Observability Dashboards & Data Integration
Budget: $250 – $750 USD
I need to bring several data sources together, automate their ingestion, and surface the results through clear, reliable dashboards. The immediate priorities are:
• Data integration – pipe logs, metrics, and business data from the existing systems into Splunk, Power BI, and Grafana with minimal latency and full schema integrity.
• Dashboard creation – design and publish interactive, drill-down views that highlight key KPIs for engineering and non-technical stakeholders alike.
Splunk will handle heavy log analytics, Power BI will serve executive-level reporting, while Grafana will visualise real-time metrics. Python scripting is the glue for automation: scheduled ETL jobs, API pulls, and alert routing.
If you’ve previously wired complex data flows into any of these tools and can demonstrate elegant, performant dashboards, let’s get this moving.
• Data integration – pipe logs, metrics, and business data from the existing systems into Splunk, Power BI, and Grafana with minimal latency and full schema integrity.
• Dashboard creation – design and publish interactive, drill-down views that highlight key KPIs for engineering and non-technical stakeholders alike.
Splunk will handle heavy log analytics, Power BI will serve executive-level reporting, while Grafana will visualise real-time metrics. Python scripting is the glue for automation: scheduled ETL jobs, API pulls, and alert routing.
If you’ve previously wired complex data flows into any of these tools and can demonstrate elegant, performant dashboards, let’s get this moving.
Related categories:
Python
Software Architecture
Splunk
Data Visualization
Data Integration
Power BI
ETL
Automation
API Integration