News Aggregator

No-Code, Agile, and the UI Is Dead: Long Live AI

Aggregated on: 2024-06-12 20:36:12

Anyone having read my previous article about AI functions will easily agree with me; no-code is dead. Sorry, dragging and dropping widgets into a form is simply an obsolete skill. Disclaimer; I don't mean dead as in "proper dead," I mean dead as in 100% of existing no-code platforms have basically been rendered obsolete by AI, more specifically LLMs combined with AI functions. If you don't understand why, check out some of the following articles that were almost entirely created using nothing but prompt engineering and natural language.

How Snowflake Is Powering the Future of Big Data With Apache Iceberg and Polaris

Aggregated on: 2024-06-12 19:51:12

Snowflake is on a mission to enable every organization to be data-driven. With its latest innovations around Apache Iceberg and the launch of Polaris, the data cloud company is making it faster and easier than ever for developers, engineers, and architects to harness big data for transformative business insights. Bringing Open Standards to the Data Cloud At the core of Snowflake's strategy is embracing open standards and avoiding vendor lock-in. With the general availability of Apache Iceberg on Snowflake, customers can now enjoy the flexibility and interoperability this open table format provides.

How To Submit a Technical Presentation

Aggregated on: 2024-06-12 18:51:12

There is no shortage of technical events such as conferences, meetups, trainings, hackathons, and so on. These events are a great way to learn new things, connect with people, and share knowledge with others. One of the most valuable and exciting ways to share knowledge is by giving a technical presentation. Today, we will look at how to submit a technical presentation for an event and get some personal recommendations from me, as well. Though we will specifically gear the information for the NODES 2024 call for proposals, nearly everything discussed can be applied to other technical events and speaking engagements.

Top Automation Testing Tools for 2024

Aggregated on: 2024-06-12 17:51:12

Automation testing tools are designed to execute automated test scripts to validate software requirements, both functional and non-functional. These tools enhance project satisfaction and accelerate release velocity, ultimately leading to better outcomes. Automation testing technologies facilitate the creation, execution, and maintenance of tests effortlessly while providing a consolidated view of test result analytics. However, it's crucial not to follow others blindly when choosing the best automation tool for your organization. Consider your company's goals, available resources, and growth potential to select the tool that best suits your needs. Ten Different Testing Tools for 2024 1. Selenium Selenium is a widely used open-source framework for web browser automation. It supports various programming languages, including Java, Python, and C#, making it a versatile option for web applications. Selenium allows testers to create scripts that work across different platforms and browsers, improving workflow and establishing a comprehensive testing process. While it doesn't require licensing, setting up and maintaining Selenium may need technical expertise due to its open-source nature.

How To Handle Shadow Root in Selenium Java

Aggregated on: 2024-06-12 16:51:12

When automating tests using Selenium, there may be a scenario where you can't find an element on a web page even though it seems to be in the Document Object Model (DOM). In this case, Selenium throws a NoSuchElementException() error.

YOLOv10: SOTA Real-Time Object Detection

Aggregated on: 2024-06-12 15:51:12

YOLOv10 (You Only Look Once v10), introduced by Tsinghua University on May 23, offers a significant improvement over YOLOv9. It achieves a 46% reduction in latency and uses 25% fewer parameters, all while delivering the same level of performance. 2. YOLOv10 Visual Object Detection: Overview 2.1 What Is YOLO? YOLO (You Only Look Once) is an object detection algorithm based on deep neural networks, designed to identify and locate multiple objects in images or videos in real time. YOLO is renowned for its fast processing speed and high accuracy, making it ideal for applications that require rapid object detection, such as real-time video analysis, autonomous driving, and smart healthcare.

The Benefits of Using RTK Query: A Scalable and Efficient Solution

Aggregated on: 2024-06-12 14:36:12

As developers, we're constantly seeking ways to streamline our workflows and enhance the performance of our applications. One tool that has gained significant traction in the React ecosystem is Redux Toolkit Query (RTK Query). This library, built on top of Redux Toolkit, provides a solution for managing asynchronous data fetching and caching. In this article, we'll explore the key benefits of using RTK Query. The Benefits of Using RTK Query: A Scalable and Efficient Solution 1. Simplicity and Ease of Use One of the most compelling advantages of RTK Query is its simplicity. This is how one would easily define endpoints for various operations, such as querying data, and creating, updating, and deleting resources. The injectEndpoints method allows you to define these endpoints in a concise and declarative manner, reducing boilerplate code and improving readability.

