Serverless Plugin Vault V2

Serverless Plugin Vault V2

Features

• Working with serverless-plugin-dotenv
• Get the environments variables from your Hashicorp VAULT! (API V2)
• Integrates with Key Management Service (AWS)

Instalation

yarn add --dev serverless-plugin-vault-v2

or

npm install --save-dev serverless-plugin-vault-v2

Vault Configuration

The configuration to initialize:

custom:
    vault:
        token: "<TOKEN_OF_USER>"
        url: <SERVER_URL>"
        paths: ["PATH_STORE1", ...]
        ssl_check: boolean

KMS Configuration

To add the kms integration, just put the Kms object with your vault configuration:

custom:
    vault:
        ...
    kms:
        keyId: <"KMS_ID">

Use

To activate the Vault Service use the flag --vault after serverless command deploy and with serverless offline the command offline start. Examples:

serverless deploy --vault

and

serverless offline start --vault

Author: Eliasjcjunior
Source Code: https://github.com/eliasjcjunior/serverless-plugin-vault-v2 
License: MIT

#serverless #plugin #vault 

What is GEEK

Buddha Community

Serverless Plugin Vault V2

Serverless Plugin Vault V2

Features

• Working with serverless-plugin-dotenv
• Get the environments variables from your Hashicorp VAULT! (API V2)
• Integrates with Key Management Service (AWS)

Instalation

yarn add --dev serverless-plugin-vault-v2

or

npm install --save-dev serverless-plugin-vault-v2

Vault Configuration

The configuration to initialize:

custom:
    vault:
        token: "<TOKEN_OF_USER>"
        url: <SERVER_URL>"
        paths: ["PATH_STORE1", ...]
        ssl_check: boolean

KMS Configuration

To add the kms integration, just put the Kms object with your vault configuration:

custom:
    vault:
        ...
    kms:
        keyId: <"KMS_ID">

Use

To activate the Vault Service use the flag --vault after serverless command deploy and with serverless offline the command offline start. Examples:

serverless deploy --vault

and

serverless offline start --vault

Author: Eliasjcjunior
Source Code: https://github.com/eliasjcjunior/serverless-plugin-vault-v2 
License: MIT

#serverless #plugin #vault 

Serverless Plugin for Microservice Code Management and Deployment

Serverless M

Serverless M (or Serverless Modular) is a plugin for the serverless framework. This plugins helps you in managing multiple serverless projects with a single serverless.yml file. This plugin gives you a super charged CLI options that you can use to create new features, build them in a single file and deploy them all in parallel

Currently this plugin is tested for the below stack only

• AWS
• NodeJS λ
• Rest API (You can use other events as well)

Prerequisites

Make sure you have the serverless CLI installed

# Install serverless globally
$ npm install serverless -g

Getting Started

To start the serverless modular project locally you can either start with es5 or es6 templates or add it as a plugin

ES6 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es6 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular serverless-webpack webpack --save-dev

ES5 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es5 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular --save-dev

If you dont want to use the templates above you can just add in your existing project

Adding it as plugin

plugins:
  - serverless-modular

Now you are all done to start building your serverless modular functions

API Reference

The serverless CLI can be accessed by

# Serverless Modular CLI
$ serverless modular

# shorthand
$ sls m

Serverless Modular CLI is based on 4 main commands

• sls m init
• sls m feature
• sls m function
• sls m build
• sls m deploy

init command

sls m init

The serverless init command helps in creating a basic .gitignore that is useful for serverless modular.

