Chapter 7. Forwarding logs to external third-party logging systems
By default, OpenShift Logging sends container and infrastructure logs to the default internal Elasticsearch log store defined in the ClusterLogging
custom resource. However, it does not send audit logs to the internal store because it does not provide secure storage. If this default configuration meets your needs, you do not need to configure the Cluster Log Forwarder.
To send logs to other log aggregators, you use the OpenShift Container Platform Cluster Log Forwarder. This API enables you to send container, infrastructure, and audit logs to specific endpoints within or outside your cluster. In addition, you can send different types of logs to various systems so that various individuals can access each type. You can also enable Transport Layer Security (TLS) support to send logs securely, as required by your organization.
To send audit logs to the default internal Elasticsearch log store, use the Cluster Log Forwarder as described in Forward audit logs to the log store.
7.1. About forwarding logs to third-party systems
Forwarding cluster logs to external third-party systems requires a combination of outputs and pipelines specified in a ClusterLogForwarder
custom resource (CR) to send logs to specific endpoints inside and outside of your OpenShift Container Platform cluster. You can also use inputs to forward the application logs associated with a specific project to an endpoint.
An output is the destination for log data that you define, or where you want the logs sent. An output can be one of the following types:
-
elasticsearch
. An external Elasticsearch instance. Theelasticsearch
output can use a TLS connection. -
fluentdForward
. An external log aggregation solution that supports Fluentd. This option uses the Fluentd forward protocols. ThefluentForward
output can use a TCP or TLS connection and supports shared-key authentication by providing a shared_key field in a secret. Shared-key authentication can be used with or without TLS. -
syslog
. An external log aggregation solution that supports the syslog RFC3164 or RFC5424 protocols. Thesyslog
output can use a UDP, TCP, or TLS connection. -
cloudwatch
. Amazon CloudWatch, a monitoring and log storage service hosted by Amazon Web Services (AWS). -
loki
. Loki, a horizontally scalable, highly available, multi-tenant log aggregation system. -
kafka
. A Kafka broker. Thekafka
output can use a TCP or TLS connection. -
default
. The internal OpenShift Container Platform Elasticsearch instance. You are not required to configure the default output. If you do configure adefault
output, you receive an error message because thedefault
output is reserved for the Red Hat OpenShift Logging Operator.
If the output URL scheme requires TLS (HTTPS, TLS, or UDPS), then TLS server-side authentication is enabled. To also enable client authentication, the output must name a secret in the
openshift-logging
project. The secret must have keys of: tls.crt, tls.key, and ca-bundle.crt that point to the respective certificates that they represent.-
A pipeline defines simple routing from one log type to one or more outputs, or which logs you want to send. The log types are one of the following:
-
application
. Container logs generated by user applications running in the cluster, except infrastructure container applications. -
infrastructure
. Container logs from pods that run in theopenshift*
,kube*
, ordefault
projects and journal logs sourced from node file system. -
audit
. Audit logs generated by the node audit system,auditd
, Kubernetes API server, OpenShift API server, and OVN network.
You can add labels to outbound log messages by using
key:value
pairs in the pipeline. For example, you might add a label to messages that are forwarded to others data centers or label the logs by type. Labels that are added to objects are also forwarded with the log message.-
- An input forwards the application logs associated with a specific project to a pipeline.
In the pipeline, you define which log types to forward using an inputRef
parameter and where to forward the logs to using an outputRef
parameter.
Note the following:
-
If a
ClusterLogForwarder
CR object exists, logs are not forwarded to the default Elasticsearch instance, unless there is a pipeline with thedefault
output. -
By default, OpenShift Logging sends container and infrastructure logs to the default internal Elasticsearch log store defined in the
ClusterLogging
custom resource. However, it does not send audit logs to the internal store because it does not provide secure storage. If this default configuration meets your needs, do not configure the Log Forwarding API. -
If you do not define a pipeline for a log type, the logs of the undefined types are dropped. For example, if you specify a pipeline for the
application
andaudit
types, but do not specify a pipeline for theinfrastructure
type,infrastructure
logs are dropped. -
You can use multiple types of outputs in the
ClusterLogForwarder
custom resource (CR) to send logs to servers that support different protocols. - The internal OpenShift Container Platform Elasticsearch instance does not provide secure storage for audit logs. We recommend you ensure that the system to which you forward audit logs is compliant with your organizational and governmental regulations and is properly secured. OpenShift Logging does not comply with those regulations.
- You are responsible for creating and maintaining any additional configurations that external destinations might require, such as keys and secrets, service accounts, port openings, or global proxy configuration.
The following example forwards the audit logs to a secure external Elasticsearch instance, the infrastructure logs to an insecure external Elasticsearch instance, the application logs to a Kafka broker, and the application logs from the my-apps-logs
project to the internal Elasticsearch instance.
Sample log forwarding outputs and pipelines
apiVersion: "logging.openshift.io/v1" kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: elasticsearch-secure 3 type: "elasticsearch" url: https://elasticsearch.secure.com:9200 secret: name: elasticsearch - name: elasticsearch-insecure 4 type: "elasticsearch" url: http://elasticsearch.insecure.com:9200 - name: kafka-app 5 type: "kafka" url: tls://kafka.secure.com:9093/app-topic inputs: 6 - name: my-app-logs application: namespaces: - my-project pipelines: - name: audit-logs 7 inputRefs: - audit outputRefs: - elasticsearch-secure - default parse: json 8 labels: secure: "true" 9 datacenter: "east" - name: infrastructure-logs 10 inputRefs: - infrastructure outputRefs: - elasticsearch-insecure labels: datacenter: "west" - name: my-app 11 inputRefs: - my-app-logs outputRefs: - default - inputRefs: 12 - application outputRefs: - kafka-app labels: datacenter: "south"
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Configuration for an secure Elasticsearch output using a secret with a secure URL.
- A name to describe the output.
-
The type of output:
elasticsearch
. - The secure URL and port of the Elasticsearch instance as a valid absolute URL, including the prefix.
-
The secret required by the endpoint for TLS communication. The secret must exist in the
openshift-logging
project.
- 4
- Configuration for an insecure Elasticsearch output:
- A name to describe the output.
-
The type of output:
elasticsearch
. - The insecure URL and port of the Elasticsearch instance as a valid absolute URL, including the prefix.
- 5
- Configuration for a Kafka output using a client-authenticated TLS communication over a secure URL
- A name to describe the output.
-
The type of output:
kafka
. - Specify the URL and port of the Kafka broker as a valid absolute URL, including the prefix.
- 6
- Configuration for an input to filter application logs from the
my-project
namespace. - 7
- Configuration for a pipeline to send audit logs to the secure external Elasticsearch instance:
- A name to describe the pipeline.
-
The
inputRefs
is the log type, in this exampleaudit
. -
The
outputRefs
is the name of the output to use, in this exampleelasticsearch-secure
to forward to the secure Elasticsearch instance anddefault
to forward to the internal Elasticsearch instance. - Optional: Labels to add to the logs.
