Assess and decide
Make the next technology decision with confidence.
Independent assessment, architecture and vendor review, risk analysis and a practical roadmap grounded in delivery and operational constraints.
Independent technology leadership and delivery
From complex technology
decisions to reliable
production.
MMTech helps companies turn high-stakes AI, cloud and platform initiatives into dependable production outcomes—with independent senior guidance and hands-on delivery through one accountable point of contact.
More than 25 years leading mission-critical platforms, enterprise cloud infrastructures and international technology organisations.
25+Years of experience
100+Professionals led
€70MTechnology budgets
100+Projects completed
How MMTech can help
Three paths from uncertainty to dependable delivery
Start with the situation you need to resolve. Each engagement is scoped separately before work begins.
Build and reach production
Move from validated direction to dependable production.
Hands-on delivery for Private AI, cloud, platforms and enterprise integrations—from architecture and implementation to production readiness.
Stabilise and recover
Restore control when a critical initiative is at risk.
Independent diagnosis and hands-on stabilisation for fragile platforms, troubled programmes and mission-critical services.
Why MMTech
Senior accountability from decision to production
Senior accountability
Direct senior involvement from the first decision through production readiness.
Independent choices
Technology selected for the real context—not to satisfy a product quota.
Operational reality
Architecture, implementation, reliability and recovery considered as one delivery problem.
Sustainable control
Open, documented solutions designed to reduce unnecessary complexity and lock-in.
What I do
Capabilities and services
Tailored engagements, from assessment to production rollout.
Technology strategy and leadership
Roadmaps, digital transformation, architecture, technology and vendor assessment; governance of complex programmes and direct support to executives.
Artificial Intelligence and Private AI
Private LLM platforms, on-premises, cloud and hybrid AI, GPU infrastructure, knowledge bases, chatbots and agents integrated with enterprise systems.
Cloud and Platform Engineering
Cloud, Kubernetes and containerisation, application modernisation, deployment automation, serverless platforms, performance and cost optimisation.
Site Reliability Engineering
SRE, observability, incident management, capacity planning, business continuity, disaster recovery and stabilisation of mission-critical platforms.
Assessment, security and recovery
Independent technology assessment and due diligence, architecture reviews, security, resilience and scalability analysis, recovery of troubled projects and direct support to internal teams.
MMTECH / 02
How I build
Technologies and platforms
Open, interoperable stacks selected to fit the context. The goal is not to impose a product, but to build controllable, documented and sustainable solutions.
01
Cloud, platform & serverless
- Microsoft Azure · Hybrid cloud · Private cloud
- Kubernetes · K3s · OpenShift
- Docker · Helm · Traefik
- Apache OpenServerless · OpenWhisk
02
Private AI & agentic systems
- Ollama · vLLM · OpenAI-compatible APIs
- RAG · knowledge bases · AI agents
- MCP · tool calling · API integration
- GPU, on-premises and hybrid architectures
03
Data, databases & storage
- PostgreSQL · MySQL/MariaDB · SQLite
- Redis/Valkey · MongoDB/FerretDB
- S3 · MinIO · SeaweedFS
- Document storage and vector databases
04
Identity & enterprise integrations
- Keycloak · OAuth 2.0/OIDC · SSO
- Microsoft 365 · Microsoft Graph
- Kerberos/IWA · IMAP/SMTP
- Google Workspace services · WhatsApp
05
Software engineering & automation
- Python · Go · TypeScript/JavaScript · PHP
- React · Vite · Laravel · Swift/SwiftUI
- Node.js · Bun · REST APIs · webhooks
- pytest · Playwright · GitHub Actions · Ansible
06
IT Service Management & Operations
- ITIL practices · service governance · operating models
- Incident · Major Incident · Problem Management
- Change · Release · Service Transition
- SLAs/OLAs · KPIs · capacity & availability management
MMTECH / 03
Governed AI delivery when coordination matters
A practical governance layer for distributed AI work.
When an engagement involves multiple AI teams, MMTech can use and adapt the Control Plane as an optional delivery-governance capability. Teams retain their local working context while shared rules, knowledge and approvals remain current. Leadership receives concise evidence about progress, blockers, costs and decisions without centralising every execution detail.
The Control Plane is optional and is not required for other MMTech services. It is not a standalone SaaS subscription. The software can be used without a licence fee; assessment, adaptation, implementation and support are professional services scoped separately.
A continuous, bidirectional operating loop01 · On the field
Remote AI teams
Each team works inside its own project and development environment.
- Project-local context and skills
- Meaningful status updates
- Separate development and production streams
02 · Shared company layer
MMTech Control Plane
The common point of access for governance and reusable company knowledge.
- Company KB and operating rules
- Approved team rosters and skills
- Proposal, evidence and cost gates
03 · Decision layer
CEO portfolio
A concise view of what needs attention across the company.
- Health, progress and freshness
- Blockers, milestones and active time
- Explicit cost and policy decisions
Teams → Control PlaneStatus · proposals · evidence · active iteration time
Control Plane → TeamsRules · skills · approvals · company news
CEO ↔ Control PlanePortfolio signals · cost and policy decisions
Product view · synthetic data
From the operating loop to a decision-ready portfolio
Every team update becomes a concise executive view of health, freshness, progress, active time and cost decisions. The projects and values shown in this preview are entirely synthetic.
The operating loop
Teams pull the current rules, work locally, report meaningful change and receive the latest company news on the next API call.
MMTECH / CONTROL PLANE
Selected work
Technology projects
A selection of project areas described exclusively through technical scope, architecture and technology stack.
