@@ -25,6 +25,13 @@ ZooKeeper to {es}.
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include::{kib-repo-dir}/glossary.asciidoc[tag=advanced-settings-def]
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--
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+ [[glossary-agent-policy]] Agent policy::
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+ A collection of inputs and settings that defines the data to be collected by {agent}.
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+ An agent policy can be applied to a single agent or shared by a group of agents;
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+ this makes it easier to manage many agents at scale.
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+ See {fleet-guide}/agent-policy.html[{agent} policies].
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+ //Source: Observability
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+
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[[glossary-allocator]] allocator::
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Manages hosts that contain {es} and {kib} nodes. Controls the lifecycle of these
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nodes by creating new <<glossary-container,containers>> and managing the nodes
@@ -260,9 +267,9 @@ include::{es-repo-dir}/glossary.asciidoc[tag=ccs-def]
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--
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[[glossary-custom-rules]] custom rules::
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- A set of conditions and actions that change the behavior of {anomaly-jobs}. You
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+ A set of conditions and actions that change the behavior of {anomaly-jobs}. You
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can also use filters to further limit the scope of the rules. See
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- {ml-docs}/ml-rules.html[Custom rules]. {kib} refers to custom rules as job
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+ {ml-docs}/ml-rules.html[Custom rules]. {kib} refers to custom rules as job
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rules.
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//Source: Machine learning
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@@ -281,6 +288,12 @@ include::{kib-repo-dir}/glossary.asciidoc[tag=dashboard-def]
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real time. {dfeeds-cap} retrieve data from {es} for analysis.
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//Source: X-Pack
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+ [[glossary-dataset]] dataset::
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+ A collection of data that has the same structure.
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+ The name of a dataset typically signifies its source.
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+ See {fleet-guide}/data-streams.html[data stream naming scheme].
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+ //Source: Observability
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+
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[[glossary-dataframe-job]] {dfanalytics-job}::
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{dfanalytics-jobs-cap} contain the configuration information and metadata
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necessary to perform {ml} analytics tasks on a source index and store the
@@ -358,6 +371,11 @@ include::{es-repo-dir}/glossary.asciidoc[tag=document-def]
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include::{kib-repo-dir}/glossary.asciidoc[tag=edge-def]
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--
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+ [[glossary-{agent}]] {agent}::
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+ A single, unified agent that you can deploy to hosts or containers to collect data and protect endpoints.
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+ See {fleet-guide}/fleet-overview.html[{agent} overview].
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+ //Source: Observability
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+
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[[glossary-ecs]] Elastic Common Schema (ECS)::
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A document schema for Elasticsearch, for use cases such as logging and metrics.
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ECS defines a common set of fields, their datatype, and gives guidance on their
@@ -370,6 +388,11 @@ different sources.
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include::{kib-repo-dir}/glossary.asciidoc[tag=ems-def]
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--
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+ [[glossary-epr]] Elastic Package Registry (EPR)::
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+ A service hosted by Elastic that stores Elastic package definitions in a central ___location.
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+ See the https://github.com/elastic/package-registry[EPR GitHub repository].
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+ //Source: Observability
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+
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[[glossary-element]] element::
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+
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--
@@ -454,6 +477,16 @@ depending on the characteristics of the event. Popular filter plugins include
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grok, mutate, drop, clone, and geoip. Filter stages are optional.
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//Source: Logstash
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+ [[glossary-fleet]] Fleet::
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+ Fleet provides a way to centrally manage {agent}s at scale. There are two parts: The Fleet app in {kib} provides a web-based UI to add and remotely manage agents, while the {fleet-server} provides the backend service that manages agents.
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+ See {fleet-guide}/fleet-overview.html[{agent} overview].
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+ //Source: Observability
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+
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+ [[glossary-{fleet-server}]] {fleet-server}::
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+ {fleet-server} is a component used to centrally manage {agent}s.
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+ It serves as a control plane for updating agent policies, collecting status information, and coordinating actions across agents.
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+ //Source: Observability
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+
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[[glossary-flush]] flush::
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+
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--
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//Source: Logstash
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[[glossary-inference]] inference::
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- A {ml} feature that enables you to use supervised learning processes – like
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- {regression} and {classification} – in a continuous fashion by using
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+ A {ml} feature that enables you to use supervised learning processes – like
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+ {regression} and {classification} – in a continuous fashion by using
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<<glossary-trained-model,trained models>> against incoming data.
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//Source: Machine learning
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[[glossary-inference-aggregation]] inference aggregation::
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- A pipeline aggregation that references a <<glossary-trained-model>> in an
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- aggregation to infer on the results field of the parent bucket aggregation. It
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+ A pipeline aggregation that references a <<glossary-trained-model>> in an
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+ aggregation to infer on the results field of the parent bucket aggregation. It
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enables you to use supervised {ml} at search time.
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//Source: Machine learning
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[[glossary-inference-processor]] inference processor::
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- A processor specified in an ingest pipeline that uses a
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- <<glossary-trained-model>> to infer against the data that is being ingested in
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+ A processor specified in an ingest pipeline that uses a
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+ <<glossary-trained-model>> to infer against the data that is being ingested in
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the pipeline.
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//Source: Machine learning
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@@ -662,8 +695,15 @@ Code is considered instrumented when it collects and reports this performance da
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//Source: Observability
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[[glossary-integration]] integration::
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- Out-of-the-box configurations for common data sources to simplify the collection,
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- parsing, and visualization of logs and metrics. Also known as a <<glossary-module,module>>.
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+
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+ An easy way for external systems to connect to the {stack}.
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+ Whether it's collecting data or protecting systems from security threats,
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+ integrations provide out-of-the-box assets to make setup easy--many with just a single click.
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+ //Source: Observability
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+
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+ [[glossary-integration-policy]] integration policy::
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+ An instance of an <<glossary-integration,integration>> that is configured for a specific use case,
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+ such as collecting logs from a specific file.
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//Source: Observability
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[discrete]
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[[glossary-module]] module::
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Out-of-the-box configurations for common data sources to simplify the collection,
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- parsing, and visualization of logs and metrics. Also known as an <<glossary-integration,integration>>.
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+ parsing, and visualization of logs and metrics.
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//Source: Observability
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[[glossary-monitor]] monitor::
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[[n-glos]]
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=== N
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+ [[glossary-namespace]] namespace::
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+ A user-configurable arbitrary data grouping, such as an environment (`dev`, `prod`, or `qa`),
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+ a team, or a strategic business unit.
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+ //Source: Observability
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+
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[[glossary-node]] node::
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+
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--
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include::{es-repo-dir}/glossary.asciidoc[tag=split-def]
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--
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+ [[glossary-standalone]] standalone::
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+ This mode allows manual configuration and management of {agent}s locally
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+ on the systems where they are installed.
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+ See {fleet-guide}/run-elastic-agent-standalone.html[Run {agent} standalone].
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+ //Source: Observability
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+
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[[glossary-stunnel]] stunnel::
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Securely tunnels all traffic in an {ece} installation.
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//Source: Cloud
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--
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[[glossary-trained-model]] trained model::
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- A {ml} model that is trained and tested against a labelled data set and can be
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- referenced in an ingest pipeline or in a pipeline aggregation to perform
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- {classification} or {reganalysis} on new data. See
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+ A {ml} model that is trained and tested against a labelled data set and can be
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+ referenced in an ingest pipeline or in a pipeline aggregation to perform
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+ {classification} or {reganalysis} on new data. See
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{ml-docs}/ml-trained-models.html[Trained models].
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//Source: Machine learning
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