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Logs generated by most AWS services (CloudtrailCloudTrail, VPC Flows, Elastic Load Balancer, etc.) are exportable to a blob object in S3. Many other 3rd party services have also adopted this paradigm so it has become a common pattern used by many different technologies. Devo Professional Services and Technical Acceleration teams have a base-collector code that will leverage this S3 paradigm to collect logs and can be customized for different customer's different technology logs that may be stored in S3.

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• Sending data to S3 (this guide uses Cloudtrail CloudTrail as a data source service)

• Setting up S3 event notifications to SQS

• Enabling SQS and S3 access using a cross-account IAM role

• Gathering information to be provided to Devo for collector setup

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• Access to S3, SQS, IAM, and CloudTrail services

• Permissions to send data to S3

• Knowledge of log format/technology type being stored in S3

Create S3 bucket and set up data feed (CloudTrail example) 

Check this article for a setup configuration example.

Devo collector features

Data sources

Options

See examples of common configurations here: General S3 Collector Configuration Examples and Recipes
There are many configurable options outlined in the README on the GitLab link, reproduced here. See GitLab repository for specific examples in each subdirectory.

• direct_mode --- true or false (default is false), set to true if the logs are being sent directly to the queue without using s3.

• file_field_definitions --- defined as a dictionary mapping variable names (you decide) to lists of parsing rules.
  each parsing rule has an operator, with its own keys which go along with it. Parsing rules are applied in the order they are listed in the configuration.

  • The "split" operator takes an "on" and an "element" -- the file name will split into pieces on the character or character sequence specified by "on" and extract whatever is at the specified "element" index as in the example.

  • the "replace" operator take a "to_replace" and a "replace_with"

  • For example, if your filename were "server_logs/12409834/ff.gz", this configuration would store the log_type as "serverlogs"

"file_field_definitions": 
{
	"log_type": [{"operator": "split", "on": "/", "element": 0}, {"operator": "replace", "to_replace": "_", "replace_with": ""}]
}

• filename_filter_rules: a list of rules for filtering out entire files.

• encoding -- takes a string from one of the following: “gzip” “none” “parquet”

• ack_messages -- whether or not to delete messages from the queue after processing, takes boolean values. If not specified, default is true. We recommend leaving this out of the config. If you see it in there, pay close attention to if it’s on or off.

• file_format -- takes a dictionary with the following keys

  • type -- a string specifying which processor to use

    • single_json_object -- logs are stored as/in a json object

      • single_json_object_processor config options: “key” (string: the key of where the list of logs is stored) See cloudtrail_collector for example.

        • Code Block
          config: {"key": "log"} fileobj: {..."log": {...}}

    • unseparated_json_processor -- logs are stored as/in json objects which are written in a text file with no separator

      • unseparated_json config options: “key” (string: where the log is stored), “include” (dict: maps names of keys outside of inner part to be included, which can be renamed). If there is no key, that is, the whole JSON object is the desired log, set “flat”: true See aws_config_collector for example

        • Code Block
          fileobj: {...}{...}{...}

    • text_file_processor -- logs are stored as text files, potentially with lines and fields separated with e.g. commas and newlines

      • text_file config options: includes options for how lines and records are separated (e.g. newline, tab, comma), good for csv style data.

    • line_split_processor –- logs stored in a newline separated file, works more quickly than separated_json_processor

      • config options: “json”: true or false. If setting json to true, assumes that logs are newline-separated json, and allows them to be parsed by the collector therefore enabling record-field mapping

    • separated_json_processor – logs stored as many json objects that have some kind of separator

      • config options: specify the separator e.g. “separator”: “||”. the default is newline if left unused.

        • Code Block
          fileobj: {...}||{...}||{...}

    • jamf_processor – special processor for JAMF logs

    • aws_access_logs_processor – special processor for AWS access logs

    • windows_security_processor – special processor for Windows Security logs

    • vpc_flow_processor – special processor for VPC Flow logs

    • json_line_arrays_processor – processor for unseparated json objects that are on multiple lines of a single file

      • Code Block
        fileobj: {...}{...} {...}{...}{...} {...}

    • dict_processor – processor for logs that comes as python dictionary objects, i.e. in direct mode

  • config -- a dictionary of information the specified file_format processor needs

• record_field_mapping -- a dictionary -- each key defines a variable that can be parsed out from each record (which may be referenced later in filtering)
  e.g., we may want to parse something and call it "type", by getting "type" from a certain key in the record (which may be multiple layers deep).

