Parameterized tests allow developers to efficiently test their code with a range of input values. In the realm of JUnit testing, seasoned users have long grappled with the complexities of implementing these tests. But with the release of JUnit 5.7, a new era of test parameterization enters, offering developers first-class support and enhanced capabilities. Let's delve into the exciting possibilities that JUnit 5.7 brings to the table for parameterized testing!
As a developer, engineer, or architect, managing and securing growing volumes of data across multiple environments can be a complex and time-consuming task. Cohesity, a leading data management company, recently presented at the 54th IT Press Tour, highlighting how their platform simplifies data protection, management, and recovery, making life easier for technical professionals.
The Challenge of Fragmented Data Management
Cohesity's CEO Sanjay Poonen emphasized the challenges customers face due to the lack of a unified platform for data security and management. With data spread across multiple segments like data protection, security, mobility, access, and insights, organizations struggle with complexity, security risks, inefficiencies, and closed systems. Cohesity aims to address this $30B+ market opportunity by providing a converged solution.
In the digital era, data is the new gold, and the cloud is the new frontier. As we embark on this journey through the cloud landscape, it's crucial to understand the bedrock upon which our data-driven aspirations are built. Just as a house needs a solid foundation before you can think about interior design, understanding the structure of data management in the cloud is essential before you can leverage it to its full potential. In this article, we'll dissect the layers of data management.
Exploring the Layers of Data Management
Imagine you're constructing a skyscraper. You wouldn't start with the penthouse, would you? Similarly, when we talk about managing data in the cloud, we must begin at the bottom and work our way up. Let's explore the layers that form the backbone of any cloud-based data strategy.
The rapid evolution of generative AI, like GPT4 or Gemini, reveals both its power and the enduring challenge of bias. These advancements herald a new era of creativity and efficiency. However, they also spotlight the complex ways bias appears within AI systems, especially in generative technologies that mirror human creativity and subjectivity. This exploration ventures into the nuanced interplay between AI guardrails and human biases, scrutinizing the efficacy of these technological solutions in generative AI and pondering the complex landscape of human bias.
Understanding AI Guardrails
AI guardrails, initially conceptualized to safeguard AI systems from developing or perpetuating biases found in data or algorithms, are now evolving to address the unique challenges of generative AI. These include image and content generation, where bias can enter not only through data but also through how human diversity and cultural nuances are presented. In this context, guardrails extend to sophisticated algorithms ensuring fairness, detecting and correcting biases, and promoting diversity within the generated content. The aim is to foster AI systems that produce creative outputs without embedding or amplifying societal prejudices.
Angular, a powerful framework for building dynamic web applications, is known for its component-based architecture. However, one aspect that often puzzles new developers is the fact that Angular components do not have a display: block style by default. This article explores the implications of this design choice, its impact on web development, and how developers can effectively work with it.
The world of front-end development is replete with frameworks that aim to provide developers with robust tools to build interactive and dynamic web applications.
As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications. One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# code.
BenchmarkDotNet is a versatile, open-source performance assessment tool tailored for .NET developers. It can analyze, optimize, and scrutinize code efficiency and can help developers compare different code implementations, identify bottlenecks, and fine-tune critical sections for optimal performance.
In today's fast-paced digital landscape, DevOps has emerged as a critical methodology for organizations looking to streamline their software development and delivery processes. At the heart of DevOps lies the concept of collaboration between development and operations teams, enabled by a set of practices and tools aimed at automating and improving the efficiency of the software delivery lifecycle.
One of the key enablers of DevOps practices is platform engineering. Platform engineers are responsible for designing, building, and maintaining the infrastructure and tools that support the development, deployment, and operation of software applications. In essence, they provide the foundation upon which DevOps practices can thrive.
Call center scripts can be an effective tool for agents to use during customer interactions. They provide agents with a structure on how to interact with customers and ensure important information is communicated consistently and accurately. However, while they’re helpful, they can also become limiting if your agents begin to […]
The cybersecurity landscape necessitates continual adaptation and exploration of novel defensive strategies to counter the evolving threats posed by malicious actors. Machine learning (ML) has emerged as a powerful tool for bolstering cybersecurity, offering innovative approaches to anomaly detection, intrusion prevention, and threat identification. This article delves into the potential of ML in cybersecurity, examining its various applications and exploring its strengths and limitations while highlighting its professional value.
Introduction
The digital age has fostered an intricate tapestry of interconnected systems upon which individuals and organizations increasingly rely. Simultaneously, this reliance exposes us to an ever-evolving threat landscape of sophisticated cyberattacks. Traditional security methods, while essential, often struggle to keep pace with the dynamic nature of such threats.
AI-powered search capabilities are crucial for parsing through vast datasets to find relevant information quickly and efficiently. Azure Cognitive Search, a cloud search service powered by Microsoft's Azure platform, offers advanced search capabilities, integrating with Azure's AI services to enhance data exploration and discovery. This article delves into setting up and utilizing Azure Cognitive Search to create powerful search solutions.
Azure Cognitive Search
Azure Cognitive Search is a managed service that provides a rich search experience over content in web, mobile, and enterprise applications. It's built on the same technology that powers Microsoft's own Bing search engine, allowing engineers to incorporate similar intelligent search features into enterprise applications.
