Config for sending HA Pairs data to Cortex
You can have more than a single Prometheus monitoring and ingesting the same metrics for redundancy. Cortex already does replication for redundancy and it doesn’t make sense to ingest the same data twice. So in Cortex, we made sure we can dedupe the data we receive from HA Pairs of Prometheus. We do this via the following:
Assume that there are two teams, each running their own Prometheus, monitoring different services. Let’s call the Prometheis T1 and T2. Now, if the teams are running HA pairs, let’s call the individual Prometheis, T1.a, T1.b and T2.a and T2.b.
In Cortex we make sure we only ingest from one of T1.a and T1.b, and only from one of T2.a and T2.b. We do this by electing a leader replica for each cluster of Prometheus. For example, in the case of T1, let it be T1.a. As long as T1.a is the leader, we drop the samples sent by T1.b. And if Cortex sees no new samples from T1.a for a short period (30s by default), it’ll switch the leader to be T1.b.
This means if T1.a goes down for a few minutes Cortex’s HA sample handling will have switched and elected T1.b as the leader. This failover timeout is what enables us to only accept samples from a single replica at a time, but ensure we don’t drop too much data in case of issues. Note that with the default scrape period of 15s, and the default timeouts in Cortex, in most cases you’ll only lose a single scrape of data in the case of a leader election failover. For any rate queries the rate window should be at least 4x the scrape period to account for any of these failover scenarios, for example with the default scrape period of 15s then you should calculate rates over at least 1m periods.
Now we do the same leader election process T2.
So for Cortex to achieve this, we need 2 identifiers for each process, one identifier for the cluster (T1 or T2, etc) and one identifier to identify the replica in the cluster (a or b). The easiest way to do with is by setting external labels, the default labels are
__replica__. For example:
cluster: prom-team1 __replica__: replica1 (or pod-name)
cluster: prom-team1 __replica__: replica2
Note: These are external labels and have nothing to do with remote_write config.
These two label names are configurable per-tenant within Cortex, and should be set to something sensible. For example, cluster label is already used by some workloads, and you should set the label to be something else but uniquely identifies the cluster. Good examples for this label-name would be
The replica label should be set so that the value for each prometheus is unique in that cluster. Note: Cortex drops this label when ingesting data, but preserves the cluster label. This way, your timeseries won’t change when replicas change.
The minimal configuration requires:
- Enabling the HA tracker via
-distributor.ha-tracker.enable=trueCLI flag (or its YAML config option)
- Configuring the KV store for the ring (See: Ring/HA Tracker Store). Only Consul and etcd are currently supported. Multi should be used for migration purposes only.
- Setting the limits configuration to accept samples via
-distributor.ha-tracker.enable-for-all-users(or its YAML config option)
The following configuration snippet shows an example of the HA tracker config via YAML config file:
limits: ... accept_ha_samples: true ... distributor: ... ha_tracker: enable_ha_tracker: true ... kvstore: [store: <string> | default = "consul"] [consul | etcd: <config>] ... ...
For flag configuration, see the distributor flags having
ha-tracker in them.
If you plan to use remote_read, you can’t have the
__replica__ label in the
external section. Instead, you will need to add it only on the remote_write
section of your prometheus.yml.
global: external_labels: cluster: prom-team1 remote_write: - url: https://cortex/api/v1/push write_relabel_configs: - target_label: __replica__ replacement: 1
global: external_labels: cluster: prom-team1 remote_write: - url: https://cortex/api/v1/push write_relabel_configs: - target_label: __replica__ replacement: replica2
When Prometheus is executing remote read queries, it will add the external
labels to the query. In this case, if it asks for the
Cortex will not return any data.
__replica__ label should only be added for remote write.