[DOCS] Updates to make GS minidoc build.

Original commit: elastic/x-pack-elasticsearch@04c168e653
This commit is contained in:
Deb Adair 2017-07-19 13:52:34 -07:00
parent e0fe6da303
commit 3ace57d512
4 changed files with 183 additions and 16 deletions

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To secure a cluster, you must install {xpack} on every node in the
cluster. Basic authentication is enabled by default--to communicate
with the cluster, you must specify a username and password.
Unless you <<anonymous-access, enable anonymous access>>, all
Unless you {xpack-ref}/anonymous-access.html[enable anonymous access], all
requests that don't include a user name and password are rejected.
{security} provides a built-in `elastic` superuser you can use
@ -95,19 +95,19 @@ xpack.security.audit.enabled: true
By default, events are logged to a dedicated `elasticsearch-access.log` file in
`ES_HOME/logs`. You can also store the events in an Elasticsearch index for
easier analysis and control what events are logged. For more information, see
<<auditing, Configuring Auditing>>.
{xpack-ref}/auditing.html[Configuring Auditing].
--
[[moving-on]]
IMPORTANT: Once you get these basic security measures in place, we strongly
recommend that you secure communications to and from nodes by
configuring your cluster to use <<ssl-tls, SSL/TLS encryption>>.
configuring your cluster to use {xpack-ref}/ssl-tls.html[SSL/TLS encryption].
Nodes that do not have encryption enabled send passwords in plain
text!
Depending on your security requirements, you might also want to:
* Integrate with <<ldap-realm, LDAP>> or <<active-directory-realm, Active Directory>>,
or <<pki-realm, require certificates>> for authentication.
* Use <<ip-filtering, IP Filtering>> to allow or deny requests from particular
* Integrate with {xpack-ref}/ldap-realm.html[LDAP] or {xpack-ref}/active-directory-realm.html[Active Directory],
or {xpack-ref}/pki-realm.html[require certificates] for authentication.
* Use {xpack-ref}/ip-filtering.html[IP Filtering] to allow or deny requests from particular
IP addresses or address ranges.

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[[xpack-security]]
= Securing Elasticsearch and Kibana
[partintro]
--
{security} enables you to easily secure a cluster. With Security,
you can password-protect your data as well as implement more advanced security
measures such as encrypting communications, role-based access control,
IP filtering, and auditing. This guide describes how to configure the security
features you need, and interact with your secured cluster.
Security protects Elasticsearch clusters by:
* <<preventing-unauthorized-access, Preventing unauthorized access>>
with password protection, role-based access control, and IP filtering.
* <<preserving-data-integrity, Preserving the integrity of your data>>
with message authentication and SSL/TLS encryption.
* <<maintaining-audit-trail, Maintaining an audit trail>>
so you know who's doing what to your cluster and the data it stores.
[float]
[[preventing-unauthorized-access]]
=== Preventing Unauthorized Access
To prevent unauthorized access to your Elasticsearch cluster, you must have a
way to _authenticate_ users. This simply means that you need a way to validate
that a user is who they claim to be. For example, you have to make sure only
the person named _Kelsey Andorra_ can sign in as the user `kandorra`. X-Pack
Security provides a standalone authentication mechanism that enables you to
quickly password-protect your cluster. If you're already using {xpack-ref}/ldap-realm.html[LDAP],
{xpack-ref}/active-directory-realm.html[ Active Directory], or {xpack-ref}/pki-realm.html[ PKI] to manage
users in your organization, {security} is able to integrate with those
systems to perform user authentication.
In many cases, simply authenticating users isn't enough. You also need a way to
control what data users have access to and what tasks they can perform. {security}
enables you to _authorize_ users by assigning access _privileges_ to _roles_,
and assigning those roles to users. For example, this
{xpack-ref}/authorization.html[role-based access control] mechanism (a.k.a RBAC) enables
you to specify that the user `kandorra` can only perform read operations on the
`events` index and can't do anything at all with other indices.
{security} also supports {xpack-ref}/ip-filtering.html[ IP-based authorization]. You can
whitelist and blacklist specific IP addresses or subnets to control network-level
access to a server.
[float]
[[preserving-data-integrity]]
=== Preserving Data Integrity
A critical part of security is keeping confidential data confidential.
Elasticsearch has built-in protections against accidental data loss and
corruption. However, there's nothing to stop deliberate tampering or data
interception. {security} preserves the integrity of your data by
{xpack-ref}/ssl-tls.html[encrypting communications] to and from nodes and
{xpack-ref}/enable-message-authentication.html[authenticating message] to verify that they
have not been tampered with or corrupted in transit during node-to-node
communication. For even greater protection, you can increase the
{xpack-ref}/ciphers.html[encryption strength] and
{xpack-ref}/separating-node-client-traffic.html[separate client traffic from node-to-node communications].
[float]
[[maintaining-audit-trail]]
=== Maintaining an Audit Trail
Keeping a system secure takes vigilance. By using {security} to maintain
an audit trail, you can easily see who is accessing your cluster and what they're
doing. By analyzing access patterns and failed attempts to access your cluster,
you can gain insights into attempted attacks and data breaches. Keeping an
auditable log of the activity in your cluster can also help diagnose operational
issues.
[float]
=== Where to Go Next
* <<security-getting-started, Getting Started>>
steps through how to install and start using Security for basic authentication.
* {xpack-ref}/how-security-works.html[How Security Works]
provides more information about how Security supports user authentication,
authorization, and encryption.
* {xpack-ref}/tribe-clients-integrations.html[Integrations]
shows you how to interact with an Elasticsearch cluster protected by
X-Pack Security.
* {xpack-ref}/security-reference.html[Reference]
provides detailed information about the access privileges you can grant to
users, the settings you can configure for Security in `elasticsearch.yml`,
and the files where Security configuration information is stored.
[float]
=== Have Comments, Questions, or Feedback?
Head over to our {security-forum}[Security Discussion Forum]
to share your experience, questions, and suggestions.
--
include::getting-started.asciidoc[]

