The Installed Collector can gather data from several different types of Sources. You should manually migrate your Sources to an OpenTelemetry Configuration.
- General Configuration Concepts
- Collector
- Cloud Based Management
- Local Configuration File
- Collector
- Common Parameters
- Local File Source (LocalFile)
- Remote File Source (RemoteFileV2)
- Syslog Source (Syslog)
- Docker Logs Source (DockerLog)
- Docker Stats Source (DockerStats)
- Script Source (Script)
- Streaming Metrics Source (StreamingMetrics)
- Host Metrics Source (SystemStats)
- Local Windows Event Log Source (LocalWindowsEventLog)
- Remote Windows Event Log Source (RemoteWindowsEventLog)
- Local Windows Performance Source (LocalWindowsPerfMon)
- Remote Windows Performance Source (RemoteWindowsPerfMon)
- Windows Active Directory Source (ActiveDirectory)
Let's consider the following example:
extensions:
sumologic:
installation_token: <installation_token>
receivers:
filelog:
include:
- /var/log/syslog
tcplog:
listen_address: 0.0.0.0:514
processors:
memory_limiter:
check_interval: 1s
limit_mib: 4000
spike_limit_mib: 800
resource:
attributes:
- key: author
value: me
action: insert
exporters:
sumologic:
service:
extensions:
- sumologic
pipelines:
logs/example pipeline:
receivers:
- filelog
- tcplog
processors:
- memory_limiter
- resource
exporters:
- sumologic
We can differentiate four types of modules:
- extensions - unrelated to data processing, but responsible for additional actions, like collector registration (eg. sumologic extension)
- receivers - responsible for receiving data and pushing it to processors
- processors - responsible for data modification, like adding fields, limiting memory and so on
- exporters - responsible for sending data, received by receivers and processed by processors
To use those configured modules, they need to be mentioned in the service
section.
service
consists of extensions
(they are global across collector) and pipelines
.
Pipelines
can be logs
, metrics
, and traces
and each of them can have
receivers
, processors
and exporters
. Multiple pipelines of one type can be configured using aliases,
such as example pipeline
for logs
in the example above.
Collector registration and configuration is handled by the sumologicextension.
Collector name can be specified by setting the collector_name
option:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
To set a description, use the collector_description
option:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
collector_description: This is my and only my collector
Host name can be set in the Source Processor configuration. The processor will set the host name for every record sent to Sumo Logic:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
collector_description: This is my and only my collector
processors:
source:
source_host: My hostname
To set a Collector category, use the collector_category
option:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
collector_description: This is my and only my collector
collector_category: example
processors:
source:
source_host: My hostname
Fields in the Opentelemetry Collector can be added with the collector_fields
property of Sumo Logic Extension.
For example, to add a field with the key author
with the value me
to every record,
you could use the following configuration:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
collector_description: This is my and only my collector
collector_category: example
collector_fields:
author: me
processors:
source:
source_host: My hostname
Assignment to an Ingest Budget is not supported by Opentelemetry Collector.
To set the Collector time zone, use the time_zone
option.
For example, the following examples sets the time zone to America/Tijuana
:
extensions:
sumologic:
installation_token: <installation_token>
collector_name: my_collector
collector_description: This is my and only my collector
collector_category: example
time_zone: America/Tijuana
collector_fields:
author: me
processors:
source:
source_host: My hostname
CPU Target is not supported by the Opentelemetry Collector.
Currently, the Opentelemetry Collector can only be managed with Local Configuration File Management. Depending on your setup, follow the steps in Cloud Based Management or Local Configuration File for migration details.
This section describes migration steps for Sources managed from the Cloud.
There is set of configuration common for all of the sources and this section is going to cover details of the migration for them.
Define the name after the slash /
in the component name.
To set _sourceName
, use resourceprocessor
or set it in sumologicexporter.
For example, the following snippet configures the name for Filelog Receiver instance as my example name
:
receivers:
filelog/my example name:
# ...
A description can be added as a comment just above the receiver name.
For example, the following snippet configures the description for Filelog Receiver instance as All my example logs
:
receivers:
## All my example logs
filelog/my example name:
# ...
The Source Category is set in the Source Processor configuration with the source_category
option.
For example, the following snippet configures the Source Category as My Category
:
processors:
source/some name:
source_category: My Category
There are multiple ways to set fields/metadata in OpenTelemetry Collector
-
For fields/metadata which are going to be the same for all sources, please refer to Collector Fields
-
For fields/metadata, which should be set for specific source, you should use Transform Processor.
For example, the following snippet configures two fields for logs,
cloud.availability_zone
andk8s.cluster.name
:transform/custom fields: log_statements: - context: resource statements: - set(attributes["cloud.availability_zone"], "zone-1") - set(attributes["k8s.cluster.name"], "my-cluster")
The following example adds two metadata for metrics,
cloud.availability_zone
andk8s.cluster.name
:transform/custom fields: metric_statements: - context: resource statements: - set(attributes["cloud.availability_zone"], "zone-1") - set(attributes["k8s.cluster.name"], "my-cluster")
-
As an alternative, you can use resourceprocessor to set custom fields/metadata for source:
For example, the following snippet configures two fields,
cloud.availability_zone
andk8s.cluster.name
:processors: resource/my example name fields: attributes: - key: cloud.availability_zone value: zone-1 ## upsert will override existing cloud.availability_zone field action: upsert - key: k8s.cluster.name value: my-cluster ## insert will add cloud.availability_zone field if it doesn't exist action: insert
A Source Host can be set in the Source Processor configuration with the source_host
option.
For example, the following snippet configures the Source Host as my_host
:
processors:
source/some name:
source_host: my_host
Local File Source functionality is covered by OpenTelemetry Filelog Receiver.