The basic .gitignore for serverless modular looks like this

#node_modules
node_modules

#sm main functions
sm.functions.yml

#serverless file generated by build
src/**/serverless.yml

#main serverless directories generated for sls deploy
.serverless

#feature serverless directories generated sls deploy
src/**/.serverless

#serverless logs file generated for main sls deploy
.sm.log

#serverless logs file generated for feature sls deploy
src/**/.sm.log

#Webpack config copied in each feature
src/**/webpack.config.js

---

feature command

The feature command helps in building new features for your project

options (feature Command)

This command comes with three options

--name: Specify the name you want for your feature

--remove: set value to true if you want to remove the feature

--basePath: Specify the basepath you want for your feature, this base path should be unique for all features. helps in running offline with offline plugin and for API Gateway

options	shortcut	required	values	default value
--name	-n	✅	string	N/A
--remove	-r	❎	true, false	false
--basePath	-p	❎	string	same as name

Examples (feature Command)

Creating a basic feature

# Creating a jedi feature
$ sls m feature -n jedi

Creating a feature with different base path

# A feature with different base path
$ sls m feature -n jedi -p tatooine

Deleting a feature

# Anakin is going to delete the jedi feature
$ sls m feature -n jedi -r true

---

function command

The function command helps in adding new function to a feature

options (function Command)

This command comes with four options

--name: Specify the name you want for your function

--feature: Specify the name of the existing feature

--path: Specify the path for HTTP endpoint helps in running offline with offline plugin and for API Gateway

--method: Specify the path for HTTP method helps in running offline with offline plugin and for API Gateway

options	shortcut	required	values	default value
--name	-n	✅	string	N/A
--feature	-f	✅	string	N/A
--path	-p	❎	string	same as name
--method	-m	❎	string	'GET'

Examples (function Command)

Creating a basic function

# Creating a cloak function for jedi feature
$ sls m function -n cloak -f jedi

Creating a basic function with different path and method

# Creating a cloak function for jedi feature with custom path and HTTP method
$ sls m function -n cloak -f jedi -p powers -m POST

---

build command

The build command helps in building the project for local or global scope

options (build Command)

This command comes with four options

--scope: Specify the scope of the build, use this with "--feature" tag

--feature: Specify the name of the existing feature you want to build

options	shortcut	required	values	default value
--scope	-s	❎	string	local
--feature	-f	❎	string	N/A

Saving build Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    build:
      scope: local

Examples (build Command)

all feature build (local scope)

# Building all local features
$ sls m build

Single feature build (local scope)

# Building a single feature
$ sls m build -f jedi -s local

All features build global scope

# Building all features with global scope
$ sls m build -s global

deploy command

The deploy command helps in deploying serverless projects to AWS (it uses sls deploy command)

options (deploy Command)

This command comes with four options

--sm-parallel: Specify if you want to deploy parallel (will only run in parallel when doing multiple deployments)

--sm-scope: Specify if you want to deploy local features or global

--sm-features: Specify the local features you want to deploy (comma separated if multiple)

options	shortcut	required	values	default value
--sm-parallel	❎	❎	true, false	true
--sm-scope	❎	❎	local, global	local
--sm-features	❎	❎	string	N/A
--sm-ignore-build	❎	❎	string	false

Saving deploy Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    deploy:
      scope: local
      parallel: true
      ignoreBuild: true

Examples (deploy Command)

Deploy all features locally

# deploy all local features
$ sls m deploy

Deploy all features globally

# deploy all global features
$ sls m deploy --sm-scope global

Deploy single feature

# deploy all global features
$ sls m deploy --sm-features jedi

Deploy Multiple features

# deploy all global features
$ sls m deploy --sm-features jedi,sith,dark_side

Deploy Multiple features in sequence

# deploy all global features
$ sls m deploy  --sm-features jedi,sith,dark_side --sm-parallel false

---

Author: aa2kb
Source Code: https://github.com/aa2kb/serverless-modular 
License: MIT license

#serverless #aws #node #lambda 

Serverless Vault Plugin

serverless-vault-plugin

Why?

Vault is an amazing tool to use to store secrets.

Since I started using lambda + serverless, I have been looking for something that could allow me deploy in a safe way (avoiding writing environment files or commiting my passwords on github to be able using a continuous deployment, so I decided to write my own plugin to solve this problem.