  Code Block
  {"type": {"keys": ["file", "type"]}, "operations": [] }

  keys is a list of how key values in the record to look into to find the value, its to handle nesting (essentially defining a path through the data). Suppose we have logs that look like this:

  Code Block
  {“file”: {“type”: { “log_type” : 100}}}

  so if we want to get the log_type, we should list all the keys needed to parse through the json in order:

  Code Block
  keys: [“file”, “type”, “log_type”]

  In many cases you will probably only need one key.

  e.g. in flat json that isn’t nested

  Code Block
  {“log_type”: 100, “other_info”: “blah” ….}

  here you would just specify keys: [“log_type”]. A few operations are supported that can be used to further alter the parsed information (like split and replace). This snippet would grab whatever is located at log[“file”][“type”] and name it as “type”. record_field_mapping defines variables by taking them from logs, and these variables can then be used for filtering. Let’s say you have a log in json format like this which will be set to devo:

  Code Block
  {“file”: {“value”: 0, “type”: “security_log”}}

  Specifying “type” in the record_field_mapping will allow the collector to extract that value, “security_log” and save it as type. Now let’s say you want to change the tag dynamically based on that value. You could change the routing_template to something like my.app.datasource.[record-type]. In the case of the log above, it would be sent to my.app.datasource.security_log. Now let’s say you want to filter out (not send) any records which have the type security_log. You could write a line_filter_rule as follows:

  {"source": "record", "key": "type", "type": "match", "value": "security_log" } We specified the source as record because we want to use a variable from the record_field_mapping. We specified the key as “type” because that is the name of the variable we defined. We specify type as “match” because any record matching this rule we want to filter out. And we specify the value as security_log because we specifically do not want to send any records with the type equalling “security_log” The split operation is the same as if you ran the python split function on a string.

  Let’s say you have a filename “logs/account_id/folder_name/filename” and you want to save the account_id as a variable to use for tag routing or filtering.

  You could write a file_field_definition like this:

  "account_id": [{"operator": "split", "on": "/", "element": 1}]

  This would store a variable called account_id by taking the entire filename and splitting it into pieces based on where it finds backslashes, then take the element as position one. In Python it would look like:

  Code Block
  filename.split(“/”)[1]

• routing_template -- a string defining how to build the tag to send each message. e.g.
  "my.app.wow.[record-type].[file-log_type]" -- if the "type" extracted during record_field_mapping were "null", the record would be sent to the tag "my.app.wow.null"

• line_filter_rules -- a list of lists of rules for filtering out individual records so they do not get sent to devo
  for example:

"line_filter_rules": [
	[{
        "source": "record",
        "key": "type",
        "type": "doesnotmatch",
        "value": "ldap"
      }],
    [
      {"source": "file", "key": "main-log_ornot", "type": "match", "value": "main-log"},
      {"source": "record", "key": "type", "type": "match", "value": "kube-apiserver-audit"},
    ]
  ]

This set of rules could be expressed in pseudocode as follows:
if record.type != "ldap" OR (file.main-log_ornot == main-log AND record.type == "kube-api-server-audit"):
do_not_send_record()

(Internal) Notes + Debugging
Config can include "debug_mode": true to print out some useful information as logs come in.
For local testing it is useful to set "ack_messages" to false, to try processing without eating from the queue. Be careful to remove this or set it to true when launching the collector. The default is to ack messages if it is not set.

If something seems wrong at launch, you can set the following in the collector parameters/ job config.

"debug_mode": true,
"do_not_send": true,
"ack_messages": false

...