Below is an example of an OpenTelemetry configuration for a Local File Source.
extensions:
sumologic:
installation_token: <installation_token>
## Time Zone is a substitute of Installed Collector `Time Zone`
## with `Use time zone from log file. If none is detected use:` option.
## This is used only if log timestamp is set to 0 by transform processor.
## Full list of time zones is available on wikipedia:
## https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
time_zone: America/Tijuana
## The following configuration will add two fields to every record
collector_fields:
cloud.availability_zone: zone-1
k8s.cluster.name: my-cluster
receivers:
## There is no substitute for `Description` in current project phase.
## It is recommended to use comments for that purpose, like this one.
## filelog/<source group name>:
## <source group name> can be substitute of Installed Collector `Name`.
filelog/log source:
## List of local files which should be read.
## Installed Collector `File path` substitute.
include:
- /var/log/*.log
- /opt/app/logs/*.log
- tmp/logs.log"
## List of local files which shouldn't be read.
## Installed Collector `Denylist` substitute.
exclude:
- /var/log/auth.log
- /opt/app/logs/security_*.log
## This config can take one of two values: `beginning` or `end`.
## If you are looking for `Collection should begin`, please look at `Collection should begin` section in this document
start_at: beginning
## encoding is substitute for Installed Collector `Encoding`.
## List of supported encodings:
## https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/v0.108.0/receiver/filelogreceiver
encoding: utf-8
## multiline is Opentelemetry Collector substitute for `Enable Multiline Processing`.
## As multiline detection behaves slightly different than in Installed Collector
## the following section in filelog documentation is recommended to read:
## https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/v0.108.0/receiver/filelogreceiver#multiline-configuration
multiline:
## line_start_pattern is substitute of `Boundary Regex`.
line_start_pattern: ^\d{4}
## Adds file path log.file.path attribute, which can be used for timestamp parsing
## See operators configuration
include_file_path: true
## `Operators allows to perform more advanced operations like per file timestamp parsing
operators:
- type: regex_parser
## Applies only to tmp/logs.log file
if: 'attributes["log.file.path"] == "tmp/logs.log"'
## Extracts timestamp to timestamp_field using regex parser
regex: '^(?P<timestamp_field>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).*'
timestamp:
parse_from: attributes.timestamp_field
layout: '%Y-%m-%d %H:%M:%S'
## Cleanup timestamp_field
- type: remove
field: attributes.timestamp_field
processors:
source:
## Set _sourceName
source_name: my example name
## Installed Collector substitute for `Source Category`.
source_category: example category
## Installed Collector substitute for `Source Host`.
source_host: example host
transform/logs source:
log_statements:
## By default every data has timestamp (usually set to receipt time)
## and therefore Sumo Logic backend do not try to parse it from log body.
## Using this processor works like `Enable Timestamp Parsing`,
## where `Time Zone` is going to be taken from `extensions` section.
## There is no possibility to configure several time zones in one exporter.
## It behaves like `Timestamp Format` would be set to `Automatically detect the format`
## in terms of Installed Collector configuration.
- context: log
statements:
- set(time_unix_nano, 0)
## Adds custom fields:
## - cloud.availability_zone=zone-1
## - k8s.cluster.name=my-cluster
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
## Remove logs with timestamp before Sat Dec 31 2022 23:00:00 GMT+0000
## This configuration covers `Collection should begin` functionality.
## Please ensure that timestamps are correctly set (eg. use operators in filelog receiver)
filter/remove older:
logs:
log_record:
## - 1672527600000000000 ns is equal to Dec 31 2022 23:00:00 GMT+0000
## - do not remove logs which do not have correct timestamp
- 'time_unix_nano < 1672527600000000000 and time_unix_nano > 0'
exporters:
sumologic:
service:
extensions:
- sumologic
pipelines:
logs/log source:
receivers:
- filelog/log source
processors:
- filter/remove older
- transform/logs source
- source
exporters:
- sumologic
Please refer to the Name section of Common configuration.
Please refer to the Description section of Common configuration.
Like the Installed Collector, the OpenTelemetry Collector supports regular expression for paths.
In addition, you can specify multiple different path expressions.
Add them as elements of the include
configuration option.
For example, the following snippet configures the path to all .log
files from /var/log/
and /opt/my_app/
:
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
# ...
The OpenTelemetry Collector substitution for this Installed Collector option requires manual timestamp parsing. Then you can use Filter Processor to filter out logs before a specific date.
Let's consider the following example. We want to get logs from tmp/logs.log
which are at least from Dec 31 2022 23:00:00
-
tmp/logs.log
2020-04-01 10:12:14 Log from 2020 2021-01-02 12:13:54 Log from 2021 2022-03-07 11:15:29 Log from 2022 2023-01-02 10:37:12 Log from 2023
-
config.yaml
(only essential parts)receivers: filelog/log source: include: - tmp/logs.log # - ... ## Adds file path log.file.path attribute, which will be used further in pipeline include_file_path: true ## We would like to read from beginning, as we can choose only between end and beginning start_at: beginning operators: - type: regex_parser ## Applies only to tmp/logs.log file if: 'attributes["log.file.path"] == "tmp/logs.log"' ## Extracts timestamp to timestamp_field using regex parser regex: '^(?P<timestamp_field>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).*' timestamp: parse_from: attributes.timestamp_field layout: '%Y-%m-%d %H:%M:%S' ## cleanup timestamp_field - type: remove field: attributes.timestamp_field # ... processors: ## Remove logs with timestamp before Sat Dec 31 2022 23:00:00 GMT+0000 filter/remove older: logs: log_record: ## 1672527600000000000 ns is equal to Dec 31 2022 23:00:00 GMT+0000, ## but do not remove logs which do not have correct timestamp - 'time_unix_nano < 1672527600000000000 and time_unix_nano > 0' service: pipelines: logs/log source: receivers: - filelog/log source processors: # ... - filter/remove older # ...
If you want to get logs which are appended after OpenTelemetry Collector Installation,
you can simply use start_at: end
:
For example, the following snippet configures the Collector to only read appended logs:
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
start_at: end
# ...
exporters:
sumologic:
source_name: my example name
Please refer to the Source Host section of Common configuration.
Please refer to the Source Category section of Common configuration.
Please refer to the Fields/Metadata section of Common configuration.
Use the exclude
option in the filelog receiver to specify files you don't want collected.
For example, the following snippet excludes /var/log/sensitive.log
from collection:
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
# ...
processors:
transform/custom fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
The Installed Collector option to Extract timestamp information from log file entries
in an
OpenTelemetry configuration can be achieved with Transform Processor:
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
This works like Extract timestamp information from log file entries
combined with
Ignore time zone from log file and instead use:
set to Use Collector Default
.
