Results for “dashboards”

Use when learning, designing, or explaining Salesforce Reports and Dashboards from first principles — report types, custom report types, groupings, bucket fields, summary formulas, charts, dashboard components, dynamic dashboards, report subscriptions, and folder permissions. Triggers: 'how do I build a report', 'what report type should I use', 'set up a dashboard', 'joined report limits', 'bucket field vs formula', 'dynamic dashboard running user'. NOT for CRM Analytics (use crm-analytics-* skills). NOT for Einstein Discovery predictive analytics. NOT for troubleshooting missing report data caused by sharing model issues (use admin/reports-and-dashboards for that).

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Design and build Axiom dashboards from logs or metrics, the numerical measurements of system behavior. Create charts, filters, and layouts for monitoring and reporting, or migrate existing Splunk and Grafana panels while validating queries against available data.

• Build a service health monitoring dashboard
• Create interactive filters for investigating logs
• Migrate dashboards from Splunk or Grafana

Use when building Grafana dashboards backed by Prometheus, Loki, or Tempo, designing PromQL/LogQL queries, wiring template variables, setting alert rules, building SLO dashboards, or maintaining dashboards as code. Triggers: rate() vs increase() confusion, irate vs rate, label_replace, recording rules, alerting rule expressions, multi-dimensional template variables, ad-hoc filters, dashboard JSON model, provisioning via Terraform/grafonnet, p99 / histogram_quantile usage. NOT for Datadog/New Relic dashboards (vendor-specific), Grafana plugin development, or Loki ingestion pipeline tuning.

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Build Grafana dashboards that show application and infrastructure health through request rates, errors, response times, and resource usage. Organize metrics into useful panels, add filters and alerts, and manage dashboard definitions as code.

• Build an API health dashboard
• Visualize CPU and memory usage
• Track service level objectives and business KPIs

Install and configure OpenSearch for storing, searching, and analyzing KubeSphere logs, events, audit records, and notification history. Adjust storage and memory, enable a visualization interface, and manage scheduled cleanup of old search indexes.

• Preparing storage for logs and event history
• Enabling OpenSearch Dashboards
• Adjusting storage capacity and memory

Create production-ready Grafana dashboards with reusable panels, template variables, annotations, and provisioning for version-controlled dashboard deployment. Use when creating visual representations of Prometheus, Loki, or other data source metrics, building operational dashboards for SRE teams, migrating from manual dashboard creation to version-controlled provisioning, or establishing executive-level SLO compliance reporting.

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Use when building, auditing, or troubleshooting Salesforce Reports and Dashboards. Triggers: 'report', 'dashboard', 'missing data in report', 'pipeline report', 'cross-filter', 'report subscription', 'dashboard refresh', 'report-meta.xml', 'dashboard running user', 'report folder sharing', 'package.xml report wildcard'. NOT for choosing a report type, bucket fields, summary formulas or joined-report limits — use admin/reports-and-dashboards-fundamentals. NOT for Einstein Analytics / CRM Analytics — use admin/einstein-analytics-basics.

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Measure and improve delays in realtime dashboards, data feeds, queues, and caches. Track response times, data age, and waiting work separately, then verify that changes improve the actual behavior of a deployed system.

• Investigating delays in realtime dashboards
• Checking whether streamed data is still fresh
• Reducing queue backlogs

Track machine learning experiments in W&B, record training settings and metrics, and compare results in dashboards. Automate searches for training settings and keep version histories for models and datasets.

• Comparing accuracy across training runs
• Monitoring training progress in dashboards
• Searching for better training settings

Build charts and interactive data visualizations with D3.js, a JavaScript library for drawing data graphics. Examples across chart types support reports, dashboards, explanatory graphics, and prototypes that let readers explore data.

• Exploring sales data with a zoomable treemap
• Showing relationships in a force-directed network graph
• Displaying daily patterns in a calendar heatmap

Investigate production issues by searching Datadog logs, querying metrics, and following request traces across services. Compare error counts across time periods, inspect surrounding logs, and manage dashboards through a command-line tool.

• Investigating errors in production
• Comparing error counts across time periods
• Following request traces across services

Create, inspect, and update Excel workbooks, including CSV imports, formulas, charts, and pivot tables that summarize data. Build budgets, dashboards, or trackers with readable formatting, input validation, and checks for formula errors.

• Converting CSV or TSV data into formatted Excel workbooks
• Building budgets and forecasts with adjustable assumptions
• Creating dashboards with charts and pivot tables

Define product KPIs, design dashboards, and analyze retention, feature adoption, and conversion. Choose metrics suited to each product stage, compare groups of users over time, and turn meaningful changes into concrete product actions.

• Choosing KPIs for each product stage
• Designing dashboards for different audiences
• Comparing retention across signup groups

Query Prometheus metrics through Grafana and manage dashboards as JSON files. Use it to investigate current values and trends, add or adjust panels, and preview dashboard updates before applying them.

• Investigating error rates and response times
• Adding panels to a Grafana dashboard
• Managing dashboard configuration as JSON

Assess how changes, failures, or paused updates to a BigQuery table or view affect downstream assets. Trace data lineage, the relationships showing where data flows, and summarize dependent tables, dashboards, and processes with direct and indirect impacts.

• Assess downstream effects of a table failure
• Check dependencies before changing or deleting a view
• Evaluate the impact of pausing data updates

Design service monitoring with Prometheus, write PromQL queries to analyze metrics, and build Grafana dashboards. Configure actionable alerts and manage metric labels so monitoring stays useful as the volume of collected data grows.

• Monitor service latency, traffic, and errors
• Review PromQL queries and precomputed metrics
• Group related alerts and filter brief spikes

Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.

• Set up application dashboards and alerts
• Investigate production issues using logs, metrics, and traces
• Run load tests before traffic increases

Analyze Axiom data ingestion and query usage to identify unused columns and field values. Build cost dashboards and spike monitors, then summarize recommendations for dropping or sampling data with estimated savings.

• Find unused data that contributes to Axiom costs
• Track ingestion trends and projected spending
• Set up alerts for ingestion and query cost spikes

Analyze product usage in PostHog and manage experiments, dashboards, surveys, and feature flags, which control feature availability. Use connected tools to investigate user behavior and errors, run queries, and summarize findings with numbers and links.

• Analyze conversion funnels and user retention
• Manage feature rollouts and A/B tests
• Investigate errors and review session recordings

Create, update, and analyze Mixpanel dashboards using live report data. Summarize trends and relationships across metrics, adjust report layouts, and add text cards that explain findings alongside the charts.

• Understand metrics and trends in an existing dashboard
• Build a dashboard for product health monitoring
• Rearrange reports and add missing metrics

Design live monitoring dashboards with clear priorities, linked charts, and predictable update behavior. Covers mobile interactions, connection failures, and rendering performance so users can scan current conditions, spot anomalies, and explore details as data changes.

• Design an operations dashboard using a WebSocket feed
• Improve charts receiving frequent data updates
• Plan linked chart selections and filters

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

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Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

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Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.

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