Push Metrics via Thanos¶
- Status: accepted
- Deciders: arch meeting
- Date: 2022-01-20
Context and Problem Statement¶
Currently, the service cluster exposes several end-points for workload clusters:
- Dex, for authentication;
- OpenSearch, for pushing logs (append-only);
- InfluxDB, for pusing metrics;
- Harbor, for pulling container images.
InfluxDB has served us really well over the years. However, as we enter a new era of growth, it no longer satisfies our needs. In particular:
- It is not community-driven (see ADR-0015 We believe in community-driven open source).
- The open-source version cannot be run replicated, hence it is a single point of failure.
- It is rather capacity hungry, eating as much as 2 CPUs and 15 Gi in a standard package environment.
- It is unsuitable for long-term metrics storage, which we need -- among others -- for proper capacity management.
We decided to migrate from InfluxDB to Thanos, which can both push and pull metrics.
Shall we push or pull metrics using Thanos?
- We want to support multiple workload clusters.
- We want to untangle the life-cycle of the service cluster and workload cluster.
- The service cluster acts as a tamper-proof logging environment, hence it should be difficult to tamper with metrics from the workload cluster.
- Push metrics from workload cluster to service cluster.
- Pull metrics from workload cluster to service cluster.
We chose to push metrics from the workload cluster to the service cluster via via Thanos Receive, because it keeps the "direction" of metrics flow. Hence, we keep support for multiple workload clusters without any changes.
At the time of this writing, pulling metrics via Thanos sidecar seems to be the preferred way to deploy Thanos. We will monitor the ecosystem and our needs, and -- if needed -- move to pulling metrics.
At any rate, even if we end up with Thanos Sidecar, migrating in two steps -- first from InfluxDB to Thanos Receive, then to Thanos Sidecar -- feels less risky.
- All of
*.$opsDomaincan point to the service cluster workers -- optionally fronted by a load-balancer -- which considerably simplifies setup.
- Multiple workload clusters can push metrics to the service cluster, which paves the path to workload multi-tenancy.
- The service cluster can be set up first, followed by one-or-more workload clusters.
- Workload clusters become more "cattle"-ish.
- Metrics are less protected than in a pull architecture. E.g., compromising the workload cluster can easier be used to mount an attack against long-term metrics storage.