For example, the following configuration sets the time_zone for a Collector with extensions.sumologic.time_zone
:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
# ...
processors:
transform/custom fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
exporters:
sumologic/some_name:
If transform/clear_logs_timestamp
is not used, timestamp parsing should be configured
manually, like in the following snippet:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
operators:
## Extract timestamp into timestamp field using regex
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/pkg/stanza/docs/operators/regex_parser.md
- type: regex_parser
regex: (?P<timestamp>^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3} (\+|\-)\d{4})
## Parse timestamp from timestamp field
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/pkg/stanza/docs/operators/time_parser.md
timestamp:
parse_from: attributes.timestamp
## Layout are substitute for Timestamp Format configuration
layout_type: gotime
layout: '2006-01-02 15:04:05,000 -0700'
# ...
processors:
transform/custom fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
exporters:
sumologic/some_name:
The following example snippet skips timestamp parsing so the Collector uses Receipt Time:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
# ...
processors:
resource/my example name fields:
attributes:
- key: cloud.availability_zone
value: zone-1
action: upsert
- key: k8s.cluster.name
value: my-cluster
action: insert
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
exporters:
sumologic/some_name:
Use encoding
to set the encoding of your data. Full list of supporter encodings can be obtained from Filelog Receiver documentation.
The following snippet sets the encoding to UTF-8:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
encoding: utf-8
# ...
processors:
transform/custom fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
exporters:
sumologic/some_name:
Multiline processing in the Opentelemetry Collector is set manually. There is no automatic boundary detection.
The following snippet sets the boundary regex as ^\d{4}-\d{2}-\d{2}
to match, for example, 2021-06-06
):
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
## All my example logs
filelog/my example name:
include:
- /var/log/*.log
- /opt/my_app/*.log
exclude:
- /var/log/sensitive.log
start_at: end
encoding: utf-8
multiline:
line_start_pattern: ^\d{4}-\d{2}-\d{2}
# ...
processors:
transform/custom fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: My Host
source_category: My Category
exporters:
sumologic/some_name:
If your multiline logs have a known end pattern use the line_end_pattern
option.
More information is available in Filelog Receiver documentation.
Remote File Source is not supported by the OpenTelemetry Collector.
The equivalent of the Syslog Source is a combination of the TCP or the UDP receivers and the Sumo logic Syslog Processor.
Note: The OpenTelemetry Collector also provides the Syslog Receiver. See this document for details.
The syslog messages could also be sent to sumologic using the syslog exporter with the syslog parser
Below is an example of an OpenTelemetry configuration for a Syslog Source.
extensions:
sumologic:
installation_token: <installation_token>
## Time Zone is a substitute of Installed Collector `Time Zone`
## with `Use time zone from log file. If none is detected use:` option.
## This is used only if `clear_logs_timestamp` is set to `true` in sumologic exporter.
## Full list of time zones is available on wikipedia:
## https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
time_zone: America/Tijuana
receivers:
## Use TCP receiver for TCP protocol
tcplog/first receiver:
## listen address in format host:port
## host 0.0.0.0 mean all network interfaces
listen_address: 0.0.0.0:514
## Add network attributes
## `net.peer.name` is going to be used as processors.source.source_host
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/v0.108.0/receiver/tcplogreceiver#configuration
add_attributes: true
## Use UDP receiver for UDP protocol
udplog/first receiver:
## listen address in format host:port
## host 0.0.0.0 mean all network interfaces
listen_address: 0.0.0.0:514
## Add network attributes
## `net.peer.name` is going to be used as processors.source.source_host
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/v0.108.0/receiver/udplogreceiver#configuration
add_attributes: true
processors:
## There is no substitute for `Description` in current project phase.
## It is recommended to use comments for that purpose, like this one.
## sumologic_syslog/<source group name>:
## <source group name> can be substitute of Installed Collector `Name`
sumologic_syslog/syslog source:
## re-associates record attributes to a resource to make them available to be used by Source Processor
groupbyattrs:
keys:
- net.peer.name
- facility
## Leave the timestamp parsing to the Sumo Logic backend
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
## The following configuration will add two fields to every resource
transform/syslog source:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/syslog source:
## Installed Collector substitute for `Source Category`.
source_category: example category
## Set Source Name to be facility name
source_name: "%{facility}"
## Set Source Host to `net.peer.name`
source_host: "%{net.peer.name}"
exporters:
sumologic/syslog:
service:
extensions:
- sumologic
pipelines:
logs/syslog source:
receivers:
- tcplog/first receiver
- udplog/first receiver
processors:
- transform/clear_logs_timestamp
- sumologic_syslog/syslog source
- groupbyattrs
- transform/syslog source
- source/syslog source
exporters:
- sumologic/syslog
Please refer to the Name section of Common configuration
Please refer to the Description section of Common configuration.
Protocol is defined by receiver type. For UDP use udplogreceiver and for TCP use tcplogreceiver. Port can be set by listen_address
, for example to listen on port 6776
on all interfaces, use listen_address: 0.0.0.0:6776
.
You can use multiple receivers with different names nad ports like in the following example:
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
tcplog/second receiver:
listen_address: 127.0.0.1:5140
udplog/first receiver:
listen_address: 0.0.0.0:514
udplog/second receiver:
listen_address: 127.0.0.1:5150
processor:
## All my example logs
sumologic_syslog/my example name:
# ...
A Source Category can be set in the Source Processor configuration with the source_category
option.
For example, the following snippet configures the Source Category as My Category
:
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
tcplog/second receiver:
listen_address: 127.0.0.1:5140
udplog/first receiver:
listen_address: 0.0.0.0:514
udplog/second receiver:
listen_address: 127.0.0.1:5150
processor:
## All my example logs
sumologic_syslog/my example name:
# ...
source/some name:
source_category: My Category
Use the resourceprocessor to set custom fields.
For example, the following snippet configures two fields, cloud.availability_zone
and k8s.cluster.name
:
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
tcplog/second receiver:
listen_address: 127.0.0.1:5140
udplog/first receiver:
listen_address: 0.0.0.0:514
udplog/second receiver:
listen_address: 127.0.0.1:5150
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
The Installed Collector option to Extract timestamp information from log file entries
in an
OpenTelemtry configuration is clear_logs_timestamp
. This is set to true
by default.
This works like Extract timestamp information from log file entries
combined with
Ignore time zone from log file and instead use:
set to Use Collector Default
.
For example, the following configuration sets the time_zone for a Collector with extensions.sumologic.time_zone
:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
tcplog/second receiver:
listen_address: 127.0.0.1:5140
udplog/first receiver:
listen_address: 0.0.0.0:514
udplog/second receiver:
listen_address: 127.0.0.1:5150
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
If clear_logs_timestamp
is set to false
, timestamp parsing should be configured
manually, like in the following snippet:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
operators:
## Extract timestamp into timestamp field using regex
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/pkg/stanza/docs/operators/regex_parser.md
- type: regex_parser
regex: (?P<timestamp>^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3} (\+|\-)\d{4})
## Parse timestamp from timestamp field
## rel: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/pkg/stanza/docs/operators//time_parser.md
timestamp:
parse_from: attributes.timestamp
## Layout are substitute for Timestamp Format configuration
layout_type: gotime
layout: '2006-01-02 15:04:05,000 -0700'
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
exporters:
sumologic/some name:
## Keep manually parsed timestamps
clear_logs_timestamp: false
The following example snippet skips timestamp parsing so the Collector uses Receipt Time:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
exporters:
sumologic/some name:
The OpenTelemetry Collector requires the Source Name to be set manually.
