--- sort: 9 --- # Cluster version Victoria Metrics VictoriaMetrics is a 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. See [these docs for details](#cluster-resizing-and-scalability). - Supports multiple independent namespaces for time series data (aka multi-tenancy). See [these docs for details](#multitenancy). - Supports replication. See [these docs for details](#replication-and-data-safety). ## 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. ## Multitenancy VictoriaMetrics cluster supports multiple isolated tenants (aka namespaces). Tenants are identified by `accountID` or `accountID:projectID`, which are put inside request urls. See [these docs](#url-format) for details. Some facts about tenants in VictoriaMetrics: * Each `accountID` and `projectID` is identified by an arbitrary 32-bit integer in the range `[0 .. 2^32)`. If `projectID` is missing, then it is automatically assigned to `0`. It is expected that other information about tenants such as auth tokens, tenant names, limits, accounting, etc. is stored in a separate relational database. This database must be managed by a separate service sitting in front of VictoriaMetrics cluster such as [vmauth](https://victoriametrics.github.io/vmauth.html). [Contact us](mailto:info@victoriametrics.com) if you need help with creating such a service. * Tenants are automatically created when the first data point is written into the given tenant. * Data for all the tenants is evenly spread among available `vmstorage` nodes. This guarantees even load among `vmstorage` nodes when different tenants have different amounts of data and different query load. * VictoriaMetrics doesn't support querying multiple tenants in a single request. ## 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 1.15. 2. Run `make` from [the repository root](https://github.com/VictoriaMetrics/VictoriaMetrics). 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](https://github.com/VictoriaMetrics/VictoriaMetrics). The `` may be manually set via `PKG_TAG=foobar make package`. By default images are built on top of [alpine](https://hub.docker.com/_/scratch) image in order to improve debuggability. It is possible to build an image on top of any other base image by setting it via `` environment variable. For example, the following command builds images on top of [scratch](https://hub.docker.com/_/scratch) image: ```bash ROOT_IMAGE=scratch 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 such as `nginx` 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 [vmagent](https://victoriametrics.github.io/vmagent.html) or 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). It is recommended setting up alerts in [vmalert](https://victoriametrics.github.io/vmalert.html) or in Prometheus from [this config](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/cluster/deployment/docker/alerts.yml). ## URL format * URLs for data ingestion: `http://:8480/insert//`, where: - `` is an arbitrary 32-bit integer identifying namespace for data ingestion (aka tenant). It is possible to set it as `accountID:projectID`, where `projectID` is also arbitrary 32-bit integer. If `projectID` isn't set, then it equals to `0`. - `` may have the following values: - `prometheus` and `prometheus/api/v1/write` - for inserting data with [Prometheus remote write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write) - `influx/write` and `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). This handler is disabled by default. It is exposed on a distinct TCP address set via `-opentsdbHTTPListenAddr` command-line flag. See [these docs](https://victoriametrics.github.io/Single-server-VictoriaMetrics.html#sending-opentsdb-data-via-http-apiput-requests) for details. - `prometheus/api/v1/import` - for importing data obtained via `api/v1/export` on `vmselect` (see below). - `prometheus/api/v1/import/native` - for importing data obtained via `api/v1/export/native` on `vmselect` (see below). - `prometheus/api/v1/import/csv` - for importing arbitrary CSV data. See [these docs](https://victoriametrics.github.io/Single-server-VictoriaMetrics.html#how-to-import-csv-data) for details. - `prometheus/api/v1/import/prometheus` - for importing data in [Prometheus text exposition format](https://github.com/prometheus/docs/blob/master/content/docs/instrumenting/exposition_formats.md#text-based-format) and in [OpenMetrics format](https://github.com/OpenObservability/OpenMetrics/blob/master/specification/OpenMetrics.md). See [these docs](https://victoriametrics.github.io/Single-server-VictoriaMetrics.html#how-to-import-data-in-prometheus-exposition-format) for details. * URLs for [Prometheus querying API](https://prometheus.io/docs/prometheus/latest/querying/api/): `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 in JSON line format. See [this article](https://medium.com/@valyala/analyzing-prometheus-data-with-external-tools-5f3e5e147639) for details. - `api/v1/export/native` - exports raw data in native binary format. It may be