Audience

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

About Radar

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.

Pricing

Starting Price:
$99 per month
Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

API:
Yes, Radar offers API access

Ratings/Reviews

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Company Information

Radar
United States
radarhq.io

Videos and Screen Captures

Radar Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Support
Online

Radar Frequently Asked Questions

Q: What kinds of users and organization types does Radar work with?
Q: What languages does Radar support in their product?
Q: What other applications or services does Radar integrate with?
Q: Does Radar have an API?
Q: What type of training does Radar provide?
Q: Does Radar offer a free trial?
Q: How much does Radar cost?

Radar Product Features

Container Management

Virtualization
Application Development
Build Automation
Deployment Automation
Container Storage
Access Control
Automatic Scaling
Hybrid Deployments
Shared File Systems
Version Control
Network Isolation
Orchestration
File Isolation
Container Health Management