Scalability
Cortex is designed for high scalability, allowing it to handle extremely large volumes of metrics. It uses a distributed architecture that can scale horizontally by adding more nodes.
High Availability
Cortex supports replication and redundancy, which ensure high availability of metric data. This means that even if some components fail, Cortex can continue to operate without data loss.
Multi-Tenancy
The platform supports multi-tenancy, making it a good choice for organizations that need to manage and isolate metrics for different users or teams within the same infrastructure.
Compatibility with Prometheus
Cortex is fully compatible with Prometheus, using the same querying language and client libraries. This allows for easy integration and migration from a Prometheus setup.
Long-Term Storage
Unlike Prometheus, which is optimized for short-term storage, Cortex provides capabilities for long-term storage of metrics, useful for historical analysis and audits.
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Cortex is a horizontally scalable, highly available, multi-tenant prometheus alternative. - Source: dev.to / almost 2 years ago
There are many Projects like Thanos, M3, Cortex, and Victoriametrics. But Thanos is the most popular among these. Thanos addresses these issues with Prometheus and is the ideal solution for scaling Prometheus in environments with extensive metrics or multiple clusters where we require a global view of historical metrics. In this blog, we will explore the components of Thanos and will try to simplify its... - Source: dev.to / about 2 years 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: about 3 years 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: about 3 years 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 3 years 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 4 years ago
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