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About

Radar is an open source Kubernetes visibility and observability tool designed to simplify how developers and DevOps teams interact with their clusters by providing a fast, unified interface for monitoring resources, events, and system behavior in real time. It runs as a lightweight single binary that can be executed locally or deployed inside a cluster, requiring no agents, cloud accounts, or additional infrastructure, and ensuring that all data stays within the user’s environment. It aggregates critical Kubernetes information, such as topology, workloads, Helm releases, GitOps resources, traffic flows, and event timelines, into a single visual dashboard, allowing users to quickly understand relationships between components like deployments, services, and pods. It provides real-time updates directly from the Kubernetes API using watch-based mechanisms, enabling instant visibility into changes such as crashes, scaling events, or configuration updates without polling.

About

dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

DevOps engineers and platform teams who need a fast, local-first interface to visualize, debug, and manage Kubernetes clusters in real time

Audience

Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$99 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Radar
United States
radarhq.io

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

Helm

Helm

The Linux Foundation
k0rdent

k0rdent

Mirantis

Categories

Categories

Integrations

Google Cloud Platform
Amazon Web Services (AWS)
GitHub
Helm
Kubernetes
Microsoft Azure
Model Context Protocol (MCP)
Python
Slack

Integrations

Google Cloud Platform
Amazon Web Services (AWS)
GitHub
Helm
Kubernetes
Microsoft Azure
Model Context Protocol (MCP)
Python
Slack
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