Debugging application issues in a Kubernetes cluster can often feel like navigating a labyrinth. Containers are ephemeral by design and intended to be immutable once deployed. This presents a unique challenge when something goes wrong and we need to dig into the issue. Before diving into the debugging tools and techniques, it's essential to grasp the core problem: why modifying container instances directly is a bad idea. This blog post will walk you through the intricacies of Kubernetes debugging, offering insights and practical tips to effectively troubleshoot your Kubernetes environment.
Building a full-featured Angular browser/mobile user interface requires a very specific skill set. There is a vast array of tools, frameworks, and platforms, and each requires a steep learning curve.
An open-source project, ApiLogicServer, has released a technical preview that combines GenAI-powered microservice automation with Ontimize, an Angular UI framework. While the promise of a complete running application is the goal of GenAI-enabled microservice, the developer will still need to interact with the generated components to create a finished web application.
For large-scale, distributed systems, chaos testing becomes an essential tool. It helps uncover potential failure points and strengthen overall system resilience. This article delves into practical and straightforward methods for injecting chaos into your Redis cluster, enabling you to proactively identify and address weaknesses before they cause real-world disruptions.
False positives in Gmail are uncommon but can happen, meaning an important email might mistakenly end up in your spam folder. When you’re dealing with hundreds of spam messages daily, identifying these legitimate emails becomes even more challenging.
You can create filters in Gmail such that emails from specific senders or with certain keywords are never marked as spam. But these filters would obviously not work for emails from new or unknown senders.
Find incorrectly classified messages in Gmail Spam
What if we used AI to analyze our spam emails in Gmail and predict which ones are likely false positives? With this list of misclassified emails, we could automatically move these emails to the inbox or generate a report for manual review.
Here’s a sample report generated from Gmail. It includes a list of emails with a low spam score that are likely legitimate and should be moved to the inbox. The report also includes a summary of the email content in your preferred language.
To get started, open this Google Script and make a copy of it in your Google Drive. Switch to the Apps Script editor and provide your email address, OpenAI API key, and preferred language for the email summary.
Choose the reportFalsePositives function from the dropdown and click the play button to run the script. It will search for unread spam emails in your Gmail account, analyze them using OpenAI’s API, and send you a report of emails with a low spam score.
If you would like to run this script automatically at regular intervals, go to the “Triggers” menu in the Google Apps Script editor and set up a time-driven trigger to run this script once every day as shown below. You can also choose the time of the day when you wish to receive the report.
How AI Spam Classification Works - The Technical Part
If you are curious to know how the script works, here is a brief overview:
The Gmail Script uses the Gmail API to search for unread spam emails in your Gmail account. It then sends the email content to OpenAI’s API to classify the spam score and generate a summary in your preferred language. Emails with a low spam score are likely false positives and can be moved to the inbox.
1. User Configuration
You can provide your email address where the report should be sent, your OpenAI API key, your preferred LLM model, and the language for the email summary.
// Basic configurationconstUSER_EMAIL='email@domain.com';// Email address to send the report toconstOPENAI_API_KEY='sk-proj-123';// API key for OpenAIconstOPENAI_MODEL='gpt-4o';// Model name to use with OpenAIconstUSER_LANGUAGE='English';// Language for the email summary
2. Find Unread Emails in Gmail Spam Folder
We use the epoch time to find spam emails that arrived in the last 24 hours and are still unread.
constHOURS_AGO=24;// Time frame to search for emails (in hours)constMAX_THREADS=25;// Maximum number of email threads to processconstgetSpamThreads_=()=>{constepoch=(date)=> Math.floor(date.getTime()/1000);const beforeDate =newDate();const afterDate =newDate();
afterDate.setHours(afterDate.getHours()-HOURS_AGO);const searchQuery =`is:unread in:spam after:${epoch(afterDate)} before:${epoch(beforeDate)}`;return GmailApp.search(searchQuery,0,MAX_THREADS);};
3. Create a Prompt for the OpenAI Model
We create a prompt for the OpenAI model using the email message. The prompt asks the AI model to analyze the email content and assign a spam score on a scale from 0 to 10. The response should be in JSON format.