- 8
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 9
- Optional: String. One or more labels to add to the logs. Quote values like "true" so they are recognized as string values, not as a boolean.
- 10
- Configuration for a pipeline to send infrastructure logs to the insecure external Elasticsearch instance.
- 11
- Configuration for a pipeline to send logs from the
my-project
project to the internal Elasticsearch instance.- A name to describe the pipeline.
-
The
inputRefs
is a specific input:my-app-logs
. -
The
outputRefs
isdefault
. - Optional: String. One or more labels to add to the logs.
- 12
- Configuration for a pipeline to send logs to the Kafka broker, with no pipeline name:
-
The
inputRefs
is the log type, in this exampleapplication
. -
The
outputRefs
is the name of the output to use. - Optional: String. One or more labels to add to the logs.
-
The
Fluentd log handling when the external log aggregator is unavailable
If your external logging aggregator becomes unavailable and cannot receive logs, Fluentd continues to collect logs and stores them in a buffer. When the log aggregator becomes available, log forwarding resumes, including the buffered logs. If the buffer fills completely, Fluentd stops collecting logs. OpenShift Container Platform rotates the logs and deletes them. You cannot adjust the buffer size or add a persistent volume claim (PVC) to the Fluentd daemon set or pods.
Supported Authorization Keys
Common key types are provided here. Some output types support additional specialized keys, documented with the output-specific configuration field. All secret keys are optional. Enable the security features you want by setting the relevant keys. You are responsible for creating and maintaining any additional configurations that external destinations might require, such as keys and secrets, service accounts, port openings, or global proxy configuration. Open Shift Logging will not attempt to verify a mismatch between authorization combinations.
- Transport Layer Security (TLS)
Using a TLS URL ('http://…' or 'ssl://…') without a Secret enables basic TLS server-side authentication. Additional TLS features are enabled by including a Secret and setting the following optional fields:
-
tls.crt
: (string) File name containing a client certificate. Enables mutual authentication. Requirestls.key
. -
tls.key
: (string) File name containing the private key to unlock the client certificate. Requirestls.crt
. -
passphrase
: (string) Passphrase to decode an encoded TLS private key. Requirestls.key
. -
ca-bundle.crt
: (string) File name of a customer CA for server authentication.
-
- Username and Password
-
username
: (string) Authentication user name. Requirespassword
. -
password
: (string) Authentication password. Requiresusername
.
-
- Simple Authentication Security Layer (SASL)
-
sasl.enable
(boolean) Explicitly enable or disable SASL. If missing, SASL is automatically enabled when any of the othersasl.
keys are set. -
sasl.mechanisms
: (array) List of allowed SASL mechanism names. If missing or empty, the system defaults are used. -
sasl.allow-insecure
: (boolean) Allow mechanisms that send clear-text passwords. Defaults to false.
-
7.1.1. Creating a Secret
You can create a secret in the directory that contains your certificate and key files by using the following command:
$ oc create secret generic -n openshift-logging <my-secret> \ --from-file=tls.key=<your_key_file> --from-file=tls.crt=<your_crt_file> --from-file=ca-bundle.crt=<your_bundle_file> --from-literal=username=<your_username> --from-literal=password=<your_password>
Generic or opaque secrets are recommended for best results.
7.2. Supported log data output types in OpenShift Logging 5.1
Red Hat OpenShift Logging 5.1 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
elasticsearch | elasticsearch | Elasticsearch 6.8.1 Elasticsearch 6.8.4 Elasticsearch 7.12.2 |
fluentdForward | fluentd forward v1 | fluentd 1.7.4 logstash 7.10.1 |
kafka | kafka 0.11 | kafka 2.4.1 kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
Previously, the syslog output supported only RFC-3164. The current syslog output adds support for RFC-5424.
7.3. Supported log data output types in OpenShift Logging 5.2
Red Hat OpenShift Logging 5.2 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
Amazon CloudWatch | REST over HTTPS | The current version of Amazon CloudWatch |
elasticsearch | elasticsearch | Elasticsearch 6.8.1 Elasticsearch 6.8.4 Elasticsearch 7.12.2 |
fluentdForward | fluentd forward v1 | fluentd 1.7.4 logstash 7.10.1 |
Loki | REST over HTTP and HTTPS | Loki 2.3.0 deployed on OCP and Grafana labs |
kafka | kafka 0.11 | kafka 2.4.1 kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
7.4. Supported log data output types in OpenShift Logging 5.3
Red Hat OpenShift Logging 5.3 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
Amazon CloudWatch | REST over HTTPS | The current version of Amazon CloudWatch |
elasticsearch | elasticsearch | Elasticsearch 7.10.1 |
fluentdForward | fluentd forward v1 | fluentd 1.7.4 logstash 7.10.1 |
Loki | REST over HTTP and HTTPS | Loki 2.2.1 deployed on OCP |
kafka | kafka 0.11 | kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
7.5. Supported log data output types in OpenShift Logging 5.4
Red Hat OpenShift Logging 5.4 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
Amazon CloudWatch | REST over HTTPS | The current version of Amazon CloudWatch |
elasticsearch | elasticsearch | Elasticsearch 7.10.1 |
fluentdForward | fluentd forward v1 | fluentd 1.14.5 logstash 7.10.1 |
Loki | REST over HTTP and HTTPS | Loki 2.2.1 deployed on OCP |
kafka | kafka 0.11 | kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
7.6. Supported log data output types in OpenShift Logging 5.5
Red Hat OpenShift Logging 5.5 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
Amazon CloudWatch | REST over HTTPS | The current version of Amazon CloudWatch |
elasticsearch | elasticsearch | Elasticsearch 7.10.1 |
fluentdForward | fluentd forward v1 | fluentd 1.14.6 logstash 7.10.1 |
Loki | REST over HTTP and HTTPS | Loki 2.5.0 deployed on OCP |
kafka | kafka 0.11 | kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
7.7. Supported log data output types in OpenShift Logging 5.6
Red Hat OpenShift Logging 5.6 provides the following output types and protocols for sending log data to target log collectors.
Red Hat tests each of the combinations shown in the following table. However, you should be able to send log data to a wider range target log collectors that ingest these protocols.
Output types | Protocols | Tested with |
---|---|---|
Amazon CloudWatch | REST over HTTPS | The current version of Amazon CloudWatch |
elasticsearch | elasticsearch | Elasticsearch 6.8.23 Elasticsearch 7.10.1 Elasticsearch 8.6.1 |
fluentdForward | fluentd forward v1 | fluentd 1.14.6 logstash 7.10.1 |
Loki | REST over HTTP and HTTPS | Loki 2.5.0 deployed on OCP |
kafka | kafka 0.11 | kafka 2.7.0 |
syslog | RFC-3164, RFC-5424 | rsyslog-8.39.0 |
Fluentd doesn’t support Elasticsearch 8 as of 5.6.2. Vector doesn’t support fluentd/logstash/rsyslog before 5.7.0.