The lightweight and open IoT messaging protocol MQTT has been adopted more widely across industries. This blog post explores relevant market trends for MQTT: cloud deployments and fully managed services, data governance with unified namespace and Sparkplug B, MQTT vs. OPC-UA debates, and the integration with Apache Kafka for OT/IT data processing in real-time.
MQTT Summit in Munich
In December 2023, I attended the MQTT Summit Connack. HiveMQ sponsored the event. The agenda included various industry experts. The talks covered industrial IoT deployments, unified namespace, Sparkplug B, security and fleet management, and use cases for Kafka combined with MQTT like connected vehicles or smart cities (my talk).
The computational complexity of AI models is growing exponentially, while the compute capability provided by hardware is growing linearly. Therefore, there is a growing gap between those two numbers, which can be seen as a supply and demand problem.
On the demand side, we have everyone wanting to train or deploy an AI model. On the supply side, we have Nvidia and a number of competitors. Currently, the supply side is seeing earnings skyrocket, and the demand side is stockpiling and vying for access to compute.
Do you want to stop storing IP addresses in your WordPress comments?
By default, WordPress logs and stores the IP addresses of commenters to protect you against spammers. That said, with the rise of data privacy laws, you may want to stop this functionality to protect your website visitor data.
In this article, we will show you how to stop storing IP addresses in WordPress comments.
Should You Stop Storing IP Addresses in WordPress Comments?
Unless your commenters use a VPN, WordPress will store their IP addresses on your website.
This is mainly used to combat spam comments from suspicious IP addresses. Some security plugins may also use IP addresses to put users in a comment blacklist or block malicious IP addresses to prevent threats like brute force attacks and DDoS attacks.
That said, some users may feel uncomfortable knowing that their IP address is logged after they leave a comment. They may think that this information can be used against them, which can make them hesitant to engage with your WordPress website.
If your website caters to a global audience, then storing IP addresses without user consent can also make your site less compliant with the General Data Protection Regulation (GDPR). This is because the GDPR classifies IP addresses as personal data.
Most WordPress web hosting providers keep raw access logs of all visitors to your website for a limited period of time. Plus, you can view these IP addresses when viewing the Comments page in the WordPress dashboard.
Now, let’s look at how to stop storing IP addresses and improve your WordPress security. Here is an overview of what we will cover:
How to Stop Storing IP Addresses in WordPress Comments
This first method uses the WPCode plugin. We will use this plugin to insert a custom code snippet that stops your website from storing IP addresses from the comments section.
If this is your first time using code, don’t worry. WPCode’s user-friendly interface makes it easy to insert and manage custom code, even for a beginner.
Note: This article will use the WPCode free version, but feel free to upgrade to a Pro plan for more advanced features like conditional logic and scheduled snippets.
Now, you need to go to Code Snippets » + Add Snippet from your WordPress admin panel. After that, click the ‘Use snippet’ button under ‘Add Your Custom Code Snippet’.
You will now see the Create Custom Snippet screen.
First things first, you have to add a title for your code snippet. It can be something like ‘Disable IP Address in Comments.’
In the Code Type dropdown, choose ‘PHP Snippet.’ Then, in the Code Preview box, you can insert the following code:
After that, make sure the toggle in the top right corner says ‘Active’ and click ‘Save Snippet.’
It should look like this.
Now, the next time someone leaves a comment, you won’t see their IP address on the WordPress Comments page.
However, you will notice that previous comments still have this information stored. We will talk more about how to remove this data in the next part of the tutorial.
How to Remove IP Addresses From Older WordPress Comments
To remove IP addresses from your older WordPress comments, you will need to use phpMyAdmin. It’s a database management platform that usually comes with your WordPress hosting control panel.
Note: Before you do anything, we strongly recommend you back up your WordPress database first. That way, you can restore the database if you make a critical error.
Once you do that, you need to log in to your WordPress hosting account and look for the phpMyAdmin menu.
For Bluehost users, you will find phpMyAdmin by going to ‘Websites’ and selecting the website you want to configure in your dashboard. It should be under ‘Quick Links’.
Inside phpMyAdmin, you can navigate to the ‘SQL’ tab.
Simply adopting the Agile process does not mean your organization becomes Agile. Many companies switched from the Waterfall methodology to the Agile methodology for project management and failed miserably.
The major reasons were a lack of training of the team and management on Agile frameworks and a lack of technology, such as project management software, to implement Agile methodology.
When I saw this come out it seemed pretty interesting and accessible, so I gave it a try. With the proper prompting, it seems good. I am not sure if it’s better than Google Gemma, Meta LLAMA2, or OLLAMA Mistral for my use cases.
In the fast-paced development landscape, building high-quality mobile apps that provide a great user experience is crucial. This high quality can be ensured with thorough testing of these apps. The availability of numerous devices and platforms can be incredibly time-consuming. Thankfully, there are effective tools available for automating mobile app testing.
One increasingly popular framework for building mobile apps is Flutter. It enables you to build cross-platform mobile apps, leading to fast development times. However, testing the Flutter apps thoroughly is still required as the impact of issues can be huge on the customer base. Since manual testing can be time-consuming and error-prone, the best approach is to use the Appium automation framework.