Run the collector

Rw ui tabs macro

Rw tab title Cloud collector We use a piece of software called Collector Server to host and manage all our available collectors. To enable the collector for a customer: In the Collector Server GUI, access the domain in which you want this instance to be created Click Add Collector and find the one you wish to add. In the Version field, select the latest value. In the Collector Name field, set the value you prefer (this name must be unique inside the same Collector Server domain). In the sending method select Direct Send. Direct Send configuration is optional for collectors that create Table events, but mandatory for those that create Lookups. In the Parameters section, establish the Collector Parameters as follows below: Editing the JSON configuration Code Block { "global_overrides": { "debug": false }, "inputs": { "sqs_collector": { "id": "12351", "enabled": true, "credentials": { "aws_access_key_id": "", "aws_secret_access_key": "", "aws_base_account_role": "arn:aws:iam::837131528613:role/devo-xaccount-cs-role", "aws_cross_account_role": "", "aws_external_id": "" }, "ack_messages": false, "direct_mode": false, "do_not_send": false, "compressed_events": false, "base_url": "https://us-west-1.queue.amazonaws.com/id/name-of-queue", "region": "us-west-1", "sqs_visibility_timeout": 240, "sqs_wait_timeout": 20, "sqs_max_messages": 1, "services": { "custom_service": { "file_field_definitions": {}, "filename_filter_rules": [], "encoding": "gzip", "send_filtered_out_to_unknown": false, "file_format": { "type": "line_split_processor", "config": { "json": true } }, "record_field_mapping": { "event_simpleName": { "keys": [ "event_simpleName" ] } }, "routing_template": "edr.crowdstrike.cannon", "line_filter_rules": [ [ { "source": "record", "key": "event_simpleName", "type": "match", "value": "EndOfProcess" } ], [ { "source": "record", "key": "event_simpleName", "type": "match", "value": "DeliverLocalFXToCloud" } ] ] } } } } } Info All defined service entities will be executed by the collector. If you do not want to run any of them, just remove the entity from the services object. Note Please replace the placeholders with real world values following the description table below Parameter Data type Type Value range / Format Details debug_status bool Mandatory false / true If the value is true, the debug logging traces will be enabled when running the collector. If the value is false, only the info, warning and error logging levels will be printed. short_unique_id int Mandatory Minimum length: 1 Maximum length: 5 Use this param to give an unique id to this input service. Note This parameter is used to build the persistence address, do not use the same value for multiple collectors. It could cause a collision. enabled bool Mandatory false / true Use this param to enable or disable the given input logic when running the collector. If the value is true, the input will be run. If the value is false, it will be ignored. base_url str Mandatory   By default, the base url is https://sqs.region.amazonaws.com/account-number/queue-name. This needs to be set to the url of sqs. aws_access_key_id str Mandatory/Optional Any Only needed if not using cross account aws_secret_access_key str Mandatory/Optional Any Only needed if not using cross account aws_base_account_role str Mandatory/Optional Any Only needed if using cross account This is devos cross account role aws_cross_account_role str Mandatory/Optional Any Only needed if using cross account This is your cross account role aws_external_id str Optional Any Extra security you can set up ack_messages bool Manatory false / true Needs to be set to true to delete messages from the queue. Leave false until testing complete direct_mode bool Optional false / true Set to False for most all scenarios. This parameter should be removed if it is not used. do_not_send bool Optional false / true Set to True to not send the log to Devo. This parameter should be removed if it is not used. sqs_visibility_timeout int Mandatory Min: 120 Max: 43200 (haven’t needed to test higher) This parameter specifies how long the object will be held by the collector. If it is not processed and deleted within the allotted time in seconds. The message will be put back and can be processed again. Set this parameter for timeouts between the queue and the collector, the collector has to download large files and process them. Otherwise defaults to 120. For Crowdstrike FDR some messages can take 10-15 minutes to process please set the timeout to help duplicate reduction. sqs_wait_timeout int Mandatory Min: 20 Max: 20 This is how long polling works. It will wait per poll the value of seconds listed. If