7.8. Forwarding logs to an external Elasticsearch instance
You can optionally forward logs to an external Elasticsearch instance in addition to, or instead of, the internal OpenShift Container Platform Elasticsearch instance. You are responsible for configuring the external log aggregator to receive log data from OpenShift Container Platform.
To configure log forwarding to an external Elasticsearch instance, you must create a ClusterLogForwarder
custom resource (CR) with an output to that instance, and a pipeline that uses the output. The external Elasticsearch output can use the HTTP (insecure) or HTTPS (secure HTTP) connection.
To forward logs to both an external and the internal Elasticsearch instance, create outputs and pipelines to the external instance and a pipeline that uses the default
output to forward logs to the internal instance. You do not need to create a default
output. If you do configure a default
output, you receive an error message because the default
output is reserved for the Red Hat OpenShift Logging Operator.
If you want to forward logs to only the internal OpenShift Container Platform Elasticsearch instance, you do not need to create a ClusterLogForwarder
CR.
Prerequisites
- You must have a logging server that is configured to receive the logging data using the specified protocol or format.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object:apiVersion: "logging.openshift.io/v1" kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: elasticsearch-insecure 3 type: "elasticsearch" 4 url: http://elasticsearch.insecure.com:9200 5 - name: elasticsearch-secure type: "elasticsearch" url: https://elasticsearch.secure.com:9200 6 secret: name: es-secret 7 pipelines: - name: application-logs 8 inputRefs: 9 - application - audit outputRefs: - elasticsearch-secure 10 - default 11 parse: json 12 labels: myLabel: "myValue" 13 - name: infrastructure-audit-logs 14 inputRefs: - infrastructure outputRefs: - elasticsearch-insecure labels: logs: "audit-infra"
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the
elasticsearch
type. - 5
- Specify the URL and port of the external Elasticsearch instance as a valid absolute URL. You can use the
http
(insecure) orhttps
(secure HTTP) protocol. If the cluster-wide proxy using the CIDR annotation is enabled, the output must be a server name or FQDN, not an IP Address. - 6
- For a secure connection, you can specify an
https
orhttp
URL that you authenticate by specifying asecret
. - 7
- For an
https
prefix, specify the name of the secret required by the endpoint for TLS communication. The secret must exist in theopenshift-logging
project, and must have keys of: tls.crt, tls.key, and ca-bundle.crt that point to the respective certificates that they represent. Otherwise, forhttp
andhttps
prefixes, you can specify a secret that contains a username and password. For more information, see the following "Example: Setting secret that contains a username and password." - 8
- Optional: Specify a name for the pipeline.
- 9
- Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - 10
- Specify the name of the output to use when forwarding logs with this pipeline.
- 11
- Optional: Specify the
default
output to send the logs to the internal Elasticsearch instance. - 12
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 13
- Optional: String. One or more labels to add to the logs.
- 14
- Optional: Configure multiple outputs to forward logs to other external log aggregators of any supported type:
- A name to describe the pipeline.
-
The
inputRefs
is the log type to forward by using the pipeline:application,
infrastructure
, oraudit
. -
The
outputRefs
is the name of the output to use. - Optional: String. One or more labels to add to the logs.
Create the CR object:
$ oc create -f <file-name>.yaml
Example: Setting a secret that contains a username and password
You can use a secret that contains a username and password to authenticate a secure connection to an external Elasticsearch instance.
For example, if you cannot use mutual TLS (mTLS) keys because a third party operates the Elasticsearch instance, you can use HTTP or HTTPS and set a secret that contains the username and password.
Create a
Secret
YAML file similar to the following example. Use base64-encoded values for theusername
andpassword
fields. The secret type is opaque by default.apiVersion: v1 kind: Secret metadata: name: openshift-test-secret data: username: dGVzdHVzZXJuYW1lCg== password: dGVzdHBhc3N3b3JkCg==
Create the secret:
$ oc create secret -n openshift-logging openshift-test-secret.yaml
Specify the name of the secret in the
ClusterLogForwarder
CR:kind: ClusterLogForwarder metadata: name: instance namespace: openshift-logging spec: outputs: - name: elasticsearch type: "elasticsearch" url: https://elasticsearch.secure.com:9200 secret: name: openshift-test-secret
NoteIn the value of the
url
field, the prefix can behttp
orhttps
.Create the CR object:
$ oc create -f <file-name>.yaml
7.9. Forwarding logs using the Fluentd forward protocol
You can use the Fluentd forward protocol to send a copy of your logs to an external log aggregator that is configured to accept the protocol instead of, or in addition to, the default Elasticsearch log store. You are responsible for configuring the external log aggregator to receive the logs from OpenShift Container Platform.
To configure log forwarding using the forward protocol, you must create a ClusterLogForwarder
custom resource (CR) with one or more outputs to the Fluentd servers, and pipelines that use those outputs. The Fluentd output can use a TCP (insecure) or TLS (secure TCP) connection.
Alternately, you can use a config map to forward logs using the forward protocols. However, this method is deprecated in OpenShift Container Platform and will be removed in a future release.
Prerequisites
- You must have a logging server that is configured to receive the logging data using the specified protocol or format.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object:apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: fluentd-server-secure 3 type: fluentdForward 4 url: 'tls://fluentdserver.security.example.com:24224' 5 secret: 6 name: fluentd-secret - name: fluentd-server-insecure type: fluentdForward url: 'tcp://fluentdserver.home.example.com:24224' pipelines: - name: forward-to-fluentd-secure 7 inputRefs: 8 - application - audit outputRefs: - fluentd-server-secure 9 - default 10 parse: json 11 labels: clusterId: "C1234" 12 - name: forward-to-fluentd-insecure 13 inputRefs: - infrastructure outputRefs: - fluentd-server-insecure labels: clusterId: "C1234"
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the
fluentdForward
type. - 5
- Specify the URL and port of the external Fluentd instance as a valid absolute URL. You can use the
tcp
(insecure) ortls
(secure TCP) protocol. If the cluster-wide proxy using the CIDR annotation is enabled, the output must be a server name or FQDN, not an IP address. - 6
- If using a
tls
prefix, you must specify the name of the secret required by the endpoint for TLS communication. The secret must exist in theopenshift-logging
project, and must have keys of: tls.crt, tls.key, and ca-bundle.crt that point to the respective certificates that they represent. Otherwise, for http and https prefixes, you can specify a secret that contains a username and password. For more information, see the following "Example: Setting secret that contains a username and password." - 7
- Optional: Specify a name for the pipeline.
- 8
- Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - 9
- Specify the name of the output to use when forwarding logs with this pipeline.
- 10
- Optional: Specify the
default
output to forward logs to the internal Elasticsearch instance. - 11
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 12
- Optional: String. One or more labels to add to the logs.
- 13
- Optional: Configure multiple outputs to forward logs to other external log aggregators of any supported type:
- A name to describe the pipeline.