imported into another VictoriaMetrics via `api/v1/import/native` (see above). - `api/v1/export/csv` - exports data in CSV. It may be imported into another VictoriaMetrics via `api/v1/import/csv` (see above). - `api/v1/status/tsdb` - for time series stats. See [these docs](https://prometheus.io/docs/prometheus/latest/querying/api/#tsdb-stats) for details. VictoriaMetrics accepts optional `topN=N` and `date=YYYY-MM-DD` query args for this handler, where `N` is the number of top entries to return in the response and `YYYY-MM-DD` is the date for collecting the stats. By default the stats is collected for the current day. - `api/v1/status/active_queries` - for currently executed active queries. Note that every `vmselect` maintains an independent list of active queries, which is returned in the response. - `api/v1/status/top_queries` - for listing the most frequently executed queries and queries taking the most duration. * URLs for [Graphite Metrics API](https://graphite-api.readthedocs.io/en/latest/api.html#the-metrics-api): `http://:8481/select//graphite/`, where: - `` is an arbitrary number identifying data namespace for query (aka tenant) - `` may have the following values: - `render` - implements Graphite Render API. See [these docs](https://graphite.readthedocs.io/en/stable/render_api.html). This functionality is available in [Enterprise package](https://victoriametrics.com/enterprise.html). - `metrics/find` - searches Graphite metrics. See [these docs](https://graphite-api.readthedocs.io/en/latest/api.html#metrics-find). - `metrics/expand` - expands Graphite metrics. See [these docs](https://graphite-api.readthedocs.io/en/latest/api.html#metrics-expand). - `metrics/index.json` - returns all the metric names. See [these docs](https://graphite-api.readthedocs.io/en/latest/api.html#metrics-index-json). - `tags/tagSeries` - registers time series. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#adding-series-to-the-tagdb). - `tags/tagMultiSeries` - register multiple time series. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#adding-series-to-the-tagdb). - `tags` - returns tag names. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#exploring-tags). - `tags/` - returns tag values for the given ``. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#exploring-tags). - `tags/findSeries` - returns series matching the given `expr`. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#exploring-tags). - `tags/autoComplete/tags` - returns tags matching the given `tagPrefix` and/or `expr`. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#auto-complete-support). - `tags/autoComplete/values` - returns tag values matching the given `valuePrefix` and/or `expr`. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#auto-complete-support). - `tags/delSeries` - deletes series matching the given `path`. See [these docs](https://graphite.readthedocs.io/en/stable/tags.html#removing-series-from-the-tagdb). * URL for query stats across all tenants: `http://:8481/api/v1/status/top_queries`. It lists with the most frequently executed queries and queries taking the most duration. * 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: - `/internal/force_merge` - initiate [forced compactions](https://victoriametrics.github.io/#forced-merge) on the given `vmstorage` node. - `/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`. ## 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. ## 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. If consistency over availability is preferred, then either pass `-search.denyPartialResponse` command-line flag to `vmselect` or pass `deny_partial_response=1` query arg in requests to `vmselect`. `vmselect` doesn't serve partial responses for API handlers returning raw datapoints - [`/api/v1/export*` endpoints](https://victoriametrics.github.io/#how-to-export-time-series), since users usually expect this data is always complete. Data replication can be used for increasing storage durability. See [these docs](#replication-and-data-safety) 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. The maximum amount of used RAM per `vminsert` node can be tuned with `-memory.allowedPercent` or `-memory.allowedBytes` command-line flags. For instance, `-memory.allowedPercent=20` limits the maximum amount of used RAM to 20% of the available RAM on the host system. * 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 = 2 * 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 required RAM per each `vmstorage` should be multiplied by `-replicationFactor` if [replication](#replication-and-data-safety) is enabled. Additional RAM can be required for query processing. Calculated RAM requrements may differ from actual RAM requirements due to various factors: * The average number of labels per time series. More labels require more RAM. * The average length of label names and label values. Longer labels require more RAM. * The type of queries. Heavy queries that scan big number of time series over long time