In the exporter configuration, use the Sumologicsyslogprocessor
to set the facility
attribute.
For example:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
## Set Source Name to facility, which is set by sumologicsyslogprocessor
source_name: "%{facility}"
exporters:
sumologic/some name:
The OpenTelemetry Collector requires the Source Host to be set manually.
Set add_attributes
to true
for tcplogreceiver/udplogreceiver.
This adds connection related attributes,
especially net.peer.name
which should be set as the Source Host.
For example:
extensions:
sumologic:
time_zone: America/Tijuana
receivers:
tcplog/first receiver:
listen_address: 0.0.0.0:514
add_attributes: true
processors:
## All my example logs
sumologic_syslog/my example name:
# ...
transform/clear_logs_timestamp:
log_statements:
- context: log
statements:
- set(time_unix_nano, 0)
transform/my example name fields:
log_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_category: My Category
## Set Source Name to facility, which is set by sumologicsyslogprocessor
source_name: "%{facility}
source_host: "%{net.peer.name}
exporters:
sumologic/some name:
It is possible to scrape docker logs using Filelog Receiver, but the following features are not supported yet:
- metadata enrichment (sending container name along with container id)
- docker events
therefore we do not provide migration process for Docker Logs Source (DockerLog).
Docker Stats Source can be accessed with the Dockerstats receiver.
Below is an example of an OpenTelemetry configuration for a Docker Stats Source.
extensions:
sumologic:
installation_token: <installation_token>
## Time Zone is a substitute of Installed Collector `Time Zone`
## with `Use time zone from log file. If none is detected use:` option.
## This is used only if `clear_logs_timestamp` is set to `true` in sumologic exporter.
## Full list of time zones is available on wikipedia:
## https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
time_zone: America/Tijuana
receivers:
docker_stats:
## Docker daemon's socket address.
## Example for running Docker on MacOS with Colima, default is "unix:///var/run/docker.sock"
endpoint: "unix:///Users/<user>/.colima/default/docker.sock"
## Default is 10s
collection_interval: 20s
## A list of images for which corresponding containers won't be scraped.
## Strings, regexes and globs are supported, more information in the receiver's readme:
## https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/receiver/dockerstatsreceiver#configuration
excluded_images:
## Exclude particular image
- docker.io/library/nginx:1.2
## Exclude by regex
## Note: regex must be but between / characters
- /other-docker-registry.*nginx/
## Exclude by glob
- exclude-*-this/nginx
## Use negation: scrape metrics only from nginx containers
- !*nginx*
## Negation for regexes requires using ! before the slash character
- !/.*nginx.*/
## Timeout for any Docker daemon query.
timeout: 5s
## Must be 1.22 or above
api_version: 1.22
## Enable or disable particular metrics.
## Full list of metrics with their default config is available at https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/receiver/dockerstatsreceiver/documentation.md
metrics:
container.cpu.usage.percpu:
enabled: true
container.network.io.usage.tx_dropped:
enabled: false
processors:
filter/dockerstats:
metrics:
## To filter out, use "exclude" instead
include:
match_type: regexp
resource_attributes:
- key: container.name
value: sumo-container-.*
sumologicschema/dockerstats:
translate_docker_metrics: true
exporters:
sumologic/dockerstats:
service:
extensions:
- sumologic
pipelines:
metrics/docker_stats source:
receivers:
- docker_stats
processors:
- filter/dockerstats
- sumologicschema/dockerstats
exporters:
- sumologic/dockerstats
Please refer to the Name section of Common configuration.
Please refer to the Description section of Common configuration.
To specify URI, use endpoint
option:
receivers:
docker_stats:
## Docker daemon's socket address.
## Example for running Docker on MacOS with Colima, default is "unix:///var/run/docker.sock"
endpoint: "unix:///Users/<user>/.colima/default/docker.sock"
Cert Path
option is not supported in OpenTelemetry Collector.
Containers cannot be filtered by their name directly in the receiver. Filter Processor has to be used for that purpose. To filter in containers by their name, use the following processor config:
receivers:
docker_stats:
## ...
processors:
filter:
metrics:
## To filter out, use "exclude" instead
include:
match_type: regexp
resource_attributes:
- key: container.name
value: sumo-container-.*
You can also filter out containers by their image name through excluded_images
option:
receivers:
docker_stats:
## A list of images for which corresponding containers won't be scraped.
## Strings, regexes and globs are supported, more information in the receiver's readme:
## https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.108.0/receiver/dockerstatsreceiver#configuration
excluded_images:
## Exclude particular image
- docker.io/library/nginx:1.2
## Exclude by regex
## Note: regex must be but between / characters
- /other-docker-registry.*nginx/
## Exclude by glob
- exclude-*-this/nginx
## Use negation: scrape metrics only from nginx containers
- !*nginx*
## Negation for regexes requires using ! before the slash character
- !/.*nginx.*/
Valid names are strings, regexes and globs.
Negation can also be used, for example glob !my*container
will exclude all containers for which the image name doesn't match glob my*container
.
Please refer to the Source Host section of Common configuration.
Please refer to the Source Category section of Common configuration.
Please refer to the Fields/Metadata section of Common configuration.
To indicate a scan interval, use collection_interval
option:
receivers:
docker_stats:
## Default is 10s
collection_interval: 20s
In OpenTelemetry Collector, some metrics are being emitted by default, meanwhile some have to be enabled. You can enable emitting a metric by setting metrics.<metric_name>.enabled
to true
and disable it by setting this option to false
, for example:
receivers:
dockerstats:
metrics:
container.cpu.usage.percpu:
enabled: true
container.network.io.usage.tx_dropped:
enabled: false
The table below shows how some metrics commonly used by the Installed Collector map to OpenTelemetry metrics.
