SigNoz
Open Telemetry
NewRelic
Datadog
Grafana
Prometheus
Zabbix
Zipkin
Cortex Project
Thanos.io
Prometheus
IRONdb
VictoriaMetrics
Open Telemetry
TimescaleDB
InfluxData
SigNoz is an open-source observability tool that helps you monitor your applications and troubleshoot problems. It provides traces, metrics, and logs under a single pane of glass.
With SigNoz, you can do the following:
Cortex ProjectBased on our record, SigNoz seems to be a lot more popular than Cortex Project. While we know about 87 links to SigNoz, we've tracked only 4 mentions of Cortex Project. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You should also check out SigNoz [1], we are an open-core alternative to DataDog - based natively on OpenTelemetry. We also have a cloud product if you don't want to host yourself [1] https://signoz.io. - Source: Hacker News / about 2 months ago
SigNoz is a great New Relic alternative that is open-source and provides three signals in a single pane of glass. You can monitor logs, metrics, and traces and correlate signals for better insights into application performance. - Source: dev.to / 5 months ago
You need a backend to which you can send the collected data for monitoring and visualization. SigNoz is an OpenTelemetry-native APM that is well-suited for visualizing OpenTelemetry data. - Source: dev.to / 6 months ago
Once the data is collected, it needs to be sent to a backend. That’s where SigNoz comes into the picture. SigNoz is an open-source OpenTelemetry-native APM that provides logs, metrics and traces under a single pane of glass. - Source: dev.to / 6 months ago
API furnishes connection information, covering aspects like state, heartbeat, publish rate, subscription rate, and whatnot. However, it's the user's responsibility to establish alerting mechanisms for tracking rising connection numbers and identifying connection failures. A centralized monitoring tool like SigNoz can help you set up alerts on critical RabbitMQ metrics. - Source: dev.to / 7 months ago
Now if its more metric data you are using and want to do APM, prometheus is your man https://prometheus.io/, want to make prometheus your full time job? Deploy cortex https://cortexmetrics.io/, honorable mention in the metrics space, Zabbix, https://www.zabbix.com/ I've seen use cases of zabbix going way beyond its intended use its a fantastic tool. Source: 11 months ago
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long. Source: 11 months ago
You can use the Remote write feature to send to a centralized location. It would have to be scalable like Cortex https://cortexmetrics.io/. Source: over 1 year ago
For a homelab I think prometheus + grafana is easy to get started and scales well. There are lots of ways to set up the architecture. Prometheus can write to a directory on a filesystem, it can be set to write to a remote server, and there are other projects to integrate object storage (s3, minio, etc) or influxdb for long term storage and downsampling. Source: almost 2 years ago
Open Telemetry - An observability framework for cloud-native software.
Thanos.io - Open source, highly available Prometheus setup with long term storage capabilities.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Prometheus - An open-source systems monitoring and alerting toolkit.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
IRONdb - Circonus delivers Machine Data Intelligence for the most demanding use cases. Collect, store, manage, and analyze IoT and monitoring data at unprecedented volume and frequency.