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315 lines
16 KiB
Markdown
315 lines
16 KiB
Markdown
<img alt="Victoria Metrics" src="logo.png">
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# Cluster version of VictoriaMetrics
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VictoriaMetrics is fast, cost-effective and scalable time series database. It can be used as a long-term remote storage for Prometheus.
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It is recommended using [single-node version](https://github.com/VictoriaMetrics/VictoriaMetrics) instead of cluster version
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for ingestion rates lower than 10 million of data points per second.
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Single-node version [scales perfectly](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae)
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with the number of CPU cores, RAM and available storage space.
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Single-node version is easier to configure and operate comparing to cluster version, so think twice before sticking to cluster version.
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Join [our Slack](http://slack.victoriametrics.com/) or [contact us](mailto:info@victoriametrics.com) with consulting and support questions.
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## Prominent features
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- Supports all the features of [single-node version](https://github.com/VictoriaMetrics/VictoriaMetrics).
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- Performance and capacity scales horizontally.
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- Supports multiple independent namespaces for time series data (aka multi-tenancy).
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## Architecture overview
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VictoriaMetrics cluster consists of the following services:
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- `vmstorage` - stores the data
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- `vminsert` - proxies the ingested data to `vmstorage` shards using consistent hashing
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- `vmselect` - performs incoming queries using the data from `vmstorage`
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Each service may scale independently and may run on the most suitable hardware.
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<img src="https://docs.google.com/drawings/d/e/2PACX-1vTvk2raU9kFgZ84oF-OKolrGwHaePhHRsZEcfQ1I_EC5AB_XPWwB392XshxPramLJ8E4bqptTnFn5LL/pub?w=1104&h=746">
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## Binaries
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Compiled binaries for cluster version are available in the `assets` section of [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases).
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See archives containing `cluster` word.
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Docker images for cluster version are available here:
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- `vminsert` - https://hub.docker.com/r/victoriametrics/vminsert/tags
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- `vmselect` - https://hub.docker.com/r/victoriametrics/vmselect/tags
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- `vmstorage` - https://hub.docker.com/r/victoriametrics/vmstorage/tags
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## Building from sources
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Source code for cluster version is available at [cluster branch](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
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### Development Builds
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1. [Install go](https://golang.org/doc/install). The minimum supported version is Go 1.12.
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2. Run `make` from the repository root. It should build `vmstorage`, `vmselect`
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and `vminsert` binaries and put them into the `bin` folder.
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### Production builds
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There is no need in installing Go on a host system since binaries are built
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inside [the official docker container for Go](https://hub.docker.com/_/golang).
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This makes reproducible builds.
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So [install docker](https://docs.docker.com/install/) and run the following command:
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```
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make vminsert-prod vmselect-prod vmstorage-prod
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```
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Production binaries are built into statically linked binaries for `GOARCH=amd64`, `GOOS=linux`.
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They are put into `bin` folder with `-prod` suffixes:
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```
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$ make vminsert-prod vmselect-prod vmstorage-prod
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$ ls -1 bin
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vminsert-prod
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vmselect-prod
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vmstorage-prod
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```
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### Building docker images
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Run `make package`. It will build the following docker images locally:
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* `victoriametrics/vminsert:<PKG_TAG>`
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* `victoriametrics/vmselect:<PKG_TAG>`
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* `victoriametrics/vmstorage:<PKG_TAG>`
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`<PKG_TAG>` is auto-generated image tag, which depends on source code in the repository.
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The `<PKG_TAG>` may be manually set via `PKG_TAG=foobar make package`.
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## Operation
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### Cluster setup
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A minimal cluster must contain the following nodes:
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* a single `vmstorage` node with `-retentionPeriod` and `-storageDataPath` flags
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* a single `vminsert` node with `-storageNode=<vmstorage_host>:8400`
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* a single `vmselect` node with `-storageNode=<vmstorage_host>:8401`
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It is recommended to run at least two nodes for each service
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for high availability purposes.
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An http load balancer must be put in front of `vminsert` and `vmselect` nodes:
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- requests starting with `/insert` must be routed to port `8480` on `vminsert` nodes.
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- requests starting with `/select` must be routed to port `8481` on `vmselect` nodes.
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Ports may be altered by setting `-httpListenAddr` on the corresponding nodes.
