Business Dashboards
Business Dashboards provide high-level visibility into containerized application performance from a business-centric perspective, focusing on KPIs, service health, cost efficiency, and impact on end-user experience.
Key Features of Business Dashboards
Business-Relevant Metrics: Track metrics like service uptime, error rates, latency, and SLAs that align with business goals.
Custom Visualizations: Use charts, graphs, and widgets to represent data in a way that non-technical stakeholders can easily understand.
Application and Service Mapping: Map container-level infrastructure (pods, nodes, services) to business services and critical application components.
Cost and Resource Optimization: Monitor how container usage affects cloud spending, resource utilization, and scalability, helping drive cost-saving decisions.
User-Defined Dashboards: Teams can create custom dashboards to track KPIs relevant to specific applications, departments, or service owners.
Types of Business Dashboards
The following are the types of business dashboards:
Victoria Metrics Dashboards
Ingestor Dashboard
Victoria Metrics Dashboard
The Victoria Metrics Dashboard in Virtana displays performance and infrastructure metrics collected and stored by VictoriaMetrics, enabling users to monitor system behavior over time. The Victoria Metrics Dashboard in Virtana provides a deep, real-time observability view into Kubernetes and container environments. It captures metrics across networking, compute, storage, and application layers using VictoriaMetrics, enabling teams to monitor, debug, and optimize their container infrastructure effectively.
The Victoria Metrics Dashboard is crucial for:
Proactive infrastructure monitoring.
Root cause analysis during outages or degradations.
Resource optimization across CPU, memory, and disk.
Alerting thresholds for critical KPIs.
Tracking service health and performance consistency.
Ingestor Dashboard
The Ingestor Dashboard is a specialized dashboard that monitors and visualizes the data ingestion pipeline responsible for collecting and forwarding telemetry (metrics, logs, events) into the system, typically into time-series databases like VictoriaMetrics. The Ingestor Dashboard module offers real-time visibility into the ingestion pipeline, helping DevOps, SREs, and Platform Engineers ensure that telemetry data flows smoothly and reliably into the observability stack. It plays a critical role in maintaining data accuracy, completeness, and system performance.
The Ingestor is a core backend component in Virtana that:
Receives raw metrics from containerized environments (like Kubernetes).
Parses, filters, and enriches data.
Pushes this data into storage (e.g., VictoriaMetrics) for analysis and visualization.
