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management vector documentation docs guides components download blog support observability pipelines toggle dark mode search x 𝕏 github chat rss updates open navbar dropdown menu docs guides components download blog support observability pipelines x 𝕏 github chat rss updates docs home introduction concepts setup quickstart installation package managers apt dpkg helm homebrew msi nix pacman rpm yum platforms docker kubernetes operating systems amazon linux arch linux centos debian macos nixos raspbian rhel ubuntu windows manual from archives from source vector installer deployment roles topologies going to production reference architectures aggregator architecture agent architecture unified architecture architecting hardening high availability rollout sizing and capacity planning architecture data model log events metric events pipeline model runtime model buffering model concurrency model adaptive concurrency guarantees end to end acknowledgements administration management monitoring validating optimization pgo reference vector remap language functions errors examples expressions configuration sources amqp apache metrics aws ecs metrics aws kinesis firehose aws s3 aws sqs datadog agent demo logs dnstap docker logs eventstoredb metrics exec file file descriptor fluent gcp pubsub heroku logplex host metrics http client http server internal logs internal metrics journald kafka kubernetes logs logstash mongodb metrics mqtt nats nginx metrics okta opentelemetry postgresql metrics prometheus pushgateway prometheus remote write prometheus scrape pulsar redis socket splunk hec static metrics statsd stdin syslog vector websocket windows event log transforms remap with vrl aggregate aws ec2 metadata dedupe delay exclusive route filter incremental to absolute log to metric lua metric to log reduce route sample tag cardinality limit throttle trace to log window sinks amqp appsignal aws cloudwatch logs aws cloudwatch metrics aws kinesis data firehose logs aws kinesis streams logs aws s3 aws sns aws sqs axiom azure blob storage azure logs ingestion azure monitor logs blackhole clickhouse console databend databricks zerobus datadog events datadog logs datadog metrics datadog traces doris elasticsearch file gcp chronicle unstructured gcp cloud monitoring formerly stackdriver gcp cloud storage gcp stackdriver gcp pubsub greptimedb logs greptimedb metrics honeycomb http humio logs humio metrics influxdb logs influxdb metrics kafka keep loki mezmo formerly logdna mqtt nats new relic opentelemetry papertrail postgres prometheus exporter prometheus remote write pulsar redis sematext logs sematext metrics socket splunk hec logs splunk hec metrics statsd vector webhdfs websocket websocket server global options pipeline components tls configuration api unit tests schema template syntax secrets cli environment variables api glossary meta security releases versioning vector docs home administration management management how to start stop reload and restart your vector instance the sections below show you how to administer your vector instance start stop reload etc in a variety of settings vector executable no process manager linux systemctl process manager macos homebrew service manager windows docker kubernetes with helm vector executable to manage the vector executable directly without a process manager start reload killall s sighup vector vector config etc vector vector yaml or supply a json or yaml config file linux apt dpkg rpm yum pacman if you ve installed vector using apt dpkg rpm yum or pacman you can manage it using systemctl start stop reload restart systemctl kill s hup kill who main vector service sudo systemctl restart vector sudo systemctl start vector sudo systemctl stop vector nix if you ve installed vector using nix you can manage it using the commands laid out in the vector executable section macos if you re running vector on macos you can manage it using either the executable commands or homebrew homebrew if you ve installed vector using homebrew you can manage it using homebrew s services utility start stop reload restart killall s sighup vector brew services restart vector brew services start vector brew services stop vector windows if you re running vector on windows perhaps you installed it using msi you can manage it using these commands start c program files vector bin vector config c program files vector config vector yaml or supply a toml or json config file docker if you re running vector using docker the command interface is the same across all platforms start stop reload restart docker kill signal hup timberio vector docker restart f docker ps aqf name vector docker run d v vector yaml etc vector vector yaml ro p 8686 8686 timberio vector 0 56 0 alpine docker stop timberio vector the commands above involve configuring vector using yaml but you can also use toml or json you can also use one of three image variants the commands assume alpine variant image basis alpine alpine a linux distro built