-
The
inputRefs
is the log type to forward by using the pipeline:application,
infrastructure
, oraudit
. -
The
outputRefs
is the name of the output to use. - Optional: String. One or more labels to add to the logs.
Create the CR object:
$ oc create -f <file-name>.yaml
7.9.1. Enabling nanosecond precision for Logstash to ingest data from fluentd
For Logstash to ingest log data from fluentd, you must enable nanosecond precision in the Logstash configuration file.
Procedure
-
In the Logstash configuration file, set
nanosecond_precision
totrue
.
Example Logstash configuration file
input { tcp { codec => fluent { nanosecond_precision => true } port => 24114 } } filter { } output { stdout { codec => rubydebug } }
7.10. Forwarding logs using the syslog protocol
You can use the syslog RFC3164 or RFC5424 protocol to send a copy of your logs to an external log aggregator that is configured to accept the protocol instead of, or in addition to, the default Elasticsearch log store. You are responsible for configuring the external log aggregator, such as a syslog server, to receive the logs from OpenShift Container Platform.
To configure log forwarding using the syslog protocol, you must create a ClusterLogForwarder
custom resource (CR) with one or more outputs to the syslog servers, and pipelines that use those outputs. The syslog output can use a UDP, TCP, or TLS connection.
Alternately, you can use a config map to forward logs using the syslog RFC3164 protocols. However, this method is deprecated in OpenShift Container Platform and will be removed in a future release.
Prerequisites
- You must have a logging server that is configured to receive the logging data using the specified protocol or format.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object:apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: rsyslog-east 3 type: syslog 4 syslog: 5 facility: local0 rfc: RFC3164 payloadKey: message severity: informational url: 'tls://rsyslogserver.east.example.com:514' 6 secret: 7 name: syslog-secret - name: rsyslog-west type: syslog syslog: appName: myapp facility: user msgID: mymsg procID: myproc rfc: RFC5424 severity: debug url: 'udp://rsyslogserver.west.example.com:514' pipelines: - name: syslog-east 8 inputRefs: 9 - audit - application outputRefs: 10 - rsyslog-east - default 11 parse: json 12 labels: secure: "true" 13 syslog: "east" - name: syslog-west 14 inputRefs: - infrastructure outputRefs: - rsyslog-west - default labels: syslog: "west"
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the
syslog
type. - 5
- Optional: Specify the syslog parameters, listed below.
- 6
- Specify the URL and port of the external syslog instance. You can use the
udp
(insecure),tcp
(insecure) ortls
(secure TCP) protocol. If the cluster-wide proxy using the CIDR annotation is enabled, the output must be a server name or FQDN, not an IP address. - 7
- If using a
tls
prefix, you must specify the name of the secret required by the endpoint for TLS communication. The secret must exist in theopenshift-logging
project, and must have keys of: tls.crt, tls.key, and ca-bundle.crt that point to the respective certificates that they represent. - 8
- Optional: Specify a name for the pipeline.
- 9
- Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - 10
- Specify the name of the output to use when forwarding logs with this pipeline.
- 11
- Optional: Specify the
default
output to forward logs to the internal Elasticsearch instance. - 12
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 13
- Optional: String. One or more labels to add to the logs. Quote values like "true" so they are recognized as string values, not as a boolean.
- 14
- Optional: Configure multiple outputs to forward logs to other external log aggregators of any supported type:
- A name to describe the pipeline.
-
The
inputRefs
is the log type to forward by using the pipeline:application,
infrastructure
, oraudit
. -
The
outputRefs
is the name of the output to use. - Optional: String. One or more labels to add to the logs.
Create the CR object:
$ oc create -f <file-name>.yaml
7.10.1. Adding log source information to message output
You can add namespace_name
, pod_name
, and container_name
elements to the message
field of the record by adding the AddLogSource
field to your ClusterLogForwarder
custom resource (CR).
spec: outputs: - name: syslogout syslog: addLogSource: true facility: user payloadKey: message rfc: RFC3164 severity: debug tag: mytag type: syslog url: tls://syslog-receiver.openshift-logging.svc:24224 pipelines: - inputRefs: - application name: test-app outputRefs: - syslogout
This configuration is compatible with both RFC3164 and RFC5424.
Example syslog message output without AddLogSource
<15>1 2020-11-15T17:06:14+00:00 fluentd-9hkb4 mytag - - - {"msgcontent"=>"Message Contents", "timestamp"=>"2020-11-15 17:06:09", "tag_key"=>"rec_tag", "index"=>56}
Example syslog message output with AddLogSource
<15>1 2020-11-16T10:49:37+00:00 crc-j55b9-master-0 mytag - - - namespace_name=clo-test-6327,pod_name=log-generator-ff9746c49-qxm7l,container_name=log-generator,message={"msgcontent":"My life is my message", "timestamp":"2020-11-16 10:49:36", "tag_key":"rec_tag", "index":76}
7.10.2. Syslog parameters
You can configure the following for the syslog
outputs. For more information, see the syslog RFC3164 or RFC5424 RFC.
facility: The syslog facility. The value can be a decimal integer or a case-insensitive keyword:
-
0
orkern
for kernel messages -
1
oruser
for user-level messages, the default. -
2
ormail
for the mail system -
3
ordaemon
for system daemons -
4
orauth
for security/authentication messages -
5
orsyslog
for messages generated internally by syslogd -
6
orlpr
for the line printer subsystem -
7
ornews
for the network news subsystem -
8
oruucp
for the UUCP subsystem -
9
orcron
for the clock daemon -
10
orauthpriv
for security authentication messages -
11
orftp
for the FTP daemon -
12
orntp
for the NTP subsystem -
13
orsecurity
for the syslog audit log -
14
orconsole
for the syslog alert log -
15
orsolaris-cron
for the scheduling daemon -
16
–23
orlocal0
–local7
for locally used facilities
-
Optional:
payloadKey
: The record field to use as payload for the syslog message.NoteConfiguring the
payloadKey
parameter prevents other parameters from being forwarded to the syslog.- rfc: The RFC to be used for sending logs using syslog. The default is RFC5424.
severity: The syslog severity to set on outgoing syslog records. The value can be a decimal integer or a case-insensitive keyword:
-
0
orEmergency
for messages indicating the system is unusable -
1
orAlert
for messages indicating action must be taken immediately -
2
orCritical
for messages indicating critical conditions -
3
orError
for messages indicating error conditions -
4
orWarning
for messages indicating warning conditions -
5
orNotice
for messages indicating normal but significant conditions -
6
orInformational
for messages indicating informational messages -
7
orDebug
for messages indicating debug-level messages, the default
-
- tag: Tag specifies a record field to use as a tag on the syslog message.
- trimPrefix: Remove the specified prefix from the tag.