Why not SSM?

I have been using vault as my store secret and it's been working well since then I have managed to keep using it to any apps based on app authentication or keys trought my vault api. When we decided move to lambda we didn't want to move anything else to aws (I know we are lock-in), but then we decided to keep vault as our secret manager.

Why KMS then?

Although we are using Vault, once we retrieve the secrets from it, they go plain text (not desirable). So, I just store my secrets in KMS after we retrieve them from Vault and then my Lambda function will be able to decrypt them.

Topology

How to use it?

Add those configs in your serverless.yml

Using token method auth

custom:
  config: ${file(env/${opt:stage}.yml)}

  vault:
    token: "<app token>"
    url: "https://vault:8200"
    secret: "secret/path"
    ssl_check: false
    version: "v1"
  kms:
    keyId: ${env:KEY_KMS_ID}

Using Userpass auth

custom:
  config: ${file(env/${opt:stage}.yml)}

  vault:
    method: "Userpass"
    user: "my vault user"
    password: "my user password"
    url: "https://vault:8200"
    secret: "secret/path"
    ssl_check: false
    version: "v1"
  kms:
    keyId: ${env:KEY_KMS_ID}

Using single path secrets with multiples passwords

custom:
  config: ${file(env/${opt:stage}.yml)}

  vault:
    method: "Userpass"
    user: "my vault user"
    password: "my user password"
    url: "https://vault:8200"
    secret: "secret/path"
    ssl_check: false
    version: "v1"
  kms:
    keyId: ${env:KEY_KMS_ID}

Then add your env var as a list

environment:
  - VAR_FOO
  - VAR_BAR

It needs a structure at vault like, vault write secret/path VAR_FOO=foo VAR_BAR=bar

Using multiple paths secrets with multiples or single password

custom:
  config: ${file(env/${opt:stage}.yml)}

  vault:
    method: "Userpass"
    user: "my vault user"
    password: "my user password"
    url: "https://vault:8200"
    secret: "secret"
    ssl_check: false
    version: "v1"
  kms:
    keyId: ${env:KEY_KMS_ID}

Then add your env var as a list

environment:
  - path_foo
  - path_bar

It needs a structure at vault like, vault write secret/path_foo ANY_FOO=foo && vault write secret/path_bar ANY_BAR=bar

It will fetch all passwords under those paths.

Once you run sls deploy -s <stage>, it will fetch the vault and will try to find VAR_FOOR, VAR_BAR (using your secret path). It will then encrypt it on KMS and set the environment variables to your deployment runtime.

Author: Rondineli
Source Code: https://github.com/Rondineli/serverless-vault-plugin 
License: MIT license

#serverless #vault #plugin #lambda 

Serverless Plugin Datadog

Datadog recommends the Serverless Framework Plugin for developers using the Serverless Framework to deploy their serverless applications. The plugin automatically enables instrumentation for applications to collect metrics, traces, and logs by:

• Installing the Datadog Lambda library to your Lambda functions as a Lambda layer.
• Installing the Datadog Lambda Extension to your Lambda functions as a Lambda layer (addExtension) or subscribing the Datadog Forwarder to your Lambda functions' log groups (forwarderArn).
• Making the required configuration changes, such as adding environment variables or additional tracing layers, to your Lambda functions.

Getting started

To quickly get started, follow the installation instructions for Python, Node.js, Ruby, Java, Go, or .NET and view your function's enhanced metrics, traces, and logs in Datadog.

After installation is complete, configure the advanced options to suit your monitoring needs.

Upgrade

Each version of the plugin is published with a specific set of versions of the Datadog Lambda layers. To pick up new features and bug fixes provided by the latest versions of Datadog Lambda layers, upgrade the serverless framework plugin. Test the new version before applying it on your production applications.

