Technology we work with
Languages, platforms and tools grouped by purpose. We choose per problem and explain why.
Application development
Frameworks and runtimes for web, mobile and backend software.
- ReactWeb interfaces
- Node.jsAPIs and services
- .NETEnterprise services
- AndroidNative mobile
- iOSNative mobile
- Progressive web apps
Programming languages
Chosen per component, based on the problem.
- TypeScript and JavaScript
- PythonData, ML and automation
- JavaEnterprise backends
- C#.NET services
- RustPerformance and safety-critical components
- C++Systems and native modules
Databases
Relational and document stores, self-managed or as managed services.
- MySQL
- PostgreSQLIncluding extensions and managed services
- MongoDB
- Azure Cosmos DB
- MariaDB
- Redis / ValkeyCaching
Cloud platforms
Public cloud providers we design for and operate on.
- Microsoft Azure
- Amazon Web Services
- Google Cloud Platform
- Oracle Cloud Infrastructure
- IBM Cloud
Containers and orchestration
From a single managed container to multi-team clusters.
- Docker
- Kubernetes
- Red Hat OpenShift
- Azure Kubernetes Service
- Amazon EKS
- Google Kubernetes Engine
- Azure Container AppsManaged containers without running a cluster
DevOps and GitOps
Delivery pipelines and declarative deployment.
- Azure DevOps
- GitHub Actions
- AWS CodeDeploy
- Argo CDGitOps
- Helm
- Terraform
- Ansible
Service mesh and traffic
Routing, resilience and encryption between services.
- Istio
- Kubernetes Gateway API
- Load balancers and ingress
- DNS management
Security and policy
Controls that run in the platform, not in a document.
- KyvernoPolicy as code
- cert-managerCertificate lifecycle
- Keycloak
- Microsoft Entra ID
- Azure Key Vault
- TrivyImage and dependency scanning
API management and integration
Gateways, contracts and messaging.
- Azure API Management
- OpenAPI
- OAuth 2.0 and OpenID Connect
- RabbitMQ
- Azure Service Bus
- Apache NiFi
AI, ML and MLOps
Serving and lifecycle tooling for machine learning.
- Python ML ecosystem
- KServeModel serving on Kubernetes
- MLflowExperiment tracking and registry
- Azure Machine Learning
- GPU-enabled Kubernetes node pools
Monitoring and operations
Telemetry that leads to action.
- Prometheus
- Grafana
- Azure Monitor
- Amazon CloudWatch
- Dynatrace
- OpenTelemetry
Product names are trademarks of their respective owners. Their inclusion describes technologies we work with and does not imply partnership, certification or endorsement.
Tell us what you are building
Share the problem, the systems involved and your timeline. An engineer will reply to discuss scope and next steps.
Request a consultation