constSYSTEM_PROMPT=`You are an AI email classifier. Given the content of an email, analyze it and assign a spam score on a scale from 0 to 10, where 0 indicates a legitimate email and 10 indicates a definite spam email. Provide a short summary of the email in ${USER_LANGUAGE}. Your response should be in JSON format.`;constMAX_BODY_LENGTH=200;// Maximum length of email body to include in the AI promptconstgetMessagePrompt_=(message)=>{const body = message
.getPlainBody().replace(/https?:\/\/[^\s>]+/g,'').replace(/[\n\r\t]/g,' ').replace(/\s+/g,' ').trim();// remove all URLs, and whitespace charactersreturn[`Subject: ${message.getSubject()}`,`Sender: ${message.getFrom()}`,`Body: ${body.substring(0,MAX_BODY_LENGTH)}`,].join('\n');};
4. Call the OpenAI API to get the Spam Score
We pass the message prompt to the OpenAI API and get the spam score and a summary of the email content. The spam score is used to determine if the email is a false positive.
The tokens variable keeps track of the number of tokens used in the OpenAI API calls and is included in the email report. You can use this information to monitor your API usage.
You can run this Google script manually or set up a cron trigger to run it automatically at regular intervals. It marks the spam emails as read so they aren’t processed again.
constSPAM_THRESHOLD=2;// Threshold for spam score to include in the reportconstreportFalsePositives=()=>{const html =[];const threads =getSpamThreads_();for(let i =0; i < threads.length; i +=1){const[message]= threads[i].getMessages();const messagePrompt =getMessagePrompt_(message);// Get the spam score and summary from OpenAIconst{ spam_score, summary }=getMessageScore_(messagePrompt);if(spam_score <=SPAM_THRESHOLD){// Add email message to the report if the spam score is below the threshold
html.push(`<tr><td>${message.getFrom()}</td> <td>${summary}</td></tr>`);}}
threads.forEach((thread)=> thread.markRead());// Mark all processed emails as readif(html.length >0){const htmlBody =[`<table border="1">`,'<tr><th>Email Sender</th><th>Summary</th></tr>',
html.join(''),'</table>',].join('');const subject =`Gmail Spam Report - ${tokens} tokens used`;
GmailApp.sendEmail(USER_EMAIL, subject,'',{ htmlBody });}};
Machine learning continues to be one of the most rapidly advancing and in-demand fields of technology. Machine learning, a branch of artificial intelligence, enables computer systems to learn and adopt human-like qualities, ultimately leading to the development of artificially intelligent machines. Eight key human-like qualitiesthat can be imparted to a computer using machine learning as part of the field of artificial intelligence are presented in the table below.
In this tutorial, we will guide you through the process of building a tool that utilizes OpenAI's GPT-4 model to produce text based on user prompts. We will cover setting up your environment, making API calls to OpenAI's model, and integrating the tool into a basic application. By the end of this tutorial, you will have a functional tool that can generate text by interacting with OpenAI's GPT-4 model.
Prerequisites
Basic understanding of Python programming
An OpenAI API key (sign up at OpenAI's website if you don't have one)
A working Python environment (Python 3.7+)
Step 1: Setting up Your Environment
First, you need to install the OpenAI Python client library. Open your terminal and run:
Vue.js is a popular JavaScript framework, and as such, it is crucial to ensure that its components work as they are supposed to: effectively, and more importantly, reliably. Mocking dependencies is one of the most efficient methods of testing, as we will discover in this article.
The Need for Mocking Dependencies
Mocking dependencies is a way of exerting control over tests by providing the capacity to isolate components under test from their dependencies. As all frameworks work with multiple components, which can range from APIs to services and even interactions such as clicks or hovers, it is important to be able to isolate these components to test for their durability, behavior, and reliability. Mocking dependencies allow users to create a controlled testing environment to verify the component's behavior in isolation.