Configuration parameters

To further configure your plugin, use the following custom parameters in your serverless.yml:

Parameter	Description
site	Set which Datadog site to send data to, such as datadoghq.com (default), datadoghq.eu, us3.datadoghq.com, us5.datadoghq.com, or ddog-gov.com. This parameter is required when collecting telemtry using the Datadog Lambda Extension.
apiKey	[Datadog API key][7]. This parameter is required when collecting telemetry using the Datadog Lambda Extension. Alternatively, you can also set the DATADOG_API_KEY environment variable in your deployment environment.
appKey	Datadog app key. Only needed when the monitors field is defined. Alternatively, you can also set the DATADOG_APP_KEY environment variable in your deployment environment.
apiKeySecretArn	An alternative to using the apiKey field. The ARN of the secret that is storing the Datadog API key in AWS Secrets Manager. Remember to add the secretsmanager:GetSecretValue permission to the Lambda execution role.
apiKMSKey	An alternative to using the apiKey field. Datadog API key encrypted using KMS. Remember to add the kms:Decrypt permission to the Lambda execution role.
env	When set along with addExtension, a DD_ENV environment variable is added to all Lambda functions with the provided value. Otherwise, an env tag is added to all Lambda functions with the provided value. Defaults to the stage value of the serverless deployment.
service	When set along with addExtension, a DD_SERVICE environment variable is added to all Lambda functions with the provided value. Otherwise, a service tag is added to all Lambda functions with the provided value. Defaults to the service value of the serverless project.
version	When set along with addExtension, a DD_VERSION environment variable is added to all Lambda functions with the provided value. When set along with forwarderArn, a version tag is added to all Lambda functions with the provided value.
tags	A comma separated list of key:value pairs as a single string. When set along with extensionLayerVersion, a DD_TAGS environment variable is added to all Lambda functions with the provided value. When set along with forwarderArn, the plugin parses the string and sets each key:value pair as a tag on all Lambda functions.
enableXrayTracing	Set true to enable X-Ray tracing on the Lambda functions and API Gateway integrations. Defaults to false.
enableDDTracing	Enable Datadog tracing on the Lambda function. Defaults to true.
enableDDLogs	Enable Datadog log collection using the Lambda Extension. Defaults to true. Note: This setting has no effect on logs sent by the Datadog Forwarder.
monitors	When defined, the Datadog plugin configures monitors for the deployed function. Requires setting DATADOG_API_KEY and DATADOG_APP_KEY in your environment. To learn how to define monitors, see To Enable and Configure a Recommended Serverless Monitor.
captureLambdaPayload	[Captures incoming and outgoing AWS Lambda payloads][17] in the Datadog APM spans for Lambda invocations. Defaults to false.
enableSourceCodeIntegration	Enable [Datadog source code integration][18] for the function. Defaults to true.
subscribeToApiGatewayLogs	Enable automatic subscription of the Datadog Forwarder to API Gateway log groups. Requires setting forwarderArn. Defaults to true.
subscribeToHttpApiLogs	Enable automatic subscription of the Datadog Forwarder to HTTP API log groups. Requires setting forwarderArn. Defaults to true.
subscribeToWebsocketLogs	Enable automatic subscription of the Datadog Forwarder to WebSocket log groups. Requires setting forwarderArn. Defaults to true.
forwarderArn	The ARN of the Datadog Forwarder to be subscribed to the Lambda or API Gateway log groups.
addLayers	Whether to install the Datadog Lambda library as a layer. Defaults to true. Set to false when you plan to package the Datadog Lambda library to your function's deployment package on your own so that you can install a specific version of the Datadog Lambda library ([Python][8] or [Node.js][9]).
addExtension	Whether to install the Datadog Lambda Extension as a layer. Defaults to true. When enabled, it's required to set the apiKey and site.
exclude	When set, this plugin ignores all specified functions. Use this parameter if you have any functions that should not include Datadog functionality. Defaults to [].
enabled	When set to false, the Datadog plugin stays inactive. Defaults to true. You can control this option using an environment variable. For example, use enabled: ${strToBool(${env:DD_PLUGIN_ENABLED, true})} to activate/deactivate the plugin during deployment. Alternatively, you can also use the value passed in through --stage to control this option—see example.
customHandler	When set, the specified handler is set as the handler for all the functions.
failOnError	When set, this plugin throws an error if any custom Datadog monitors fail to create or update. This occurs after deploy, but will cause the result of serverless deploy to return a nonzero exit code (to fail user CI). Defaults to false.
integrationTesting	Set true when running integration tests. This bypasses the validation of the Forwarder ARN and the addition of Datadog Monitor output links. Defaults to false.
logLevel	The log level, set to DEBUG for extended logging.

