Google Cloud Managed Service for Prometheus (GMP)
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A Google Cloud Managed Service for Prometheus (GMP) is a managed Prometheus-compatible monitoring service offered by Google Cloud that enables scalable and highly available monitoring for applications and infrastructure across various environments.
- Context:
- It can (typically) automate the deployment, configuration, and maintenance of Prometheus servers, allowing users to focus on higher-value tasks.
- It can (often) ingest and store large volumes of metrics from sources such as Kubernetes clusters, virtual machine instances, and custom applications, supporting extensive monitoring coverage.
- It can range from providing a Managed Collection model, where GMP handles the deployment and scaling of Prometheus collectors, to a Self-Deployed Collection model, where users manage their own Prometheus servers and use the remote write feature to send metrics to GMP.
- It can integrate with Google Cloud Monitoring for a unified monitoring experience, allowing users to view and analyze metrics within a comprehensive cloud monitoring framework.
- It can support Prometheus-style alerting rules and integrate with various notification channels, including email, Slack, and PagerDuty, for efficient incident response and management.
- It can provide role-based access control (RBAC) to manage access to metrics and configurations securely and efficiently.
- Example(s):
- Counter-Example(s):
- Traditional Prometheus setups where deployment, scaling, and maintenance of Prometheus servers are manually managed by users, which contrasts with the fully managed nature of GMP.
- See: Google Cloud Monitoring, Prometheus, Kubernetes, Prometheus Query Language (PromQL), Scalable Metric Ingestion, Kubernetes Monitoring, Application Monitoring, Infrastructure Monitoring.
References
2024
- Perplexity
- Google Cloud Managed Service for Prometheus (GMP) is a managed Prometheus-compatible monitoring service provided by Google Cloud. It offers a scalable and highly available solution for monitoring applications and infrastructure across various environments using Prometheus technology.
- It can automate the deployment, configuration, and maintenance of Prometheus servers, which simplifies the management burden on users.
- It can ingest and store large volumes of metrics from a wide range of sources, including Kubernetes clusters, virtual machine instances, and custom applications.
- It is compatible with the Prometheus query language (PromQL) and APIs, facilitating the use of existing Prometheus tools and dashboards.
- It can integrate with Google Cloud Monitoring, allowing metrics collected by GMP to be viewed and analyzed within a unified monitoring framework.
- It supports Prometheus-style alerting rules and integrates with various notification channels like email, Slack, and PagerDuty for effective alerting and notifications.
- It provides role-based access control (RBAC) to manage access to metrics and configurations securely and efficiently.
- Use cases include monitoring Kubernetes clusters on Google Kubernetes Engine (GKE), monitoring custom applications, and gathering metrics from various infrastructure components such as virtual machine instances, load balancers, and databases.
- Deployment options include a Managed Collection model where GMP manages the deployment and scaling of Prometheus collectors within Kubernetes clusters, and a Self-Deployed Collection model where users deploy and manage their own Prometheus servers that use the remote write feature to send metrics to GMP's data store.
- Citations:
[1] https://github.com/GoogleCloudPlatform/prometheus-engine [2] https://www.cloudskillsboost.google/focuses/33334?parent=catalog [3] https://www.reddit.com/r/PrometheusMonitoring/comments/xh7g6o/can_google_managed_prometheus_send_metrics_from/ [4] https://cloud.google.com/stackdriver/docs/managed-prometheus/setup-managed [5] https://docs.kubecost.com/v/1.0x/install-and-configure/install/custom-prom/gcp-gmp-integration