Are you ready to supercharge your career journey and unlock your full potential? We are excited to announce Treehouse’s new live career-building workshops, designed to help you launch your career. Hosted by Career Advisor and Community Manager Jenavieve Dance, these...
Hi everyone!
I can not drive traffic on my website. The backlinks that I am creating are not indexing hence I am not getting any referral traffic as well as backlinks.
Can someone help me out? Also how can I index my backlink on Wikipedia?
Thanks!
Angular is a leading framework for building web applications and a large number of companies use it in their enterprise software building. This makes the ability to showcase your Angular application quite lucrative. It is not always straightforward though to showcase your Angular skills to others. Maybe you work for an application that is internal to your company only, or it is behind a pay subscription or you are an aspiring student who has not yet worked on a real-world application.
It can be very costly to host your sample web application on online cloud hosting platforms or can become hard to maintain if you decide to host it on your local machine. GitHub pages offer a very cost-effective way to host, and with Angular’s GitHub page integration, it becomes a breeze to host your app.
This week, thousands of data and AI professionals gathered in San Francisco for Snowflake Summit 2024, the largest event focused on eliminating complexity and making AI accessible to everyone in the organization. The overarching message was clear — welcome to the age of enterprise AI.
Snowflake CEO Sridhar Ramaswamy kicked off the event by highlighting the company's continued growth and innovation. Snowflake now has 9,800 customers, processes 5 billion queries daily, and its largest customer table contains 200 trillion rows. Over 50% of customers are using Snowpark to bring more extensibility to the platform.
The development of the .NET platform and C# language moves forward with the launch of .NET 9 and C# 13, introducing a range of enhancements and advancements to boost developer efficiency, speed, and safety. This article delves into upgrades and new features in these releases giving developers a detailed look.
Integrating data from multiple sources like Salesforce and Oracle into Amazon Redshift is crucial for organizations looking to centralize their analytics. This article demonstrates how to connect to Salesforce and Oracle, extract data using SOQL and SQL queries, load it into Redshift staging tables, and perform transformations using Redshift stored procedures, all orchestrated through Python scripts.
Prerequisites
Salesforce: Access to Salesforce with the necessary API permissions.
Oracle: Access to an Oracle database with the necessary query permissions.
Amazon Redshift: An existing Redshift cluster.
Python: Installed with the necessary libraries (simple_salesforce, cx_Oracle, boto3, psycopg2).
Connecting to Salesforce and Extracting Data
First, let's connect to Salesforce and extract data using SOQL.
Wouldn’t it be great if you could attract more visitors from around the world to your website and increase traffic?
As the president of a popular WordPress SEO plugin, I’ve seen a growing trend toward the need for localization (adapting your content to a specific target audience) on websites and in online marketing.
I believe that many businesses can unlock tremendous potential by combining basic localization techniques with SEO best practices.
In this article, I will share proven international SEO tips that have helped me and many others, including entrepreneurs, marketers, and bloggers, to attract a global audience.
Note: This is a guest post by Benjamin Rojas, the president of All in One SEO, the best WordPress SEO plugin on the market. This is an expert column that we publish on Thursdays, where we invite a WordPress expert to share their experiences with our readers.
I will break down the article into step-by-step tips that you can use. If you want, you can also jump to a section by clicking the links below:
Why Target Global Audiences With International SEO?
As the president of one of the biggest WordPress SEO plugins on the market, I have customers from all over the world.
To earn these customers, my team ensures that All in One SEO can be translated easily (50+ languages and counting).
This is just one way to get more global customers, and there are plenty of ways that other businesses can do it.
Here are some of the benefits of targeting global audiences:
More traffic: Anyone from anywhere can visit your website. Why limit yourself? Going international means your audience can explode in size.