no message is found, it will return Long poll did not find any messages in queue. All data in the SQS queue has been successfully collected. sqs_max_messages int Mandatory Min: 1 Max: 6 This is now 1 always and forever. region str Mandatory Example: us-east-1 This is the region that is in the base url compressed_events bool Mandatory This needs to be true or False Only works with GZIP compression should be false unless you see this below. If you see any errors ‘utf-8' codec can't decode byte 0xa9 in position 36561456: invalid start byte it might be the events need to be decompressed encoding str Optional   This parameter means the way the log files are encoded inside the s3 bucket. Options from most used to least used. gzip none parquet latin-1 Note It can accept any other string like ascii or utf-16. It is just trying to read the file format. Rw tab title On-premise collector This data collector can be run in any machine that has the Docker service available because it should be executed as a docker container. The following sections explain how to prepare all the required setup for having the data collector running. Structure The following directory structure should be created for being used when running the collector: Code Block <any_directory> └── devo-collectors/ └── <product_name>/ ├── certs/ │ ├── chain.crt │ ├── <your_domain>.key │ └── <your_domain>.crt ├── state/ └── config/ └── config.yaml Note Replace <product_name> with the proper value. Devo credentials In Devo, go to Administration → Credentials → X.509 Certificates, download the Certificate, Private key and Chain CA and save them in <product_name>/certs/. Learn more about security credentials in Devo here. Image Added Note Replace <product_name> with the proper value. Editing the config.yaml file Code Block globals: debug: <debug_status> id: <collector_id> name: <collector_name> persistence: type: filesystem config: directory_name: state multiprocessing: false queue_max_size_in_mb: 1024 queue_max_size_in_messages: 1000 queue_max_elapsed_time_in_sec: 60 queue_wrap_max_size_in_messages: 100 outputs: devo_1: type: devo_platform config: address: <devo_address> port: 443 type: SSL chain: <chain_filename> cert: <cert_filename> key: <key_filename> inputs: sqs: id: 12345 enabled: true credentials: aws_access_key_id: password aws_secret_access_key: secret-access-key aws_base_account_role: arn:aws:iam::837131528613:role/devo-xaccount-cs-role aws_cross_account_role: arn:aws:iam::{account-id}:role/{role-name} aws_external_id: extra_security_optional region: region base_url: https://sqs.{region}.amazonaws.com/{account-number}/{queue-name} sqs_visibility_timeout: 120 sqs_wait_timeout: 20 sqs_max_messages: 4 ack_messages: false direct_mode: false do_not_send: false compressed_events: false services: custom_service: file_field_definitions: {} filename_filter_rules: [] encoding: gzip ack_messages: false file_format: type: single_json_object_processor config: key: Records record_field_mapping: {} routing_template: my.app.source1.type1 line_filter_rules: [] Info All defined service entities will be executed by the collector. If you do not want to run any of them, just remove the entity from the services object. Replace the placeholders with your required values following the description table below: Parameter Data type Type Value range Details debug_status bool Mandatory false / true If the value is true, the debug logging traces will be enabled when running the collector. If the value is false, only the info, warning and error logging levels will be printed. collector_id int Mandatory Minimum length: 1 Maximum length: 5 Use this param to give an unique id to this collector. collector_name str Mandatory Minimum length: 1 Maximum length: 10 Use this param to give a valid name to this collector. devo_address str Mandatory collector-us.devo.io collector-eu.devo.io Use this param to identify the Devo Cloud where the events will be sent. chain_filename str Mandatory Minimum length: 4 Maximum length: 20 Use this param to identify the chain.cert  file downloaded from your Devo domain. Usually this file's name is: chain.crt cert_filename str Mandatory Minimum length: 4 Maximum length: 20 Use this param to identify the file.cert downloaded from your Devo domain. key_filename str Mandatory Minimum length: 4 Maximum length: 20 Use this param to identify the file.key downloaded from your Devo domain. short_unique_id int Mandatory Minimum length: 1 Maximum length: 5 Use this param to give an unique id to this input service. Note This parameter is used to build the persistence address, do not use the same value for multiple collectors. It could cause a collision. input_status bool