prometheus-operator/prometheus-operator
Prometheus Operator
The Prometheus Operator is a Kubernetes monitoring orchestrator and controller that manages Prometheus clusters and observability components through declarative custom resources. It functions as a custom resource controller that translates high-level Kubernetes resource definitions into the configuration files required by the underlying monitoring software.
The project automates the deployment, scaling, and lifecycle of an observability stack, including the integration of components like Thanos and Alertmanager. It distinguishes itself by syncing monitoring targets, alerting rules, and scrape configurations directly via the Kubernetes API to maintain a consistent desired state across the cluster.
The system covers several capability areas, including automated target discovery via label queries, declarative alerting and recording rule management, and the configuration of remote storage endpoints. It also handles infrastructure state management, synthetic endpoint probing, and the synchronization of notification routing and receivers.
Resource correctness is maintained through admission webhooks that validate configuration rules and resource schemes before they are persisted to the cluster.
Features
- Custom Resource Definitions - Manages Prometheus clusters and observability components through the definition and reconciliation of custom Kubernetes resources.
- Monitoring Orchestrators - Provides an orchestration layer that syncs monitoring targets, alerting rules, and scrape configurations via the Kubernetes API.
- Dynamic Scrape Target Discovery - Automatically identifies monitoring endpoints by querying cluster labels to generate scrape configurations.
- Monitoring Cluster Management - Automates the deployment, scaling, and lifecycle of Prometheus monitoring instances within a cluster.
- Custom Resource Mappings - Translates high-level declarative Kubernetes objects into the low-level configuration files required by Prometheus.
- Control Loops - Uses a continuous reconciliation loop to synchronize the current cluster state with desired Prometheus resource definitions.
- Configuration Translation - Translates high-level Kubernetes resource definitions into complex Prometheus configuration files.
- Infrastructure State Management - Uses custom resources to maintain and synchronize the desired state of observability infrastructure.
- Kubernetes Operators - Implements a Kubernetes operator that uses custom resources to manage Prometheus clusters and observability components.
- Monitoring Infrastructure Automation - Automates the installation and lifecycle of monitoring infrastructure within a Kubernetes cluster.
- Observability Stacks - Manages the installation and updates of integrated monitoring suites including Prometheus, Thanos, and Alertmanager.
- Resource State Synchronization - Ensures resource alignment and consistency between the Kubernetes API server and the active Prometheus deployments.
- Pull-Based Metric Scraping - Configures the collection of metrics from pods and external endpoints using automated pull-based scrape targets.
- Scrape Configuration Management - Defines which services to monitor by selecting targets via labels and exposing specific ports.
- Monitoring Infrastructure Automation - Automates the deployment and scaling of Prometheus clusters using custom resource definitions.
- Scrape Configuration Automators - Generates scrape configurations using label queries and service definitions to automate target discovery.
- Observability Stack Deployments - Installs and manages a full observability stack using native resources to simplify cluster setup.
- Prometheus Cluster Management - Deploys and scales monitoring instances within a cluster to reduce operational overhead.
- Configuration Hot-Reloading - Provides mechanisms for updating monitoring settings dynamically without requiring service restarts.
- Resource Validators - Checks custom resources against specific validation schemes to prevent invalid configurations from being applied.
- StatefulSet Lifecycle Management - Orchestrates the deployment and scaling of monitoring instances while handling pod evictions and rollout failures.
- Remote Write Endpoints - Configures secure read and write endpoints for remote storage using identities and authentication protocols.
- Admission Webhooks - Implements admission webhooks to verify the syntax and correctness of monitoring configuration rules before they are persisted.
- Secret-Driven Reloads - Monitors changes to referenced secrets and config maps to trigger seamless refreshes of active monitoring settings.
- Availability Probing - Creates blackbox probes to monitor the availability and responsiveness of network endpoints.
- Configuration Lifecycle Management - Automates the lifecycle of observability components to maintain consistent settings across the cluster.
- Alert Notification Systems - Defines routing, silences, and notification receivers for various communication providers.
- Global Prometheus Querying - Deploys Thanos sidecars and rulers to enable global querying and long-term storage of Prometheus metrics.
- Rule-Based Alerting Engines - Manages monitoring rules through custom resources with built-in validation to ensure correctness.
- Alerting Rule Validators - Intercepts resource requests via a webhook to ensure alerting rules are valid before deployment.
- Declarative Rule Management - Provides declarative management and validation of Prometheus alerting and recording rules via Kubernetes resources.
- Rule File Synchronization - Syncs alerting and recording rule files from declarative resources to apply the correct monitoring logic.
