Victoria Metrics # Cluster version VictoriaMetrics is fast, cost-effective and scalable time series database. It can be used as a long-term remote storage for Prometheus. It is recommended using [single-node version](https://github.com/VictoriaMetrics/VictoriaMetrics) instead of cluster version for ingestion rates lower than a million of data points per second. Single-node version [scales perfectly](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae) with the number of CPU cores, RAM and available storage space. Single-node version is easier to configure and operate comparing to cluster version, so think twice before sticking to cluster version. Join [our Slack](http://slack.victoriametrics.com/) or [contact us](mailto:info@victoriametrics.com) with consulting and support questions. ## Prominent features - Supports all the features of [single-node version](https://github.com/VictoriaMetrics/VictoriaMetrics). - Performance and capacity scales horizontally. - Supports multiple independent namespaces for time series data (aka multi-tenancy). ## Architecture overview VictoriaMetrics cluster consists of the following services: - `vmstorage` - stores the data - `vminsert` - proxies the ingested data to `vmstorage` shards using consistent hashing - `vmselect` - performs incoming queries using the data from `vmstorage` Each service may scale independently and may run on the most suitable hardware. `vmstorage` nodes don't know about each other, don't communicate with each other and don't share any data. This is [shared nothing architecture](https://en.wikipedia.org/wiki/Shared-nothing_architecture). It increases cluster availability, simplifies cluster maintenance and cluster scaling. ## Binaries Compiled binaries for cluster version are available in the `assets` section of [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases). See archives containing `cluster` word. Docker images for cluster version are available here: - `vminsert` - https://hub.docker.com/r/victoriametrics/vminsert/tags - `vmselect` - https://hub.docker.com/r/victoriametrics/vmselect/tags - `vmstorage` - https://hub.docker.com/r/victoriametrics/vmstorage/tags ## Building from sources Source code for cluster version is available at [cluster branch](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster). ### Production builds There is no need in installing Go on a host system since binaries are built inside [the official docker container for Go](https://hub.docker.com/_/golang). This makes reproducible builds. So [install docker](https://docs.docker.com/install/) and run the following command: ``` make vminsert-prod vmselect-prod vmstorage-prod ``` Production binaries are built into statically linked binaries. They are put into `bin` folder with `-prod` suffixes: ``` $ make vminsert-prod vmselect-prod vmstorage-prod $ ls -1 bin vminsert-prod vmselect-prod vmstorage-prod ``` ### Development Builds 1. [Install go](https://golang.org/doc/install). The minimum supported version is Go 1.13. 2. Run `make` from the repository root. It should build `vmstorage`, `vmselect` and `vminsert` binaries and put them into the `bin` folder. ### Building docker images Run `make package`. It will build the following docker images locally: * `victoriametrics/vminsert:` * `victoriametrics/vmselect:` * `victoriametrics/vmstorage:` `` is auto-generated image tag, which depends on source code in the repository. The `` may be manually set via `PKG_TAG=foobar make package`. By default images are built on top of `scratch` image. It is possible to build on top of any other base image by setting it via `` environment variable. For example, the following command builds images on top of `alpine:3.11` image: ```bash ROOT_IMAGE=alpine:3.11 make package ``` ## Operation ### Cluster setup A minimal cluster must contain the following nodes: * a single `vmstorage` node with `-retentionPeriod` and `-storageDataPath` flags * a single `vminsert` node with `-storageNode=:8400` * a single `vmselect` node with `-storageNode=:8401` It is recommended to run at least two nodes for each service for high availability purposes. An http load balancer must be put in front of `vminsert` and `vmselect` nodes: - requests starting with `/insert` must be routed to port `8480` on `vminsert` nodes. - requests starting with `/select` must be routed to port `8481` on `vmselect` nodes. Ports may be altered by setting `-httpListenAddr` on the corresponding nodes. It is recommended setting up [monitoring](#monitoring) for the cluster. #### Environment variables Each flag values can be set thru environment variables by following these rules: - The `-envflag.enable` flag must be set - Each `.