API Design and Development
REST and GraphQL APIs with versioning, documentation and contracts your front-end team can build against.
SKAD IT Solutions has merged with Hexagon IT Solutions.
Back-end Development
Server-side systems that hold up when the traffic arrives.
APIs, services and data layers built by SKAD IT Solutions to be secure, observable and fast under load.
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Clear ownership
Decision rights mapped early
Reviewable delivery
Visible work and release cadence
Maintainable handoff
Documentation built into delivery
Organizations SKAD Has Worked With
What We Do
Microservices and Service Architecture
Service boundaries drawn around business capability, with the operational tooling needed to run them.
Database Design and Optimisation
Schema design, indexing and query tuning so performance holds as data volume grows.
Authentication and Authorisation
Identity, session handling, role-based access and third-party auth integration.
Third-Party Integration
Payment providers, CRMs, ERPs and messaging platforms wired in with retry, idempotency and failure handling.
Scalability and Load Handling
Caching, queuing and horizontal scaling designed against your actual traffic profile.
Why Teams Choose Us
Designed against real load
Capacity assumptions are tested, not assumed.
Observable by default
Logging, tracing and alerting go in during the build, so incidents are diagnosable.
Secure at the boundary
Input validation, access control and secret management are baseline, not hardening tasks.
Tools and Technologies
01
Language
Node.js 
Python 
Java 
Go 
.NET 02
DATA
PostgreSQL 
MySQL 
MongoDB 
Redis 03
Infrastructure
Docker 
Kubernetes 
Terraform 04
Observability
Datadog 
Grafana 
Sentry Frequently Asked Questions
Whatever your team can maintain. If you have no constraint, we recommend based on the workload rather than fashion.
Most products are better served by a well-structured monolith until scale or team size forces a split.
Yes, including extending it, versioning it and gradually replacing it.
Yes, including zero-downtime migration strategies on live systems.
Measure first. We profile before changing anything, because the bottleneck is rarely where people expect.