To use any of these parameters, add a custom > datadog section to your serverless.yml similar to this example:

custom:
  datadog:
    apiKeySecretArn: "{Datadog_API_Key_Secret_ARN}"
    enableXrayTracing: false
    enableDDTracing: true
    enableDDLogs: true
    subscribeToAccessLogs: true
    forwarderArn: arn:aws:lambda:us-east-1:000000000000:function:datadog-forwarder
    exclude:
      - dd-excluded-function

Webpack

If you are using a bundler, such as webpack, see Serverless Tracing and Webpack.

TypeScript

You may encounter the error of missing type definitions. To resolve the error, add datadog-lambda-js and dd-trace to the devDependencies list of your project's package.json.

If you are using serverless-typescript, make sure that serverless-datadog is above the serverless-typescript entry in your serverless.yml. The plugin will automatically detect .ts files.

plugins:
  - serverless-plugin-datadog
  - serverless-typescript

Disable Plugin for Particular Environment

If you'd like to turn off the plugin based on the environment (passed via --stage), you can use something similar to the example below.

provider:
  stage: ${self:opt.stage, 'dev'}

custom:
  staged: ${self:custom.stageVars.${self:provider.stage}, {}}

  stageVars:
    dev:
      dd_enabled: false

  datadog:
    enabled: ${self:custom.staged.dd_enabled, true}

Serverless Monitors

There are seven recommended monitors with default values pre-configured.

Monitor	Metrics	Threshold	Serverless Monitor ID
High Error Rate	aws.lambda.errors/aws.lambda.invocations	>= 10%	high_error_rate
Timeout	aws.lambda.duration.max/aws.lambda.timeout	>= 1	timeout
Out of Memory	aws.lambda.enhanced.out_of_memory	> 0	out_of_memory
High Iterator Age	aws.lambda.iterator_age.maximum	>= 24 hrs	high_iterator_age
High Cold Start Rate	aws.lambda.enhanced.invocations(cold_start:true)/ aws.lambda.enhanced.invocations	>= 20%	high_cold_start_rate
High Throttles	aws.lambda.throttles/aws.lambda.invocations	>= 20%	high_throttles
Increased Cost	aws.lambda.enhanced.estimated_cost	↑20%	increased_cost

To Enable and Configure a Recommended Serverless Monitor

To create a recommended monitor, you must use its respective serverless monitor ID. Note that you must also set the DATADOG_API_KEY and DATADOG_APP_KEY in your environment.

If you’d like to further configure the parameters for a recommended monitor, you can directly define the parameter values below the serverless monitor ID. Parameters not specified under a recommended monitor will use the default recommended value. The query parameter for recommended monitors cannot be directly modified and will default to using the query valued as defined above; however, you may change the threshold value in query by re-defining it within the options parameter. To delete a monitor, remove the monitor from the serverless.yml template. For further documentation on how to define monitor parameters, see the Datadog Monitors API.

Monitor creation occurs after the function is deployed. In the event that a monitor is unsuccessfully created, the function will still be successfully deployed.

