Technologies
Competencies to meet your needs
In a world where new technology is constantly challenging old methods, it’s no longer enough to just ‘operate’ IT tools and systems – you need to master them to perfection. Time is of the essence, and skilled developers and architects can save weeks or months in a project by writing more stable code from the start. The best not only save time, but also resources by minimizing errors and downtime. Below are four broad categories of technologies. The list of tools under each category is of course not exhaustive, but represents a broad selection of technologies that our customers are working with, potential customers have shown interest in, and that are considered by developers to be popular and future-oriented.
Programming Languages and Frameworks
Examples of popular technologies and tools
Java and .NET (C#) – Indispensable in many enterprise solutions with high scalability and stable ecosystems.
JavaScript-based frameworks – React, Angular, Vue.js and Node.js, covering everything from frontend to backend.
C/C++ – Still the backbone of performance-critical projects, embedded solutions and system-oriented development.
Python – Preferred for data analysis, machine learning and back-end development.
TypeScript – Provides better type checking and fewer errors in larger JavaScript applications.
Golang (Go) – Known for high performance and suitable for microservices and cloud-native applications.
Rust – Provides speed and security, especially in system development, encryption and high-performance applications.
Swift – Apple’s primary language for iOS and macOS development, enabling more secure and faster applications.
Cloud & DevOps
Examples of popular technologies and tools
Cloud platforms – AWS, Azure, Google Cloud, supporting everything from serverless functions to data lakes.
Container Orchestration – Docker, Kubernetes, ensuring consistent environments and efficient scaling.
Infrastructure as Code – Terraform, Ansible, allowing the entire infrastructure to be managed through code and automation.
CI/CD pipelines – Jenkins, GitLab CI/CD, GitHub Actions to deliver frequent updates without compromising quality.
Monitoring & Alerting – Prometheus, Grafana, ELK stack to monitor, log and diagnose operations.
Service Mesh – Istio, Linkerd to handle complex communication in microservices architectures.
Observability – OpenTelemetry and similar tools that provide deep insight into application performance.
Databases as a Service – Aurora, Cosmos DB and similar cloud-based database platforms that simplify scaling and operations.
Data, AI & Security
Examples of popular technologies and tools
Databases & Data Warehousing – MySQL, PostgreSQL, MongoDB, Hadoop and Spark for big data.
Data Science & AI frameworks – TensorFlow, PyTorch, scikit-learn, spaCy for everything from computer vision to NLP.
BI & Analytics – Power BI, Tableau, Looker for a full overview of business-critical data.
Security Tools – SIEM solutions (Splunk), OWASP, Snyk, SonarQube that reveal vulnerabilities in code.
Cryptography & Identity Management – HashiCorp Vault, Keycloak, Azure AD B2C for secure key management and user management.
MLOps tools – MLflow, Kubeflow for managing ML models from development to production.
Data Governance – Collibra, Alation and others to help with data structure, standards and regulatory compliance (e.g. GDPR).
Zero-Trust frameworks – Works on the basis that no device or user is automatically trusted and requires ongoing verification.
Integration & Middleware
Examples of popular technologies and tools
API design and protocols – REST, GraphQL, gRPC, enabling flexible communication between systems.
ESB & iPaaS – MuleSoft, Apache Camel, Boomi for setting up enterprise service bus and cloud-based integration platforms.
Messaging & Streaming – Kafka, RabbitMQ, ActiveMQ for event-driven architecture and real-time data.
Microservices Patterns – Spring Boot, Node.js/Express, enabling modular development and independent scaling.
Enterprise Integration Patterns – Publish/Subscribe, Sagas, Choreography to handle complex data flows.
Low-Code Integration – OutSystems, MS PowerPlatform, Mendix, enabling integration solutions to be created quickly without in-depth knowledge of code.
EDI solutions – Digital exchange formats for B2B integration that streamline orders, invoicing and logistics.
Serverless Integration – AWS Lambda, Azure Functions, Cloud Functions, where integrations run in serverless environments, activated only when needed.
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