` in flag names must be substituted by `_` (for example `-insert.maxQueueDuration ` will translate to `insert_maxQueueDuration=`) - For repeating flags, an alternative syntax can be used by joining the different values into one using `,` as separator (for example `-storageNode -storageNode ` will translate to `storageNode=,`) - It is possible setting prefix for environment vars with `-envflag.prefix`. For instance, if `-envflag.prefix=VM_`, then env vars must be prepended with `VM_` ### Monitoring All the cluster components expose various metrics in Prometheus-compatible format at `/metrics` page on the TCP port set in `-httpListenAddr` command-line flag. By default the following TCP ports are used: - `vminsert` - 8480 - `vmselect` - 8481 - `vmstorage` - 8482 It is recommended setting up Prometheus to scrape `/metrics` pages from all the cluster components, so they can be monitored and analyzed with [the official Grafana dashboard for VictoriaMetrics cluster](https://grafana.com/grafana/dashboards/11176) or [an alternative dashboard for VictoriaMetrics cluster](https://grafana.com/grafana/dashboards/11831). ### URL format * URLs for data ingestion: `http://:8480/insert//`, where: - `` is an arbitrary number identifying namespace for data ingestion (aka tenant) - `` may have the following values: - `prometheus` - for inserting data with [Prometheus remote write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write) - `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/) - `opentsdb/api/put` - for accepting [OpenTSDB HTTP /api/put requests](http://opentsdb.net/docs/build/html/api_http/put.html). - `prometheus/api/v1/import` - for importing data obtained via `api/v1/export` on `vmselect` (see below). * URLs for querying: `http://:8481/select//prometheus/`, where: - `` is an arbitrary number identifying data namespace for the query (aka tenant) - `` may have the following values: - `api/v1/query` - performs [PromQL instant query](https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries) - `api/v1/query_range` - performs [PromQL range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) - `api/v1/series` - performs [series query](https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers) - `api/v1/labels` - returns a [list of label names](https://prometheus.io/docs/prometheus/latest/querying/api/#getting-label-names) - `api/v1/label//values` - returns values for the given `` according [to API](https://prometheus.io/docs/prometheus/latest/querying/api/#querying-label-values) - `federate` - returns [federated metrics](https://prometheus.io/docs/prometheus/latest/federation/) - `api/v1/export` - exports raw data. See [this article](https://medium.com/@valyala/analyzing-prometheus-data-with-external-tools-5f3e5e147639) for details * URL for time series deletion: `http://:8481/delete//prometheus/api/v1/admin/tsdb/delete_series?match[]=`. 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 be used on a regular basis, since it carries non-zero overhead. * `vmstorage` nodes provide the following HTTP endpoints on `8482` port: - `/snapshot/create` - create [instant snapshot](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282), which can be used for backups in background. Snapshots are created in `/snapshots` folder, where `` is the corresponding command-line flag value. - `/snapshot/list` - list available snasphots. - `/snapshot/delete?snapshot=` - delete the given snapshot. - `/snapshot/delete_all` - delete all the snapshots. Snapshots may be created independently on each `vmstorage` node. There is no need in synchronizing snapshots' creation across `vmstorage` nodes. ### Cluster resizing and scalability. Cluster performance and capacity scales with adding new nodes. * `vminsert` and `vmselect` nodes are stateless and may be added / removed at any time. Do not forget updating the list of these nodes on http load balancer. Adding more `vminsert` nodes scales data ingestion rate. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/175#issuecomment-536925841) about ingestion rate scalability. Adding more `vmselect` nodes scales select queries rate. * `vmstorage` nodes own the ingested data, so they cannot be removed without data loss. Adding more `vmstorage` nodes scales cluster capacity. Steps to add `vmstorage` node: 1. Start new `vmstorage` node with the same `-retentionPeriod` as existing nodes in the cluster. 2. Gradually restart all the `vmselect` nodes with new `-storageNode` arg containing `:8401`. 3. Gradually restart all the `vminsert` nodes with new `-storageNode` arg containing `:8400`. ### Cluster availability * HTTP load balancer must stop routing requests to unavailable `vminsert` and `vmselect` nodes. * The cluster remains available if at least a single `vmstorage` node exists: - `vminsert` re-routes incoming data from unavailable `vmstorage` nodes to healthy `vmstorage` nodes - `vmselect` continues serving partial responses if at least a single `vmstorage` node is available. ### Updating / reconfiguring cluster nodes All the node types - `vminsert`, `vmselect` and `vmstorage` - may be updated via graceful shutdown. Send `SIGINT` signal to the corresponding process, wait until it finishes and then start new version with new configs. Cluster should remain in working state if at least a single node of each type remains available during the update process. See [cluster availability](#cluster-availability) section for details. ### Capacity planning Each instance type - `vminsert`, `vmselect` and `vmstorage` - can run on the most suitable hardware. #### vminsert * The recommended total number of vCPU cores for all the `vminsert` instances can be calculated from the ingestion rate: `vCPUs = ingestion_rate / 150K`. * The recommended number of vCPU cores per each `vminsert` instance should equal to the number of `vmstorage` instances in the cluster. * The amount of RAM per each `vminsert` instance should be 1GB or more. RAM is used as a buffer for spikes in ingestion rate. * Sometimes `-rpc.disableCompression` command-line flag on `vminsert` instances could increase ingestion capacity at the cost of higher network bandwidth usage between `vminsert` and `vmstorage`. #### vmstorage * The recommended total number of vCPU cores for all the `vmstorage` instances can be calculated from the ingestion rate: `vCPUs = ingestion_rate / 150K`. * 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`. 