DevOps & MLOps for Fast Delivery
We design and build scalable, automated infrastructures and ML pipelines customized to meet your unique needs.
OPEN SOURCE DEVOPS / MLOPS
Automation that scales with
your business
Delivered 20+ DevOps/MLOps projects with CI/CD, monitoring & ML deployment.
We use open-source tech for fast releases and transparent infrastructure.
20+
DevOps/MLOps done
500+
Monthly deployments
99.9%
Uptime achieved
TOOLS & TECHNOLOGIES
Tech for Growth
We use a battle-tested stack to ensure scalability, automation, and fast delivery.
Automation
Jenkins, GitHub Actions, Argo Workflows.
Containers
Docker, Podman, Containerd.
Infrastructure
Terraform, Pulumi, AWS CDK.
Monitoring
Prometheus, Grafana, Loki.
ML Pipelines
MLflow, Kubeflow, Metaflow.
Model Ops
Seldon, BentoML, TFX.
WHAT WE DO
From CI/CD to ML Deployment
Our team handles full-cycle automation: from infrastructure and pipelines to scalable AI operations.
DevOps Services
CI/CD automation and infrastructure setup for seamless integration, continuous delivery, and scalable, reliable deployment of projects.
MLOps Solutions
Building ML pipelines with robust data validation, efficient model training, and fast, scalable inference for real-world applications.
Cloud Architecture
Deploying and managing scalable applications using Kubernetes across AWS and Azure, ensuring high availability, performance, and resilience.
Observability
Monitoring and observability with Grafana, Prometheus, and the Elastic Stack to ensure system health, performance, and fast issue detection.
SERVICES OVERVIEW
Deep Expertise in Modern Engineering Services
Our services span DevOps, MLOps, cloud architecture, and observability — helping teams scale with confidence.
MLOps
ML pipeline orchestration
Model deployment automation
Data
validation and model versioning
Cloud & Scaling
AWS and Azure cloud architecture
Kubernetes deployment
Auto-scaling
and fault-tolerant systems
CERTIFICATES
We are constantly improving our skills
Infra for AI & Dev
At Manulix, we help teams monitor ML systems, catch data issues early, and ensure production-grade performance.
FREQUENTLY ASKED QUESTIONS
All you need to know about our DevOps & MLOps services
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DevOps automates software development and deployment. MLOps applies these practices to machine learning workflows.
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AWS and Azure.
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Yes, from setup to monitoring and support.
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Both. We scale our services based on project needs.
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Discovery → Audit → Planning → Implementation → Support.