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Table of Contents
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typeflat

Overview

Lark is an all-in-one productivity solution that includes chat, scheduling, docs, video conferencing, auto-translation and more in a single platform.

Devo collector features

Feature

Details

Allow parallel downloading (multipod)

not allowed

Running environments

  • collector server

  • on-premise

Populated Devo events

table

Flattening preprocessing

no

Data sources

Data source

Description

API endpoint

Collector service name

Devo table

Available from release

audit_infos

Returns all the audit logs.

admin/v1/audit_infos

audit_infos

app.lark.audit.event

v1.0.0

For more information on how the events are parsed, visit our page.

Flattening preprocessing

Data source

Collector service

Optional

Flattening details

audit_infos

audit_infos

yes

not required

Minimum configuration required for basic pulling

...

Info

This minimum configuration refers exclusively to those specific parameters of this integration. There are more required parameters related to the generic behavior of the collector. Check setting sections for details.

Setting

Details

app_id

The app ID to generate the auth token for authentication.

app_secret

The app secret key to.generate the auth token for authentication.

...

API limits, delays, known Issues

The

...

API only allows 2 valid auth tokens at a time, so you should avoid using the credentials used for the collector should not be used somewhere else while its running.

Accepted authentication methods

Authentication method

app_id

app_secret

Bearer auth token

Status
colourGreen
titleREQUIRED

Status
colourGreen
titleREQUIRED

Run the collector

Once the data source is configured, you can either send us the required information if you want us to host and manage the collector for you (Cloud collector), or deploy and host the collector in your own machine using a Docker image (On-premise collector).

Rw ui tabs macro
Rw tab
titleOn-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-20240702-093110.png
Note

Replace <product_name> with the proper value.

Editing the config.yaml file

Code Block
globals:
 debug: false
 id: not_used
 name: lark_collector
 persistence:
   type: filesystem
   config:
     directory_name: state
outputs:
  devo_1:
    type: devo_platform
    config:
      address: <your-ingestion-endpoint>
      port: 443
      type: SSL
      chain: chain.crt
      cert: <your_domain>.crt
      key: <your_domain>.key
inputs:
 lark:
   id: <short_unique_id>
   enabled: <input_status>
   credentials:
     app_id: <app_id_value>
     app_secret: <app_secret_value>
   services:
     audit_infos:
       initial_start_time_in_utc: <start_time_in_utc_value>
       override_tag: <override_tag_value>
       event_name : <event_name_value>
       operator_value: <operator_value>
       event_module: <event_module_value>
       operator_type: <operator_type_value>
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 / Format

Details

<short_unique_id>

int

Mandatory

Minimum Length 5

Use this param to give a unique id to this input service.

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.

<app_id_value>

str

Mandatory

Minimum Length 1

App id for Lark developer

<app_secret_value>

str

Mandatory

Minimum Length 1

App secret key for Lark developer

<override_devo_value>

str

Optional

A devo tag

This parameter allows defining a custom devo tag.

<event_name_value>

str

Optional

Minimum Length 1

Behavioral audit event name, such ascreate_doc. For names of optional events, see List of enumerated values

<operator_value>

str

Optional

Minimum Length 1

Operator value

<event_module_value>

int

Optional

Minimum Length 1

Behavioral audit event module. For the event modules of behavioral audit, see List of enumerated values

<operator_type_value>

str

Optional

Minimum Length 1

Operator type value

<start_time_in_utc_value>

str

Mandatory

UTC format/ Not more than 180 days old from current date

Start date to pull data from

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-lark_suite_if-docker-image-1.02.0

77c7388de90e350bc50ff5c3f5f8a8342d02b985b6e1f5ad8aa30a0fdf642ce7e408cb005ec4be2cde19b741439fc821c5da7a052ce715e2bec5a6492879afb7

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.

Rw tab
titleCloud collector

We use a piece of software called Collector Server to host and manage all our available collectors. If you want us to host this collector for you, get in touch with us and we will guide you through the configuration.

...

Expand
titleCheck 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

Code Block
2023-11-10T09:57:53.856    INFO InputProcess::MainThread -> [GC] global: 39.1% -> 39.1%, process: RSS(68.84MiB -> 68.84MiB), VMS(503.30MiB -> 503.30MiB)
2023-11-10T09:58:53.862    INFO OutputProcess::MainThread -> [GC] global: 39.1% -> 39.1%, process: RSS(49.12MiB -> 49.12MiB), VMS(928.57MiB -> 928.57MiB)
Info

Differences between RSS and VMS memory usage:

  • RSS is the Resident Set Size, which is the actual physical memory the process is using

  • VMS is the Virtual Memory Size which is the virtual memory that process is using

Change log

Release

Released on

Release type

Details

Recommendations

v1.1.0

Status
colourGreen
titleIMPROVEMENTS

Improvements

  • Updated the DCSDK from 1.11.1 to v1.12.2

  • Added new sender for relay in house + TLS

  • Added persistence functionality for gzip sending buffer

  • Added Automatic activation of gzip sending

  • Improved behaviour when persistence fails

  • Upgraded DevoSDK dependency

  • Fixed console log encoding

  • Restructured python classes

  • Improved behavior with non-utf8 characters

  • Decreased defaut size value for internal queues (Redis limitation, from 1GiB to 256MiB)

  • New persistence format/structure (compression in some cases)

  • Removed dmesg execution (It was invalid for docker execution)

  • DevoSDK has been updated to version 5.4.0

Bug fixing

  • Fixed the access token invalid bug.

Update

v1.0.0

Status
colourPurple
titleINITIAL VERSION



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