Now open source · Apache 2.0 · Live at KubeCon India

Unified agentic AI platform for day-2 cloud operations

NudgeBee investigates incidents to a cited root cause, cuts cloud and Kubernetes cost with the fix attached, and automates day-2 ops behind a human gate. A knowledge graph and memory of your infrastructure keep answers grounded and LLM costs low.

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AI-SRE Assistant

Investigate alerts to a cited root cause. 90% less triage time, 68% fewer L3 escalations.

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AI-FinOps Assistant

One ranked inbox across AWS, Azure, GCP & Kubernetes. 501 rules, 30-60% savings with the fix attached.

Learn more →
AI-K8s Ops Assistant

Catch pod failures & rightsize clusters. CPU at p99, memory at peak+15%, applied by PR or one-click approval.

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AI-CloudOps Assistant

Detect infrastructure drift and automate day-2 cloud ops. Every change human-gated.

Learn more →
New Automation
Trigger
Webhook
HTTP endpoint trigger
Add Action
Add Node to Automation
Search actions...
Triggers
Triggers are the starting points of an automation.
Tickets
Create, update, and manage incidents and tickets
Kubernetes
Run kubectl commands against your Kubernetes cluster
Integrations
Connect to external services via HTTP or SSH
Core
Control flow: loops, branches, approvals, and sub-automations
aws
AWS
Run AWS CLI commands against your AWS account
Observability
Search logs, query metrics, and explore traces from your monitoring stack
Cryptography
Encode, decode, hash, encrypt, and decrypt data
GitHub Repo
Apache 2.0 Zero telemetry One Helm command
helm install nudgebee oci://ghcr.io/nudgebee/charts/nudgebee

The Bigger Your Cloud Gets, the Harder It Is to Run.Incidents Pile Up.Costs Leak.Day-2 Ops Sprawl.Incidents Pile Up.

As infrastructure grows, so does the operational burden. More signals, more services, more spend, more toil. The tools your team uses today weren't built for what your cloud looks like now.

Alert Fatigue Is the Default

300 alerts fire. Maybe 5 matter. Your on-call spends hours correlating logs, metrics, and traces across services before root cause even surfaces.

See AI triage in action

Your Cloud Is Bleeding Money Every Hour.

Overprovisioned pods. Idle node groups. Abandoned PVCs. CPU requests at 4x actual usage. The waste is real-time. Your optimization isn't.

Cut cloud waste starting today

Kubernetes Grew 3x. Your Team Didn't.

More clusters, more namespaces, more CrashLoopBackOff pods at 2am. Upgrades, deprecation checks. Still running kubectl by hand.

Stop firefighting K8s manually

No Platform for AI Agents. No Framework for Automation.

Building AI agents means managing LLMs, guardrails, and evals. Building automations means stitching scripts and webhooks. So nothing gets built. Everything stays manual.

Deploy your first AI agent

Build or Pre-Built? Get Best of Both!

Production-ready AI assistants for the use cases that matter most. An agentic automation builder for everything unique to your environment.

Ready to Deploy

Pre-built AI Assistants

Purpose-built for cloud ops. Pre-configured with the integrations, runbooks, and context your team already uses. Deploy in days, not months.

AI-SRE Assistant Triage alerts & surface root cause fast Know more →
AI-FinOps Assistant Monitor, optimize & cut cloud spend Know more →
AI-CloudOps Assistant Automate day-2 ops end-to-end Know more →
AI-K8s Assistant Manage clusters without the toil Know more →
Fully Customizable

Build Your Own AI Agents & Automations

Build AI agents for complex decisions. Build automations for repeatable ops. Use 61 pre-wired integrations, human-in-the-loop controls, and full audit trails.

Agentic Automations & RunbooksConditional logic, auto-remediation & approvals
Custom Prompt FunctionsReusable LLM functions with Optimizer & Evals
61 Integrations & Agent LibrarySlack, Jira, PagerDuty & observability tools
Enterprise Guardrails & RBACApprovals, audit trails & human-in-the-loop controls
Know more →

Pre-built AI Assistants for Everyday CloudOps Usecases

From incident triage to cloud cost optimization to Kubernetes ops - pre-trained, pre-integrated, ready in days.