Installed Collector name | OpenTelemetry name | Notes |
---|---|---|
cpu_percentage | container.cpu.percent | |
online_cpus | not available | |
system_cpu_usage | container.cpu.usage.system | disabled by default |
cpu_usage.percpu_usage | container.cpu.usage.percpu | disabled by default |
cpu_usage.total_usage | container.cpu.usage.total | |
cpu_usage.usage_in_kernelmode | container.cpu.usage.kernelmode | |
cpu_usage.usage_in_usermode | container.cpu.usage.usermode | |
throttling_data.periods | container.cpu.throttling_data.periods | disabled by default |
throttling_data.throttled_periods | container.cpu.throttling_data.throttled_periods | disabled by default |
throttling_data.throttled_time | container.cpu.throttling_data.throttled_time | disabled by default |
failcnt | not available | |
limit | container.memory.usage.limit | |
max_usage | container.memory.usage.max | disabled by default |
memory_percentage | container.memory.percent | |
usage | container.memory.usage.total | |
stats.active_anon | container.memory.active_anon | disabled by default |
stats.active_file | container.memory.active_file | disabled by default |
stats.cache | container.memory.cache | |
stats.hierarchical_memory_limit | container.memory.hierarchical_memory_limit | disabled by default |
stats.inactive_anon | container.memory.inactive_anon | disabled by default |
stats.inactive_file | container.memory.inactive_file | disabled by default |
stats.mapped_file | container.memory.mapped_file | disabled by default |
stats.pgfault | container.memory.pgfault | disabled by default |
stats.pgmajfault | container.memory.pgmajfault | disabled by default |
stats.pgpgin | container.memory.pgpgin | disabled by default |
stats.pgpgout | container.memory.pgpgout | disabled by default |
stats.rss | container.memory.rss | disabled by default |
stats.rss_huge | container.memory.rss_huge | disabled by default |
stats.unevictable | container.memory.unevictable | disabled by default |
stats.writeback | container.memory.writeback | disabled by default |
stats.total_active_anon | container.memory.total_active_anon | disabled by default |
stats.total_active_file | container.memory.total_active_file | disabled by default |
stats.total_cache | container.memory.total_cache | |
stats.total_inactive_anon | container.memory.total_inactive_anon | disabled by default |
stats.total_mapped_file | container.memory.total_mapped_file | disabled by default |
stats.total_pgfault | container.memory.total_pgfault | disabled by default |
stats.total_pgmajfault | container.memory.total_pgmajfault | disabled by default |
stats.total_pgpgin | container.memory.total_pgpgin | disabled by default |
stats.total_pgpgout | container.memory.total_pgpgout | disabled by default |
stats.total_rss | container.memory.total_rss | disabled by default |
stats.total_rss_huge | container.memory.total_rss_huge | disabled by default |
stats.total_unevictable | container.memory.total_unevictable | disabled by default |
stats.total_writeback | container.memory.total_writeback | disabled by default |
io_merged_recursive | container.blockio.io_merged_recursive | disabled by default |
io_queue_recursive | container.blockio.io_queued_recursive | disabled by default |
io_service_bytes_recursive | container.blockio.io_service_bytes_recursive | |
io_service_time_recursive | container.blockio.io_service_time_recursive | disabled by default |
io_serviced_recursive | container.blockio.io_serviced_recursive | disabled by default |
io_time_recursive | container.blockio.io_time_recursive | disabled by default |
io_wait_time_recursive | container.blockio.io_wait_time_recursive | disabled by default |
sectors_recursive | container.blockio.sectors_recursive | disabled by default |
current | not available |
Full list of metrics available in this receiver can be found here.
Unfortunately, Sumo Logic apps don't work with these metric names yet. To convieniently translate them, use Sumo Logic Schema Processor:
processors:
sumologicschema/dockerstats:
translate_docker_metrics: true
The metadata sent by Installed Collector correspond to the metadata sent by OpenTelemetry Collector in the following way:
container.FullID
corresponds tocontainer.id
container.ID
, which is a shorter version ofcontainer.FullID
is not being emitted - if needed,transform
processor can be used to trim itcontainer.ImageName
corresponds tocontainer.image.name
container.Name
corresponds tocontainer.name
container.ImageID
andcontainer.ImageFullID
are not being emitted
These metadata is represented as resource attributes and can be translated by using Sumo Logic Schema Processor in the same way as for translating metric names, by using the following config:
processors:
sumologicschema/dockerstats:
translate_docker_metrics: true
In addition, there is some additional metadata sent by the OpenTelemetry Collector. Full list of it can be seen [here] dockerstatsmetrics.
Script Source is not supported by the OpenTelemetry Collector.
For the Streaming Metrics Source we are using the Telegraf receiver with socket_listener plugin.
Below is an example of an OpenTelemetry configuration for a Streaming Metrics Source.
extensions:
sumologic:
installation_token: <installation_token>
## Time Zone is a substitute of Installed Collector `Time Zone`
## Full list of time zones is available on wikipedia:
## https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
time_zone: America/Tijuana
receivers:
## There is no substitute for `Description` in current project phase.
## It is recommended to use comments for that purpose, like this one.
## telegraf/<source group name>:
## <source group name> can be substitute of Installed Collector `Name`.
telegraf/metrics source:
## Do not add metric field separately as data point label.
separate_field: false
## Telegraf configuration
agent_config: |
[agent]
## Get metrics every 15 seconds
interval = "15s"
## Flush metrics every 15 seconds
flush_interval = "15s"
## socket_listener listen on given protocol://hostname:port for metrics
[[inputs.socket_listener]]
## listen for metrics on UDP port 2006 on localhost
service_address = "udp://localhost:2006"
## Get metrics in carbon2 format
data_format = "carbon2"
processors:
## The following configuration will add two metadata properties to every record
transform/metric source:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source:
## Set _sourceName
source_name: my example name
## Installed Collector substitute for `Source Category`.
source_category: example category
## Installed Collector substitute for `Source Host`.
source_host: example host
exporters:
sumologic:
service:
extensions:
- sumologic
pipelines:
metrics/metric source:
receivers:
- telegraf/metrics source
processors:
- transform/metric source
exporters:
- sumologic
Please refer to the Name section of Common configuration.
Please refer to the Description section of Common configuration.
Protocol and Port can be configured using service_address
in Telegraf socket_listener
plugin configuration.
For example:
receivers:
## All my example metrics
telegraf/my example name:
## Telegraf configuration
agent_config: |
## socket_listener listen on given protocol://hostname:port for metrics
[[inputs.socket_listener]]
## listen for metrics on UDP port 2006 on localhost
service_address = "udp://localhost:2006"
## Get metrics in carbon2 format
data_format = "carbon2"
# ...
processors:
source:
source_name: my example name
Content Type can be configured using data_format
in the Telegraf socket_listener
plugin configuration.