Featured project
A governed Enterprise AI ecosystem
I am designing and building a modular Enterprise AI ecosystem powered by the Nuvolaris OpenServerless Private AI Solution. The platform connects operational workflows, business intelligence and executive assistance while keeping authoritative sources, private context and business domains clearly separated.
Open the full-size project architecture Enterprise hybrid infrastructure
Design, evolution and stabilisation of heterogeneous enterprise environments across data centres, private cloud and public cloud.
- Target architecture, migration planning and integration between existing and new platforms
- Operating-system lifecycle, virtualisation and standardisation of compute environments
- Security, monitoring, backup and recovery requirements embedded in platform design
Windows ServerRed HatUbuntuVMwareMicrosoft AzurePrivate cloud
Data centre and network modernisation
Modernisation of data-centre foundations and network services with a focus on resilience, secure connectivity and operational visibility.
- LAN, WAN and data-centre connectivity architecture for hybrid environments
- Segmentation, redundancy, high availability and controlled service exposure
- Monitoring, capacity analysis and operational procedures for resilient services
VirtualisationNetwork architectureSecurityMonitoringHigh availability
Cloud adoption and DevOps
Cloud adoption paths and repeatable delivery processes for modern applications and infrastructure, from source code to production.
- CI/CD pipelines, environment promotion and automated quality checks
- Configuration, secrets and infrastructure automation across delivery stages
- Release, rollback and observability practices designed for controlled change
Hybrid cloudCI/CDContainersAutomationDevOps
Kubernetes and container platforms
Container orchestration platforms designed for reliable application delivery, repeatable operations and controlled lifecycle management.
- Cluster architecture, workload placement and environment separation
- Ingress, networking, persistent storage and application packaging
- Upgrade strategy, security controls, monitoring and operational runbooks
KubernetesK3sOpenShiftDockerHelmTraefik
Open-source serverless platforms
Open-source serverless runtimes and control-plane services that give development teams a consistent path from function code to production.
- Function runtimes, actions, packages and event-driven execution models
- Administration APIs, command-line tooling and Kubernetes integration
- Build, packaging, testing and observability for serverless workloads
Apache OpenServerlessOpenWhiskKubernetesGoPythonTypeScript
Private AI and knowledge systems
Local and hybrid AI platforms for governed access to language models, documents and enterprise knowledge without surrendering data control.
- Model serving, GPU sizing and OpenAI-compatible access layers
- Document ingestion, RAG pipelines, embeddings and vector retrieval
- Access control, auditability and integration with existing applications
OllamavLLMGPURAGVector databasesOpenAI-compatible APIs
AI agents and enterprise automation
Agentic workflows connected to documents, communications and business systems, with explicit control over tools and execution.
- Tool calling and workflow orchestration for multi-step business processes
- Integration with mail, documents, knowledge sources and enterprise APIs
- Human review, error handling and traceability for sensitive operations
MCPTool callingWorkflow orchestrationREST APIsWebhooksMicrosoft Graph
Identity and single sign-on
Centralised identity and secure application access across heterogeneous platforms, legacy services and modern web applications.
- Federation and single sign-on based on OAuth 2.0 and OpenID Connect
- Role, token and session design aligned with application boundaries
- Integration of enterprise directories and legacy authentication mechanisms
KeycloakOAuth 2.0OpenID ConnectSSOKerberosIWA
Data and storage platforms
Operational data services, document storage and interoperable persistence layers selected according to access patterns and lifecycle needs.
- Relational, cache, document, object and vector data services
- Backup, replication, retention and storage lifecycle design
- Access APIs, security boundaries and performance optimisation
PostgreSQLMySQLSQLiteRedisMongoDBS3MinIO
Application modernisation
Evolution of legacy applications towards maintainable web architectures, explicit service boundaries and testable APIs.
- Legacy assessment, dependency mapping and incremental migration planning
- Separation of frontend, backend and integration responsibilities
- Automated testing, delivery pipelines and application security controls
PHPLaravelReactViteMySQLREST APIs
Reliability and resilience engineering
Continuous improvement of service availability, performance and recovery readiness for operationally critical platforms.
- Telemetry, service objectives and structured incident and problem management
- Capacity, bottleneck and performance analysis across platform layers
- Disaster-recovery design, continuity procedures and tested runbooks
ObservabilityIncident managementCapacity planningDisaster recoverySRE
Infrastructure as Code
Declarative, automated and repeatable provisioning across cloud and local environments, maintained with the same discipline as application code.
- Reusable infrastructure modules and environment-specific configuration
- Automated bootstrap, configuration management and deployment workflows
- Version control, validation and idempotence for predictable change
TerraformAnsiblecloud-initGitHub ActionsShell automation
MMTECH / PROJECTS
A senior perspective
Experience
Michele Manzani is a technology executive with over 25 years of experience managing mission-critical digital platforms, enterprise cloud infrastructures and international technology organisations.
Throughout his career, he has managed
- global organisations of more than 100 professionals
- technology budgets of up to €70 million
- enterprise cloud platforms and hybrid environments
- environments comprising thousands of servers
- Kubernetes platforms, Private AI and high-availability systems
- complex technology and organisational transformation programmes
How I work
From strategy to production
Analysis, design, implementation and production rollout with direct accountability.
Enterprise experience, pragmatic approach
Solutions proportionate to the client’s actual needs, without unnecessary complexity.
Sustainable and independent solutions
Repeatable, documented architectures designed to reduce risk and lock-in.