To create a recommended monitor with the default values

Define the appropriate serverless monitor ID without specifying any parameter values

custom:
  datadog:
    addLayers: true
    monitors:
      - high_error_rate:

To configure a recommended monitor

custom:
  datadog:
    addLayers: true
    monitors:
      - high_error_rate:
          name: "High Error Rate with Modified Warning Threshold"
          message: "More than 10% of the function’s invocations were errors in the selected time range. Notify @data.dog@datadoghq.com @slack-serverless-monitors"
          tags: ["modified_error_rate", "serverless", "error_rate"]
          require_full_window: true
          priority: 2
          options:
            include_tags: true
            notify_audit: true
            thresholds:
              ok: 0.025
              warning: 0.05

To delete a monitor

Removing the serverless monitor ID and its parameters will delete the monitor.

To Enable and Configure a Custom Monitor

To define a custom monitor, you must define a unique serverless monitor ID string in addition to passing in the API key and Application key, DATADOG_API_KEY and DATADOG_APP_KEY, in your environment. The query parameter is required but every other parameter is optional. Define a unique serverless monitor ID string and specify the necessary parameters below. For further documentation on monitor parameters, see the Datadog Monitors API.

custom:
  datadog:
    addLayers: true
    monitors:
      - custom_monitor_id:
          name: "Custom Monitor"
          query: "max(next_1w):forecast(avg:system.load.1{*}, 'linear', 1, interval='60m', history='1w', model='default') >= 3"
          message: "Custom message for custom monitor. Notify @data.dog@datadoghq.com @slack-serverless-monitors"
          tags: ["custom_monitor", "serverless"]
          priority: 3
          options:
            enable_logs_sample: true
            require_full_window: true
            include_tags: false
            notify_audit: true
            notify_no_data: false
            thresholds:
              ok: 1
              warning: 2

Breaking Changes

v5.0.0

• When used in conjunction with the Datadog Extension, this plugin sets service and env tags through environment variables instead of Lambda resource tags.
• The enableTags parameter was replaced by the new service, env parameters.

v4.0.0

• The Datadog Lambda Extension is now the default mechanism for transmitting telemetry to Datadog.

Opening Issues

If you encounter a bug with this package, let us know by filing an issue! Before opening a new issue, please search the existing issues to avoid duplicates.

When opening an issue, include your Serverless Framework version, Python/Node.js version, and stack trace if available. Also, please include the steps to reproduce when appropriate.

You can also open an issue for a feature request.

Contributing

If you find an issue with this package and have a fix, open a pull request following the procedures.

Community

For product feedback and questions, join the #serverless channel in the Datadog community on Slack.

Author: DataDog
Source Code: https://github.com/DataDog/serverless-plugin-datadog 
License: View license

#serverless #datadog #plugin 

How To Customize WordPress Plugins? (4 Easy Ways To Do)

WordPress needs no introduction. It has been in the world for quite a long time. And up till now, it has given a tough fight to leading web development technology. The main reason behind its remarkable success is, it is highly customizable and also SEO-friendly. Other benefits include open-source technology, security, user-friendliness, and the thousands of free plugins it offers.

Talking of WordPress plugins, are a piece of software that enables you to add more features to the website. They are easy to integrate into your website and don’t hamper the performance of the site. WordPress, as a leading technology, has to offer many out-of-the-box plugins.

However, not always the WordPress would be able to meet your all needs. Hence you have to customize the WordPress plugin to provide you the functionality you wished. WordPress Plugins are easy to install and customize. You don’t have to build the solution from scratch and that’s one of the reasons why small and medium-sized businesses love it. It doesn’t need a hefty investment or the hiring of an in-house development team. You can use the core functionality of the plugin and expand it as your like.

In this blog, we would be talking in-depth about plugins and how to customize WordPress plugins to improve the functionality of your web applications.

What Is The Working Of The WordPress Plugins?

Developing your own plugin requires you to have some knowledge of the way they work. It ensures the better functioning of the customized plugins and avoids any mistakes that can hamper the experience on your site.

