DevOps/MLOps Service

DevOps & MLOps Services | CI/CD, Docker, MLflow, Kubernetes, SageMaker 🚀⚙️

At Pragnakalp Techlabs, we bridge the gap between development and operations with robust DevOps and MLOps solutions—ensuring seamless deployments, faster release cycles, and efficient ML model lifecycle management.

We help businesses automate, monitor, and scale their applications and machine learning pipelines using modern tools and cloud platforms.

DevOps Services

Accelerate your software delivery with infrastructure automation and continuous integration & deployment (CI/CD) pipelines.

Our DevOps expertise includes:

• CI/CD setup using GitHub Actions, GitLab CI, Jenkins, Bitbucket Pipelines

• Infrastructure as Code (IaC) with Terraform and AWS CloudFormation

• Containerization using Docker and orchestration with Kubernetes

• Monitoring & logging using Prometheus, Grafana, ELK Stack

• Cloud deployment on AWS, GCP, Azure, DigitalOcean
  
  

Benefits we deliver:

• Faster release cycles

• Reduced downtime

• Scalable, repeatable deployments

• Improved collaboration between teams
  
  

MLOps Services

Deploy and scale machine learning models with confidence. Our MLOps solutions ensure your ML models move smoothly from development to production—without surprises.

Our MLOps capabilities include:

• Model versioning and experiment tracking with MLflow or Weights & Biases

• Automated training pipelines using Kubeflow, Airflow, or Prefect

• Real-time and batch inference serving using FastAPI, Flask, or TensorFlow Serving

• Model monitoring, retraining, and drift detection

• Integration with cloud services like AWS SageMaker, GCP Vertex AI, Azure ML
  
  

With our MLOps support, you can:

• Ship AI models faster and more reliably

• Track and reproduce experiments

• Monitor performance and accuracy over time

• Automate your full ML lifecycle
  
  

• Expertise in both traditional DevOps & modern MLOps

• Hands-on with cloud-native services & scalable architecture

• Python-first team with deep experience in ML, AI & API dev

• Full-cycle support – from setup to observability and scaling
  
  

Looking to build a scalable DevOps or MLOps pipeline for your software or AI project? 

Let’s talk about how we can help make it rock-solid.