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NudgeBee icon

NudgeBee

A unified, self-hosted platform for Kubernetes and multi-cloud operations: root-cause incident investigation, cost optimization, and automated remediation across AWS, Azure and GCP.

AI-SRE investigates an incident end to end and explains the root cause. It traces a checkout error back to its upstream dependency, cites the metrics and traces it used as evidence, and lists the fixes.
Event triage turns alert noise into a short list. 2,430 raw events collapse into 818 real issues, ranked by priority, with duplicates grouped and each issue scored.
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The no-code automation builder. This on-call escalation runbook messages the primary responder, waits for approval, then escalates to the secondary and the manager if nobody acknowledges.

Cost / License

Platforms

  • Linux  Linux containers only. There is no native Linux package or desktop build.
  • Self-Hosted  Runs in your own Kubernetes cluster. The umbrella Helm chart bundles PostgreSQL, RabbitMQ, Redis, Qdrant and Temporal.
  • Kubernetes  The production install path, via Helm chart. The in-cluster agent is a separate repository, nudgebee/k8s-agent, and both are needed to self-host.
  • Docker  Docker Compose is for local development only. Production installs use the Helm chart.
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Features

Properties

  1.  Privacy focused

Features

  1. Git icon  Git Support
  2.  AES-256 Encryption
  3.  No Tracking
  4.  Ad-free
  5.  Two-factor Authentication
  6.  Command line interface
  7.  Extensible by Plugins/Extensions
  8.  Incident Management
  9.  Kubernetes Monitoring
  10.  Kubernetes

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AlternativeTo Categories

Development, Security & Privacy, Network & Admin, OS & Utilities, Business & Commerce

GitHub repository

  •  396 Stars
  •  263 Forks
  •  71 Open Issues
  •   Updated  
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What is NudgeBee?

NudgeBee is a self-hosted CloudOps platform for teams running Kubernetes, cloud infrastructure on AWS, Azure and GCP, or both. Connect a cloud account, a cluster, or any combination. It plugs into the observability, cloud, ticketing and chat tools a team already uses, builds a live topology map of the estate, and turns a stream of disconnected alerts into a short list of ranked, correlated issues.

Four assistants share one backend:

  • AI-SRE. Investigates incidents to an evidence-cited root cause instead of stopping at a symptom such as CrashLoopBackOff or a 500, and writes the finding back to your incident tool.

  • AI-FinOps. Scores cloud and Kubernetes waste, attaches a dollar figure and the exact fix to every finding, and applies it as a cloud API change, a deployment patch or a pull request.

  • AI-K8sOps. Keeps a current cluster map, collapses per-pod noise into one issue per workload, and gives in-browser pod exec, logs, metrics and traces.

  • AI-CloudOps. Multi-cloud inventory, spend and security findings for AWS, Azure and GCP in one console.

  • Agentic Automation Builder. A no-code runbook engine that turns those fixes into durable workflows triggered by chat, alert or schedule.

Diagnostics run read-only. Every create, update and delete is classified and gated behind explicit human approval, so the platform investigates on its own but does not change infrastructure on its own.

There is no model lock-in. AWS Bedrock, OpenAI, Azure OpenAI, Google AI, Vertex AI, Anthropic, Ollama and vLLM are all supported, including self-hosted endpoints.

Deployed into your own cluster with a Helm chart. Integrates with Prometheus, Grafana, Datadog, New Relic, Dynatrace, Elasticsearch, Loki, SigNoz, Jaeger, Jira, ServiceNow, PagerDuty, GitHub, GitLab, Slack and Microsoft Teams.