1. Hooks

Plugins operate primarily using hooks. As a hook attaches you to something, the same way a feature or functionality is hooked to your website. The piece of code interacts with the other components present on the website. There are two types of hooks: a. Action and b. Filter.

A. Action

If you want something to happen at a particular time, you need to use a WordPress “action” hook. With actions, you can add, change and improve the functionality of your plugin. It allows you to attach a new action that can be triggered by your users on the website.

There are several predefined actions available on WordPress, custom WordPress plugin development also allows you to develop your own action. This way you can make your plugin function as your want. It also allows you to set values for which the hook function. The add_ action function will then connect that function to a specific action.

B. Filters

They are the type of hooks that are accepted to a single variable or a series of variables. It sends them back after they have modified it. It allows you to change the content displayed to the user.

You can add the filter on your website with the apply_filter function, then you can define the filter under the function. To add a filter hook on the website, you have to add the $tag (the filter name) and $value (the filtered value or variable), this allows the hook to work. Also, you can add extra function values under $var.

Once you have made your filter, you can execute it with the add_filter function. This will activate your filter and would work when a specific function is triggered. You can also manipulate the variable and return it.

2. Shortcodes

Shortcodes are a good way to create and display the custom functionality of your website to visitors. They are client-side bits of code. They can be placed in the posts and pages like in the menu and widgets, etc.

There are many plugins that use shortcodes. By creating your very own shortcode, you too can customize the WordPress plugin. You can create your own shortcode with the add_shortcode function. The name of the shortcode that you use would be the first variable and the second variable would be the output of it when it is triggered. The output can be – attributes, content, and name.

3. Widgets

Other than the hooks and shortcodes, you can use the widgets to add functionality to the site. WordPress Widgets are a good way to create a widget by extending the WP_Widget class. They render a user-friendly experience, as they have an object-oriented design approach and the functions and values are stored in a single entity.

How To Customize WordPress Plugins?

There are various methods to customize the WordPress plugins. Depending on your need, and the degree of customization you wish to make in the plugin, choose the right option for you. Also, don’t forget to keep in mind that it requires a little bit of technical knowledge too. So find an expert WordPress plugin development company in case you lack the knowledge to do it by yourself.

1. Hire A Plugin Developer3

One of the best ways to customize a WordPress plugin is by hiring a plugin developer. There are many plugin developers listed in the WordPress directory. You can contact them and collaborate with world-class WordPress developers. It is quite easy to find a WordPress plugin developer.

Since it is not much work and doesn’t pay well or for the long term a lot of developers would be unwilling to collaborate but, you will eventually find people.

2. Creating A Supporting Plugin

If you are looking for added functionality in an already existing plugin go for this option. It is a cheap way to meet your needs and creating a supporting plugin takes very little time as it has very limited needs. Furthermore, you can extend a plugin to a current feature set without altering its base code.

However, to do so, you have to hire a WordPress developer as it also requires some technical knowledge.

3. Use Custom Hooks

Use the WordPress hooks to integrate some other feature into an existing plugin. You can add an action or a filter as per your need and improve the functionality of the website.

If the plugin you want to customize has the hook, you don’t have to do much to customize it. You can write your own plugin that works with these hooks. This way you don’t have to build a WordPress plugin right from scratch. If the hook is not present in the plugin code, you can contact a WordPress developer or write the code yourself. It may take some time, but it works.

Once the hook is added, you just have to manually patch each one upon the release of the new plugin update.

4. Override Callbacks

The last way to customize WordPress plugins is by override callbacks. You can alter the core functionality of the WordPress plugin with this method. You can completely change the way it functions with your website. It is a way to completely transform the plugin. By adding your own custom callbacks, you can create the exact functionality you desire.

We suggest you go for a web developer proficient in WordPress as this requires a good amount of technical knowledge and the working of a plugin.

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