Any of the available formats can be used, especially graphite
and carbon2
.
For example:
receivers:
## All my example metrics
telegraf/my example name:
## Telegraf configuration
agent_config: |
## socket_listener listen on given protocol://hostname:port for metrics
[[inputs.socket_listener]]
## listen for metrics on UDP port 2006 on localhost
service_address = "udp://localhost:2006"
## Get metrics in carbon2 format
data_format = "carbon2"
# ...
processors:
source:
source_name: my example name
Please refer to the Source Category section of Common configuration.
Please refer to the Fields/Metadata section of Common configuration.
It is recommended to use dedicated Sumo Logic app for Host Metrics for OpenTelemetry Collector. In order to use old dashboards, please follow the Using Telegraf Receiver section.
The equivalent of the Host Metrics Source is the telegraf receiver with appropiate plugins.
Note: The are differences between the Installed Collector and the Openelemetry Collector host metrics. See this document to learn more.
Below is an example of an OpenTelemetry configuration for a Host Metrics Source.
extensions:
sumologic:
installation_token: <installation_token>
## Time Zone is a substitute of Installed Collector `Time Zone`
## Full list of time zones is available on wikipedia:
## https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
time_zone: America/Tijuana
receivers:
## There is no substitute for `Description` in current project phase.
## It is recommended to use comments for that purpose, like this one.
## telegraf/<source group name>:
## <source group name> can be substitute of Installed Collector `Name`.
telegraf/metrics source:
## Do not add metric field separately as data point label.
separate_field: false
## Telegraf configuration
agent_config: |
[agent]
## Get metrics every 15 seconds
interval = "15s"
## Flush metrics every 15 seconds
flush_interval = "15s"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
## Memory metrics
[[inputs.mem]]
fieldpass = [ "total", "free", "used", "used_percent", "available", "available_percent" ]
## TCP metrics
[[inputs.netstat]]
fieldpass = [ "tcp_close", "tcp_close_wait", "tcp_closing", "tcp_established", "tcp_listen", "tcp_time_wait" ]
## Network metrics
[[inputs.net]]
interfaces = ["eth*", "en*", "lo*"]
ignore_protocol_stats = true
fieldpass = [ "bytes_sent", "bytes_recv", "packets_sent", "packets_recv" ]
## Disk metrics
[[inputs.disk]]
namepass = [ "disk" ]
fieldpass = [ "used", "used_percent", "inodes_free" ]
ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]
## Disk metrics
[[inputs.diskio]]
fieldpass = [ "reads", "read_bytes", "writes", "write_bytes" ]
processors:
## The following configuration will add two metadata properties to every record
transform/metrics source:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source:
## Set _sourceName
source_name: my example name
## Installed Collector substitute for `Source Category`.
source_category: example category
## Installed Collector substitute for `Source Host`.
source_host: example host
exporters:
sumologic:
## Ensure compability with Installed Colllector metric name
translate_telegraf_attributes: true
service:
extensions:
- sumologic
pipelines:
metrics/metric source:
receivers:
- telegraf/metrics source
processors:
- transform/metrics source
- source
exporters:
- sumologic
Please refer to the Name section of Common configuration.
Please refer to the Description section of Common configuration.
Please refer to the Source Host section of Common configuration.
Please refer to the Source Category section of Common configuration.
Please refer to the Fields/Metadata section of Common configuration.
To set Scan Interval use interval
in Telegraf's agent configuration.
The following example shows how to set it for 1 minute:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
Telegraf offers a set of various plugins you can use to get metrics. In this section, we are describing only plugins that are required for seamless migration from the Installed Collector. If you are interested in other metrics, see list of Telegraf input plugins.
Each of the subtopics contain a table that describes how Installed Collector metrics translate to Telegraf metrics.
To ensure all dashboards are working as before,
Telegraf metric names are translated to the Installed Collector by sumologicexporter.
You can disable this by setting translate_telegraf_attributes
to false
,
but in this case you need to update your dashboards.
To get CPU metrics we are using the inputs.cpu and the inputs.system Telegraf plugins.
Metric Name | Telegraf plugin | Telegraf metric name |
---|---|---|
CPU_User | inputs.cpu | cpu_usage_user |
CPU_Sys | inputs.cpu | cpu_usage_System |
CPU_Nice | inputs.cpu | cpu_usage_nice |
CPU_Idle | inputs.cpu | cpu_usage_idle |
CPU_IOWait | inputs.cpu | cpu_usage_iowait |
CPU_Irq | inputs.cpu | cpu_usage_irq |
CPU_SoftIrq | inputs.cpu | cpu_usage_softirq |
CPU_Stolen | inputs.cpu | cpu_usage_steal |
CPU_LoadAvg_1min | inputs.system | system_load1 |
CPU_LoadAvg_5min | inputs.system | system_load5 |
CPU_LoadAvg_15min | inputs.system | system_load15 |
CPU_Total | inputs.cpu | cpu_usage_active |
The following example shows the desired configuration:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
To get CPU metrics we are using the inputs.mem Telegraf plugin.
Metric Name | Telegraf plugin | Telegraf metric name |
---|---|---|
Mem_Total | inputs.mem | mem_total |
Mem_Used | N/A | N/A |
Mem_Free | inputs.mem | mem_free |
Mem_ActualFree | inputs.mem | mem_available |
Mem_ActualUsed | inputs.mem | mem_used |
Mem_UsedPercent | inputs.mem | mem_used_percent |
Mem_FreePercent | inputs.mem | mem_available_percent |
Mem_PhysicalRam | N/A | N/A |
The following example shows the desired configuration:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
## Memory metrics
[[inputs.mem]]
fieldpass = [ "total", "free", "used", "used_percent", "available", "available_percent" ]
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
To get TCP metrics we are using the inputs.netstat Telegraf plugin.
Metric Name | Telegraf plugin | Telegraf metric name |
---|---|---|
TCP_InboundTotal | N/A | N/A |
TCP_OutboundTotal | N/A | N/A |
TCP_Established | inputs.netstat | netstat_tcp_established |
TCP_Listen | inputs.netstat | netstat_tcp_listen |
TCP_Idle | N/A | N/A |
TCP_Closing | inputs.netstat | netstat_tcp_closing |
TCP_CloseWait | inputs.netstat | netstat_tcp_close_wait |
TCP_Close | inputs.netstat | netstat_tcp_close |
TCP_TimeWait | inputs.netstat | netstat_tcp_time_wait |
The following example shows the desired configuration:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
## Memory metrics
[[inputs.mem]]
fieldpass = [ "total", "free", "used", "used_percent", "available", "available_percent" ]
## TCP metrics
[[inputs.netstat]]
fieldpass = [ "tcp_close", "tcp_close_wait", "tcp_closing", "tcp_established", "tcp_listen", "tcp_time_wait" ]
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
To get network metrics we are using the inputs.net Telegraf plugin.