AI-SRE

From Alert to Root Cause in Minutes

The AI-SRE Assistant triages incoming alerts, correlates logs, metrics, and recent deployments, then surfaces the root cause with a suggested fix. Your team reviews and approves - no manual log-diving required.

90% reduction in alert triage time
Automated RCA across services and namespaces
68% fewer L3 escalations
Nudgebee SRE AI-Assistant showing automated incident triage and root cause analysis
AI-FinOps

Turn Cost Recommendations into Real Savings

The AI-FinOps Assistant gives you one ranked inbox across AWS, Azure, GCP, and Kubernetes. 501 recommendation rules are scored by FinOps Score, then turned into rightsizing PRs with the fix attached. Savings happen on an ongoing basis, not once a quarter.

30-60% cloud cost reduction
501 rules scored by FinOps Score
Spend anomaly detection across AWS, Azure, GCP
Nudgebee FinOps AI-Assistant showing cloud cost optimization and rightsizing recommendations
AI-CloudOps

End-to-End CloudOps Automation

The AI-CloudOps Assistant automates day-to-day operations across your cloud infrastructure - from deployment health checks and drift detection to IAM policy management and scheduled cloud operations. Pre-wired with your existing tools, approval gates built-in.

Automated drift detection & remediation
Compliance checks across AWS, Azure & GCP
Automates day-2 operations across AWS, Azure & GCP
Nudgebee CloudOps AI-Assistant showing end-to-end cloud operations automation
AI-K8s Ops

Automate Day-2 K8s Operations Safely

The AI-K8s Ops Assistant handles upgrades, API deprecation checks, Helm verification, and namespace monitoring across EKS, AKS, GKE, and on-prem clusters. Structured automations with approval gates - not ad-hoc scripts.

Safe upgrades with pre-flight API deprecation checks
Helm, quota monitoring & compliance - automated
Structured upgrade automations with pre-flight API deprecation checks
Nudgebee Kubernetes Ops AI-Assistant showing cluster management and upgrade planning

4 AI Assistants. One platform. Zero blind spots.

  • SRE
  • FinOps
  • CloudOps
  • K8s
Get Started

Build Your Own AI Agents/ Automations

Drag-and-drop nodes for Kubernetes, AWS, Azure, Slack, tickets, databases, networking, and more - with conditional logic, human-in-the-loop approvals, and full audit trails.

Ready-to-Use Automation Templates

From P1 incident command to secret hygiene, cost autopilots to deployment guardians - every domain covered out of the box.

+2
War Room Bootstrapper - instant incident response
Instantly sets up a dedicated Slack war room, notifies the right people, and kicks off the response flow.
+1
Webhook Relay - route alerts to any channel
Receives a webhook, formats the message, and delivers it to Slack, email, or any other channel automatically.
+2
Scheduled Report Generator - auto-deliver summaries
Runs on a schedule, fetches data from your APIs and database, and sends a clean summary report to your team.
+1
ArgoCD Sync with Validation - deploy and verify
Triggers an ArgoCD sync, monitors the rollout status, and alerts your team if anything looks off.
K8s Namespace Quota Monitor - catch limits early
Checks resource quota usage across all namespaces and alerts when any namespace is close to its limit.
+2
SSL Certificate Monitor - no more surprise expirations
Runs daily, checks SSL expiry across all your domains, and sends an early warning before any cert expires.
+3
K8s Right-Sizing with Approval - cut waste safely
Generates right-sizing recommendations for your workloads and waits for team approval before applying any change.
+2
Multi-Endpoint Health Check - instant downtime alerts
Runs concurrent health checks across all your HTTP endpoints and notifies your team the moment one fails.
Start building your first automation

What Happens Between the Alert and the Fix

The reasoning layer that connects your alerts to root cause and resolution - combining your service topology, logs, metrics, and incident history.