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@ -17,12 +17,12 @@ condition is met.
[[log-add-input]]
=== Schedule the Watch and Define an Input
A watch <<trigger-schedule, schedule>> controls how often a watch is triggered.
The watch <<input, input>> gets the data that you want to evaluate.
A watch {xpack-ref}/trigger-schedule.html[schedule] controls how often a watch is triggered.
The watch {xpack-ref}/input.html[input] gets the data that you want to evaluate.
To periodically search log data and load the results into the
watch, you could use an <<schedule-interval, interval>> schedule and a
<<input-search, search>> input. For example, the following Watch searches
watch, you could use an {xpack-ref}/schedule-interval.html[interval] schedule and a
{xpack-ref}/input-search.html[search] input. For example, the following Watch searches
the `logs` index for errors every 10 seconds:
[source,js]
@ -49,7 +49,7 @@ PUT _xpack/watcher/watch/log_error_watch
// CONSOLE
<1> Schedules are typically configured to run less frequently. This example sets
the interval to 10 seconds so you can easily see the watches being triggered.
Since this watch runs so frequently, don't forget to <<log-delete, delete the watch>>
Since this watch runs so frequently, don't forget to {xpack-ref}/log-delete.html[delete the watch]
when you're done experimenting.
If you check the watch history you'll see that the watch is being triggered every
@ -75,7 +75,7 @@ GET .watcher-history*/_search?pretty
[[log-add-condition]]
=== Add a Condition
A <<condition, condition>> evaluates the data you've loaded into the watch and
A {xpack-ref}/condition.html[condition] evaluates the data you've loaded into the watch and
determines if any action is required. Now that you've loaded log errors into
the watch, you can define a condition that checks to see if any errors were
found.
@ -106,7 +106,7 @@ PUT _xpack/watcher/watch/log_error_watch
}
--------------------------------------------------
// CONSOLE
<1> The <<condition-compare, compare>> condition lets you easily compare against
<1> The {xpack-ref}/condition-compare.html[compare] condition lets you easily compare against
values in the execution context.
For this compare condition to evaluate to `true`, you need to add an event
@ -154,7 +154,7 @@ GET .watcher-history*/_search?pretty
Recording watch records in the watch history is nice, but the real power of
{watcher} is being able to do something when the watch condition is met. A
watch's <<actions, actions>> define what to do when the watch condition
watch's {xpack-ref}/actions.html[actions] define what to do when the watch condition
evaluates to `true`. You can send emails, call third-party webhooks, write
documents to an Elasticsearch index, or log messages to the standard
Elasticsearch log files.
@ -226,9 +226,9 @@ allowed to execute read-only watch operations.
[[next-steps]]
=== Where to Go Next
* See <<how-watcher-works, How {watcher} Works>> for more information about the
* See {xpack-ref}/how-watcher-works.html[How {watcher} Works] for more information about the
anatomy of a watch and the watch lifecycle.
* See <<example-watches, Example Watches>> for more examples of setting up
* See {xpack-ref}/example-watches.html[Example Watches] for more examples of setting up
a watch.
* See the https://github.com/elastic/examples/tree/master/Alerting[Example
Watches] in the Elastic Examples repo for additional sample watches you can use

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[[xpack-alerting]]
= Alerting on Cluster and Index Events
[partintro]
--
You can watch for changes or anomalies in your data and perform the necessary
actions in response. For example, you might want to:
* Monitor social media as another way to detect failures in user-facing
automated systems like ATMs or ticketing systems. When the number of tweets
and posts in an area exceeds a threshold of significance, notify a service
technician.
* Monitor your infrastructure, tracking disk usage over time. Open a helpdesk
ticket when any servers are likely to run out of free space in the next few
days.
* Track network activity to detect malicious activity, and proactively change
firewall configuration to reject the malicious user.
* Monitor Elasticsearch, and send immediate notification to the system
administrator if nodes leave the cluster or query throughput exceeds an
expected range.
* Track application response times and if page-load time exceeds SLAs for more
than 5 minutes, open a helpdesk ticket. If SLAs are exceeded for an hour,
page the administrator on duty.
All of these use-cases share a few key properties:
* The relevant data or changes in data can be identified with a periodic
Elasticsearch query.
* The results of the query can be checked against a condition.
* One or more actions are taken if the condition is true -- an email is sent, a
3rd party system is notified, or the query results are stored.
[float]
=== How Watches Work
{xpack} provides an API for creating, managing and testing _watches_. A watch
describes a single alert and can contain multiple notification actions.
A watch is constructed from four simple building blocks:
Schedule:: A schedule for running a query and checking the condition.
Query:: The query to run as input to the condition. Watches
support the full Elasticsearch query language, including
aggregations.
Condition:: A condition that determines whether or not to execute the actions.
You can use simple conditions (always true), or use scripting for
more sophisticated scenarios.
Actions:: One or more actions, such as sending email, pushing data to
3rd party systems through a webhook, or indexing the results of
the query.
A full history of all watches is maintained in an Elasticsearch index. This
history keeps track of each time a watch is triggered and records the results
from the query, whether the condition was met, and what actions were taken.
--
include::getting-started.asciidoc[]