Metric Name | Telegraf plugin | Telegraf metric name |
---|---|---|
Net_InPackets | inputs.net | net_packets_recv |
Net_OutPackets | inputs.net | net_packets_sent |
Net_InBytes | inputs.net | net_bytes_recv |
Net_OutBytes | inputs.net | net_bytes_sent |
The following example shows the desired configuration:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
## Memory metrics
[[inputs.mem]]
fieldpass = [ "total", "free", "used", "used_percent", "available", "available_percent" ]
## TCP metrics
[[inputs.netstat]]
fieldpass = [ "tcp_close", "tcp_close_wait", "tcp_closing", "tcp_established", "tcp_listen", "tcp_time_wait" ]
## Network metrics
[[inputs.net]]
interfaces = ["eth*", "en*", "lo*"]
ignore_protocol_stats = true
fieldpass = [ "bytes_sent", "bytes_recv", "packets_sent", "packets_recv" ]
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
To get disk metrics we are using the inputs.diskio and the inputs.disk Telegraf plugins.
Metric Name | Telegraf plugin | Telegraf metric name |
---|---|---|
Disk_Reads | inputs.diskio | diskio_reads |
Disk_ReadBytes | inputs.diskio | diskio_read_bytes |
Disk_Writes | inputs.diskio | diskio_writes |
Disk_WriteBytes | inputs.diskio | diskio_write_bytes |
Disk_Queue | N/A | N/A |
Disk_InodesAvailable | inputs.disk | disk_inodes_free |
Disk_Used | inputs.disk | disk_used |
Disk_UsedPercent | inputs.disk | disk_used_percent |
Disk_Available | N/A | N/A |
The following example shows the desired configuration:
receivers:
## All my example metrics
telegraf/my example name:
agent_config: |
[agent]
interval = "1m"
flush_interval = "1m"
## CPU metrics
[[inputs.cpu]]
percpu = false
totalcpu = true
collect_cpu_time = false
report_active = true
namepass = [ "cpu" ]
fieldpass = [ "usage_active", "usage_steal", "usage_iowait", "usage_irq", "usage_user", "usage_idle", "usage_nice", "usage_system", "usage_softirq" ]
## CPU metrics
[[inputs.system]]
namepass = [ "system" ]
fieldpass = [ "load1", "load5", "load15" ]
## Memory metrics
[[inputs.mem]]
fieldpass = [ "total", "free", "used", "used_percent", "available", "available_percent" ]
## TCP metrics
[[inputs.netstat]]
fieldpass = [ "tcp_close", "tcp_close_wait", "tcp_closing", "tcp_established", "tcp_listen", "tcp_time_wait" ]
## Network metrics
[[inputs.net]]
interfaces = ["eth*", "en*", "lo*"]
ignore_protocol_stats = true
fieldpass = [ "bytes_sent", "bytes_recv", "packets_sent", "packets_recv" ]
## Disk metrics
[[inputs.disk]]
namepass = [ "disk" ]
fieldpass = [ "used", "used_percent", "inodes_free" ]
ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]
## Disk metrics
[[inputs.diskio]]
fieldpass = [ "reads", "read_bytes", "writes", "write_bytes" ]
# ...
processors:
transform/my example name fields:
metric_statements:
- context: resource
statements:
- set(attributes["cloud.availability_zone"], "zone-1")
- set(attributes["k8s.cluster.name"], "my-cluster")
source/some name:
source_name: my example name
source_host: my_host
source_category: My Category
There is no migration process from Installed Collector to OpenTelemetry Collector. In order to use OpenTelemetry Collector, dedicated Sumo Logic app needs to be installed.
There is no migration process from Installed Collector to OpenTelemetry Collector.
Windows Active Directory Source is not supported by the OpenTelemetry Collector.
Script Action is not supported by the OpenTelemetry Collector.
This section describes migration steps for an Installed Collector managed with a Local Configuration File.
The following table shows the equivalent user.properties for OpenTelemetry.
user.properties key | The OpenTelemetry Collector Key |
---|---|
wrapper.java.command=JRE Bin Location |
N/A |
accessid=accessId |
N/A, use extensions.sumologic.installation_token |
accesskey=accessKey |
N/A, use extensions.sumologic.installation_token |
category=category |
extensions.sumologic.collector_category |
clobber=true/false |
extensions.sumologic.clobber |
description=description |
extensions.sumologic.collector_description |
disableActionSource=true/false |
N/A |
disableScriptSource=true/false |
N/A |
disableUpgrade=true/false |
N/A |
enableActionSource=true/false |
N/A |
enableScriptSource=true/false |
N/A |
ephemeral=true/false |
N/A |
fields=[list of fields] |
extensions.sumologic.collector_fields |
fipsJce=true/false |
N/A |
hostName=hostname |
processors.source.source_host |
name=name |
extensions.sumologic.collector_name |
proxyHost=host |
please see OTC documentation |
proxyNtlmDomain=NTLM domain |
please see OTC documentation |
proxyPassword=password |
please see OTC documentation |
proxyPort=port |
please see OTC documentation |
proxyUser=username |
please see OTC documentation |
skipAccessKeyRemoval=true/false |
N/A |
sources=absolute filepath or folderpath |
Use --config flag |
syncSources=absolute filepath or folderpath |
Use --config flag |
targetCPU=target |
N/A |
timeZone=timezone |
extensions.sumologic.time_zone |
token=token |
extensions.sumologic.installation_token |
url=collection endpoint |
extensions.sumologic.api_base_url |
wrapper.java.command=JRE Bin Location |
N/A |
wrapper.java.command=JRE Bin Location |
N/A |
wrapper.java.maxmemory=size |
N/A |
This section describes migration steps for common parameters.
sourceType
migration:
- LocalFile
- RemoteFileV2
- Syslog
- DockerLog
- DockerStats
- Script
- StreamingMetrics
- SystemStats
- LocalWindowsEventLog
- RemoteWindowsEventLog
- LocalWindowsPerfMon
- RemoteWindowsPerfMon
- ActiveDirectory
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
name |
processors.source.source_name |
description |
A description can be added as a comment just above the receiver name. See the linked example. |
fields |
Use Transform Processor to set custom fields. See the linked example. |
hostName |
processors.source.source_host; See the linked example. |
category |
processors.source.source_category |
automaticDateParsing |
See Timestamp Parsing explanation |
timeZone |
See Timestamp Parsing explanation |
forceTimeZone |
See Timestamp Parsing explanation |
defaultDateFormat |
See Timestamp Parsing explanation |
defaultDateFormats |
See Timestamp Parsing explanation |
multilineProcessingEnabled |
See Multiline Processing explanation |
useAutolineMatching |
See Multiline Processing explanation |
manualPrefixRegexp |
See Multiline Processing explanation |
filters |
See filtering explanation |
cutoffTimestamp |
Use Filter Processor |
cutoffRelativeTime |
N/A |
Filter processor can be used to filter data that will be sent to Sumo Logic.
