React
Component-based web interfaces for products with interactive workflows and reusable UI patterns.
React is useful when several application journeys share stateful interface components and a consistent design system.
technologies / Mohkam Technologies
Explore the tools we consider, where they fit and the tradeoffs worth understanding before you commit.
Component-based web interfaces for products with interactive workflows and reusable UI patterns.
React is useful when several application journeys share stateful interface components and a consistent design system.
JavaScript and TypeScript services for APIs, integration workloads and event-driven applications.
Node.js suits I/O-heavy services and teams that benefit from sharing language and tooling across frontend and backend work.
Readable backend, automation and data software with a broad scientific and machine-learning ecosystem.
Python is a strong fit for data pipelines, evaluation tools, machine learning and business automation connected to existing systems.
Maintainable web applications, business workflows and APIs built on the Laravel ecosystem.
Laravel fits products that need server-rendered pages, authentication, queues, database-backed workflows and a coherent application structure.
Repeatable application packaging for development, testing and deployment environments.
Containers help keep runtime dependencies consistent between engineers, build systems and hosting environments.
Container orchestration for workloads that justify scheduling, rollout and service management infrastructure.
Kubernetes can help teams operate multiple containerized services with consistent deployment patterns and resource controls.
Cloud architecture, migration and operational support using Amazon Web Services.
AWS offers managed infrastructure and application services for a broad range of workload shapes and operational requirements.
Cloud planning and integration for workloads built around Microsoft Azure services.
Azure can fit organizations connecting business applications with established Microsoft identity and infrastructure environments.
Cloud infrastructure and data platform delivery on Google Cloud.
Google Cloud can support application hosting, data processing and analytics when its services align with the workload and operating model.
Cross-platform application delivery using Flutter and Dart.
Flutter is useful when a product needs a cohesive interface across mobile platforms and the team can own the relevant plugins and release processes.
Mobile applications that combine shared React development patterns with native platform integration.
React Native can suit teams with React experience who need iOS and Android applications with an actively maintained native integration layer.
Relational data architecture, query performance and migration support with PostgreSQL.
PostgreSQL fits applications that need transactional integrity, explicit data models and flexible querying over business records.
Versioned infrastructure provisioning with reusable definitions and controlled state.
Terraform supports repeatable infrastructure changes across environments where review, consistency and ownership are important.
Native iOS application engineering using Swift and platform-native capabilities.
Swift fits products that depend on close integration with Apple device features and established native interaction patterns.
Native Android engineering with Kotlin for device-aware applications.
Kotlin is a practical choice for Android products with demanding platform integration and long-lived mobile maintenance requirements.
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