7.10.3. Additional RFC5424 syslog parameters
The following parameters apply to RFC5424:
-
appName: The APP-NAME is a free-text string that identifies the application that sent the log. Must be specified for
RFC5424
. -
msgID: The MSGID is a free-text string that identifies the type of message. Must be specified for
RFC5424
. -
procID: The PROCID is a free-text string. A change in the value indicates a discontinuity in syslog reporting. Must be specified for
RFC5424
.
7.11. Forwarding logs to Amazon CloudWatch
You can forward logs to Amazon CloudWatch, a monitoring and log storage service hosted by Amazon Web Services (AWS). You can forward logs to CloudWatch in addition to, or instead of, the default OpenShift Logging-managed Elasticsearch log store.
To configure log forwarding to CloudWatch, you must create a ClusterLogForwarder
custom resource (CR) with an output for CloudWatch, and a pipeline that uses the output.
Procedure
Create a
Secret
YAML file that uses theaws_access_key_id
andaws_secret_access_key
fields to specify your base64-encoded AWS credentials. For example:apiVersion: v1 kind: Secret metadata: name: cw-secret namespace: openshift-logging data: aws_access_key_id: QUtJQUlPU0ZPRE5ON0VYQU1QTEUK aws_secret_access_key: d0phbHJYVXRuRkVNSS9LN01ERU5HL2JQeFJmaUNZRVhBTVBMRUtFWQo=
Create the secret. For example:
$ oc apply -f cw-secret.yaml
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object. In the file, specify the name of the secret. For example:apiVersion: "logging.openshift.io/v1" kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: cw 3 type: cloudwatch 4 cloudwatch: groupBy: logType 5 groupPrefix: <group prefix> 6 region: us-east-2 7 secret: name: cw-secret 8 pipelines: - name: infra-logs 9 inputRefs: 10 - infrastructure - audit - application outputRefs: - cw 11
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the
cloudwatch
type. - 5
- Optional: Specify how to group the logs:
-
logType
creates log groups for each log type -
namespaceName
creates a log group for each application name space. It also creates separate log groups for infrastructure and audit logs. -
namespaceUUID
creates a new log groups for each application namespace UUID. It also creates separate log groups for infrastructure and audit logs.
-
- 6
- Optional: Specify a string to replace the default
infrastructureName
prefix in the names of the log groups. - 7
- Specify the AWS region.
- 8
- Specify the name of the secret that contains your AWS credentials.
- 9
- Optional: Specify a name for the pipeline.
- 10
- Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - 11
- Specify the name of the output to use when forwarding logs with this pipeline.
Create the CR object:
$ oc create -f <file-name>.yaml
Example: Using ClusterLogForwarder with Amazon CloudWatch
Here, you see an example ClusterLogForwarder
custom resource (CR) and the log data that it outputs to Amazon CloudWatch.
Suppose that you are running an OpenShift Container Platform cluster named mycluster
. The following command returns the cluster’s infrastructureName
, which you will use to compose aws
commands later on:
$ oc get Infrastructure/cluster -ojson | jq .status.infrastructureName "mycluster-7977k"
To generate log data for this example, you run a busybox
pod in a namespace called app
. The busybox
pod writes a message to stdout every three seconds:
$ oc run busybox --image=busybox -- sh -c 'while true; do echo "My life is my message"; sleep 3; done' $ oc logs -f busybox My life is my message My life is my message My life is my message ...
You can look up the UUID of the app
namespace where the busybox
pod runs:
$ oc get ns/app -ojson | jq .metadata.uid "794e1e1a-b9f5-4958-a190-e76a9b53d7bf"
In your ClusterLogForwarder
custom resource (CR), you configure the infrastructure
, audit
, and application
log types as inputs to the all-logs
pipeline. You also connect this pipeline to cw
output, which forwards the logs to a CloudWatch instance in the us-east-2
region:
apiVersion: "logging.openshift.io/v1" kind: ClusterLogForwarder metadata: name: instance namespace: openshift-logging spec: outputs: - name: cw type: cloudwatch cloudwatch: groupBy: logType region: us-east-2 secret: name: cw-secret pipelines: - name: all-logs inputRefs: - infrastructure - audit - application outputRefs: - cw
Each region in CloudWatch contains three levels of objects:
log group
log stream
- log event
With groupBy: logType
in the ClusterLogForwarding
CR, the three log types in the inputRefs
produce three log groups in Amazon Cloudwatch:
$ aws --output json logs describe-log-groups | jq .logGroups[].logGroupName "mycluster-7977k.application" "mycluster-7977k.audit" "mycluster-7977k.infrastructure"
Each of the log groups contains log streams:
$ aws --output json logs describe-log-streams --log-group-name mycluster-7977k.application | jq .logStreams[].logStreamName "kubernetes.var.log.containers.busybox_app_busybox-da085893053e20beddd6747acdbaf98e77c37718f85a7f6a4facf09ca195ad76.log"
$ aws --output json logs describe-log-streams --log-group-name mycluster-7977k.audit | jq .logStreams[].logStreamName "ip-10-0-131-228.us-east-2.compute.internal.k8s-audit.log" "ip-10-0-131-228.us-east-2.compute.internal.linux-audit.log" "ip-10-0-131-228.us-east-2.compute.internal.openshift-audit.log" ...
$ aws --output json logs describe-log-streams --log-group-name mycluster-7977k.infrastructure | jq .logStreams[].logStreamName "ip-10-0-131-228.us-east-2.compute.internal.kubernetes.var.log.containers.apiserver-69f9fd9b58-zqzw5_openshift-oauth-apiserver_oauth-apiserver-453c5c4ee026fe20a6139ba6b1cdd1bed25989c905bf5ac5ca211b7cbb5c3d7b.log" "ip-10-0-131-228.us-east-2.compute.internal.kubernetes.var.log.containers.apiserver-797774f7c5-lftrx_openshift-apiserver_openshift-apiserver-ce51532df7d4e4d5f21c4f4be05f6575b93196336be0027067fd7d93d70f66a4.log" "ip-10-0-131-228.us-east-2.compute.internal.kubernetes.var.log.containers.apiserver-797774f7c5-lftrx_openshift-apiserver_openshift-apiserver-check-endpoints-82a9096b5931b5c3b1d6dc4b66113252da4a6472c9fff48623baee761911a9ef.log" ...
