---
title: "KubeStellar Console Knowledge Base — AI Mission Prompts for Kubernetes Installation, Configuration & Repair"
linkTitle: "Knowledge Base"
weight: 13
description: >
  Browse 400+ AI Mission prompts to install, configure, troubleshoot, and repair CNCF open source projects across multiple Kubernetes clusters. The KubeStellar Console Knowledge Base provides ready-to-use installation missions and solution prompts powered by AI that saves you time and tokens.
keywords:
  - kubernetes knowledge base
  - AI kubernetes installation
  - CNCF project installation guide
  - kubernetes troubleshooting AI
  - multi-cluster deployment automation
  - kubernetes repair automation
  - AI missions kubernetes
  - cloud native installation prompts
---

# KubeStellar Console Knowledge Base

The Knowledge Base is the library behind KubeStellar Console's AI Missions system. It contains **400+ ready-to-use mission prompts** that install, configure, troubleshoot, and repair open source Kubernetes projects across your multi-cluster fleet — all powered by AI that saves you time and tokens.

## Two Types of Mission Prompts

Every mission prompt in the Knowledge Base falls into one of two classes:

### Installation Missions

Installation missions walk you through deploying a CNCF or open source project on one or more clusters. Each installation mission includes:

- **Prerequisites** — What needs to be in place before installing (Helm, specific CRDs, minimum Kubernetes version)
- **Installation steps** — Step-by-step commands with explanations
- **Configuration options** — Common configuration parameters and when to use them
- **Verification** — How to confirm the installation succeeded
- **Uninstall steps** — Clean removal instructions
- **Upgrade path** — How to upgrade to newer versions

**Example: Installing Prometheus across a multi-cluster fleet**

```yaml
Mission: Install Prometheus
Type: install
Difficulty: beginner
Target: All clusters matching label "monitoring=enabled"

Steps:
1. Add the prometheus-community Helm repo
2. Create the monitoring namespace
3. Install kube-prometheus-stack with recommended values
4. Verify Prometheus pods are running
5. Confirm metrics scraping is active
```

The AI executes each step, adapting to your specific cluster configuration. If a step fails, the AI diagnoses the issue and suggests a fix before continuing.

### Solution Missions

Solution missions are troubleshooting and repair prompts. They start from a symptom — "pods crashing", "high latency", "certificate expired" — and guide the AI through diagnosis and repair.

- **Symptom description** — What the problem looks like
- **Diagnostic steps** — Commands to gather information
- **Root cause analysis** — AI interprets the diagnostic output
- **Repair actions** — Specific fixes with approval gates
- **Verification** — Confirm the fix worked
- **Resolution saving** — Save the solution for future reuse

**Example: Repairing certificate expiry across clusters**

```yaml
Mission: Fix Expired TLS Certificates
Type: repair
Difficulty: intermediate
Symptom: Services returning TLS handshake errors

Steps:
1. Scan all clusters for expired certificates
2. Identify which cert-manager issuers are affected
3. Trigger certificate renewal
4. Verify new certificates are propagated
5. Confirm services are healthy
```

## How AI Missions Work

When you run a mission from the Knowledge Base, here's what happens:

1. **You pick a mission** — Browse the Knowledge Base or describe your problem in natural language
2. **AI reads the prompt** — The mission prompt gives the AI context, steps, and expected outcomes
3. **AI adapts to your environment** — The AI checks your actual cluster state (namespaces, versions, resources) and adjusts the steps
4. **Step-by-step execution** — Each step runs with your approval. The AI shows what it will do before doing it
5. **Automatic error recovery** — If a step fails, the AI diagnoses the failure and tries an alternative approach
6. **Resolution saved** — After success, the resolution is saved to your personal or shared Knowledge Base for future reuse

### Multi-Cluster Awareness

Unlike single-cluster tools, every Knowledge Base mission is multi-cluster aware:

- **Cluster selection** — Choose which clusters to target (by name, label, or "all")
- **Parallel execution** — Run the same mission across multiple clusters simultaneously
- **Drift detection** — The AI identifies differences between clusters and adapts
- **Fleet-wide verification** — Confirm results across all targeted clusters, not just one

## CNCF Projects in the Knowledge Base

The Knowledge Base includes installation and solution missions for projects across all CNCF categories. Here's what's currently available:

### Observability & Monitoring

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **Prometheus** | Yes | 12+ troubleshooting prompts | Graduated |
| **Grafana** | Yes | 8+ troubleshooting prompts | — |
| **Jaeger** | Yes | 6+ troubleshooting prompts | Graduated |
| **OpenTelemetry** | Yes | 10+ troubleshooting prompts | Incubating |
| **Fluentd** | Yes | 5+ troubleshooting prompts | Graduated |
| **Thanos** | Yes | 7+ troubleshooting prompts | Incubating |
| **Cortex** | Yes | 4+ troubleshooting prompts | Incubating |
| **Loki** | Yes | 6+ troubleshooting prompts | — |

### Networking & Service Mesh

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **Istio** | Yes | 15+ troubleshooting prompts | Graduated |
| **Envoy** | Yes | 8+ troubleshooting prompts | Graduated |
| **Cilium** | Yes | 10+ troubleshooting prompts | Graduated |
| **Calico** | Yes | 7+ troubleshooting prompts | — |
| **Linkerd** | Yes | 6+ troubleshooting prompts | Graduated |
| **CoreDNS** | Yes | 5+ troubleshooting prompts | Graduated |
| **NATS** | Yes | 4+ troubleshooting prompts | Incubating |