Understand broader customer needs: It’s not just about getting hits. It’s about understanding what different people need and want. This can help you tailor your content and marketing to convert more users.
Boost engagement: When you speak someone’s language, literally and culturally, they’re more likely to listen. That means more shares, more sales, and more feedback.
Stay ahead of competitors: Many businesses aren’t making the most of international SEO yet. Start now, and you’ll be steps ahead.
How to Target Users in Different Regions With International SEO
Over the years working in the SEO industry, I have learned that tiny changes in your SEO strategy can often lead to big and meaningful results.
One misconception about offering localized experiences is that it requires too much time and resources.
My experience has been totally different.
International SEO does require some effort, but it is quite easy, and the benefits are worth your time.
1. Choose Regions You Want to Target
Not all businesses and websites target international audiences.
However, for most websites, a huge chunk of visitors are coming from abroad, even when you are not specifically trying to reach any region in particular.
That’s not to say that you have to make your website available in every language. However, you can determine and target which languages and regions are the easiest low-hanging fruit.
The perfect tool for this is Google Analytics. It tracks your website visitors and shows you who they are, where they are coming from, and what they are interested in.
Many users have reported difficulty finding the reports they need in Google Analytics. I recommend that you use MonsterInsights, which is the best Google Analytics plugin for WordPress.
I use MonsterInsights because it makes Google Analytics so easy. You get all your important reports right inside the WordPress dashboard.
For instance, you get this ‘Top 10 Countries’ report showing where your visitors come from.
In this example screenshot, you can easily see countries where most people speak a language different than your website’s language.
You also see countries where users may speak the same language but have regional differences, such as currencies and cultural and geographical factors.
Reaching those customers by providing them with a more localized experience can bring in more users and revenue from these regions.
Once you have found the regions you want to target, translating your website into local languages is the easiest way to offer a better user experience.
Only a decade ago, creating multilingual websites was not easy. However, now you have excellent tools and resources that make it a breeze.
The easiest way to serve multilingual content in WordPress is by using a WordPress translation plugin like WPML.
You can translate your website by yourself or outsource translations. It is not too expensive, and the quality of human translations is typically high.
WPML also offers AI-powered automatic translations on a pay-as-you-go basis. It is built using state-of-the-art language models from Microsoft, Google, and DeepL.
The big question that comes next is whether you should translate a select few pages or your entire website.
From an SEO point of view, here is how I see it:
Translating just a handful of pages means you’re missing out on ranking opportunities in other languages. Having a higher number of translated pages creates more chances to climb the search engine ladder.
Remember, internal linking is a major player in SEO. To make it work on a multilingual site, you need enough translated content to create meaningful links between pages.
So, my advice is: Go for a full site translation. This will boost your SEO and enhance the user experience, which search engines love.
3. Choose URL Structure
When offering different versions of a website to different regions, your WordPress translation plugin will ask you to choose a URL structure.
You can use any of the following URL structures:
Subdomain URL structure (Example: https://en-uk.yourwebsite.com). The disadvantage of this method is that search engines consider subdomains to be individual websites. Your root domain will not benefit from this structure.
Subdirectory URL structure (Example: https://yourwebsite.com/en-uk/) This URL structure takes advantage of your root domain’s authority and is good for rankings in many cases.
Country-level domain names (Example: https://yourwebsite.co.uk). For this method, you will need to register domain names for each country you want to target. The advantage is that ranking in a country with a local domain name is easier. The disadvantage is that this will be treated as a standalone website with little benefit to your main domain name.
Language parameter in URL (Example: https://yourwebsite.com/?lang=en-gb). This method is not recommended because it makes it difficult for you to manage URLs and for users to realize they are seeing a geo-targeted page version.
In my opinion, a subdirectory URL structure offers the most SEO benefits for small businesses. It is also easier to manage and set up redirects.
4. Keyword Research
Keyword research is the technique used by SEO experts and marketers to find the search terms their target audience is using.
