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      Monitoring in Zetaris: Prometheus, Grafana, and Datadog

      Zetaris supports robust monitoring of infrastructure and applications through a combination of Prometheus, Grafana, and Datadog.

      • Prometheus provides metrics collection and storage.

      • Grafana enables visualization and dashboarding.

      • Datadog is available as a SaaS option for organizations preferring managed monitoring and analytics.

      Depending on the deployment model (client environment vs SaaS), different monitoring stacks are applied.

       

      Components

      Prometheus – Metrics Collection & Storage

      • Purpose: Collects, stores, and queries time-series metrics from Zetaris components, Kubernetes clusters, and services.

      • Key Features:

        • Time-series database optimized for metrics.

        • Pull-based model to scrape metrics from exporters (e.g., node, application, Kubernetes).

        • Native integration with Kubernetes for service discovery.

      • Deployment: Installed as a Helm chart on the Kubernetes cluster hosting Zetaris services.

      Grafana – Visualization & Dashboards

      • Purpose: Provides interactive dashboards and visualization for Prometheus metrics.

      • Key Features:

        • Pre-configured dashboards for cluster health, service uptime, and performance metrics.

        • Alerting rules (integrated with email, Slack, PagerDuty, etc.).

        • Extensible with plugins and other data sources.

      • Deployment: Installed as a Helm chart on the Kubernetes cluster, connecting directly to Prometheus.

      Datadog – SaaS Monitoring (Optional)

      • Purpose: Cloud-hosted monitoring and observability platform.

      • Use Case: For clients who prefer a fully managed solution without maintaining Prometheus/Grafana infrastructure.

      • Capabilities:

        • Out-of-the-box integrations with Kubernetes, cloud providers, and Zetaris services.

        • Dashboards, logs, metrics, and distributed tracing under a single SaaS platform.

        • Requires enabling Datadog agents within the client environment.

      Deployment Models

      1. Client Environments

        • Prometheus collects metrics.

        • Grafana visualizes metrics.

        • Both deployed using Helm charts on the client’s Kubernetes cluster.

      2. Zetaris SaaS (Datadog)

        • Zetaris-managed Datadog instance.

        • Provides centralized monitoring, dashboards, and alerting for client workloads.

        • Reduces operational overhead of managing Prometheus and Grafana.

      How It Works Together

      1. Metrics Collection

      • Prometheus scrapes metrics from Zetaris services running on Kubernetes (e.g., system health, performance, usage).

      • These metrics are stored in its time-series database for querying and analysis.

       2. Visualization & Dashboards

      • Grafana connects to Prometheus as a data source.

      • Metrics are displayed in interactive dashboards for real-time monitoring of clusters, services, and workloads.

       3. Alerting & Notifications

      • Alerts can be defined either in Prometheus or Grafana.

      • Notifications can be sent to Slack, email, PagerDuty, or integrated into Datadog pipelines.

      4. SaaS Option with Datadog

        • In SaaS deployments, Datadog can replace Prometheus + Grafana with a fully managed monitoring solution.

        • Provides end-to-end observability (metrics, logs, traces) without requiring clients to manage infrastructure.