Technology Library

Explore the frameworks and platforms we use to ship resilient products

From modern frontend stacks to scalable cloud infrastructure, this library highlights the tools we rely on, why they matter, and the business outcomes they enable.

Frontend Technologies

High-performance interfaces, design systems, and progressive web applications that feel native on every device.

React

Component-driven JavaScript library for building rich, interactive interfaces.

React’s virtual DOM and robust ecosystem make it ideal for teams that iterate quickly. We design modular component libraries, optimize render performance, and pair React with TypeScript for maintainable, enterprise-scale frontends.

Common use cases

Customer dashboards and self-service portals with real-time data.
Design-system-led marketing and documentation sites.
Embedded admin consoles for SaaS platforms.

Often paired with: Next.js, Tailwind CSS, Redux Toolkit.

Vue.js

Progressive framework that scales from embedded widgets to full SPA experiences.

Vue’s approachable syntax and single-file component model speed up delivery without sacrificing structure. We leverage Vue for teams who want performant UX with lean codebases and clear separation between layout, logic, and styling.

Common use cases

Interactive analytics widgets embedded in legacy applications.
Documentation hubs and knowledge bases with dynamic search.
Mobile-friendly customer onboarding flows.

Often paired with: Pinia, Vite, Tailwind CSS.

Angular

Opinionated framework with batteries included for enterprise-grade web apps.

Angular’s DI container, RxJS integration, and CLI tooling provide a structured path for large teams. We design scalable architectures with strict typing, reusable modules, and automated testing baked in from day one.

Common use cases

Regulated-industry portals requiring robust role-based access.
Complex form workflows and internal tooling with heavy validation.
Micro-frontend architectures deployed at scale.

Often paired with: NgRx, GraphQL, Storybook.

Next.js

React framework for hybrid static & server rendering with built-in routing.

Next.js bridges product and marketing needs by supporting SSR, ISR, and app-routing in one platform. We use it to improve Core Web Vitals, internationalize content, and integrate seamlessly with headless CMS and commerce platforms.

Common use cases

SEO-critical marketing sites with dynamic personalization.
Multi-tenant SaaS dashboards with server actions and caching.
Content-heavy portals fed by headless CMS pipelines.

Often paired with: React Server Components, Vercel, Supabase.

TypeScript

Typed superset of JavaScript that scales engineering velocity and maintainability.

TypeScript reduces regressions and allows distributed teams to collaborate with confidence. We define shared types across API and client layers, maintain strict compiler settings, and enforce consistency through linting and CI pipelines.

Common use cases

Shared design systems consumed by multiple teams.
Mission-critical frontends where regressions are costly.
Serverless applications sharing DTOs across services.

Often paired with: ESLint, Jest, GraphQL Code Generator.

Tailwind CSS

Utility-first CSS framework for rapid UI development with design guardrails.

Tailwind accelerates UI delivery by promoting composable utility classes and consistent spacing scales. We extend Tailwind with custom themes, integrate with design tokens, and ship accessible components without bloated stylesheets.

Common use cases

Design system implementation with shared tokens.
Marketing experiments that demand quick iteration.
Internal tooling with configurable layouts.

Often paired with: React, Next.js, Storybook.

Backend & API Technologies

Reliable services, integration layers, and domain-driven APIs that scale with your roadmap.

Node.js

Event-driven runtime that powers fast, scalable network applications.

Node.js shines for high-concurrency workloads and shared JavaScript stacks. We build REST and GraphQL services, stream processing pipelines, and leverage NestJS or Express with structured logging, monitoring, and automated testing.

Common use cases

API gateways for mobile and web clients.
Real-time collaboration or chat features.
Serverless functions orchestrating third-party integrations.

Often paired with: TypeScript, NestJS, AWS Lambda.

Python

Versatile language for APIs, automation, and data science workloads.

Python’s readability and package ecosystem make it perfect for rapid delivery. We build FastAPI and Django services, automate data pipelines, and interface with machine learning workloads — all with strong testing and observability practices.

Common use cases

REST APIs backing analytics dashboards.
ETL jobs and scheduled automations.
ML model serving with orchestration and monitoring.

Often paired with: FastAPI, Celery, Pandas.

Java

Battle-tested language for mission-critical, high-throughput systems.

We rely on Java to build low-latency services with Spring Boot, structured domain models, and strong observability. Its mature ecosystem suits long-lived platforms that demand performance, compliance, and predictable lifecycle management.

Common use cases

Payment processing and transactional systems.
Event-driven microservices in regulated environments.
Large-scale batch processing and integration hubs.

Often paired with: Spring Boot, Kafka, Hibernate.