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### URL format
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* URLs for data ingestion: `http://<vminsert>:8480/insert/<accountID>/<suffix>`, where:
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- `<accountID>` is an arbitrary number identifying namespace for data ingestion (aka tenant)
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- `<suffix>` may have the following values:
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- `prometheus` - for inserting data with [Prometheus remote write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write)
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- `influx/write` or `influx/api/v2/write` - for inserting data with [Influx line protocol](https://docs.influxdata.com/influxdb/v1.7/write_protocols/line_protocol_tutorial/)
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* URLs for querying: `http://<vmselect>:8481/select/<accountID>/prometheus/<suffix>`, where:
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- `<accountID>` is an arbitrary number identifying data namespace for the query (aka tenant)
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- `<suffix>` may have the following values:
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- `api/v1/query` - performs [PromQL instant query](https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries)
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- `api/v1/query_range` - performs [PromQL range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries)
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- `api/v1/series` - performs [series query](https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers)
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- `api/v1/labels` - returns a [list of label names](https://prometheus.io/docs/prometheus/latest/querying/api/#getting-label-names)
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- `api/v1/label/<label_name>/values` - returns values for the given `<label_name>` according [to API](https://prometheus.io/docs/prometheus/latest/querying/api/#querying-label-values)
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- `federate` - returns [federated metrics](https://prometheus.io/docs/prometheus/latest/federation/)
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- `api/v1/export` - exports raw data. See [this article](https://medium.com/@valyala/analyzing-prometheus-data-with-external-tools-5f3e5e147639) for details
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* URL for time series deletion: `http://<vmselect>:8481/delete/<accountID>/prometheus/api/v1/admin/tsdb/delete_series?match[]=<timeseries_selector_for_delete>`.
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Note that the `delete_series` handler should be used only in exceptional cases such as deletion of accidentally ingested incorrect time series. It shouldn't
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be used on a regular basis, since it carries non-zero overhead.
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* `vmstorage` nodes provide the following HTTP endpoints on `8482` port:
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- `/snapshot/create` - create [instant snapshot](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282),
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which can be used for backups in background. Snapshots are created in `<storageDataPath>/snapshots` folder, where `<storageDataPath>` is the corresponding
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command-line flag value.
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- `/snapshot/list` - list available snasphots.
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- `/snapshot/delete?snapshot=<id>` - delete the given snapshot.
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- `/snapshot/delete_all` - delete all the snapshots.
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Snapshots may be created independently on each `vmstorage` node. There is no need in synchronizing snapshots' creation
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across `vmstorage` nodes.
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### Cluster resizing and scalability.
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Cluster performance and capacity scales with adding new nodes.
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* `vminsert` and `vmselect` nodes are stateless and may be added / removed at any time.
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Do not forget updating the list of these nodes on http load balancer.
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Adding more `vminsert` nodes scales data ingestion rate. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/175#issuecomment-536925841)
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about ingestion rate scalability.
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Adding more `vmselect` nodes scales select queries rate.
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* `vmstorage` nodes own the ingested data, so they cannot be removed without data loss.
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Adding more `vmstorage` nodes scales cluster capacity.
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Steps to add `vmstorage` node:
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1. Start new `vmstorage` node with the same `-retentionPeriod` as existing nodes in the cluster.
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2. Gradually restart all the `vmselect` nodes with new `-storageNode` arg containing `<new_vmstorage_host>:8401`.
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3. Gradually restart all the `vminsert` nodes with new `-storageNode` arg containing `<new_vmstorage_host>:8400`.
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### Cluster availability
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* HTTP load balancer must stop routing requests to unavailable `vminsert` and `vmselect` nodes.
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* The cluster remains available if at least a single `vmstorage` node exists:
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- `vminsert` re-routes incoming data from unavailable `vmstorage` nodes to healthy `vmstorage` nodes
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- `vmselect` continues serving partial responses if at least a single `vmstorage` node is available.
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### Updating / reconfiguring cluster nodes
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All the node types - `vminsert`, `vmselect` and `vmstorage` - may be updated via graceful shutdown.
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Send `SIGINT` signal to the corresponding process, wait until it finishes and then start new version
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with new configs.
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Cluster should remain in working state if at least a single node of each type remains available during
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the update process. See [cluster availability](#cluster-availability) section for details.
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### Capacity planning
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Each instance type - `vminsert`, `vmselect` and `vmstorage` - can run on the most suitable hardware.
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#### vminsert
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* The recommended total number of vCPU cores for all the `vminsert` instances can be calculated from the ingestion rate: `vCPUs = ingestion_rate / 150K`.
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* The recommended number of vCPU cores per each `vminsert` instance should equal to the number of `vmstorage` instances in the cluster.
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* The amount of RAM per each `vminsert` instance should be 1GB or more. RAM is used as a buffer for spikes in ingestion rate.
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* Sometimes `-rpc.disableCompression` command-line flag on `vminsert` instances could increase ingestion capacity at the cost
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of higher network bandwidth usage between `vminsert` and `vmstorage`.
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#### vmstorage
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* The recommended total number of vCPU cores for all the `vmstorage` instances can be calculated from the ingestion rate: `vCPUs = ingestion_rate / 150K`.
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* The recommended total amount of RAM for all the `vmstorage` instances can be calculated from the number of active time series: `RAM = active_time_series * 1KB`.
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Time series is active if it received at least a single data point during the last hour or if it has been queried during the last hour.
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* The recommended total amount of storage space for all the `vmstorage` instances can be calculated
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from the ingestion rate and retention: `storage_space = ingestion_rate * retention_seconds`.