It applies to international SEO as well.
For example, while your website might rank for “Sneakers” in the United States, in the UK, your customers could be searching for “Trainers,” and in Canada, they might use the term “Runners.”
You can see this in action on the Nike website. It has highly optimized pages for ‘Trainers’ on the Nike U.K. store, ‘Sneakers’ on the Nike U.S. store, and ‘Shoes’ on Nike India.
You can select countries while doing your keyword research to find the search volume.
I recommend using SEOBoost for keyword research. It is an all-in-one tool for on-page SEO and keyword research.
Simply enter your main keyword and then select the region you want to target.
It will generate a comprehensive analysis of search rankings, content analysis, and what you need to outrank the competition.
You will need an SEO plugin like All in One SEO, which helps you optimize each page with different SEO titles and descriptions.
Aside from the copy on your page, post, or product content, you will need to pay attention to SEO settings.
Depending on which translation plugin you are using, you can edit the SEO settings in the translation editor. For example, here is the WPML translation editor, where the AIOSEO settings are highlighted.
Ensure you optimize each page for the focus keyword you chose for that region.
Once you have started translating your content into other languages, you need to tell search engines about the translated content.
The best way to do this is with XML sitemaps. These documents tell search engines about all the content on your website, which makes it easier for them to crawl and rank your posts and pages.
If you are using All in One SEO for WordPress, then you can go to the AIOSEO » Sitemaps page to configure sitemaps.
All in One SEO replaces the default WordPress XML sitemaps with advanced features. It automatically includes all your translated content in your sitemaps and even supports RSS, video, news, and HTML sitemaps.
Unfortunately, many businesses often overlook their landing and home pages when thinking about regional user experience.
Including cultural references and location-specific content on your pages can help with conversions. However, overlooking these elements may cause your landing and home pages for different regions to be less effective in converting traffic into customers.
I recommend creating pages using a page builder like SeedProd. It is a beginner-friendly WordPress page builder with an intuitive drag-and-drop design tool.
This way, you can easily create duplicate landing pages and translate them. You can also create separate home pages for different regions.
Basically, this approach significantly reduces the amount of work required without compromising on conversions.
6. Redirecting Users to Regional Content
In my experience, a personalized user experience is great for conversions. For that reason, you might be considering automatically sending users to content made for their region and language.
That’s a big NO!
Google and other search engines discourage setting up automatic redirects for translated versions of your website by detecting users’ IP addresses or cookies.
This is because automatic redirects may stop search bots from crawling all versions of your site and prevent users from viewing content they originally found.
Instead, it’s better to set up a language or region switcher for your multilingual and multi-region content. This will inform users that the content is available in their language or region and give them an opportunity to switch.
Note: All top WordPress translation plugins come with language switchers.
What About Manual Redirects?
In some cases, you may need to set up manual redirects. For instance, if you change the URL structure from a subdomain to a directory URL.
These types of redirects may be necessary because the old URL structure would result in 404 errors.
You can use the All in One SEO redirection manager to set those redirects. It lets you set up site redirects and use REGEX to save time.
Google is pretty good at detecting content in different languages and showing it to users in those regions. However, I still recommend explicitly telling search engines about the language or region of your content.
This can be done using the hreflang HTML tag. Most WordPress translation plugins will automatically add that to the header of your site. It is a tiny string that looks like this:
Why Is It Important?
Let’s say you have three versions of a page, all in English, but they show prices in regional currencies.
The content of those pages may appear quite similar to search engines and could be considered duplicate content.
By adding the hreflang tag to the HTML code, you tell search engines about the different versions of the page to avoid duplicate content.
In today’s digital marketplace, establishing a strong brand presence on Amazon is crucial for success. As the largest online retailer, Amazon offers immense opportunities for brands to reach millions of customers. However, with this opportunity comes fierce competition. To stand out, brands must implement strategic approaches to enhance visibility, credibility, and customer loyalty. This blog […]
