K-Atlas (pronounced as "cutlass") is an open-source, distributed graph based platform to automatically collect, discover, explore and relate multi-cluster Kubernetes resources and metadata.

What K-Atlas Does?

K-Atlas addresses following problems in a large scale enterprise environment of Kubernetes.

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Discoverability

Find K8s objects across multiple distributed K8s clusters; Real-time view of discovered objects; Streaming APIs and UI for both programmatic and human interactions.

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Federated Application View

Applications take center stage. K-Atlas provides a unique, application-centric view, with metadata from multiple clusters Single pane of glass view of the entire application - from edge to database, across all clusters, regions etc.

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Advanced Exploration

Identify similarities and differences between objects from pods to clusters; Correlate different objects by performing advanced join operations.

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Reporting

Provide advanced reporting on compliance, security and other organizational policies.

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Policy Enforcement

Rich, extensible query language that allows for advanced queries, joins and views.

K-Atlas Core Components

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Collector

The collector is responsible for discovery of Kubernetes assets in Kubernetes Clusters. For details on the Collector design, please refer to Design Concepts.

K-Atlas Browser

The Web Application exposes UI search capability to search clusters based on several criteria and provide a real time graphical view of entities. For details on usage, please click here to see a demo.

K-Atlas Service

The K-Atlas Service exposes APIs that can be used to get details about Kubernetes entities and run queries to help diagnose issues in Kubernetes clusters. For details, please refer to K-Atlas APIs.

Graph Database

Dgraph is used as the graph database. To know more about our motivation to choose Dgraph, please refer Design Concepts.