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.
Service 04 / 07
Areas of support
- Web applications
- Mobile applications
- Backend services and dataServices · Logic · Data structures
- Analysis environment
- Infrastructure
Operational support across the system
Cloud infrastructure
Environments on AWS, Google Cloud or Azure, defined as code and run in containers.
Services and APIs
Backend services and secure APIs, with queues and caching where the load calls for them.
Data and dashboards
Databases, pipelines and dashboards that turn what a system collects into information.
Integrations
Connect your applications with each other and with the services you already use.
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.
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
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
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
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.