Cloud, Data & DevOps

Plan the systemsyour software depends on.

Applications need an operating environment, dependable data flows and a clear plan for deployment and support. We bring infrastructure, backends, databases and monitoring into the technical scope, with choices shaped around expected use and running costs.

Areas of support

The complete technical environment

  • Web applications
  • Mobile applications
  • Backend services and dataServices · Logic · Data structures
  • Analysis environment
  • Infrastructure

Operational support across the system

Web and mobile applications connect to backend services and data structures, which support the analysis environment. Everything runs on the planned infrastructure, with deployment and operational support defined across the system.
  1. Cloud infrastructure

    Environments on AWS, Google Cloud or Azure, defined as code and run in containers.

  2. Services and APIs

    Backend services and secure APIs, with queues and caching where the load calls for them.

  3. Data and dashboards

    Databases, pipelines and dashboards that turn what a system collects into information.

  4. Integrations

    Connect your applications with each other and with the services you already use.

  5. DevOps and monitoring

    Automated deployments, monitoring and alerts, with a team that responds when something needs attention.

Designed to run

Built for the load and the budget.

We consider the workload, deployment process and maintenance needs when planning infrastructure. Managed services, containers and infrastructure as code are options to assess against those requirements.

The data plan defines where records belong, how they move between systems and which reports the team needs.

Relevant experience

Infrastructure behind a national survey.

For NMHS-2, Datalk delivered the infrastructure and backend behind the survey, with central data management for 250,000+ interviews and technical support throughout fieldwork.

  • Mobile App & Survey PlatformFlagship programme

    NMHS-2

Security and operations

Plan access, monitoring and operating responsibilities.

Access requirements, data handling, deployment and monitoring are considered while the system is planned. The engagement defines the controls, operating responsibilities and support arrangements it needs.

Technology

Choose the tools around the workload.

The choice of environment starts with the workload, running costs and requirements for where data is kept. Deployment tools and monitoring are selected as part of that operating plan.

  1. Cloud and hosting

    Cloud and hosting options assessed against the application, deployment process, data requirements and operating budget.

    • AWS
    • Google Cloud
    • Microsoft Azure
    • DigitalOcean
    • Vercel
    • Cloudflare
  2. Infrastructure as code

    Docker for containers, Kubernetes where orchestration is needed, and Terraform for infrastructure definitions, alongside Linux and Nginx.

    • Docker
    • Kubernetes
    • Terraform
    • Linux
    • Nginx
  3. Data and pipelines

    PostgreSQL, MongoDB and Redis for day-to-day data, Elasticsearch for search, and Apache Kafka, Apache Spark and Databricks when large volumes need to move or be processed.

    • PostgreSQL
    • MongoDB
    • Redis
    • Elasticsearch
    • Apache Kafka
    • Apache Spark
    • Databricks
  4. Delivery and monitoring

    GitHub Actions for agreed build and deployment checks, with Prometheus and Grafana for monitoring and alerts configured around the system.

    • GitHub Actions
    • Prometheus
    • Grafana

Give your software a foundation that lasts.

Tell us what you run today, what it needs to handle and what it costs you.