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Shopify error 429 too many requests - Fix it Now ?

This article covers Shopify error 429 too many requests. Basically, 429 too many requests can trigger due to increased number of API requests.
Calls to the REST Admin API are governed by request-based limits, which means you should consider the total number of API calls your app makes.

In addition, there are resource-based rate limits and throttles.

To avoid rate limit errors in Shopify:

Designing your app with best practices in mind is the best way to avoid throttling errors.
1. Optimize your code to only get the data that your app requires.
2. Use caching for data that your app uses often.
3. Regulate the rate of your requests for smoother distribution.
4. Include code that catches errors. If you ignore these errors and keep trying to make requests, then your app won’t be able to gracefully recover.
5. Use metadata about your app's API usage, included with all API responses, to manage your app’s behavior dynamically.
6. Your code should stop making additional API requests until enough time has passed to retry.

The recommended backoff time is 1 second.

Setup and Configure tmpmail - Step by Step Process

This article covers method to Setup and Configure tmpmail.

Basically, tmpmail is a handy utility for CLI warriors within the command line. 

By default, email addresses are created at random unless a specific email address follows the --generate flag.

Currently, w3m renders the emails in an HTML format within the terminal. If preferred, a user can use a GUI or text-based browser to view the email by passing the --browser flag followed by the command needed to launch the web browser of your choice.

TEMP-MAIL does not store your IP-address. This means you are reliably protected from all unauthorized actions that may endanger your information and compromise your privacy. All emails and data temporarily stored on our service are permanently deleted after the time expired.


How to install tmpmail ?

1. To install tmpmail, we can use the wget command or curl command to download the script from GitHub. 

Next, open a terminal and then copy or type in the following command:

# wget https://raw.githubusercontent.com/sdushantha/tmpmail/master/tmpmail

2. Now, run the chmod command against the script to modify the permissions, so the file is executable.

[root@host2 ~]# chmod -v +x tmpmail

3. Next, we will move the file to a location somewhere in our $PATH. Use the following command to accomplish this.

# mv tmpmail /bin/
# which tmpmail
/usr/bin/tmpmail


To Generate a New tmpmail Address:

To create a new temporary email address, run the following command.

# tmpmail --generate

Add user in VestaCP - How to do it

This article covers how to add a user in VestaCP. Vesta control panel (VestaCP) is an open source hosting control panel, which can be used to manage multiple websites, creat and manage email accounts, FTP accounts, and MySQL databases, manage DNS records and so on.


To Add / Edit User in VestaCP:

1. First, click the USER tab on top, then click the green coloured “+” to add a new user.

2. Fill in the details for the new user. Click “Add” when you’ve completed the info.

3. This message will pop up if all the info are filled in correctly.

Now, you will see 2 users to choose from. Access the newly created user by clicking on “Login as (username)”. 

Each user can manage their own web, DNS, mail and database, etc.

You can also perform edit, deletion or suspension of user accounts using the buttons shown in the red box.


To uninstall Vesta Control panel:

1. Stop vesta service. service vesta stop.

Remove vesta packages and software repository. RHEL/CentOS: yum remove vesta* rm -f /etc/yum.repos.d/vesta.repo. Debian/Ubuntu: apt-get remove vesta* rm -f /etc/apt/sources.list.d/vesta.list.

2. Delete data directory and cron.

Prometheus Distributed Monitoring System - A brief review

This article covers an overview of what Prometheus Distributed Monitoring System is and how it works.

Prometheus is an open-source systems monitoring and alerting toolkit with an active ecosystem.


Why is Prometheus used?

Prometheus is an open-source monitoring software that is very popular in the industry. Prometheus is easy to customize, and produces metrics without impacting application performance.

Along with this, Prometheus monitoring can be used to provide clarity into systems and how to run them.


What is Prometheus monitoring used for?

Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting.


What is AWS Prometheus?

Amazon Managed Service for Prometheus (AMP) is a Prometheus-compatible monitoring service that makes it easy to monitor containerized applications at scale.

AMP automatically scales as your workloads grow or shrink, and is integrated with AWS security services to enable fast and secure access to data.


What metrics does Prometheus collect?

At this moment, for Prometheus, all metrics are time-series data. The Prometheus client libraries are the ones in charge of aggregating metrics data, like count or sum. Usually, these client libraries—like the Go library from the graphic above—have four types of metrics: counter, gauge, history, and summary.


What is the difference between Grafana and Prometheus?

Grafana and Prometheus, both help us in tackling issues related to complex data in a simplified manner. 

Grafana is an open-source visualization software, which helps the users to understand the complex data with the help of data metrics.

Prometheus is an open-source event monitoring and alerting tool.


How does Prometheus monitoring work?

Prometheus scrapes metrics from instrumented jobs, either directly or via an intermediary push gateway for short-lived jobs. 

It stores all scraped samples locally and runs rules over this data to either aggregate and record new time series from existing data or generate alerts.

