Engineering · Cloud · AI · Data

We scale your SaaS without a full rewrite.

20+ years shipping in production. From garage startups to systems serving 100M+ customers. Senior consultancy in cloud, observability and AI engineering — by people who actually carried the pager.

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~/mgm-tech · zsh

›mgm diagnose --stack aws,k8s,postgres
→ analyzing topology…
→ p99: 840ms · target: <200ms
→ 3 bottlenecks: db, cache, observability
›mgm plan --weeks 6
✓ plan generated · 6 weeks · 1 sr engineer
›

20+Years in production

100M+Customers served

2SaaS shipped

< 200msp99 target

What we do

Four fronts, one senior partner.

We work as a small, lean squad. No extra PM, no 80-slide deck. You talk to whoever is writing the code.

Service · 01

Platform engineering

Senior squad plugged into your team — from architecture design to continuous deploy in production.

Kubernetes · Serverless
Multi-region · HA
CI/CD · GitOps

Service · 02

Pragmatic AI engineering

Claude/Codex pipelines in production with reliable data, observability, cost monitoring and guardrails — not a demo toy.

LLM orchestration
RAG · evals · cost ops
Prompt security

Service · 03

Scale & reliability

When traffic doubles and p99 melts: DB tuning, cache, search and end-to-end observability.

PostgreSQL · Redis · ES
OpenTelemetry · Datadog
SLOs · runbooks

Service · 04

Fractional CTO / Staff

Technical founder needs a second senior brain? We come in by the quarter and leave the team stronger.

Weekly code review
Hiring · interviews
Technical roadmap

Data that drives direction

Well-structured data for fast, reliable and actionable decisions.

We help companies connect systems, organize datasets, build pipelines and turn scattered data into business intelligence. From modern data architecture to executive dashboards, we deliver environments ready for analytics, governance and enterprise AI.

Front · 01

Data strategy and intelligence

Corporate data consolidation for management, operations and executive decision-making. Fewer loose metrics, clearer business visibility.

Actionable KPIs
Integrated view
Governance

Front · 02

Data engineering and architecture

Pipelines, data lakes, lakehouse and data warehouses across cloud and hybrid environments, with quality, performance and traceability designed in.

Databricks
Azure Data Factory
Spark/PySpark

Front · 03

Executive and operational dashboards

Focused dashboards to track bottlenecks, productivity, risk, cost and performance without metric overload or unnecessary complexity.

Power BI
SQL
Operational analytics

Front · 04

AI-ready data foundations

Organization, quality and traceability for internal assistants, enterprise search, automated insights and predictive analytics.

Generative AI
Internal search
Predictive analytics

Stack

The stack we already run in production — not on slides.

Not a list of "technologies we know". It's what we run, debug at 3 AM and teach teams to operate.

Cloud & infra

AWS
Azure
Kubernetes
Serverless
Terraform
Docker

Backend & data

Java
Go
Python
TypeScript
PostgreSQL
Redis
Elasticsearch
NoSQL

Data & analytics

Databricks
Azure Data Factory
Spark
PySpark
Power BI
SQL Server
BigQuery
Airflow

Observability & AI

OpenTelemetry
Datadog
Grafana
Claude
Codex
RAG

Manifesto

AI is a tool — not a job title. We use Claude and Codex every day, but architecture, security and ops decisions stay with people who actually own the stack.

MGM Tech · 2026

Cases