Automate & Scale Complex Workflows Effortlessly with CoRobots
Key Features
Discover innovative features designed to elevate your experience by simplifying tasks and enhancing productivity at all levels.
Discover the Advantages
Unlock powerful capabilities that streamline operations, enhance performance, and drive efficiency for your business success.
Catalog
CoRobots allows different teams to develop individual tasks/jobs to workflow templates independently as part of different projects and then allow sharing it as part of common catalog with specific approvals.
Artifact Management
CoRobots allows users to work with in-browser editors or git repo references to internally build the relevant container images, these images are locally stored and managed.
Workflow Templates & Reusability
Define Workflow templates for repeated use, promoting reusability and consistency across similar workflows, reducing redundancy and simplifies workflow creation for common processes.
Version Management
CoRobots maintains the version history, providing options to fallback to older versions for any specific requirements whilst contributing to new versions of workflow templates and jobs.
Parallelism & Scalability
CoRobots supports highly parallel workflows, allowing large-scale execution of tasks across the Kubernetes Cluster. It scales seamlessly by leveraging Kubernetes inherent ability to manage container workloads and resource allocation
Industry Use Cases

01
Automated Device Monitoring and Maintenance in Data Centers
Problem:Monitoring and maintaining data centre infrastructure involves managing hundreds or thousands of devices, such as servers, switches, storage systems, and firewalls. Manually monitoring device health, performing updates, and addressing faults is time-consuming.

02
Automated Resource Scaling for Critical Workloads in Cloud
Problem:Large scale end-user facing workloads are often resource-intensive and require dynamic scaling of compute, memory, and storage resources in cloud to meet varying demands.

03
Data Preprocessing Automation for AI/ML Pipelines
Problem:AI/ML workflows often require large-scale data preprocessing before feeding it into machine learning models. Automating the extraction, transformation, and loading (ETL) of data reduces time and effort in AI/ML data preparation.
Blogs
Stay updated with insightful articles on the latest industry trends, expert tips, and innovative ideas driving the future of technology

On Cloud Technology: Why Writable Solutions Lead the Future of Work
March 21, 2025
4-Minute Read

Maximizing AI Performance: Why GPU Cloud Solutions are Essential for Sovereign AI
March 19, 2025
5-Minute Read

Sovereign AI and the Role of GPU Clouds in Modern AI Development
March 12, 2025
4-Minute Read

GPT-4.5 Unveiled: What's New and Why It Matters!
March 5, 2025
5-Minute Read

The Future of AI in Sovereign Clouds: Balancing Control and Performance
February 28, 2025
7-Minute Read

GPU as a Service (GPUaas) in 2025: Powering the Next Wave of AI Innovation
February 13, 2025
5-Minute Read

The Intersection of AI Sovereignty and GPU as a Service: Building Secure, Scalable AI Models
February 5, 2025
4-Minute Read

The Pros and Cons of YouTube Automation: What You Need to Know.
January 29, 2025
5-Minute Read

Integrating Webhooks with Popular Services: How to Connect to Slack, GitHub, and More
January 22, 2025
4-Minute Read

A Beginner’s Guide to Jupyter Notebooks: What They Are and How to Use Them
January 15, 2025
4-Minute Read

Comparing AKS, EKS, and CKP: Which Managed Kubernetes Service Is Right for You
January 7, 2025
6-Minute Read

Coredge x Maerifa - Press Release
January 6, 2025
2-Minute Read

Exploring GitOps with ArgoCD: Best Practices for Continuous Deployment
December 31, 2024
4-Minute Read

Implementing CIS Benchmarks in Your Kubernetes Clusters with Rancher
December 24, 2024
4-Minute Read

Security in Cloud-Native Environments: CNCF's Contributions and Tools
December 20, 2024
6-Minute Read

Broadcom’s Edge Computing Solutions: Revolutionizing Uplink Performance for IoT Devices
December 17, 2024
5-Minute Read

The Evolving Role of a Scrum Master in AI-Driven Agile Teams
December 13, 2024
5-Minute Read

Containerization with Docker and Kubernetes: The Dynamic Duo of Modern Tech
December 10, 2024
4-Minute Read

The Importance of Security in Modern Applications
December 6, 2024
6-Minute Read

Unlocking the Power of /portal.php: A Guide to Customization for a Superior User Experience
December 3, 2024
6-Minute Read

LLMOps: Using Large Language Models in DevOps
November 29, 2024
6-Minute Read

GCP vs. AWS vs. Azure: A Cloud Comparison
November 26, 2024
6-Minute Read

Will Sovereign AI Lead to a Fragmented Digital World?
November 25, 2024
6-Minute Read

Why Version Control is the Superpower Behind CI/CD in Cloud Computing
November 22, 2024
5-Minute Read

What Role Does Cloud Computing Play in Edge AI?
November 18, 2024
5-Minute Read

Kubernetes Cluster Management with Rancher: A Comprehensive Guide
November 15, 2024
4-Minute Read

Implementing Continuous Testing with OWASP ZAP: A Guide for Automation Buffs!
November 12, 2024
4-Minute Read

Global Trends in Sovereign Cloud Adoption
November 6, 2024
6-Minute Read

Container Orchestration with Kubernetes: Navigating the Future of App Deployment
November 4, 2024
5-Minute Read

Will Data Centers Become the Bottleneck for Gen AI's Growth? Or, Are We Ready?
November 1, 2024
5-Minute Read

Data is the New Oil: The Fuel for Sovereign AI
October 28, 2024
4-Minute Read

CI/CD Pipelines: A Comprehensive Guide
October 24, 2024
5-Minute Read

Coredge and Qualcomm - Press Release
October 23, 2024
2-Minute Read

The era of AI is here,But are we ready?
October 22, 2024
6-Minute Read

The Rise of Sovereign Cloud: Why it Matters
October 17, 2024
4-Minute Read

How Sovereignty is making AI less "dangerous"?
October 15, 2024
5-Minute Read

The Human Side of Artificial General Intelligence
October 8, 2024
5-Minute Read

Sovereign AI in Smart Cities: Enhancing Urban Living
October 7, 2024
5-Minute Read

The Shift from VMware to OpenStack
September 30, 2024
5-Minute Read