ranges require more RAM. * 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. In general it is recommended increasing the number of vCPU cores and RAM per `vmselect` node for higher query performance, while adding new `vmselect` nodes only when old nodes are overloaded with incoming query stream. ## High availability It is recommended to run all the components for a single cluster in the same subnetwork with high bandwidth, low latency and low error rates. This improves cluster performance and availability. It isn't recommended spreading components for a single cluster across multiple availability zones, since cross-AZ network usually has lower bandwidth, higher latency and higher error rates comparing the network inside AZ. If you need multi-AZ setup, then it is recommended running independed clusters in each AZ and setting up [vmagent](https://victoriametrics.github.io/vmagent.html) in front of these clusters, so it could replicate incoming data into all the cluster. Then [promxy](https://github.com/jacksontj/promxy) could be used for querying the data from multiple clusters. ## 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. ## Kubernetes operator [K8s operator](https://github.com/VictoriaMetrics/operator) simplifies managing VictoriaMetrics components in Kubernetes. ## Replication and data safety By default VictoriaMetrics offloads replication to the underlying storage pointed by `-storageDataPath`. The replication can be enabled by passing `-replicationFactor=N` command-line flag to `vminsert`. This guarantees that all the data remains available for querying if up to `N-1` `vmstorage` nodes are unavailable. The cluster must contain at least `2*N-1` `vmstorage` nodes, where `N` is replication factor, in order to maintain the given replication factor for newly ingested data when `N-1` of storage nodes are lost. For example, when `-replicationFactor=3` is passed to `vminsert`, then it replicates all the ingested data to 3 distinct `vmstorage` nodes, so up to 2 `vmstorage` nodes can be lost without data loss. The minimum number of `vmstorage` nodes should be equal to `2*3-1 = 5`, so when 2 `vmstorage` nodes are lost, the remaining 3 `vmstorage` nodes could provide the `-replicationFactor=3` for newly ingested data. When the replication is enabled, `-replicationFactor=N` and `-dedup.minScrapeInterval=1ms` command-line flag must be passed to `vmselect` nodes. The `-replicationFactor=N` improves query performance when a part of vmstorage nodes respond slowly and/or temporarily unavailable. Sometimes `-replicationFactor` at `vmselect` nodes shouldn't be set. See [this issues](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1207) for details. The `-dedup.minScrapeInterval=1ms` de-duplicates replicated data during queries. It is OK if `-dedup.minScrapeInterval` exceeds 1ms when [deduplication](https://victoriametrics.github.io/Single-server-VictoriaMetrics.html#deduplication) is used additionally to replication. Note that [replication doesn't save from disaster](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883), so it is recommended performing regular backups. See [these docs](#backups) for details. Note that the replication increases resource usage - CPU, RAM, disk space, network bandwidth - by up to `-replicationFactor` times. So it may be worth offloading the replication to underlying storage pointed by `-storageDataPath` such as [Google Compute Engine persistent disk](https://cloud.google.com/compute/docs/disks/#pdspecs), which is protected from data loss and data corruption. It 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. ## 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://victoriametrics.github.io/vmbackup.html). 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://victoriametrics.github.io/vmrestore.html) into `-storageDataPath` directory. 3. Start `vmstorage` node. ## Profiling All the cluster components provide the following handlers for [profiling](https://blog.golang.org/profiling-go-programs): * `http://vminsert:8480/debug/pprof/heap` for memory profile and `http://vminsert:8480/debug/pprof/profile` for CPU profile * `http://vmselect:8481/debug/pprof/heap` for memory profile and `http://vmselect:8481/debug/pprof/profile` for CPU profile * `http://vmstorage:8482/debug/pprof/heap` for memory profile and `http://vmstorage:8482/debug/pprof/profile` for CPU profile Example command for collecting cpu profile from `vmstorage`: ```bash curl -s http://vmstorage:8482/debug/pprof/profile > cpu.pprof ``` Example command for collecting memory profile from `vminsert`: ```bash curl -s http://vminsert:8480/debug/pprof/heap > mem.pprof ``` ## Community and contributions We are open to third-party pull requests provided they follow the [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 to the `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 unforeseen edge cases. See [replication docs](#replication-and-data-safety) for details. - 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.