Services

Six service lines. One engineering organisation.

Cloudtech designs, builds and operates the data platform layer of enterprises. Each service line can be also bought on its own but together they cover the whole path from the system that produces a record to the decision made on it, and the operations that keep every part running.

  • 01

    AI integration

    Language models integrated with your data, inside your network, where a measured gain justifies them. Permission-aware retrieval, analysis on aggregates, agents with narrow tools, and a model supply chain you can verify.

    • Embeddings on your own data
    • Ontology-based full-text augmentation
    • Agentic workflows with guardrails
    • Decision model training

  • 02

    Managed platform and database services

    24/7 operation of Oracle, PostgreSQL, MySQL, SQL Server and time-series databases, failover clusters, Kubernetes, storage, backup and DR, with a P1 reaction time of one hour or less for every client.

    • Oracle, PostgreSQL, MySQL, SQL Server, time-series
    • Failover clusters, Kubernetes, storage
    • High availability, disaster recovery, backup
    • Upgrades, migrations, licence optimisation

  • 03

    Data platform engineering

    One governed pipeline from every system that produces data to every system and person that uses it, built and run on premises. Change data capture, streaming and delivery to any target, with a contract for every stream.

    • Change data capture from databases
    • Ingestion from brokers, logs, devices and files
    • Streaming and batch processing
    • Data contracts, quality and lineage

  • 04

    Analytics, reporting and decision support

    KPI systems, live dashboards, operational reporting, data marts and OLAP. Every figure drills down to its records, with role-based access, in the users' languages.

    • Data warehouses and marts
    • OLAP models and analytics
    • Reporting and KPI systems
    • Live dashboards and drill-down

  • 05

    Software development

    Custom applications, stream-processing jobs, integrations and tooling in Java, Python, TypeScript and SQL/PL-SQL, versioned and tested through CI/CD and operated by the team that wrote them.

    • Stream-processing jobs and integrations
    • Enterprise back ends and APIs
    • Applications
    • Modernisation of legacy systems

  • 06

    DevOps, automation and observability

    CI/CD and GitOps, infrastructure as code with Ansible, Terraform and Helm, database DevOps with Liquibase and Flyway, and monitoring with Zabbix, Grafana, Prometheus and ELK/EFK.

    • CI/CD and GitOps
    • Infrastructure as code
    • Database DevOps
    • Monitoring, alerting and incidents
Reference architecture

Sources to decisions, on premises

Service levels

P1 reaction ≤ 1 h, 24/7, for every client

Talk to an engineer.

Describe the system, the problem and the time frame. An engineer replies, with questions before proposals.

Talk to an engineer Service levels