for our entire consulting fee within 60 days while improving system resilience.

Verified Proof: >£1M/yr licensing saved + ~22% cloud spend recovered

AWS FinOps

AWS FinOps & Unit-Cost Engineering

Surgical architectural cost optimization across compute, storage, data transfer, and commitment instruments without degrading latency or availability.

Recovers ~22% of unattributed cloud spend via mandatory tagging and tenant-level unit-cost telemetry
Graviton4 migrations, EKS Karpenter bin-packing, S3 Intelligent-Tiering, and NAT/cross-AZ egress elimination
Savings Plans, Reserved Instance portfolio modeling, and AWS Enterprise Discount Program (EDP) negotiation prep

Playbook: Kubernetes & EKS Cost Optimization Playbook

Database Licensing

Commercial Database Licensing FinOps

Commercial Oracle Enterprise Edition and SQL Server processor licenses are often the single largest hidden liability in enterprise cloud migrations and PE portfolios.

Hard-partitioned VMware ESXi / AWS Dedicated Host core isolation cutting licensed processor counts by up to 85%
Delivered >£1,000,000/yr in verified recurring Oracle licensing savings while boosting I/O throughput
Pragmatic commercial-to-open-source migration roadmaps (Oracle/SQL Server to Aurora PostgreSQL, Iceberg & DuckDB)

Pedigree: Tier-1 UK & Global Enterprise Database Estates

tokener Open IP

Real-Time LLM Cost Control (tokener)

Stop discovering runaway AI agent loops on next month's invoice. Deploy our self-hosted tokener control plane inside your VPC in under 30 minutes.

Attributes every prompt and completion token across Bedrock, Anthropic, and OpenAI to a tenant, feature, and user
Enforces hard rolling hourly, daily, and monthly USD caps before an upstream stream opens
Automatic model downgrade rules (e.g., Opus to Sonnet/Haiku) preserve UX while protecting gross margin

Product: Explore tokener Architecture & Live Console

Comprehensive Technical Specification

The Archeon 9-Domain Technology & Impact Matrix.

For VPs of Engineering, Enterprise Architects, and Technical Due Diligence teams: below is our exact stack coverage paired with verified production outcomes.

Capability Domain	Core Technologies, Frameworks & AWS Services	Verified Production Impact
Cloud & Lakehouse Platforms	AWS (Control Tower, Organizations, EKS, ECS Fargate, S3, Glue, Athena, Lambda, Kinesis, IoT Core, Redshift, KMS), Snowflake, Apache Iceberg, ClickHouse, DuckDB	Multi-petabyte telecom, rail & banking lakehouses; 50M+ daily IIoT sensor files ingested across 60+ microservices
High-Throughput Data & Streaming	Python, C++ PyArrow (Zero-Copy), Polars, Apache Arrow, Apache Spark, Kafka, AWS Kinesis, Zstd Parquet, Stateful Micro-Batching	~300,000 records/sec per worker under <80 MB RAM; daily EL cut from 14.5h to 3.5h at 1/10th Spark CPU/RAM cost
Data Modeling & Transformation	dbt Core / Cloud, Hybrid Data Vault 2.0 (Raw + Business Vault), Kimball Star Schemas, `AutomateDV`, `automate-dv-kimball` (Open IP), Advanced SQL / T-SQL / PL-SQL	30%+ faster enterprise analytics delivery; 15,000+ lines of fragile legacy SQL refactored with 100% crash elimination
Agentic AI & GenAI Engineering	Amazon Bedrock, Anthropic Claude, OpenAI, FastMCP (Model Context Protocol), Hybrid RAG (pgvector, OpenSearch), LangGraph, Claude Code, Cursor, Gemini CLI ("Loop Engineering")	10x developer productivity multiplier; ~60% faster engineer onboarding; deterministic RAG evaluation harnesses
DevSecOps & Infrastructure as Code	Terraform / OpenTofu, HashiCorp Packer (Golden AMIs), Docker, Kubernetes (EKS / Karpenter), Jenkins, GitHub Actions, GitLab CI, Linux Kernel & I/O Tuning	1,000x CI/CD release acceleration (cut regulated release cycles from 6 weeks to 6 minutes during Yahoo's $5B M&A)
Cloud, Licensing & LLM FinOps	`tokener` (Self-Hosted LLM Cost Proxy), AWS CUR, Cost Explorer, Savings Plans, Graviton4, Hard-Partitioned ESXi / Dedicated Host Commercial DB Licensing	>£1,000,000/yr saved via 85% Oracle core reduction; ~22% unattributed cloud & AI spend recovered
Enterprise Database Estates	Amazon Aurora, RDS PostgreSQL, Oracle 19c/Exadata, Microsoft SQL Server (200+ instance fleets), AWS DMS, Debezium CDC, Redis	80 TB zero-data-loss UK policing migration; 19x national tax platform scale-up & 900% transaction boost
Observability & Reliability (SRE)	OpenTelemetry, Prometheus, Grafana, AWS CloudWatch, Datadog, Chaos Game-Days, Automated Data Quality & Reconciliation Gates	Sub-minute streaming pipeline observability across 20.5B daily records; zero-downtime production cutovers
Governance & Regulatory Compliance	SOC 2 Type II, HIPAA, PCI-DSS, GDPR / KVKK, ISO 27001, DORA, UK Official-Sensitive, Architecture Decision Records (ADRs), Async Video RFCs	Audit-ready AWS landing zones and traceable Data Vault 2.0 lineage delivered in 3 to 6 weeks

Not sure whether to start with an Audit, a 4-Week Proof Lab, or an Embedded Sprint?

Every engagement begins with a complimentary 30-minute principal architecture review. Tell us your target outcome and constraints, and we will return a written 1-page scope with fixed milestones within 48 hours.

Explore 4-Week Proof Lab Book Principal Review