Skedler is the self-service data monitoring solution that is used to automate delivery of metrics, trends, and anomalies from Elasticsearch, Kibana, and Grafana based log management, SIEM,
Organizations that invest heavily in digital transformation continue to collect a mountain of data. While a new generation of open source tools is helping with the data analysis at scale, the employees are struggling to keep pace with the data.
While working on an elastic stack based remote monitoring and diagnostics application for industrial machines in 2016, Skedler’s founding team realized that even though Kibana dashboards with machine data were readily available, the field service engineers found them difficult to use. They failed to meet the service level agreements(SLA) for the machine uptime resulting in costly penalties. What they needed was a tool that generates daily summaries of existing issues that they can troubleshoot and resolve quickly
Skedler then built the first version of Reports to meet this critical requirement. Skedler Reports automated the daily distribution of open issues and other critical metrics as PDF/XLS reports generated from Elasticsearch-Kibana based remote monitoring dashboards to the field engineers’ email inbox. The daily and weekly reports enabled the field engineers and their manager to quickly identify the machines and locations that needed their immediate attention. More importantly, Skedler Reports enabled the Service organization to meet the mean time between failures (MTBF) and mean time to repair (MTTR) goals thereby avoiding penalties.
Since then, the Skedler team has built-upon this breakthrough product to help users in numerous Fortune 1000 and SMEs meet customer and operational objectives through automation and customized intelligence.
