NeuBird for Kubernetes
Kubernetes root cause analysis, from live cluster state.
The Production Ops Agent, powered by the Agentic Reliability Center (ARC), queries your Kubernetes API server in real time and correlates live cluster state with the metrics, logs and traces you already collect. It isolates root cause in under 5 minutes, at 94% accuracy, and stages the fix for your on-call engineer to approve.
Investigationcheckout-svc
KubePodCrashLooping9:14 AMThe problem
The incident is in the cluster.The context is spread across it.
The on-call engineer runs kubectl one command at a time when a pod starts crash looping, then switches to Grafana, Prometheus and Kibana to correlate what each one shows. Engineers spend 40% of their time on incident management.
PrometheusQueryAlertsStatus- container_memory_working_set_bytes{pod="checkout-svc-7d9f8b6c4-x2kq"}
- kube_pod_container_resource_limits{pod="checkout-svc-7d9f8b6c4-x2kq", resource="memory"}
Live cluster state
NeuBird asks the API server.The cluster answers as it is right now.
The Production Ops Agent connects to your Kubernetes API server with a kubeconfig and queries pods, events, deployments, ReplicaSets, nodes and autoscalers in real time. Kubernetes RBAC decides what it can see, so you can grant NeuBird specific resources in specific namespaces and nothing else. It tests each hypothesis against the cluster itself, queries 15+ sources in parallel, and isolates root cause in under 5 minutes, at 94% accuracy.
Investigationcheckout-svcKubePodCrashLooping9:14 AMkube-apiserverPrevent, Resolve, Operate
Metrics show that something is wrong.The API server records why.
The revision that rolled out, the event the scheduler logged, the selector that stopped matching: the Production Ops Agent reads that state before, during and between incidents, so its answer names the object that changed.
CrashLoopBackOff
OOMKilled · limit 512Mi → 256MiRoll back revision 42.
Pods stuck in Pending
0/18 nodes · untolerated taintA node pool taint blocks scheduling.
503s from healthy pods
endpoints: 0 · selector mismatchA label change broke the Service.
Memory creeping up
468Mi of 512Mi · +6Mi/minFlagged before the first OOMKill.
Autoscaler maxed out
HPA 20/20 · nodes 94% requestedRaise the HPA ceiling and add node capacity before the peak.
Idle capacity
48 vCPU requested · 9 usedRight-size it, attributed to the owning team.
Private clusters
Your API server stays private.The NeuBird Proxy carries the questions.
Most Kubernetes API servers sit on a private network. Deploy the NeuBird Proxy in the same network, and it relays NeuBird's requests to the Kubernetes API and the responses back. With the proxy in place, you can redact the information you choose before anything is sent to NeuBird or the LLM.
kube-apiserverNeuBird Proxy
Production Ops AgentLLMLogs, metrics and traces
Keep your observability stack.NeuBird queries it in place.
Kubernetes logs, metrics and traces keep flowing to Prometheus, Grafana, the ELK stack and the other tools you already run. NeuBird queries each one where the data lives, with zero telemetry storage, and correlates the results with live cluster state in one investigation.
prod-us-east-1Prometheus
Grafana Loki
Elasticsearch
OpenTelemetry
DatadogDeployment
Built on Kubernetes,built for Kubernetes.
The Production Ops Agent and the Agentic Reliability Center run as containers on Kubernetes. Use NeuBird as SaaS, with the NeuBird team managing the deployment lifecycle, or deploy it on-premises or in your own cloud, even on the same cluster as your workloads. NeuBird is deployable in under one hour and SOC 2 Type II certified.
Prod Ops Agentpowered by ARCYoursProxykube-apiworkloadNeuBird manages it
YoursProd Ops Agentpowered by ARCYourskube-apiworkloadYour VPC or datacenter
YoursProd Ops Agentpowered by ARCkube-apiworkloadCluster NetworkBeside your workloads
Models
Use the modelsyour organization approves.
A private NeuBird instance can call a large language model you deploy privately, or specific models from OpenAI, Anthropic, Google and others, to meet your compliance and approval requirements. Model access is governed in one place, and Context Engineering cuts token waste by about 90%.
OpenAI
Anthropic
GoogleRed Hat OpenShift
Running Red Hat OpenShift?NeuBird supports it directly.
Enterprise OpenShift estates get Red Hat specific support for security and governance: NeuBird deploys inside your OpenShift cluster, connects to Red Hat Ansible Automation Platform, and governs every agent that reaches production from one platform.
- Deployed inside your own OpenShift cluster
- Ansible job templates run only when you allow them, through the Red Hat Ansible Certified Collection
- Every agent that reaches production governed from one platform
FAQ
Common questions
What does NeuBird do for Kubernetes?
NeuBird connects the Production Ops Agent, powered by the Agentic Reliability Center (ARC), to your Kubernetes API server. The agent queries pods, events, deployments, ReplicaSets, nodes and autoscalers in real time, correlates live cluster state with the metrics, logs and traces in tools like Prometheus, Grafana and the ELK stack, and isolates root cause in under 5 minutes, at 94% accuracy.
How does NeuBird authenticate to a Kubernetes cluster?
You connect a cluster to NeuBird with a kubeconfig, so its access follows Kubernetes RBAC. Bind the identity in that kubeconfig to a role that grants only the resources and namespaces you choose, such as pods, events and deployments in production namespaces, and NeuBird can query those and nothing else.
How does NeuBird reach a Kubernetes API server on a private network?
Deploy the NeuBird Proxy in the same network as your API server. It relays NeuBird's requests to the Kubernetes API and the responses back, so the API server stays private. With the NeuBird Proxy in place, you can redact the information you choose before anything is sent to NeuBird or the LLM.
Does NeuBird replace Prometheus, Grafana or the ELK stack?
No. Your Kubernetes logs, metrics and traces keep flowing to the tools you already run. NeuBird queries them in place, with zero telemetry storage, and correlates the results with live cluster state from the API server.
Can NeuBird run inside our own Kubernetes cluster?
Yes. NeuBird is built on Kubernetes: the Production Ops Agent and the Agentic Reliability Center run as containers. Use NeuBird as SaaS, with the NeuBird team managing the deployment lifecycle, or deploy it on-premises or in your own cloud, including on the same cluster as your workloads. NeuBird is deployable in under one hour.
Which LLMs can a private NeuBird instance use?
A private NeuBird instance can call a large language model you deploy privately, or specific models from OpenAI, Anthropic, Google and others, so the models it uses meet your compliance and approval requirements.
Can NeuBird change my cluster?
Only as far as the policy you set allows. NeuBird follows a Suggest, Recommend and Act policy dial set per environment. In Recommend, it stages a rollback or patch for one-click approval. In Act, it runs pre-approved remediations within the guardrails you define. Every action is recorded in the audit trail.
How is NeuBird for Kubernetes different from NeuBird for Red Hat OpenShift?
NeuBird works with any conformant Kubernetes cluster. For Red Hat OpenShift and Red Hat Ansible Automation Platform, NeuBird adds Red Hat specific support, including deployment inside your OpenShift cluster and NeuBird's Red Hat Ansible Certified Collection, which decides exactly which job templates NeuBird may run.
NeuBird for Kubernetes
Root cause from live cluster state.
See the Production Ops Agent investigate a Kubernetes incident, from the first alert to the staged fix.