We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.
The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team. It would be good if Honeycomb.io could integrate with third-party tools or paid services, which can make it easy for us to alert our teams more frequently.
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Application Performance Monitoring (APM) and Observability help improve the efficiency of applications by providing visibility and insights into system performance.
Application Performance Monitoring and Observability involve tracking and analyzing the performance of applications and infrastructure. APM focuses on detecting and diagnosing performance issues, while Observability emphasizes gaining insight into the internal state of systems. By combining these approaches, IT teams can ensure...
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.
The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team. It would be good if Honeycomb.io could integrate with third-party tools or paid services, which can make it easy for us to alert our teams more frequently.