Capabilities & Practices · 4 Core Engineering Pillars · 9-Domain Technology Matrix

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

Practice 01 · 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

1,000x Velocity

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

Pedigree: Cut Yahoo ($5B M&A) regulated release cycles from 6 weeks to 6 minutes

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

Practice 02 · 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)

Agentic Data Factory

AI-Assisted / Agentic Data Development Factory

We developed AI Skills and MCP solutions for Data Engineering, Data Architecture, and Governance development/audit as well as DB Performance Tuning. We support our clients with our state-of-the-art AI-Assisted / Agentic Data Development Factory.

Automated Hybrid Data Vault 2.0 (Hubs, Links, Satellites, PIT & Bridge tables) compiled into Kimball star schemas via dbt
Agentic governance audit, schema contract enforcement, and automated SQL / CBO performance diagnostics
Deployed across Snowflake, Apache Iceberg on S3, Amazon Redshift, Oracle Exadata 19c, ClickHouse, and DuckDB (30%+ faster delivery)

Open IP: AI Skills & MCP for Data Engineering, Governance & DB Tuning

100% Crash-Free

Legacy SQL & Warehouse Refactoring

Untangle decades of undocumented T-SQL, PL/SQL, ODI, 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
Cut 130.5-hour DB-time multi-billion-row queries to under 2 minutes and accelerated core ETL jobs by 89.6% to 98.0%
High-concurrency analytical serving for executive BI, ML feature stores, and regulatory reporting

Pedigree: Türk Telekom · LC Waikiki · Bank of America Merrill Lynch · İş Bankası

Practice 03 · 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, audits, and tunes cloud and data systems by embedding our "Loop Engineering" AI skills and MCP servers directly into your repositories.

Custom FastMCP servers and AI skills for Data Engineering, Data Architecture, Governance development/audit, and DB Performance Tuning
Standardized agentic workflows across Claude Code, Cursor, and Gemini CLI powering our AI-Assisted / Agentic Data Development Factory
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

Practice 04 · For CFOs, CTOs, FinOps Leads & Private Equity

Cloud FinOps, Exadata Tuning & LLM Unit Economics.

We treat cloud, database hardware, and licensing spend as an architectural engineering discipline. Our FinOps and Exadata performance engagements routinely pay for our entire consulting fee within 60 days while boosting system throughput.

Verified Proof: >£1M/yr licensing saved · +40% Exadata CPU uncaged · ~22% cloud spend recovered

30-50% Savings

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 →

>£1M/yr Saved · +40% CPU

Oracle Exadata RAC & Commercial DB FinOps

We combine commercial core-licensing FinOps with bare-metal Oracle Exadata RAC performance surgery across multi-petabyte telecom and banking estates.

Hard-partitioned VMware ESXi / AWS Dedicated Host core isolation cutting licensed Oracle processor counts by 85% (>£1M/yr saved)
Uncaged +512 trapped hardware threads (+40% CPU capacity) on asymmetric 10-node Exadata RAC (X9M-2 + X10M) and collapsed resmgr:cpu quantum waits by 99.9% via custom DBRM v5.0
Eliminated ~18.6 TB/day of broadcast temp spills via non-invasive DBMS_SQLDIAG SQL Patches, eradicated 100% of enq: SS & 99.6% of enq: HV waits, and cut nightly batch windows by 5.0 hours/day

Pedigree: Türk Telekom (10-Node Exadata RAC · 403.8 PB Smart Scan)

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
01 · 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
02 · 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
03 · Data Modeling, Governance & Factory	dbt Core / Cloud, Hybrid Data Vault 2.0 (Raw + Business Vault), Kimball Star Schemas, AI-Assisted / Agentic Data Development Factory (AI Skills & MCP for Data Engineering, Architecture, Governance Audit & DB Performance Tuning)	30%+ faster enterprise analytics delivery; 15,000+ lines of fragile legacy SQL refactored with 100% crash elimination
04 · 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
05 · 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)
06 · 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
07 · Enterprise Database Estates & Exadata	Oracle Exadata RAC (X9M-2 / X10M, Smart Scan, DBRM, CBO SQL Patches, Hash Partitioning, HyperLogLog Stats), Amazon Aurora, RDS PostgreSQL, SQL Server (200+ instances), AWS DMS, Debezium CDC	Uncaged +512 Exadata threads (+40% CPU), -99.9% CPU quantum waits, -5.0h/day nightly batch, ~18.6 TB/day temp spills eliminated; 80 TB zero-data-loss UK policing migration
08 · Observability & Reliability (SRE)	OpenTelemetry, Prometheus, Grafana, AWS CloudWatch, Datadog, Chaos Game-Days, Automated Data Quality & Reconciliation Gates	Sub-minute streaming pipeline observability across 25B-26B daily records; zero-downtime production cutovers
09 · 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