.NET Core

Cross-platform framework for building secure, performant services.

.NET Core enables C# teams to modernize monoliths or create cloud-native APIs with first-class tooling. We implement clean architecture patterns, leverage Entity Framework, and deploy to containerized or serverless runtimes.

Common use cases

Enterprise APIs integrating with Microsoft ecosystems.
Workflow automation and background processing.
Migration of legacy .NET Framework solutions to the cloud.

Often paired with: Azure Functions, SQL Server, IdentityServer.

PHP

Hypertext Preprocessor powering millions of content and commerce sites.

We deliver modern PHP applications using frameworks like Laravel and Symfony with clean, testable code. By layering caching, queues, and modern deployment practices we extend PHP platforms far beyond their original limitations.

Common use cases

High-traffic CMS and ecommerce experiences.
APIs that extend Shopify, WordPress, or Drupal ecosystems.
Marketing automation backends with complex workflows.

Often paired with: Laravel, Horizon queues, Redis.

Ruby on Rails

Convention-over-configuration framework ideal for rapid product delivery.

Rails excels when teams need to ship features fast without sacrificing maintainability. We architect services with Hotwire, Sidekiq workers, and strong test coverage so startups and enterprises alike can iterate safely.

Common use cases

MVPs evolving into mature SaaS platforms.
Back-office tooling with complex relational data.
APIs for mobile or SPA clients using Active Model Serializers.

Often paired with: PostgreSQL, Sidekiq, Stimulus.

Go

Compiled language optimized for concurrency and cloud-native services.

Go delivers consistent performance with minimal runtime overhead. We build microservices, CLI tooling, and infrastructure automation that benefit from Go’s simplicity, strong tooling, and effortless containerization.

Common use cases

High-throughput APIs and streaming services.
Cloud-native operators and infrastructure tooling.
Lightweight services deployed to edge or IoT devices.

Often paired with: gRPC, Kubernetes, Prometheus.

Rust

Systems language that combines safety, performance, and modern ergonomics.

Rust’s ownership model eliminates whole classes of runtime bugs while delivering near C performance. We adopt it for edge services, security-sensitive components, and performance-critical workloads needing predictable latency.

Common use cases

High-performance APIs and WebAssembly modules.
Security tooling and cryptography-focused services.
Data processing pipelines with strict latency requirements.

Often paired with: Tokio, Actix, AWS Nitro.

Data & Storage Technologies

Reliable persistence layers and search infrastructure engineered for durability and insight.

PostgreSQL

Open-source relational database with advanced indexing and extension support.

PostgreSQL is our default choice for transactional workloads thanks to its reliability, rich data types, and features like row-level security. We tune query plans, design resilient schemas, and implement HA/DR strategies.

Common use cases

Multi-tenant SaaS applications with strict data isolation.
Analytics workloads leveraging PostGIS, JSONB, and window functions.
Event sourcing with logical replication and CDC pipelines.

Often paired with: TimescaleDB, Hasura, Debezium.

MySQL

Wide-spread relational database optimized for web-scale workloads.

MySQL remains a proven choice for content-driven and commerce platforms. We architect read replicas, optimize indexes, and modernize legacy schemas while ensuring consistent backups and observability.

Common use cases

Headless commerce and CMS applications.
Transactional services with high read/write ratios.
Data warehouses replicated into BI tooling.

Often paired with: Percona Toolkit, Vitess, AWS RDS.

MongoDB

Document database for flexible schemas and rapid iteration.

MongoDB supports agile product teams who need to evolve schemas quickly. We design performant collections, implement shard strategies, and integrate Atlas triggers for event-driven workflows.

Common use cases

Content personalization and session storage.
IoT telemetry ingestion at scale.
Catalogs with denormalized, nested data structures.

Often paired with: Node.js, Realm, Kafka connectors.

Redis

In-memory data store for blazing-fast caching and real-time features.

Redis helps keep user experiences responsive and resilient. We implement distributed caching, pub/sub messaging, and rate limiting patterns that reduce latency and protect downstream services.

Common use cases

Session storage and authentication tokens.
Real-time leaderboards, chat, and collaboration features.
Job queues and background worker coordination.

Often paired with: Sidekiq, Celery, FastAPI.

Elasticsearch

Distributed search and analytics engine built on Apache Lucene.

We build search experiences that delight users and surface insights instantly. From relevance tuning to observability pipelines, Elasticsearch powers our log analytics, product discovery, and anomaly detection solutions.

Common use cases

Ecommerce product search with personalization.
Centralized logging and SIEM workloads.
Customer support knowledge bases with semantic filtering.

Often paired with: Kibana, Logstash, OpenSearch.

