Open Peak Solutions

The tools we build with.

We work across web, backend, cloud, data, and AI. Here is the technology we use most, and how we decide what belongs in your system.

Software engineer working on code at a desktop monitor
Daylit aisle between server racks with a maintenance console
Colleagues discussing a plan at a whiteboard

What we work with

Frontend Engineering

Web interfaces for customer applications and internal tools.

React
Reusable interface components for forms, dashboards, and application screens.
Next.js
Routing and server rendering for React applications.
TypeScript
Type checks across frontend and backend code.

Backend Systems

Application logic, APIs, and connections to other systems.

Node.js
JavaScript and TypeScript services for web applications.
Python
Strong fit for automation, AI pipelines, and data workflows.
REST APIs
Predictable contracts for product and partner integrations.
GraphQL
Flexible querying where client needs vary widely.

Cloud Infrastructure

Application hosting, networking, storage, and container management.

AWS
Broad cloud services for production workloads.
Azure
Cloud hosting and integration with Microsoft identity services.
Docker
Consistent packaging from development through production.
Kubernetes
Orchestration for teams operating containerized systems.

Artificial Intelligence

Document search, drafting tools, and workflows with reviewed AI output.

LLM Integration
Product features powered by large language models.
RAG
Retrieve relevant documents before generating an answer.
AI Agents
Model-driven tasks with limited tool access and defined review steps.
Intelligent Automation
AI-assisted processing for repetitive work.

Databases & Data Engineering

Reliable data stores and caching layers for application performance.

PostgreSQL
Relational storage for application data, reporting, and transactions.
MySQL
Proven relational storage for many business systems.
Redis
Caching and ephemeral state for responsive applications.

DevOps & Automation

Delivery automation that reduces release risk and environment drift.

CI/CD
Automated verification and controlled releases.
GitHub Actions
Pipeline automation close to your source workflow.
Infrastructure Automation
Repeatable provisioning and configuration.

Quality Engineering

Testing and verification practices that protect critical user journeys.

Automated Testing
Unit, integration, and regression coverage where it matters.
API Verification
Contract and behavior checks for service boundaries.
Performance Checks
Targeted validation for latency and load-sensitive paths.

How we choose technology

Fit the existing system

We consider your current systems, team experience, expected usage, and budget before choosing tools.

Built to be maintained

We check support lifecycles, available skills, and upgrade requirements before adding a dependency.

Test the difficult parts

We test expected workloads and integration limits before committing to a design.

Working with an existing stack?

Tell us what you're running, how your team maintains it, and what needs to change.

IT technician operating a workstation beside network equipment