Each log stream contains log events. To see a log event from the busybox
Pod, you specify its log stream from the application
log group:
$ aws logs get-log-events --log-group-name mycluster-7977k.application --log-stream-name kubernetes.var.log.containers.busybox_app_busybox-da085893053e20beddd6747acdbaf98e77c37718f85a7f6a4facf09ca195ad76.log { "events": [ { "timestamp": 1629422704178, "message": "{\"docker\":{\"container_id\":\"da085893053e20beddd6747acdbaf98e77c37718f85a7f6a4facf09ca195ad76\"},\"kubernetes\":{\"container_name\":\"busybox\",\"namespace_name\":\"app\",\"pod_name\":\"busybox\",\"container_image\":\"docker.io/library/busybox:latest\",\"container_image_id\":\"docker.io/library/busybox@sha256:0f354ec1728d9ff32edcd7d1b8bbdfc798277ad36120dc3dc683be44524c8b60\",\"pod_id\":\"870be234-90a3-4258-b73f-4f4d6e2777c7\",\"host\":\"ip-10-0-216-3.us-east-2.compute.internal\",\"labels\":{\"run\":\"busybox\"},\"master_url\":\"https://kubernetes.default.svc\",\"namespace_id\":\"794e1e1a-b9f5-4958-a190-e76a9b53d7bf\",\"namespace_labels\":{\"kubernetes_io/metadata_name\":\"app\"}},\"message\":\"My life is my message\",\"level\":\"unknown\",\"hostname\":\"ip-10-0-216-3.us-east-2.compute.internal\",\"pipeline_metadata\":{\"collector\":{\"ipaddr4\":\"10.0.216.3\",\"inputname\":\"fluent-plugin-systemd\",\"name\":\"fluentd\",\"received_at\":\"2021-08-20T01:25:08.085760+00:00\",\"version\":\"1.7.4 1.6.0\"}},\"@timestamp\":\"2021-08-20T01:25:04.178986+00:00\",\"viaq_index_name\":\"app-write\",\"viaq_msg_id\":\"NWRjZmUyMWQtZjgzNC00MjI4LTk3MjMtNTk3NmY3ZjU4NDk1\",\"log_type\":\"application\",\"time\":\"2021-08-20T01:25:04+00:00\"}", "ingestionTime": 1629422744016 }, ...
Example: Customizing the prefix in log group names
In the log group names, you can replace the default infrastructureName
prefix, mycluster-7977k
, with an arbitrary string like demo-group-prefix
. To make this change, you update the groupPrefix
field in the ClusterLogForwarding
CR:
cloudwatch: groupBy: logType groupPrefix: demo-group-prefix region: us-east-2
The value of groupPrefix
replaces the default infrastructureName
prefix:
$ aws --output json logs describe-log-groups | jq .logGroups[].logGroupName "demo-group-prefix.application" "demo-group-prefix.audit" "demo-group-prefix.infrastructure"
Example: Naming log groups after application namespace names
For each application namespace in your cluster, you can create a log group in CloudWatch whose name is based on the name of the application namespace.
If you delete an application namespace object and create a new one that has the same name, CloudWatch continues using the same log group as before.
If you consider successive application namespace objects that have the same name as equivalent to each other, use the approach described in this example. Otherwise, if you need to distinguish the resulting log groups from each other, see the following "Naming log groups for application namespace UUIDs" section instead.
To create application log groups whose names are based on the names of the application namespaces, you set the value of the groupBy
field to namespaceName
in the ClusterLogForwarder
CR:
cloudwatch: groupBy: namespaceName region: us-east-2
Setting groupBy
to namespaceName
affects the application log group only. It does not affect the audit
and infrastructure
log groups.
In Amazon Cloudwatch, the namespace name appears at the end of each log group name. Because there is a single application namespace, "app", the following output shows a new mycluster-7977k.app
log group instead of mycluster-7977k.application
:
$ aws --output json logs describe-log-groups | jq .logGroups[].logGroupName "mycluster-7977k.app" "mycluster-7977k.audit" "mycluster-7977k.infrastructure"
If the cluster in this example had contained multiple application namespaces, the output would show multiple log groups, one for each namespace.
The groupBy
field affects the application log group only. It does not affect the audit
and infrastructure
log groups.
Example: Naming log groups after application namespace UUIDs
For each application namespace in your cluster, you can create a log group in CloudWatch whose name is based on the UUID of the application namespace.
If you delete an application namespace object and create a new one, CloudWatch creates a new log group.
If you consider successive application namespace objects with the same name as different from each other, use the approach described in this example. Otherwise, see the preceding "Example: Naming log groups for application namespace names" section instead.
To name log groups after application namespace UUIDs, you set the value of the groupBy
field to namespaceUUID
in the ClusterLogForwarder
CR:
cloudwatch: groupBy: namespaceUUID region: us-east-2
In Amazon Cloudwatch, the namespace UUID appears at the end of each log group name. Because there is a single application namespace, "app", the following output shows a new mycluster-7977k.794e1e1a-b9f5-4958-a190-e76a9b53d7bf
log group instead of mycluster-7977k.application
:
$ aws --output json logs describe-log-groups | jq .logGroups[].logGroupName "mycluster-7977k.794e1e1a-b9f5-4958-a190-e76a9b53d7bf" // uid of the "app" namespace "mycluster-7977k.audit" "mycluster-7977k.infrastructure"
The groupBy
field affects the application log group only. It does not affect the audit
and infrastructure
log groups.
7.12. Forwarding logs to Loki
You can forward logs to an external Loki logging system in addition to, or instead of, the internal default OpenShift Container Platform Elasticsearch instance.
To configure log forwarding to Loki, you must create a ClusterLogForwarder
custom resource (CR) with an output to Loki, and a pipeline that uses the output. The output to Loki can use the HTTP (insecure) or HTTPS (secure HTTP) connection.
Prerequisites
-
You must have a Loki logging system running at the URL you specify with the
url
field in the CR.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object:apiVersion: "logging.openshift.io/v1" kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: loki-insecure 3 type: "loki" 4 url: http://loki.insecure.com:3100 5 - name: loki-secure type: "loki" url: https://loki.secure.com:3100 6 secret: name: loki-secret 7 pipelines: - name: application-logs 8 inputRefs: 9 - application - audit outputRefs: - loki-secure 10 loki: tenantKey: kubernetes.namespace_name 11 labelKeys: kubernetes.labels.foo 12
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the type as
"loki"
. - 5
- Specify the URL and port of the Loki system as a valid absolute URL. You can use the
http
(insecure) orhttps
(secure HTTP) protocol. If the cluster-wide proxy using the CIDR annotation is enabled, the output must be a server name or FQDN, not an IP Address. - 6
- For a secure connection, you can specify an
https
orhttp
URL that you authenticate by specifying asecret
. - 7
- For an
https
prefix, specify the name of the secret required by the endpoint for TLS communication. The secret must exist in theopenshift-logging
project, and must have keys of: tls.crt, tls.key, and ca-bundle.crt that point to the respective certificates that they represent. Otherwise, forhttp
andhttps
prefixes, you can specify a secret that contains a username and password. For more information, see the following "Example: Setting secret that contains a username and password." - 8
- Optional: Specify a name for the pipeline.
- 9
- Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - 10
- Specify the name of the output to use when forwarding logs with this pipeline.