around musl libc and busybox debian the debian slim image which is a smaller and more compact version of the standard debian image distroless the distroless project which provides extremely lean images with no package managers shells or other inessential utilities helm to get vector running on kubernetes using the helm package manager install vector using helm once vector is running in kubernetes you can manage it using kubectl restart agent restart aggregator kubectl rollout restart namespace vector daemonset vector agent kubectl rollout restart namespace vector statefulset vector aggregator reloading as you can see above many administrative interfaces for vector enable you to trigger a restart of a vector instance while it s running there are a few things that you should know about reloading automatic reloading on configuration change you can make vector automatically reload itself when its configuration file changes by setting the watch config or w flag when you first start your vector instance additionally you can add method for watching config change by setting the watch config method to recommended or poll recommended is default and it uses file event listener for file change events poll can used where the event listener won t work eg attaching config files by nfs efs which will poll for file changes on certain interval you can set the poll interval by setting flag watch config poll interval seconds which defaults to 30 how it works running vector instances accept the ipc signals and produce the exit codes listed below signals the vector is built to handle the inter process communication signals listed in the table below signal description sighup reloads configuration on the fly sigterm initiates graceful shutdown process exit codes you can find a full list of exit codes in the exitcodes rust crate vector uses the codes listed in the table below code description 0 exited successfully 1 exited with a generic error 78 configuration is invalid on this page close docs slideover panel docs home introduction concepts setup quickstart installation package managers apt dpkg helm homebrew msi nix pacman rpm yum platforms docker kubernetes operating systems amazon linux arch linux centos debian macos nixos raspbian rhel ubuntu windows manual from archives from source vector installer deployment roles topologies going to production reference architectures aggregator architecture agent architecture unified architecture architecting hardening high availability rollout sizing and capacity planning architecture data model log events metric events pipeline model runtime model buffering model concurrency model adaptive concurrency guarantees end to end acknowledgements administration management monitoring validating optimization pgo reference vector remap language functions errors examples expressions configuration sources amqp apache metrics aws ecs metrics aws kinesis firehose aws s3 aws sqs datadog agent demo logs dnstap docker logs eventstoredb metrics exec file file descriptor fluent gcp pubsub heroku logplex host metrics http client http server internal logs internal metrics journald kafka kubernetes logs logstash mongodb metrics mqtt nats nginx metrics okta opentelemetry postgresql metrics prometheus pushgateway prometheus remote write prometheus scrape pulsar redis socket splunk hec static metrics statsd stdin syslog vector websocket windows event log transforms remap with vrl aggregate aws ec2 metadata dedupe delay exclusive route filter incremental to absolute log to metric lua metric to log reduce route sample tag cardinality limit throttle trace to log window sinks amqp appsignal aws cloudwatch logs aws cloudwatch metrics aws kinesis data firehose logs aws kinesis streams logs aws s3 aws sns aws sqs axiom azure blob storage azure logs ingestion azure monitor logs blackhole clickhouse console databend databricks zerobus datadog events datadog logs datadog metrics datadog traces doris elasticsearch file gcp chronicle unstructured gcp cloud monitoring formerly stackdriver gcp cloud storage gcp stackdriver gcp pubsub greptimedb logs greptimedb metrics honeycomb http humio logs humio metrics influxdb logs influxdb metrics kafka keep loki mezmo formerly logdna mqtt nats new relic opentelemetry papertrail postgres prometheus exporter prometheus remote write pulsar redis sematext logs sematext metrics socket splunk hec logs splunk hec metrics statsd vector webhdfs websocket websocket server global options pipeline components tls configuration api unit tests schema template syntax secrets cli environment variables api glossary meta security releases versioning sign up to receive emails on the latest vector content and new releases thank you for joining our updates newsletter next monitoring vector site footer about vector contact us the team privacy cookies components sources transforms sinks setup installation deployment configuration administration going to prod community github x chat download releases 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