A context layer, not another chatbot

NudgeBee builds a knowledge graph (61 node types, 37 relationship types, on PostgreSQL, no graph database) and a memory of your infrastructure, so the agent reasons from what it already knows instead of re-reading everything on every request.

  • Grounded root cause instead of guesses
  • Far lower LLM token cost than tools that re-stuff raw context every time
  • Builds institutional memory from every investigation - so recurring issues resolve faster each time

Bring Your Own AI Model (BYOM)

Bring your own model across 9 provider routes, including fully private SageMaker, HuggingFace, and Vertex AI endpoints. No metered AI credits and no per-investigation tax, and the context layer keeps token usage low, so running agentic ops doesn't blow up your model bill.

  • Use your existing vendor contract
  • Run on-prem via Ollama or AWS Bedrock
  • Not trained on your data. Ever.
Enterprise Models
Anthropic
OpenAI
Gemini
DeepSeek
Ollama
Mistral
Open Source Models
Gemma 4
Meta Llama 3 and above
Qwen 3 and above

50+ Pre-Built Cloud Ops Agents

kubectl, Helm, ArgoCD, Prometheus, logs, traces, databases, AWS/Azure/GCP, security, and remediation, plus ~90 registered tools. Use them during incident response for instant diagnosis and remediation, or invoke them as AI Tasks inside your custom automations.

Kubectl Agent
Run kubectl commands on clusters using natural language prompts
Log Analysis Agent
Analyze logs to identify issues and improve performance
Prometheus Agent
Query and analyze metrics - no PromQL expertise needed
Redis Agent
Monitor and interact with Redis keys and performance instantly
ArgoCD Agent
Manage and troubleshoot ArgoCD deployments with natural language
Azure Debug Agent
Debug and diagnose Azure cloud infrastructure issues instantly
Datadog Agent
Query metrics, logs, traces, and incidents across Datadog
ClickHouse Agent
Query and analyze ClickHouse databases using natural language
RabbitMQ Agent
Track queue health and connection status in real time
Traces Agent
Visualize and analyze distributed traces to find bottlenecks fast
Postgres Agent
Optimize queries and monitor db health with a single command
Debugger Agent
Debug Kubernetes clusters with natural language prompts
Ticket Agent
Auto-triage, categorize, and route incident tickets instantly
Code Agent
Generate, review, and debug code directly within your automations
MSSQL Agent
Query and diagnose SQL Server databases with natural language
Oracle Agent
Analyze and optimize Oracle database performance instantly

Integrates Into What You Already Run

Connects to 61 named systems across cloud, 19 observability backends, ticketing, ChatOps, source control, and identity, read in place with no re-instrumentation. It doesn't replace your tools, it makes them do more, and it's extensible to any MCP server. Setup is days, not quarters.

NudgeBee
Supports both Multi-Cloud,
Hybrid Cloud & On-Premise
AWS
EKS EKS Fargate AWS Fargate ECS ECS Lambda AWS Lambda
Azure
AKS AKS Container Apps Container Apps App Service App Service Functions Azure Functions
Google
GKE GKE Cloud Run Cloud Run
On Prem
OpenShift OpenShift Rancher Rancher
Works with Existing Observability & Monitoring Stack
Metrics
Prometheus Prometheus Chronosphere Chronosphere VictoriaMetrics VictoriaMetrics Mimir Mimir
Logs
Loki Loki Logstash Logstash Datadog Datadog Splunk Splunk
Traces
Google Traces Google Traces eBPF eBPF OTel Otel Clickhouse Clickhouse Jaeger Jaeger
Native cloud services
CloudWatch AWS CloudWatch Azure Monitor Azure Monitor GCP Trace GCP Trace GCP Logging GCP cloud logging
Monitoring
Zabbix Zabbix SolarWinds SolarWinds ScienceLogic ScienceLogic Nagios Nagios
Seamlessly Integrates
with Enterprise User Tools
Messaging
Slack Slack MS Teams MS Teams G Chat G chat Email Email
Ticketing
ServiceNow ServiceNow Github Issues Github Issues Jira Jira
Code Repos
Github Github Gitlab Gitlab

EKS, AKS, GKE + on-premises Kubernetes supported. New integrations added regularly.