Mandatory false / true Use this param to enable or disable the given input logic when running the collector. If the value is true, the input will be run. If the value is false, it will be ignored. base_url str Mandatory   By default, the base url is https://sqs.region.amazonaws.com/account-number/queue-name. This needs to be set to the url of sqs. aws_access_key_id str Mandatory/Optional Any Only needed if not using cross account aws_secret_access_key str Mandatory/Optional Any Only needed if not using cross account aws_base_account_role str Mandatory/Optional Any Only needed if using cross account This is devos cross account role aws_cross_account_role str Mandatory/Optional Any Only needed if using cross account This is your cross account role aws_external_id str Optional Any Extra security you can set up ack_messages bool Manatory false / true Needs to be set to true to delete messages from the queue. Leave false until testing complete direct_mode bool Optional false / true Set to False for most all scenarios. This parameter should be removed if it is not used. do_not_send bool Optional false / true Set to True to not send the log to Devo. This parameter should be removed if it is not used. sqs_visibility_timeout int Mandatory Min: 120 Max: 43200 (haven’t needed to test higher) This parameter specifies how long the object will be held by the collector. If it is not processed and deleted within the allotted time in seconds. The message will be put back and can be processed again. Set this parameter for timeouts between the queue and the collector, the collector has to download large files and process them. Otherwise defaults to 120. For Crowdstrike FDR some messages can take 10-15 minutes to process please set the timeout to help duplicate reduction. sqs_wait_timeout int Mandatory Min: 20 Max: 20 This is how long polling works. It will wait per poll the value of seconds listed. If no message is found, it will return Long poll did not find any messages in queue. All data in the SQS queue has been successfully collected. sqs_max_messages int Mandatory Min: 1 Max: 6 This is now 1 always and forever. region str Mandatory Example: us-east-1 This is the region that is in the base url compressed_events bool Mandatory This needs to be true or False Only works with GZIP compression should be false unless you see this below. If you see any errors ‘utf-8' codec can't decode byte 0xa9 in position 36561456: invalid start byte it might be the events need to be decompressed encoding str Optional   This parameter means the way the log files are encoded inside the s3 bucket. Options from most used to least used. gzip none parquet latin-1 Note It can accept any other string like ascii or utf-16. It is just trying to read the file format. Download the Docker image The collector should be deployed as a Docker container. Download the Docker image of the collector as a .tgz file by clicking the link in the following table: Collector Docker image SHA-256 hash collector-aws_sqs_if-docker-image-1.7.0 4b75fb4481203b5a416eb9523ef97b5fa09a939f530265b0158f530777398d28 Use the following command to add the Docker image to the system: Code Block gunzip -c <image_file>-<version>.tgz | docker load Note Once the Docker image is imported, it will show the real name of the Docker image (including version info). Replace <image_file> and <version> with a proper value. The Docker image can be deployed on the following services: Docker Execute the following command on the root directory <any_directory>/devo-collectors/<product_name>/ Code Block docker run --name collector-<product_name> --volume $PWD/certs:/devo-collector/certs --volume $PWD/config:/devo-collector/config --volume $PWD/state:/devo-collector/state --env CONFIG_FILE=config.yaml --rm --interactive --tty <image_name>:<version> Note Replace <product_name>, <image_name> and <version> with the proper values. Docker Compose The following Docker Compose file can be used to execute the Docker container. It must be created in the <any_directory>/devo-collectors/<product_name>/ directory. Code Block version: '3' services: collector-<product_name>: image: <image_name>:${IMAGE_VERSION:-latest} container_name: collector-<product_name> volumes: - ./certs:/devo-collector/certs - ./config:/devo-collector/config - ./credentials:/devo-collector/credentials - ./state:/devo-collector/state environment: - CONFIG_FILE=${CONFIG_FILE:-config.yaml} To run the container using docker-compose, execute the following command from the <any_directory>/devo-collectors/<product_name>/ directory: Code Block IMAGE_VERSION=<version> docker-compose up -d Note Replace <product_name>, <image_name> and <version> with the proper values.