### Security & Policy

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **OPA / Gatekeeper** | Yes | 8+ troubleshooting prompts | Graduated |
| **Falco** | Yes | 6+ troubleshooting prompts | Graduated |
| **cert-manager** | Yes | 10+ troubleshooting prompts | — |
| **Kyverno** | Yes | 7+ troubleshooting prompts | Incubating |
| **Trivy** | Yes | 5+ troubleshooting prompts | — |
| **Vault** | Yes | 8+ troubleshooting prompts | — |

### Storage & Data

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **Longhorn** | Yes | 6+ troubleshooting prompts | Incubating |
| **OpenEBS** | Yes | 5+ troubleshooting prompts | Sandbox |
| **Rook / Ceph** | Yes | 8+ troubleshooting prompts | Graduated |
| **MinIO** | Yes | 4+ troubleshooting prompts | — |
| **Velero** | Yes | 6+ troubleshooting prompts | — |

### Application Delivery & GitOps

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **Argo CD** | Yes | 10+ troubleshooting prompts | Graduated |
| **Flux CD** | Yes | 8+ troubleshooting prompts | Graduated |
| **Helm** | Yes | 12+ troubleshooting prompts | Graduated |
| **Kustomize** | Yes | 5+ troubleshooting prompts | — |
| **Crossplane** | Yes | 7+ troubleshooting prompts | Incubating |

### Runtime & Orchestration

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **containerd** | Yes | 6+ troubleshooting prompts | Graduated |
| **Knative** | Yes | 8+ troubleshooting prompts | Incubating |
| **KEDA** | Yes | 5+ troubleshooting prompts | Graduated |
| **KubeVirt** | Yes | 4+ troubleshooting prompts | Incubating |
| **Volcano** | Yes | 3+ troubleshooting prompts | Incubating |

### Infrastructure & Provisioning

| Project | Install Mission | Solution Missions | Maturity |
|---------|:-:|:-:|----------|
| **Cluster API** | Yes | 6+ troubleshooting prompts | — |
| **Metal3** | Yes | 4+ troubleshooting prompts | — |
| **Tinkerbell** | Yes | 3+ troubleshooting prompts | Sandbox |
| **wasmCloud** | Yes | 3+ troubleshooting prompts | Sandbox |

## Resolution Knowledge Base

Beyond the pre-built missions, the Knowledge Base grows with every problem you solve. The **Resolution Knowledge Base** tracks successful troubleshooting outcomes so you never solve the same problem twice.

### How It Works

1. **Complete a mission** — After the AI successfully repairs an issue, you're prompted to save the resolution
2. **Save with context** — The resolution captures the symptom, diagnostic steps, root cause, and fix
3. **Personal or shared** — Keep resolutions private or share with your organization
4. **Automatic matching** — When a similar problem occurs, the Knowledge Base suggests matching past resolutions
5. **One-click reapply** — Apply a previous resolution to a new occurrence with a single click

### Personal vs Shared Resolutions

| Scope | Who Sees It | Best For |
|-------|-------------|----------|
| **Personal** | Only you | Custom fixes for your specific cluster configurations |
| **Shared** | Everyone in your organization | Common issues that affect the whole team |

Over time, the shared Knowledge Base becomes an institutional memory of how your organization operates Kubernetes — a living runbook that the AI can reference automatically.

## Browsing the Knowledge Base

Open the Mission Browser from the console sidebar or the AI Missions panel.

### Filtering and Search

- **By mission type** — Install, troubleshoot, repair, upgrade, deploy, analyze
- **By CNCF category** — Observability, networking, security, storage, runtime
- **By maturity** — Graduated, incubating, sandbox
- **By difficulty** — Beginner, intermediate, advanced
- **By tags** — Specific technologies, use cases, or symptoms
- **Full-text search** — Search across mission titles, descriptions, and steps

### Mission Sources

Missions come from three sources:

| Source | Description |
|--------|-------------|
| **KubeStellar Community** | Curated missions maintained by the KubeStellar team |
| **GitHub Community** | Missions from GitHub repos tagged with `kubestellar-missions` |
| **Local** | Your own imported or AI-generated missions |

### Deep Linking

Every mission has a permanent URL you can share:

```yaml
https://console.kubestellar.io/missions/install-prometheus
https://console.kubestellar.io/missions/fix-certificate-expiry
```

Share mission links in Slack, documentation, or runbooks to give your team instant access to proven solutions.

## Creating Custom Missions

You can create your own missions and add them to the Knowledge Base:

1. **From natural language** — Describe what you want to accomplish and the AI generates a mission
2. **From a template** — Start from an existing mission and modify it
3. **From YAML/JSON** — Import a mission definition file
4. **From a resolution** — Convert a successful troubleshooting session into a reusable mission

Custom missions follow the same format as community missions and can be shared via the Marketplace or GitHub.

## Why This Saves You Time and Tokens

Traditional Kubernetes troubleshooting means:

1. Google the error message
2. Read 5 Stack Overflow answers
3. Try each suggestion manually
4. Repeat across every affected cluster

With the KubeStellar Console Knowledge Base:

1. AI matches the symptom to a known resolution
2. Executes the fix across all affected clusters in parallel
3. Verifies the fix worked everywhere

**The result:** What used to take hours of manual debugging now takes minutes of AI-guided resolution — across your entire multi-cluster fleet. And because mission prompts are optimized for the AI model, you use fewer tokens per resolution than free-form chat, saving both time and cost.