- 11
- Optional: Specify a meta-data key field to generate values for the
TenantID
field in Loki. For example, settingtenantKey: kubernetes.namespace_name
uses the names of the Kubernetes namespaces as values for tenant IDs in Loki. To see which other log record fields you can specify, see the "Log Record Fields" link in the following "Additional resources" section. - 12
- Optional: Specify a list of meta-data field keys to replace the default Loki labels. Loki label names must match the regular expression
[a-zA-Z_:][a-zA-Z0-9_:]*
. Illegal characters in meta-data keys are replaced with_
to form the label name. For example, thekubernetes.labels.foo
meta-data key becomes Loki labelkubernetes_labels_foo
. If you do not setlabelKeys
, the default value is:[log_type, kubernetes.namespace_name, kubernetes.pod_name, kubernetes_host]
. Keep the set of labels small because Loki limits the size and number of labels allowed. See Configuring Loki, limits_config. You can still query based on any log record field using query filters.
NoteBecause Loki requires log streams to be correctly ordered by timestamp,
labelKeys
always includes thekubernetes_host
label set, even if you do not specify it. This inclusion ensures that each stream originates from a single host, which prevents timestamps from becoming disordered due to clock differences on different hosts.Create the CR object:
$ oc create -f <file-name>.yaml
7.12.1. Troubleshooting Loki "entry out of order" errors
If your Fluentd forwards a large block of messages to a Loki logging system that exceeds the rate limit, Loki to generates "entry out of order" errors. To fix this issue, you update some values in the Loki server configuration file, loki.yaml
.
loki.yaml
is not available on Grafana-hosted Loki. This topic does not apply to Grafana-hosted Loki servers.
Conditions
-
The
ClusterLogForwarder
custom resource is configured to forward logs to Loki. Your system sends a block of messages that is larger than 2 MB to Loki, such as:
"values":[["1630410392689800468","{\"kind\":\"Event\",\"apiVersion\":\ ....... ...... ...... ...... \"received_at\":\"2021-08-31T11:46:32.800278+00:00\",\"version\":\"1.7.4 1.6.0\"}},\"@timestamp\":\"2021-08-31T11:46:32.799692+00:00\",\"viaq_index_name\":\"audit-write\",\"viaq_msg_id\":\"MzFjYjJkZjItNjY0MC00YWU4LWIwMTEtNGNmM2E5ZmViMGU4\",\"log_type\":\"audit\"}"]]}]}
When you enter
oc logs -c fluentd
, the Fluentd logs in your OpenShift Logging cluster show the following messages:429 Too Many Requests Ingestion rate limit exceeded (limit: 8388608 bytes/sec) while attempting to ingest '2140' lines totaling '3285284' bytes 429 Too Many Requests Ingestion rate limit exceeded' or '500 Internal Server Error rpc error: code = ResourceExhausted desc = grpc: received message larger than max (5277702 vs. 4194304)'
When you open the logs on the Loki server, they display
entry out of order
messages like these:,\nentry with timestamp 2021-08-18 05:58:55.061936 +0000 UTC ignored, reason: 'entry out of order' for stream: {fluentd_thread=\"flush_thread_0\", log_type=\"audit\"},\nentry with timestamp 2021-08-18 06:01:18.290229 +0000 UTC ignored, reason: 'entry out of order' for stream: {fluentd_thread="flush_thread_0", log_type="audit"}
Procedure
Update the following fields in the
loki.yaml
configuration file on the Loki server with the values shown here:-
grpc_server_max_recv_msg_size: 8388608
-
chunk_target_size: 8388608
-
ingestion_rate_mb: 8
-
ingestion_burst_size_mb: 16
-
-
Apply the changes in
loki.yaml
to the Loki server.
Example loki.yaml
file
auth_enabled: false server: http_listen_port: 3100 grpc_listen_port: 9096 grpc_server_max_recv_msg_size: 8388608 ingester: wal: enabled: true dir: /tmp/wal lifecycler: address: 127.0.0.1 ring: kvstore: store: inmemory replication_factor: 1 final_sleep: 0s chunk_idle_period: 1h # Any chunk not receiving new logs in this time will be flushed chunk_target_size: 8388608 max_chunk_age: 1h # All chunks will be flushed when they hit this age, default is 1h chunk_retain_period: 30s # Must be greater than index read cache TTL if using an index cache (Default index read cache TTL is 5m) max_transfer_retries: 0 # Chunk transfers disabled schema_config: configs: - from: 2020-10-24 store: boltdb-shipper object_store: filesystem schema: v11 index: prefix: index_ period: 24h storage_config: boltdb_shipper: active_index_directory: /tmp/loki/boltdb-shipper-active cache_location: /tmp/loki/boltdb-shipper-cache cache_ttl: 24h # Can be increased for faster performance over longer query periods, uses more disk space shared_store: filesystem filesystem: directory: /tmp/loki/chunks compactor: working_directory: /tmp/loki/boltdb-shipper-compactor shared_store: filesystem limits_config: reject_old_samples: true reject_old_samples_max_age: 12h ingestion_rate_mb: 8 ingestion_burst_size_mb: 16 chunk_store_config: max_look_back_period: 0s table_manager: retention_deletes_enabled: false retention_period: 0s ruler: storage: type: local local: directory: /tmp/loki/rules rule_path: /tmp/loki/rules-temp alertmanager_url: http://localhost:9093 ring: kvstore: store: inmemory enable_api: true
Additional resources
Additional resources
7.13. Forwarding application logs from specific projects
You can use the Cluster Log Forwarder to send a copy of the application logs from specific projects to an external log aggregator. You can do this in addition to, or instead of, using the default Elasticsearch log store. You must also configure the external log aggregator to receive log data from OpenShift Container Platform.
To configure forwarding application logs from a project, you must create a ClusterLogForwarder
custom resource (CR) with at least one input from a project, optional outputs for other log aggregators, and pipelines that use those inputs and outputs.
Prerequisites
- You must have a logging server that is configured to receive the logging data using the specified protocol or format.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object:apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: outputs: - name: fluentd-server-secure 3 type: fluentdForward 4 url: 'tls://fluentdserver.security.example.com:24224' 5 secret: 6 name: fluentd-secret - name: fluentd-server-insecure type: fluentdForward url: 'tcp://fluentdserver.home.example.com:24224' inputs: 7 - name: my-app-logs application: namespaces: - my-project pipelines: - name: forward-to-fluentd-insecure 8 inputRefs: 9 - my-app-logs outputRefs: 10 - fluentd-server-insecure parse: json 11 labels: project: "my-project" 12 - name: forward-to-fluentd-secure 13 inputRefs: - application - audit - infrastructure outputRefs: - fluentd-server-secure - default labels: clusterId: "C1234"
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify a name for the output.
- 4
- Specify the output type:
elasticsearch
,fluentdForward
,syslog
, orkafka
. - 5
- Specify the URL and port of the external log aggregator as a valid absolute URL. If the cluster-wide proxy using the CIDR annotation is enabled, the output must be a server name or FQDN, not an IP address.
- 6
- If using a
tls
prefix, you must specify the name of the secret required by the endpoint for TLS communication. The secret must exist in theopenshift-logging
project and have tls.crt, tls.key, and ca-bundle.crt keys that each point to the certificates they represent. - 7
- Configuration for an input to filter application logs from the specified projects.
