integrations-core | Core integrations of the Datadog Agent | Monitoring library

by DataDog Python Version: 7.26.0-rc.6 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | integrations-core Summary

integrations-core is a Python library typically used in Performance Management, Monitoring applications. integrations-core has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However integrations-core build file is not available. You can install using 'pip install integrations-core' or download it from GitHub, PyPI.

This repository contains the Agent Integrations that Datadog officially develops and supports. To add a new integration, please see the Integrations Extras repository and the accompanying documentation. The Datadog Agent packages are equipped with all the Integrations from this repository, so to get started using them, you can simply install the Agent for your operating system. The AGENT_CHANGELOG file shows which Integrations have been updated in each Agent version.

Support

Quality

Security

License

Reuse

Support

integrations-core has a medium active ecosystem.

It has 776 star(s) with 1329 fork(s). There are 288 watchers for this library.

It had no major release in the last 12 months.

There are 51 open issues and 506 have been closed. On average issues are closed in 140 days. There are 125 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of integrations-core is 7.26.0-rc.6

Quality

integrations-core has 0 bugs and 0 code smells.

Security

integrations-core has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

integrations-core code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

integrations-core is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

integrations-core releases are available to install and integrate.

Deployable package is available in PyPI.

integrations-core has no build file. You will be need to create the build yourself to build the component from source.

It has 181926 lines of code, 8744 functions and 2266 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed integrations-core and discovered the below as its top functions. This is intended to give you an instant insight into integrations-core implemented functionality, and help decide if they suit your requirements.

Get metrics from INNODB status table .
Create a scraper configuration .
Validate a value .
Creates kubernetes metrics instance .
Return a JSON Schema .
Validate options .
Check if we are running on Linux .
Create a histogram for a check .
Query the buffer pool .
Validate coverage flags .

Get all kandi verified functions for this library.

integrations-core Key Features

No Key Features are available at this moment for integrations-core.

integrations-core Examples and Code Snippets

No Code Snippets are available at this moment for integrations-core.

Community Discussions

Trending Discussions on integrations-core

DataDog Directory file matching pattern fails to match any files

DataDog directory - listen multiple directories at one host

How do I configure this PostgreSQL check for DataDog?

QUESTION

DataDog Directory file matching pattern fails to match any files

Asked 2021-Jul-06 at 14:20

The directory contains more than 20 files. As explained in the DataDog directory documentation, a maximum of 20 files can be tracked.

So I tried to configure the data dog directory configuration

...

ANSWER

Answered 2021-Jul-06 at 14:15

Read the doc you linked. The pattern is a fnmatch pattern, not Regex.

https://docs.python.org/3/library/fnmatch.html

UPDATE:

The exact working solution would be

Source https://stackoverflow.com/questions/68270987

QUESTION

DataDog directory - listen multiple directories at one host

Asked 2021-Jun-22 at 14:55

I need to know is there a possibility to listen to two directories at the same time on one host.

Directory (datadog.com)

I used an example document system.disk.directory - Configuration example for initial setup. One directory is fine, but I need to listen to two directories.

...

ANSWER

Answered 2021-Jun-22 at 14:55

Yes that will work fine with the syntax you're using. You can add as many instances to that array as you want

Source https://stackoverflow.com/questions/68084887

QUESTION

How do I configure this PostgreSQL check for DataDog?

Asked 2020-Oct-17 at 22:24

I try to setup a postgres check using DD Agent and i'm getting an error thrown by postgres.py script. As you can see in the screenshot, i'm using this simple query to get the number of active connections to a db. I've put it inside the /etc/datadog-agent/conf.d/postgres.d/conf.yaml like this :

...

ANSWER

Answered 2020-Oct-17 at 22:24

In these kinds of checks, the response order matters, since the columns returned from the DB are going to be mapped back to the names specified in the YAML.

Reading the error message:

Error: postgres:953578488181a512 | (postgres.py:398) | non-numeric value cldtx for metric column active_connections of metric_prefix postgresql

We can see that the value of cldtx is being returned for the active_connections column, which in the YAML is declared as a gauge, and this is a string.

The fix should be straightforward, by reordering the YAML, like so:

Source https://stackoverflow.com/questions/64108531

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install integrations-core

You can install using 'pip install integrations-core' or download it from GitHub, PyPI.
You can use integrations-core like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Working with integrations is easy, the main page of the development docs contains all the info you need to get your dev environment up and running in minutes to run, test and build a Check. More advanced documentation can be found here.

Find more information at: