I work as a data engineer, and we have many streaming pipelines. We use Chronosphere to monitor various metrics, such as how much data our pipeline is processing in each batch, the volume of incoming data, our consumption rates, and the time to process each batch. Additionally, we set alerts in Chronosphere for situations like job failures or when the number of processed records falls below a certain threshold. We get alerts if the record count drops below our threshold. Sometimes, we face silent failures, where our system appears to be working fine but isn't consuming any data because another system has stopped sending data. Chronosphere helps us detect these cases. Another team member was involved in setting up a framework using Terraform on Chronosphere to monitor our job SLAs. We receive alerts on Slack or via email if any job fails to meet its SLA.
Find out what your peers are saying about Chronosphere, Datadog, Honeycomb.io and others in Application Performance Monitoring (APM) and Observability. Updated: October 2024.
I work as a data engineer, and we have many streaming pipelines. We use Chronosphere to monitor various metrics, such as how much data our pipeline is processing in each batch, the volume of incoming data, our consumption rates, and the time to process each batch. Additionally, we set alerts in Chronosphere for situations like job failures or when the number of processed records falls below a certain threshold. We get alerts if the record count drops below our threshold. Sometimes, we face silent failures, where our system appears to be working fine but isn't consuming any data because another system has stopped sending data. Chronosphere helps us detect these cases. Another team member was involved in setting up a framework using Terraform on Chronosphere to monitor our job SLAs. We receive alerts on Slack or via email if any job fails to meet its SLA.