- 8
- Configuration for a pipeline to use the input to send project application logs to an external Fluentd instance.
- 9
- The
my-app-logs
input. - 10
- The name of the output to use.
- 11
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 12
- Optional: String. One or more labels to add to the logs.
- 13
- Configuration for a pipeline to send logs to other log aggregators.
- Optional: Specify a name for the pipeline.
-
Specify which log types to forward by using the pipeline:
application,
infrastructure
, oraudit
. - Specify the name of the output to use when forwarding logs with this pipeline.
-
Optional: Specify the
default
output to forward logs to the internal Elasticsearch instance. - Optional: String. One or more labels to add to the logs.
Create the CR object:
$ oc create -f <file-name>.yaml
7.14. Forwarding application logs from specific pods
As a cluster administrator, you can use Kubernetes pod labels to gather log data from specific pods and forward it to a log collector.
Suppose that you have an application composed of pods running alongside other pods in various namespaces. If those pods have labels that identify the application, you can gather and output their log data to a specific log collector.
To specify the pod labels, you use one or more matchLabels
key-value pairs. If you specify multiple key-value pairs, the pods must match all of them to be selected.
Procedure
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object. In the file, specify the pod labels using simple equality-based selectors underinputs[].name.application.selector.matchLabels
, as shown in the following example.Example
ClusterLogForwarder
CR YAML fileapiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: name: instance 1 namespace: openshift-logging 2 spec: pipelines: - inputRefs: [ myAppLogData ] 3 outputRefs: [ default ] 4 parse: json 5 inputs: 6 - name: myAppLogData application: selector: matchLabels: 7 environment: production app: nginx namespaces: 8 - app1 - app2 outputs: 9 - default ...
- 1
- The name of the
ClusterLogForwarder
CR must beinstance
. - 2
- The namespace for the
ClusterLogForwarder
CR must beopenshift-logging
. - 3
- Specify one or more comma-separated values from
inputs[].name
. - 4
- Specify one or more comma-separated values from
outputs[]
. - 5
- Optional: Specify whether to forward structured JSON log entries as JSON objects in the
structured
field. The log entry must contain valid structured JSON; otherwise, OpenShift Logging removes thestructured
field and instead sends the log entry to the default index,app-00000x
. - 6
- Define a unique
inputs[].name
for each application that has a unique set of pod labels. - 7
- Specify the key-value pairs of pod labels whose log data you want to gather. You must specify both a key and value, not just a key. To be selected, the pods must match all the key-value pairs.
- 8
- Optional: Specify one or more namespaces.
- 9
- Specify one or more outputs to forward your log data to. The optional
default
output shown here sends log data to the internal Elasticsearch instance.
-
Optional: To restrict the gathering of log data to specific namespaces, use
inputs[].name.application.namespaces
, as shown in the preceding example. Optional: You can send log data from additional applications that have different pod labels to the same pipeline.
-
For each unique combination of pod labels, create an additional
inputs[].name
section similar to the one shown. -
Update the
selectors
to match the pod labels of this application. Add the new
inputs[].name
value toinputRefs
. For example:- inputRefs: [ myAppLogData, myOtherAppLogData ]
-
For each unique combination of pod labels, create an additional
Create the CR object:
$ oc create -f <file-name>.yaml
Additional resources
-
For more information on
matchLabels
in Kubernetes, see Resources that support set-based requirements.
7.15. Collecting OVN network policy audit logs
You can collect the OVN network policy audit logs from the /var/log/ovn/acl-audit-log.log
file on OVN-Kubernetes pods and forward them to logging servers.
Prerequisites
- You are using OpenShift Container Platform version 4.8 or later.
- You are using Cluster Logging 5.2 or later.
-
You have already set up a
ClusterLogForwarder
custom resource (CR) object. - The OpenShift Container Platform cluster is configured for OVN-Kubernetes network policy audit logging. See the following "Additional resources" section.
Often, logging servers that store audit data must meet organizational and governmental requirements for compliance and security.
Procedure
-
Create or edit a YAML file that defines the
ClusterLogForwarder
CR object as described in other topics on forwarding logs to third-party systems. In the YAML file, add the
audit
log type to theinputRefs
element in a pipeline. For example:pipelines: - name: audit-logs inputRefs: - audit 1 outputRefs: - secure-logging-server 2
Recreate the updated CR object:
$ oc create -f <file-name>.yaml
Verification
Verify that audit log entries from the nodes that you are monitoring are present among the log data gathered by the logging server.
Find an original audit log entry in /var/log/ovn/acl-audit-log.log
and compare it with the corresponding log entry on the logging server.
For example, an original log entry in /var/log/ovn/acl-audit-log.log
might look like this:
2021-07-06T08:26:58.687Z|00004|acl_log(ovn_pinctrl0)|INFO|name="verify-audit- logging_deny-all", verdict=drop, severity=alert: icmp,vlan_tci=0x0000,dl_src=0a:58:0a:81:02:12,dl_dst=0a:58:0a:81:02:14,nw_src=10 .129.2.18,nw_dst=10.129.2.20,nw_tos=0,nw_ecn=0,nw_ttl=64,icmp_type=8,icmp_code=0
And the corresponding OVN audit log entry you find on the logging server might look like this:
{ "@timestamp" : "2021-07-06T08:26:58..687000+00:00", "hostname":"ip.abc.iternal", "level":"info", "message" : "2021-07-06T08:26:58.687Z|00004|acl_log(ovn_pinctrl0)|INFO|name=\"verify-audit-logging_deny-all\", verdict=drop, severity=alert: icmp,vlan_tci=0x0000,dl_src=0a:58:0a:81:02:12,dl_dst=0a:58:0a:81:02:14,nw_src=10.129.2.18,nw_dst=10.129.2.20,nw_tos=0,nw_ecn=0,nw_ttl=64,icmp_type=8,icmp_code=0" }
Where:
-
@timestamp
is the timestamp of the log entry. -
hostname
is the node from which the log originated. -
level
is the log entry. -
message
is the original audit log message.
On an Elasticsearch server, look for log entries whose indices begin with audit-00000
.
Troubleshooting
- Verify that your OpenShift Container Platform cluster meets all the prerequisites.
- Verify that you have completed the procedure.
-
Verify that the nodes generating OVN logs are enabled and have
/var/log/ovn/acl-audit-log.log
files. - Check the Fluentd pod logs for issues.
Additional resources
7.16. Troubleshooting log forwarding
When you create a ClusterLogForwarder
custom resource (CR), if the Red Hat OpenShift Logging Operator does not redeploy the Fluentd pods automatically, you can delete the Fluentd pods to force them to redeploy.
Prerequisites
-
You have created a
ClusterLogForwarder
custom resource (CR) object.
Procedure
Delete the Fluentd pods to force them to redeploy.
$ oc delete pod --selector logging-infra=collector