Request Integration

Your Data Stays in Your Environment

Deploys entirely within your VPC. Logs, metrics, and traces never leave your environment. SOC 2 Type II and ISO 27001 certified.

Security

Enterprise Guardrails

RBAC, MFA, configurable approval gates, and full audit trails on every action. The agent recommends. Your engineer decides.

SOC 2 Type II ISO 27001
Privacy

Zero Data Egress

Queries your tools via API only. Logs, metrics, and traces never leave your environment. Models are never trained on your data.

Infrastructure

Deployment Options

Self-hosted VPC, private cloud, or air-gapped. SaaS also available. Zero external model calls if your policy requires it.

Self-hosted VPC Private Cloud Nudgebee Cloud SaaS
Open Source

Zero Telemetry. Apache 2.0. Auditable.

No phone-home, no product analytics. The privacy claim is auditable because you can read the code. Credentials are encrypted at rest (AES-256-GCM) under a key you hold. One outbound-only agent, zero inbound ports.

Apache 2.0 Zero telemetry AES-256-GCM Zero inbound ports
Frequently Asked

Questions Ops Teams Actually Ask

For your security team, VP of Engineering, and SRE lead.

Book a Demo
NudgeBee is an AI-agentic platform for SRE, DevOps, and Cloud Ops teams with pre-built assistants for incident response, cost optimization, and Kubernetes ops. It doesn't just detect problems - it triages, investigates, and executes fixes through PRs, runbooks, and automations with full enterprise guardrails.
NudgeBee automates alert triage and root cause analysis by correlating logs, metrics, traces, and recent deployments - then recommends or executes fixes via PRs and runbooks. Teams have cut MTTR by 50% and L3 escalations by up to 68%.
Yes - NudgeBee layers on top of what you already run. It integrates with 30+ tools including Prometheus, Grafana, Datadog, Splunk, CloudWatch, Jira, GitHub, and Slack. Most setups are live in days with no changes to existing pipelines.
Both. NudgeBee offers fully self-hosted VPC deployment for strict data residency requirements, and a cloud SaaS option. It's SOC 2 Type II and ISO 27001 certified - models are never trained on customer data.
Datadog tells you something is broken. NudgeBee tells you why and opens a PR with the fix - sitting on top of your existing observability stack. It also adds FinOps and an automation builder for ops automation beyond incident response.
Yes. NudgeBee's FinOps Assistant analyzes real CPU, memory, and storage utilization and executes rightsizing via PRs with approval automations. It flags spend anomalies and abandoned resources across clouds - customers typically achieve 30-60% cost reduction.
Yes. NudgeBee is open source under Apache 2.0, with a free OSS tier and no license key. You can self-host it in your own cluster and read the code.
No. NudgeBee is self-hosted with zero telemetry, and credentials are encrypted at rest with AES-256-GCM under a key you hold. Because the code is open source, you can verify this for yourself.
No. Every change is human-gated. Only read-only investigation runs unattended; any remediation waits for your approval via a PR or one-click gate.
You bring your own model with no metered AI credits, so there's no per-investigation tax. The knowledge graph and memory keep token usage low, so running agentic ops doesn't blow up your model bill.

One Platform.
Every CloudOps Problem.

NudgeBee brings AI-powered automation to incidents, cloud costs, Kubernetes, and custom automations - all in one place.

AI-SRE

Autonomous incident resolution with root-cause analysis and runbook execution.

AI-FinOps

Continuous cloud spend analysis and rightsizing that cuts your bill every month.

AI-K8s

Intelligent pod scaling and cluster health insights with zero manual toil.

Automation Builder

Build custom automations that connect alerts, actions, and teams without code.

Book Your Pilot Start a Free Trial GitHub Repo

Apache 2.0  ·  Zero telemetry  ·  Self-hosted  ·  SOC 2 Type II  ·  ISO 27001

Zero Data Egress Deploys in VPC BYOM