Cloud Native Consulting Services

Cloud-native applications are designed to fully leverage cloud capabilities such as microservices, containerization, and serverless computing. At SaqTech, we help businesses develop or refactor applications for cloud-native architecture, enabling faster deployment, scalability, resilience, and cost optimization. Our consulting ensures that your applications are optimized for modern cloud environments while maintaining security, compliance, and operational efficiency.

Service Process

01. Application Assessment

We analyze existing applications for cloud-native readiness, evaluating architecture, dependencies, and scalability.

Our team creates a microservices-based, containerized architecture optimized for cloud deployment.

We build new cloud-native applications or refactor legacy applications using Docker, Kubernetes, and serverless technologies.

We implement monitoring, autoscaling, and continuous integration strategies to ensure performance, reliability, and efficiency.

  • Application Assessment

Why Choose Us?

  • icon Expertise in microservices, containers, and serverless computing.
  • icon Scalable, resilient, and secure cloud-native solutions.
  • icon Reduced costs with optimized resource usage.
  • icon Refactoring of legacy applications to modern cloud architecture.
  • icon Continuous monitoring, optimization, and support.
F.A.Q. – Cloud Native Consulting

Need a Support?

Q. What is a cloud-native application?
A.

A cloud-native application is designed to leverage cloud environments using microservices, containers, and serverless computing for scalability and resilience.

A.

It enables faster deployments, better scalability, improved reliability, and cost-efficient resource usage.

A.

We use Docker, Kubernetes, AWS Lambda, Azure Functions, and GCP serverless services.

A.

Yes — hybrid and integration strategies allow cloud-native apps to interact with legacy infrastructure.

A.

Depending on application complexity, 6–20 weeks with phased development and testing.