Verify data collection

Once the collector has been launched, it is important to check if the ingestion is performed in a proper way. To do so, go to the collector’s logs console.

This service has the following components:

Setup output

A successful run has the following output messages for the setup module:

2024-01-16T12:47:04.044    INFO OutputProcess::MainThread -> Process started
2024-01-16T12:47:04.044    INFO InputProcess::MainThread -> Process Started
2024-01-16T12:47:04.177    INFO InputProcess::MainThread -> InputThread(sqs_collector,12345) - Starting thread (execution_period=60s)
2024-01-16T12:47:04.177    INFO InputProcess::MainThread -> ServiceThread(sqs_collector,12345,aws_sqs_vpc,predefined) - Starting thread (execution_period=60s)
2024-01-16T12:47:04.177    INFO InputProcess::MainThread -> AWSsqsPullerSetup(unknown,sqs_collector#12345,aws_sqs_vpc#predefined) -> Starting thread
2024-01-16T12:47:04.177    INFO InputProcess::MainThread -> AWSsqsPuller(sqs_collector,12345,aws_sqs_vpc,predefined) - Starting thread
2024-01-16T12:47:04.178 WARNING InputProcess::AWSsqsPuller(sqs_collector,12345,aws_sqs_vpc,predefined) -> Waiting until setup will be executed
2024-01-16T12:47:04.191    INFO OutputProcess::MainThread -> ConsoleSender(standard_senders,console_sender_0) -> Starting thread
2024-01-16T12:47:04.191    INFO OutputProcess::MainThread -> ConsoleSenderManagerMonitor(standard_senders,console_1) -> Starting thread (every 300 seconds)
2024-01-16T12:47:04.191    INFO OutputProcess::MainThread -> ConsoleSenderManager(standard_senders,manager,console_1) -> Starting thread
2024-01-16T12:47:04.192    INFO OutputProcess::MainThread -> ConsoleSender(lookup_senders,console_sender_0) -> Starting thread
2024-01-16T12:47:04.192    INFO OutputProcess::ConsoleSenderManager(standard_senders,manager,console_1) -> [EMERGENCY PERSISTENCE SYSTEM] ConsoleSenderManager(standard_senders,manager,console_1) -> Nothing retrieved from the persistence.
2024-01-16T12:47:04.192    INFO OutputProcess::OutputStandardConsumer(standard_senders_consumer_0) -> [EMERGENCY PERSISTENCE SYSTEM] OutputStandardConsumer(standard_senders_consumer_0) -> Nothing retrieved from the persistence.
2024-01-16T12:47:04.192    INFO OutputProcess::MainThread -> ConsoleSenderManagerMonitor(lookup_senders,console_1) -> Starting thread (every 300 seconds)
2024-01-16T12:47:04.192    INFO OutputProcess::MainThread -> ConsoleSenderManager(lookup_senders,manager,console_1) -> Starting thread
2024-01-16T12:47:04.193    INFO OutputProcess::MainThread -> ConsoleSender(internal_senders,console_sender_0) -> Starting thread
2024-01-16T12:47:04.193    INFO OutputProcess::ConsoleSenderManager(lookup_senders,manager,console_1) -> [EMERGENCY PERSISTENCE SYSTEM] ConsoleSenderManager(lookup_senders,manager,console_1) -> Nothing retrieved from the persistence.
2024-01-16T12:47:04.193    INFO OutputProcess::MainThread -> ConsoleSenderManagerMonitor(internal_senders,console_1) -> Starting thread (every 300 seconds)
2024-01-16T12:47:04.193    INFO OutputProcess::MainThread -> ConsoleSenderManager(internal_senders,manager,console_1) -> Starting thread
2024-01-16T12:47:04.193    INFO OutputProcess::OutputLookupConsumer(lookup_senders_consumer_0) -> [EMERGENCY PERSISTENCE SYSTEM] OutputLookupConsumer(lookup_senders_consumer_0) -> Nothing retrieved from the persistence.
2024-01-16T12:47:05.795    INFO InputProcess::AWSsqsPuller(sqs_collector,12345,aws_sqs_vpc,predefined) -> Starting data collection every 5 seconds

Puller output

A successful initial run has the following output messages for the puller module:

I2024-01-16T17:02:56.221036303Z 2024-01-16T17:02:56.220    INFO InputProcess::AWSsqsPuller(sqs_collector,12345,aws_sqs_cloudwatch_vpc,predefined) -> Acked message receiptHandle: /+qA+ymL2Vs8yb//++7YM2Ef8BCetrJ+/+////F1uwLOVfONfagI99vA=
2024-01-16T17:02:56.221386926Z 2024-01-16T17:02:56.221    INFO InputProcess::AWSsqsPuller(sqs_collector,12345,aws_sqs_cloudwatch_vpc,predefined) -> Data collection completed. Elapsed time: 2.413 seconds. Waiting for 2.587 second(s) until the next one

Restart the persistence

This collector uses persistent storage to download events in an orderly fashion and avoid duplicates. In case you want to re-ingest historical data or recreate the persistence, you can restart the persistence of this collector by following these steps:

1. Delete and Re-DO the collector with new ID number

The collector will detect this change and will restart the persistence using the parameters of the configuration file or the default configuration in case it has not been provided.