Best practices for Azure Cache for Redis

This article will guide you on some of the Best practices for Azure Cache for Redis. By following these best practices, you can help maximize the performance and cost-effective use of your Azure Cache for Redis instance.


1. Use Standard or Premium tier for production systems. The Basic tier is a single node system with no data replication and no SLA.

2. Remember that Redis is an in-memory data store. 

3. Develop your system such that it can handle connection blips because of patching and failover.

4. Configure your maxmemory-reserved setting to improve system responsiveness under memory pressure conditions.

5. Redis works best with smaller values, so consider chopping up bigger data into multiple keys.

6. Locate your cache instance and your application in the same region. Connecting to a cache in a different region can significantly increase latency and reduce reliability. 

7. Reuse connections. Creating new connections is expensive and increases latency, so reuse connections as much as possible. 

8. Configure your client library to use a connect timeout of at least 15 seconds, giving the system time to connect even under higher CPU conditions.

Default PHP settings in OpenLiteSpeed webserver

This article will guide you on the default settings for LSAPI. Basically, by default #OpenLiteSpeed support #PHP with external application and script handler. 

CyberPanel is a web hosting control panel powered by OpenLiteSpeed, which helps you set up sites on your DigitalOcean droplets easily and automatically back them up to DigitalOcean Spaces. Features. Different Level Of users.

To Configure #CyberPanel:

1. Enter admin for the username and 1234567 for the password.

2. Click on the user-menu arrow, next to the name "Cyber Pan".

3. Choose Edit Profile.

4. Select admin in the dropdown menu on the Modify User page.

5. You may now change the first name, last name, email address and password accordingly.

HTTP 400 Bad Request error

This article will guide you on different methods to resolve #HTTP 400 Bad Request error which indicates that the request you sent to the #website #server, often something simple like a request to load a web page, was somehow incorrect or corrupted and the server couldn't understand it.

To Fix 400 Bad Request Error:

1. Check the Submitted URL.

2. Clear Browser #Cache.

3. Clear Browser Cookies.

4. File Upload Exceeds Server Limit.

5. Clear #DNS Cache.

6. Deactivate Browser Extensions.

Laravel Contact Form to Send Emails with SendGrid

This article will guide you on steps to follow to create a #Laravel contact form to send #emails with the help of SendGrid.

#SendGrid manages all of the technical details, from scaling the infrastructure to #ISP outreach and reputation monitoring to whitelist services and real time analytics.

To integrate with SendGrid's #SMTP #API:

1. Create an API Key with at least "Mail" permissions.

2. Set the server #host in your email client or application to smtp.sendgrid.net.

3. Set your username to apikey.

4. Set your password to the API key generated in step 1.

5. Set the #port to 587.

Managing files with fs Module in Node js

This article will guide you on various functions that can be performed with fs #Module in Node.js such as reading, writing, and deleting files.

#Node . js includes fs module to access physical file system. The #fs module is responsible for all the asynchronous or synchronous file I/O operations.

To use FS in node JS:

The Node. js file system #module allows you to work with the file system on your #computer. To include the File System module, use the require() method: var fs = require('fs'):

1. Read files.

2. Create files.

3. Update files.

4. Delete files.

5. Rename files.

Create a DigitalOcean Space and API Key

This article will guide you on the steps to create #DigitalOcean #Space and #API Key. You will also see the #server #URL, bucket name (or Space name), access key, and secret. With this information you can connect most any S3-compatible client or library to your new DigitalOcean Space!

Handle Errors in Serverless Applications with AWS

This article will guide you how to handle #errors in Serverless Applications with AWS Step Functions. Combining AWS Step Functions with AWS Lambda makes it simple to orchestrate #AWS #Lambda functions for serverless applications.

To help you deal with errors in Lambda applications, Lambda integrates with services like #Amazon CloudWatch and AWS X-Ray. You can use a combination of logs, metrics, alarms, and tracing to quickly detect and identify issues in your function code, API, or other resources that support your application.

Lambda functions can fail in three cases:

i. An unhandled exception is raised — whether if we received an invalid input, an external API failed, or just a programming bug occurred.

ii. Timeout — Lambda running longer than the configured timeout duration is violently closed with a ‘Task timed out after … seconds’ message. The default value is 6 seconds, and the maximal value is 5 minutes.

iii. Out of memory — In this case, the lambda usually terminates with ‘Process exited before completing request’. The ‘Memory Size’ is equal to ‘Max Memory Used’.

An error occurred when calling the RevokeSecurityGroupIngress operation Steps to fix this aws error

This article will guide you on the steps to fix the AWS error "An error occurred when calling the RevokeSecurityGroupIngress operation" which shows that the target security group doesn’t have an inbound rule, or isn’t located in the default Amazon Virtual Private Cloud (Amazon VPC).

Ways of using SQL with Microsoft Access

This article will guide you on how to Use SQL with Microsoft Access.

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