Automate & Scale Complex Workflows Effortlessly with CoRobots
Key Features
Discover innovative features designed to elevate your experience, simplifying tasks and enhancing productivity across 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
The Rise of Sovereign Cloud: Why it Matters
2024-10-17
5-Minute Read
The Future of Computing - CEO Arif Khan's Insights on Edge vs Cloud Adoption
2023-10-30
5-Minute Read
DFlare Wins Digital Transformation Leader of the Year Award
2023-11-27
2-Minute Read
Cloud Orbiter V1.2
2023-10-18
2-Minute Read
The Shift from VMware to OpenStack: Coredge Leads the Way in Cloud Infrastructure Evolution
2024-09-30
6-Minute Read
Cloud Strategies and Edge Computing
2023-11-21
10-Minute Read
The era of AI is here,But are we ready?
2024-10-22
5-Minute Read
How Sovereignty is making AI less "dangerous"?
2024-10-15
5-Minute Read
Container Orchestration with Kubernetes: : Navigating the Future of App Deployment
2024-11-04
5-Minute Read
Will data centers become the bottleneck for Gen AI's growth? Or, are we ready?
2024-11-01
5-Minute Read
CI/CD Pipelines: A Comprehensive Guide
2024-10-24
6-Minute Read
Data is the New Oil: The Fuel for Sovereign AI
2024-10-28
4-Minute Read
Global Trends in Sovereign Cloud Adoption
2024-11-06
6-Minute Read
Sovereign AI in Smart Cities: Enhancing Urban Living
2024-10-07
6-Minute Read
Implementing Continuous Testing with OWASP ZAP
2024-11-12
4-Minute Read
Kubernetes Cluster Management with Rancher
2024-11-15
4-Minute Read
What role does cloud computing play in edge
2024-11-18
5-Minute Read
Why Version Control is the Superpower Behind CI/CD in Cloud Computing
2024-11-22
5-Minute Read
The Human Side of Artificial General Intelligence
2024-10-08
4-Minute Read
Will Sovereign AI Lead to a Fragmented Digital World?
2024-11-25
6-Minute Read
GCP vs. AWS vs. Azure: A Cloud Comparison
2024-11-26
6-Minute Read