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. * The recommended total amount of storage space for all the `vmstorage` instances can be calculated from the ingestion rate and retention: `storage_space = ingestion_rate * retention_seconds`. #### vmselect The recommended hardware for `vmselect` instances highly depends on the type of queries. Lightweight queries over small number of time series usually require small number of vCPU cores and small amount of RAM on `vmselect`, while heavy queries over big number of time series (>10K) usually require bigger number of vCPU cores and bigger amounts of RAM. ### Helm Helm chart simplifies managing cluster version of VictoriaMetrics in Kubernetes. It is available in the [helm-charts](https://github.com/VictoriaMetrics/helm-charts) repository. Upgrade follows `Cluster resizing procedure` under the hood. ### Replication and data safety VictoriaMetrics offloads replication to the underlying storage pointed by `-storageDataPath`. It is recommended storing data on [Google Compute Engine persistent disks](https://cloud.google.com/compute/docs/disks/#pdspecs), since they are protected from data loss and data corruption. They also provide consistently high performance and [may be resized](https://cloud.google.com/compute/docs/disks/add-persistent-disk) without downtime. HDD-based persistent disks should be enough for the majority of use cases. It is recommended using durable replicated persistent volumes in Kubernetes. Note that [replication doesn't save from disaster](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883). ### Backups 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) for protecting from user errors such as accidental data deletion. The following steps must be performed for each `vmstorage` node for creating a backup: 1. Create an instant snapshot by navigating to `/snapshot/create` HTTP handler. It will create snapshot and return its name. 2. Archive the created snapshot from `<-storageDataPath>/snapshots/` folder using [vmbackup](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/cluster/app/vmbackup/README.md). The archival process doesn't interfere with `vmstorage` work, so it may be performed at any suitable time. 3. Delete unused snapshots via `/snapshot/delete?snapshot=` or `/snapshot/delete_all` in order to free up occupied storage space. There is no need in synchronizing backups among all the `vmstorage` nodes. Restoring from backup: 1. Stop `vmstorage` node with `kill -INT`. 2. Restore data from backup using [vmrestore](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/cluster/app/vmrestore/README.md) into `-storageDataPath` directory. 3. Start `vmstorage` node. ## Community and contributions We are open to third-party pull requests provided they follow [KISS design principle](https://en.wikipedia.org/wiki/KISS_principle): - Prefer simple code and architecture. - Avoid complex abstractions. - Avoid magic code and fancy algorithms. - Avoid [big external dependencies](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d). - Minimize the number of moving parts in the distributed system. - Avoid automated decisions, which may hurt cluster availability, consistency or performance. Adhering `KISS` principle simplifies the resulting code and architecture, so it can be reviewed, understood and verified by many people. Due to `KISS` cluster version of VictoriaMetrics has no the following "features" popular in distributed computing world: - Fragile gossip protocols. See [failed attempt in Thanos](https://github.com/improbable-eng/thanos/blob/030bc345c12c446962225221795f4973848caab5/docs/proposals/completed/201809_gossip-removal.md). - Hard-to-understand-and-implement-properly [Paxos protocols](https://www.quora.com/In-distributed-systems-what-is-a-simple-explanation-of-the-Paxos-algorithm). - Complex replication schemes, which may go nuts in unforesseen edge cases. The replication is offloaded to the underlying durable replicated storage such as [persistent disks in Google Compute Engine](https://cloud.google.com/compute/docs/disks/#pdspecs). - Automatic data reshuffling between storage nodes, which may hurt cluster performance and availability. - Automatic cluster resizing, which may cost you a lot of money if improperly configured. - Automatic discovering and addition of new nodes in the cluster, which may mix data between dev and prod clusters :) - Automatic leader election, which may result in split brain disaster on network errors. ## Reporting bugs Report bugs and propose new features [here](https://github.com/VictoriaMetrics/VictoriaMetrics/issues). ## Victoria Metrics Logo [Zip](VM_logo.zip) contains three folders with different image orientation (main color and inverted version). Files included in each folder: * 2 JPEG Preview files * 2 PNG Preview files with transparent background * 2 EPS Adobe Illustrator EPS10 files ### Logo Usage Guidelines #### Font used: * Lato Black * Lato Regular #### Color Palette: * HEX [#110f0f](https://www.color-hex.com/color/110f0f) * HEX [#ffffff](https://www.color-hex.com/color/ffffff) ### We kindly ask: - Please don't use any other font instead of suggested. - There should be sufficient clear space around the logo. - Do not change spacing, alignment, or relative locations of the design elements. - 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.