Collector operations

This section is intended to explain how to proceed with specific operations of this collector.

Verify collector operations

The initialization module is in charge of setup and running the input (pulling logic) and output (delivering logic) services and validating the given configuration.

Events delivery and Devo ingestion

The event delivery module is in charge of receiving the events from the internal queues where all events are injected by the pullers and delivering them using the selected compatible delivery method.

A successful run has the following output messages for the initializer module:

INFO OutputProcess::SyslogSenderManagerMonitor(standard_senders,sidecar_0) -> Number of available senders: 1, sender manager internal queue size: 0
INFO OutputProcess::SyslogSenderManagerMonitor(standard_senders,sidecar_0) -> enqueued_elapsed_times_in_seconds_stats: {}
INFO OutputProcess::SyslogSenderManagerMonitor(standard_senders,sidecar_0) -> Sender: SyslogSender(standard_senders,syslog_sender_0), status: {"internal_queue_size": 0, "is_connection_open": True}
INFO OutputProcess::SyslogSenderManagerMonitor(standard_senders,sidecar_0) -> Standard - Total number of messages sent: 44, messages sent since "2022-06-28 10:39:22.511671+00:00": 44 (elapsed 0.007 seconds)
INFO OutputProcess::SyslogSenderManagerMonitor(internal_senders,sidecar_0) -> Number of available senders: 1, sender manager internal queue size: 0
INFO OutputProcess::SyslogSenderManagerMonitor(internal_senders,sidecar_0) -> enqueued_elapsed_times_in_seconds_stats: {}
INFO OutputProcess::SyslogSenderManagerMonitor(internal_senders,sidecar_0) -> Sender: SyslogSender(internal_senders,syslog_sender_0), status: {"internal_queue_size": 0, "is_connection_open": True}
INFO OutputProcess::SyslogSenderManagerMonitor(internal_senders,sidecar_0) -> Internal - Total number of messages sent: 1, messages sent since "2022-06-28 10:39:22.516313+00:00": 1 (elapsed 0.019 seconds)

Sender services

The Integrations Factory Collector SDK has 3 different senders services depending on the event type to delivery (internal, standard, and lookup). This collector uses the following Sender Services:

Sender statistics

Each service displays its own performance statistics that allow checking how many events have been delivered to Devo by type:

Check memory usage

To check the memory usage of this collector, look for the following log records in the collector which are displayed every 5 minutes by default, always after running the memory free process.

• The used memory is displayed by running processes and the sum of both values will give the total used memory for the collector.

• The global pressure of the available memory is displayed in the global value.

• All metrics (Global, RSS, VMS) include the value before freeing and after: previous -> after freeing memory

INFO InputProcess::MainThread -> [GC] global: 20.4% -> 20.4%, process: RSS(34.50MiB -> 34.08MiB), VMS(410.52MiB -> 410.02MiB)
INFO OutputProcess::MainThread -> [GC] global: 20.4% -> 20.4%, process: RSS(28.41MiB -> 28.41MiB), VMS(705.28MiB -> 705.28MiB)

Enable/disable the logging debug mode

Sometimes it is necessary to activate the debug mode of the collector's logging. This debug mode increases the verbosity of the log and allows you to print execution traces that are very helpful in resolving incidents or detecting bottlenecks in heavy download processes.

• To enable this option you just need to edit the configuration file and change the debug_status parameter from false to true and restart the collector.

• To disable this option, you just need to update the configuration file and change the debug_status parameter from true to false and restart the collector.

For more information, visit the configuration and parameterization section corresponding to the chosen deployment mode.

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