Like in case of Installed Collector's filters, you can include
or exclude
data.
Below is an example of how to filter data.
processors:
filter/bodies:
logs:
exclude:
match_type: regexp
## Exclude logs that start with "unimportant-log-prefix"
bodies:
- unimportant-log-prefix.*
metrics:
include:
match_type: regexp
## Include metrics that end with "_percentage"
metric_names:
- .*_percentage
## Include metrics that have a field "server.endpoint" with value "desired-endpoint"
resource_attributes:
- key: server.endpoint
value: desired-endpoint
exclude:
match_type: strict
## Exclude metrics that have names "dummy_metric" or "another_one"
metric_names:
- dummy_metric
- another_one
All possible options for filters can be found in the Filter processor's documentation.
To achieve the Mask filter, you can use Transform processor. It can be used on log bodies, attributes and fields. Below is an example config of that processor.
processors:
transform:
metric_statements:
## Replace EVERY attribute that matches a regex.
- context: datapoint
statements:
- replace_all_matches(attributes, ".*password", "***")
trace_statements:
## Replace a particular field if the value matches.
## For patterns, you can use regex capture groups by using regexp.Expand syntax: https://pkg.go.dev/regexp#Regexp.Expand
- context: resource
statements:
- replace_pattern(attributes["name"], "^kubernetes_([0-9A-Za-z]+_)", "k8s.$$1.")
## Replace an attribute with value matching a regex.
- context: span
statements:
- replace_match(attributes["http.target"], "/user/*/list/*", "/user/{userId}/list/{listId}")
log_statements:
## Replace sensitive data inside log body
- context: log
statements:
- replace_pattern(body, "token - ([a-zA-Z0-9]{32})", "token - ***")
All possible options for masking can be seen in the Transform processor's documentation
and the documentation of OTTL functions (functions replace_match
, replace_all_matches
, replace_pattern
, replace_all_patterns
).
To forward data to some other place than Sumo Logic
(for example, a syslog server or a generic http API),
you should define exporters that will send data to desired places and use them in the same pipeline as Sumo Logic exporter:
receivers:
filelog:
## ...
exporters:
sumologic:
## ...
syslog:
protocol: tcp # or udp
port: 6514 # 514 (UDP)
endpoint: 127.0.0.1 # FQDN or IP address
tls:
ca_file: certs/servercert.pem
cert_file: certs/cert.pem
key_file: certs/key.pem
format: rfc5424 # rfc5424 or rfc3164
## Note: otlphttp exporter sends data only in otlp format
otlphttp:
logs_endpoint: http://example.com:4318/v1/logs
service:
pipelines:
logs:
receivers: [filelog]
processors: []
exporters: [sumologic, syslog, otlphttp]
Out of methods available in Installed Collector, only Syslog is available now in the OpenTelemetry Collector.
The equivalent of the Local File Source is the filelog receiver. More useful information can be found in Local File Source for Cloud Based Management.
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
pathExpression |
element of receivers.filelog.include list |
denylist |
receivers.filelog.exclude |
encoding |
receivers.filelog.encoding |
Remote File Source is not supported by the OpenTelemetry Collector.
The equivalent of the Syslog Source is a combination of the TCP or the UDP receivers and the sumologicsyslog processor.
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
protocol |
using tcplog or udplog receiver. See syslog explanation |
port |
receivers.tcplog.listen_address or receivers.udplog.listen_address . See syslog explanation |
Docker Logs Source (DockerLog) is not supported by the OpenTelemetry Collector. Refer to Docker Logs Source for details.
The equivalent of the Docker Stats Source is the Docker Stats receiver. More useful information can be found in Docker Stats Source for Cloud Based Management.
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
contentType | N/A |
metrics | receivers.docker_stats.metrics |
uri | receivers.docker_stats.endpoint |
specifiedContainers | processors.filter.metrics.include |
allContainers | N/A, list of containers can be controlled by using processors.filter.metrics |
certPath | N/A |
pollInterval | receivers.docker_stats.collection_interval |
Script Source is not supported by the OpenTelemetry Collector.
The equivalent of the Streaming Metrics Source is the telegraf receiver with appropiate plugins. More useful information can be found in Streaming Metrics Source for Cloud Based Management.
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
name |
processors.source.source_name |
description |
A description can be added as a comment just above the receiver name. See the linked example. |
category |
processors.source.source_category |
contentType |
receivers.telegraf.agent_config('inputs.socket_listener'.data_format) |
protocol |
receivers.telegraf.agent_config('inputs.socket_listener'.service_address) |
port |
receivers.telegraf.agent_config('inputs.socket_listener'.service_address) |
The equivalent of the Host Metrics Source is the telegraf receiver with appropiate plugins. More useful information can be found in Host Metrics Source for Cloud Based Management.
Note: The are differences between the Installed Collector and the Openelemetry Collector host metrics. See this document to learn more.
The Installed Collector Parameter | The OpenTelemetry Collector Key |
---|---|
name |
processors.source.source_name |
description |
A description can be added as a comment just above the receiver name. See the linked example. |
category |
processors.source.source_category |
metrics |
Appropiate plugins have to be configured. By default no metrics are being processed. |
interval (ms) |
receivers.telegraf.agent_config('agent'.interval) |
hostName |
processors.source.source_host |
There is no migration process from Installed Collector to OpenTelemetry Collector. In order to use OpenTelemetry Collector, dedicated Sumo Logic app needs to be installed.
Remote Windows Event Log Source is not supported by the OpenTelemetry Collector.
There is no migration process from Installed Collector to OpenTelemetry Collector.
Remote Windows Performance Source is not supported by the OpenTelemetry Collector.
Windows Active Directory Source is not supported by the OpenTelemetry Collector.