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#### vmselect
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The recommended hardware for `vmselect` instances highly depends on the type of queries. Lightweight queries over small number of time series usually require
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small number of vCPU cores and small amount of RAM on `vmselect`, while heavy queries over big number of time series (>10K) usually require
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bigger number of vCPU cores and bigger amounts of RAM.
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### Helm
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Helm chart simplifies managing cluster version of VictoriaMetrics in Kubernetes.
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It is available in the [helm-charts](https://github.com/VictoriaMetrics/helm-charts) repository.
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Upgrade follows `Cluster resizing procedure` under the hood.
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### Replication and data safety
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VictoriaMetrics offloads replication to the underlying storage pointed by `-storageDataPath`.
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It is recommended storing data on [Google Compute Engine persistent disks](https://cloud.google.com/compute/docs/disks/#pdspecs),
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since they are protected from data loss and data corruption. They also provide consistently high performance
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and [may be resized](https://cloud.google.com/compute/docs/disks/add-persistent-disk) without downtime.
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HDD-based persistent disks should be enough for the majority of use cases.
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It is recommended using durable replicated persistent volumes in Kubernetes.
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### Backups
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It is recommended performing periodical backups from [instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282)
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for protecting from user errors such as accidental data deletion.
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The following steps must be performed for each `vmstorage` node for creating a backup:
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1. Create an instant snapshot by navigating to `/snapshot/create` HTTP handler. It will create snapshot and return its name.
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2. Archive the created snapshot from `<-storageDataPath>/snapshots/<snapshot_name>` folder using any suitable tool that follows symlinks. For instance,
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`cp -L`, `rsync -L` or `scp -r`. The archival process doesn't interfere with `vmstorage` work, so it may be performed at any suitable time.
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Incremental backups are possible with `rsync --delete`, which should [remove extraneous files from backup dir](https://askubuntu.com/questions/476041/how-do-i-make-rsync-delete-files-that-have-been-deleted-from-the-source-folder).
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3. Delete unused snapshots via `/snapshot/delete?snapshot=<snapshot_name>` or `/snapshot/delete_all` in order to free up occupied storage space.
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There is no need in synchronizing backups among all the `vmstorage` nodes.
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Restoring from backup:
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1. Stop `vmstorage` node with `kill -INT`.
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2. Delete all the contents of the directory pointed by `-storageDataPath` command-line flag.
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3. Copy all the contents of the backup directory to `-storageDataPath` directory.
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4. Start `vmstorage` node.
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## Community and contributions
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We are open to third-party pull requests provided they follow [KISS design principle](https://en.wikipedia.org/wiki/KISS_principle):
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- Prefer simple code and architecture.
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- Avoid complex abstractions.
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- Avoid magic code and fancy algorithms.
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- Avoid [big external dependencies](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d).
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- Minimize the number of moving parts in the distributed system.
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- Avoid automated decisions, which may hurt cluster availability, consistency or performance.
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Adhering `KISS` principle simplifies the resulting code and architecture, so it can be reviewed, understood and verified by many people.
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Due to `KISS` cluster version of VictoriaMetrics has no the following "features" popular in distributed computing world:
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- Fragile gossip protocols. See [failed attempt in Thanos](https://github.com/improbable-eng/thanos/blob/030bc345c12c446962225221795f4973848caab5/docs/proposals/completed/201809_gossip-removal.md).
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- Hard-to-understand-and-implement-properly [Paxos protocols](https://www.quora.com/In-distributed-systems-what-is-a-simple-explanation-of-the-Paxos-algorithm).
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- Complex replication schemes, which may go nuts in unforesseen edge cases. The replication is offloaded to the underlying durable replicated storage
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such as [persistent disks in Google Compute Engine](https://cloud.google.com/compute/docs/disks/#pdspecs).
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- Automatic data reshuffling between storage nodes, which may hurt cluster performance and availability.
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- Automatic cluster resizing, which may cost you a lot of money if improperly configured.
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- Automatic discovering and addition of new nodes in the cluster, which may mix data between dev and prod clusters :)
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- Automatic leader election, which may result in split brain disaster on network errors.
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## Reporting bugs
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Report bugs and propose new features [here](https://github.com/VictoriaMetrics/VictoriaMetrics/issues).
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## Victoria Metrics Logo
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[Zip](VM_logo.zip) contains three folders with different image orientation (main color and inverted version).
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Files included in each folder:
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* 2 JPEG Preview files
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* 2 PNG Preview files with transparent background
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* 2 EPS Adobe Illustrator EPS10 files
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### Logo Usage Guidelines
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#### Font used:
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* Lato Black
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* Lato Regular
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#### Color Palette:
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* HEX [#110f0f](https://www.color-hex.com/color/110f0f)
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* HEX [#ffffff](https://www.color-hex.com/color/ffffff)
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### We kindly ask:
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- Please don't use any other font instead of suggested.
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- There should be sufficient clear space around the logo.
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- Do not change spacing, alignment, or relative locations of the design elements.
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- Do not change the proportions of any of the design elements or the design itself. You may resize as needed but must retain all proportions.
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