mission-control-overview
High-level guide to Flanksource Mission Control — an Internal Developer Platform for Kubernetes. Use when users ask what Mission Control is, available CRDs, and quick-start actions (scrapers, scrape plugins, health checks, notifications, silences, playbooks, views, and connections).
What this skill does
# Flanksource Mission Control — Overview Skill > **MANDATORY FIRST STEP — DO THIS BEFORE ANYTHING ELSE** > > Fetch and read **<https://flanksource.com/llms.txt>** right now. > This is a sitemap of every concept, feature, and reference page in Mission Control. > Reading it gives you a complete picture of what is available so you can answer accurately. > **Do not skip this step. Do not answer before reading it.** ## What Is Mission Control? Flanksource Mission Control is an Internal Developer Platform that helps teams improve developer productivity and operational resilience. With Mission Control you can: - [Catalog](https://flanksource.com/docs/guide/config-db) and track changes on infrastructure, applications and configuration. - [Empower Developers](https://flanksource.com/docs/guide/playbooks) with self-service playbooks for Day 0-2 operations. - [Run Health Checks](https://flanksource.com/docs/guide/canary-checker) across both cloud-native and legacy infrastructure and applications. - [Incrementally Adopt GitOps](https://flanksource.com/docs/guide/playbooks/actions/gitops) with playbooks that perform Git commits in the background. - Aggregate Alerts from [Prometheus](https://flanksource.com/docs/guide/canary-checker/reference/alert-manager), [Cloudwatch](https://flanksource.com/docs/guide/canary-checker/reference/aws-cloudwatch), etc. - [Build Event Driven Control Planes](https://flanksource.com/docs/guide/playbooks/actions/gitops) with a combination of webhooks, events and GitOps. - [Notify People and Systems](https://flanksource.com/docs/guide/notifications) about changes in health and configuration. Mission Control itself adds orchestration, automation, and a web UI on top of these engines via its own CRDs: | CRD | Purpose | | --------------------- | --------------------------------------------------------------------------------------- | | `Playbook` | Multi-step runbook automation (exec, gitops, http, github, notification, SQL, logs, AI) | | `Notification` | Alert routing to Slack, email, Teams, webhooks, playbooks, and more | | `NotificationSilence` | Suppress notifications by resource selector, time window, and CEL filter | | `Connection` | Centralized credential & endpoint management (AWS, GCP, Azure, Git, Slack, SMTP, etc.) | | `View` | Custom dashboards with SQL/catalog/config queries, panels, and table layouts | | `Application` | Logical grouping of resources with environments, roles, and access reviews | | `Scope` | Resource-scoped access control boundaries | | `Permission` | Fine-grained access control (RBAC + ABAC) | | `Team` | User groups for access control and notification routing | ## Mission Control Registry The **[mission-control-registry](https://github.com/flanksource/mission-control-registry)** provides ready-made Helm charts for common integrations: | Chart | What it sets up | | ---------------------- | --------------------------------------------------------------------------- | | `mission-control` | Core Mission Control deployment (PostgreSQL, Redis) | | `kubernetes` | Kubernetes cluster scraping | | `kubernetes-view` | Pre-built Kubernetes dashboard views | | `aws` | AWS resource scraping | | `azure` | Azure resource scraping | | `gcp` | Google Cloud resource scraping | | `flux` | Flux GitOps integration | | `argocd` | ArgoCD integration | | `prometheus` | Prometheus integration | | `playbooks-kubernetes` | Kubernetes automation playbooks (scale, restart, drain, logs, delete, etc.) | | `misc-playbooks` | Miscellaneous Playbooks | | `playbooks-flux` | Flux GitOps playbooks (reconcile, suspend/resume) | | `playbooks-ai` | AI-powered troubleshooting playbooks | | `mongo-atlas` | MongoDB Atlas monitoring | | `postgres` | PostgreSQL monitoring | | `mssql` | SQL Server monitoring | | `helm` | Helm release monitoring | Use these registry charts to understand and enable integrations in an existing Mission Control setup. ## Core Features ### 1. Catalog (config-db) A JSON-based CMDB that scrapes and tracks configuration from multiple sources. **Scraper types (high level):** Kubernetes, Kubernetes File, AWS, Azure, GCP, GitHub, Azure DevOps, HTTP, File, Exec, SQL (Postgres/MSSQL/ClickHouse), Logs, PubSub, Slack, Trivy, Terraform **Key capabilities:** - Full config JSON stored and searchable - Change tracking with JSON patches and diff - Health status derivation from config state - Parent/child relationships and dependency graphs - Cost tracking per resource - Insights ingestion (security, cost, reliability, compliance) - Access log/audit ingestion for external users - Labels and tags for filtering **CRDs:** `ScrapeConfig`, `ScrapePlugin` (`configs.flanksource.com/v1`) **ScrapePlugin capabilities:** - Global change exclusion and change-type mapping - Global retention policies for config items and changes - Relationship and property enrichment shared across scrapers ### 2. Health Checks (canary-checker) Kubernetes-native health monitoring with 35+ built-in check types. **Check categories:** - **Protocol:** HTTP, DNS, ICMP, TCP - **Data sources:** PostgreSQL, MySQL, MSSQL, MongoDB, Redis, Elasticsearch, LDAP, Prometheus - **Alerts:** Prometheus AlertManager, AWS CloudWatch, Dynatrace - **Integration testing:** JUnit, JMeter, K6, Newman, Playwright - **File systems:** Local, S3, GCS, SFTP, SMB - **Infrastructure:** EC2, Kubernetes Pod/Ingress, S3 protocol - **Config:** AWS Config, AWS Config Rule, Catalog query, Kubernetes resources - **Backups:** GCP databases, Restic **Key capabilities:** - Scriptable with CEL, JavaScript, Go templates - Transform responses into multiple sub-checks (fan-out) - Custom Prometheus metrics export - JUnit import/export for CI/CD - Secret management via K8s secrets **CRD:** `Canary` (`canaries.flanksource.com/v1`) ### 3. Playbooks Multi-step automation runbooks triggered manually, on events, on webhooks, or on schedule. **Action types:** - `exec` — run shell commands (on agent or in pods) - `http` — make HTTP requests - `sql` — execute SQL queries - `gitops` — create commits, branches, PRs (GitHub, GitLab, Azure DevOps) - `github` — trigger GitHub Actions workflows - `azureDevopsPipeline` — trigger Azure DevOps pipelines - `notification` — send notifications - `pod` — create and manage pods - `logs` — query logs (Loki, CloudWatch, OpenSearch, Kubernetes) - `ai` — invoke LLM analysis **Key capabilities:** - Parameters with types (text, checkbox, code, config, people, team, duration, list, etc.) - Approval workflows - Event-driven triggers (config changes, health failures, etc.) - Webhook triggers - Resource selectors to
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