Apache Cassandra

Distributed wide-column store engineered for massive scale and availability.

Cassandra powers mission-critical workloads that demand zero downtime. We model data for efficient partitioning, manage multi-region clusters, and integrate analytics pipelines without sacrificing performance.

Common use cases

Time-series storage for IoT and telemetry.
Recommendation engines needing high write throughput.
Global applications requiring always-on availability.

Often paired with: Spark, Kafka, DataStax Astra.

Cloud & DevOps Platforms

Secure, automated infrastructure that keeps releases dependable and operations observable.

Amazon Web Services

Comprehensive cloud platform with global reach and deep service catalog.

Our AWS solutions span serverless, containerized, and hybrid deployments. We design Well-Architected infrastructures, enforce IaC governance, and optimize cost while meeting compliance requirements.

Common use cases

Multi-account landing zones with automated guardrails.
Data platforms leveraging S3, Glue, Redshift, and Lake Formation.
Event-driven architectures built with Lambda and EventBridge.

Often paired with: Terraform, AWS CDK, Datadog.

Microsoft Azure

Cloud services optimized for organizations invested in the Microsoft ecosystem.

We help enterprises modernize workloads on Azure with secure networking, PaaS offerings, and DevOps pipelines. Identity integration with Entra ID and hybrid connectivity enable seamless adoption.

Common use cases

Modernizing .NET and SQL Server estates.
Data analytics stacks built on Synapse and Power BI.
Compliance-driven deployments with Azure Policy and Defender.

Often paired with: Azure DevOps, Bicep, Kubernetes Service.

Google Cloud Platform

Developer-friendly cloud with leading data, AI, and networking capabilities.

GCP is our go-to for analytics-heavy workloads and global delivery. We architect solutions with BigQuery, Cloud Run, and Vertex AI to deliver intelligent experiences with low operational overhead.

Common use cases

Machine learning pipelines orchestrated with Vertex AI.
Containerized workloads deployed via Cloud Run and GKE.
Real-time data processing using Pub/Sub and Dataflow.

Often paired with: Terraform, Cloud Build, Looker.

Docker

Container platform that standardizes build, ship, and run workflows.

We containerize applications to ensure parity across environments and accelerate CI/CD. Our teams craft secure base images, manage multi-stage builds, and integrate containers with orchestrators or serverless platforms.

Common use cases

Microservice deployments across Kubernetes or ECS.
Consistent developer environments via Docker Compose.
Legacy modernization by containerizing monolithic apps.

Often paired with: Kubernetes, GitHub Actions, Harbor.

Kubernetes

Orchestrator for containerized workloads with policy-driven automation.

Kubernetes gives teams a consistent control plane for deploying resilient services. We define GitOps workflows, implement service meshes, and secure clusters with RBAC, network policies, and automated upgrades.

Common use cases

Multi-tenant platforms with self-service deployments.
Event-driven microservices using Knative and KEDA.
Edge and hybrid workloads managed from a single control plane.

Often paired with: Argo CD, Istio, Prometheus.

Jenkins

Extensible automation server for CI/CD across heterogeneous stacks.

We modernize existing Jenkins installations and build new pipelines with declarative syntax, shared libraries, and containerized agents. Security hardening and observability ensure pipelines stay reliable at scale.

Common use cases

Polyglot build pipelines spanning legacy and modern stacks.
Infrastructure automation triggered from Git events.
Compliance workflows requiring approval gates and audits.

Often paired with: Kubernetes, HashiCorp Vault, SonarQube.

GitLab CI/CD

Integrated DevSecOps platform with pipelines, security, and collaboration.

GitLab brings code, issues, pipelines, and security scanning under one roof. We help teams adopt GitLab CI/CD, create reusable templates, and integrate SAST/DAST to shift security left without slowing delivery.

Common use cases

End-to-end DevSecOps workflows with automated compliance.
Immutable infrastructure deployments with GitOps.
Multi-cloud delivery pipelines with shared runners.

Often paired with: Terraform, Kubernetes, GitLab Pages.

Terraform

Infrastructure as Code framework for consistent, repeatable cloud provisioning.

Terraform lets us codify infrastructure across providers with reusable modules and policy controls. We build modular registries, implement drift detection, and integrate CI pipelines that validate infrastructure before deployment.

Common use cases

Multi-cloud landing zones with shared governance.
Self-service environment provisioning for developers.
Disaster recovery blueprints with automated failover.

Often paired with: Terragrunt, Atlantis, AWS/Azure/GCP providers.

Need help choosing the right stack?

Our solution architects can audit your current setup or help chart a modernization roadmap that fits your performance, compliance, and hiring targets.

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