Sankalpsutra Tech
TECHNOLOGY CAPABILITIES

Technology stacks selected for scalable product delivery

We work with modern backend, frontend, cloud, database, messaging, and AI technologies to build SaaS, AI, messaging, real-time, and cloud-native platforms.

Technology choices follow architecture, not the other way around.

Technology stack board

Architecture-led stack layers

1Frontend
2Backend
3Data
4Messaging
5Cloud
6Observability
.NETReactNext.jsPostgreSQLRedisRabbitMQAzureAWSOpenTelemetry

STACK MAP

Core technology areas we work with

Each area maps to product capabilities and delivery services, not a logo checklist.

  • Backend engineering

    Technology examples

    • .NET
    • Node.js
    • ASP.NET Core APIs

    What we use it for

    Transactional APIs, domain services, and background workers.

    Custom software development

  • Frontend engineering

    Technology examples

    • React
    • Next.js
    • TypeScript

    What we use it for

    SaaS dashboards, marketing sites, and operator workflows.

    Website development

  • Cloud platforms

    Technology examples

    • Azure
    • AWS
    • Container Apps / AKS

    What we use it for

    Hosting, networking, secrets, and environment design.

    Cloud architecture

  • Databases

    Technology examples

    • PostgreSQL
    • Redis
    • MongoDB

    What we use it for

    Transactional models, caches, and tenant-aware data layers.

    Architecture consulting

  • Messaging and queues

    Technology examples

    • RabbitMQ
    • Azure Service Bus
    • Kafka

    What we use it for

    Async workflows, notifications, and integration pipelines.

    Event-driven architecture

  • AI integrations

    Technology examples

    • LLM APIs
    • RAG pipelines
    • Agent workflows

    What we use it for

    AI features with guardrails, not bolt-on chat widgets.

    AI development

  • DevOps and deployment

    Technology examples

    • Docker
    • Kubernetes
    • GitHub Actions

    What we use it for

    CI/CD, environment promotion, and release sequencing.

    DevOps engineering

  • Observability

    Technology examples

    • OpenTelemetry
    • Grafana
    • Structured logging

    What we use it for

    Traces, metrics, and alerts for production platforms.

    DevOps engineering

STACK SELECTION

How we choose the right stack for your platform

We align technology with product stage, team context, and architecture goals during discovery.

Discovery inputs

  • Product stageMVP / growth / enterprise
  • Team skills.NET / React / ops maturity
  • Cloud preferenceAzure / AWS / hybrid
  • Scale requirementTenants / throughput / regions
  • Compliance needsData residency / audit
  • Integration needsPayments / CRM / messaging
  • BudgetPhased investment ranges

Workshop outputs

  • 1

    Recommended architecture

    Service boundaries, async paths, and tenant model.

  • 2

    Recommended stack

    Backend, frontend, data, messaging, and cloud choices.

  • 3

    MVP roadmap

    Prioritized scope and milestone sequence after discovery.

  • 4

    Scale path

    What to defer, what to design in early, and Phase 2 backlog.

TECHNOLOGY GUIDES

Explore technology capabilities

Deep dives on stacks we use in production SaaS and platform delivery.

Additional guides for RabbitMQ, Redis, AWS, and AI integrations are planned. Existing guides are linked below.

PROOF

Technology decisions in real platform architectures

Stack choices from production platforms, not generic vendor lists.

Not sure which technology stack fits your product?

We can review your product workflow, team skills, integrations, cloud preference, budget, and scale needs before recommending the right technology stack.

Explore architecture consulting