Ansible Code Scanning and Quality Checks With SonarQube

Aggregated on: 2024-06-12 13:36:12

You should have heard about SonarQube as a code scanning and code quality check tool. SonarQube doesn't support Ansible by default. A plugin needs to be set up to scan Ansible playbooks or roles. In this article, you will learn on how to set up and use SonarQube on your Ansible (YAML) code for linting and code analysis. This article uses the community edition of SonarQube. What Is Ansible? As explained in previous articles around Ansible: Ansible Beyond Automation and Automation Ansible AI, Ansible is a simple IT automation tool that helps you provision infrastructure, install software, and support application automation through advanced workflows.

Smart Network Onboarding: Revolutionizing Connectivity With AI and Automation

Aggregated on: 2024-06-12 00:21:11

Network onboarding — the process through which new devices gain access to an organization's network— is a cornerstone of IT operations, affecting everything from security to user satisfaction. Traditionally, this process has been fraught with challenges, particularly at scale. In environments with hundreds or thousands of devices, manual onboarding can consume disproportionate amounts of time and resources. According to a study by Cisco, IT teams spend approximately 20% of their time managing device connectivity issues, highlighting the operational burden of current practices. Moreover, the scale of the problem becomes more apparent considering the proliferation of IoT devices. Gartner reports that by 2025, over 75 billion connected IoT devices will be in use worldwide. Each device, from the simplest sensor to complex industrial machinery, requires precise and secure network integration, a task that becomes exponentially difficult as network environments grow in complexity and scale.

Mastering BGP Neighborship: Effective Troubleshooting Strategies

Aggregated on: 2024-06-11 22:06:12

Border Gateway Protocol (BGP) is the cornerstone of the internet's routing architecture, enabling data exchange between different autonomous systems (AS’s) and ensuring seamless communication across diverse networks. However, the complexity of BGP can make troubleshooting a daunting task, even for experienced network engineers. Whether you're dealing with connectivity issues, session establishment problems, or routing anomalies, a systematic approach to BGP troubleshooting is essential for maintaining network stability and performance. Topology The two routers have been configured with EBGP but we see that the neighborship did not establish.

The Importance of Code Profiling in Performance Engineering

Aggregated on: 2024-06-11 22:06:12

When we discuss code profiling with a team of developers, they often say, "We don't have time to profile our code: that's why we have performance testers," or, "If your application or system runs very slowly, the developers and performance testers may suggest the infra team to simply add another server to the server farm." Developers usually look at code profiling as additional work and as a challenging process. Everyone in the project enters the phase of performance and memory profiling only when something is seriously a problem with performance in production. Due to a lack of knowledge and experience on how to profile and how various profilers work with different profiling types, many of us will fail to identify and address performance problems. As 70 to 80 percent of performance problems are due to inefficient code, it is recommended to use code profiling tools to measure and analyze the performance degradations at the early stages of development. This will help developers and performance engineers to find and fix the performance issues early which can make a big difference overall, especially if all the developers are testing and profiling the code as soon as they write.

Injecting Chaos: Easy Techniques for Simulating Network Issues in Redis Clusters

Aggregated on: 2024-06-11 21:06:11

While comprehensive chaos testing tools offer a wide range of features, sometimes you just need a quick and easy solution for a specific scenario. This article focuses on a targeted approach: simulating network issues between Redis client and Redis Cluster in simple steps. These methods are ideal when you don't require a complex setup and want to focus on testing a particular aspect of your Redis cluster's behavior under simulated network issues. Set-Up This article assumes that you already have a Redis cluster and the client code for sending traffic to the cluster is set up and ready to use. If not, you can refer to the following steps:

Revolutionizing API Security in the Era of GenAI: An Architect’s Perspective

Aggregated on: 2024-06-11 19:51:11

As a seasoned security architect, I have witnessed the transformative impact of AI and ML on the software development landscape, particularly in the context of API security. The advent of GenAI, with its ability to rapidly generate code and entire applications, has unlocked unprecedented opportunities for innovation. However, this acceleration in development speed has also introduced complex security challenges that demand advanced solutions. In the past, I have encountered numerous real-world scenarios where inadequate API security measures led to devastating consequences. In one notable incident, a major retailer suffered a significant data breach due to an insecure API that allowed unauthorized access to sensitive customer information. The root cause was traced back to a combination of factors, including improper authentication mechanisms, lack of input validation, and insufficient monitoring and logging.

How to Fully Validate URLs in Java

Aggregated on: 2024-06-11 18:36:11

Uniform Resource Locators (URLs) function as the address of unique resources on the internet. Entering a website URL into our browser retrieves the HTML/CSS files required to construct the page we’re visiting, and making API calls against an endpoint URL allows us to remotely access and/or modify important data — the list goes on. URLs effectively facilitate the interconnectivity we take for granted on the internet today. When we capture URL string inputs in our web applications, it’s critical that we validate those inputs to ensure the URLs are useful. Retrieving and storing any form of address data (whether that's a URL address, an IP address, or even a physical street address) without immediately validating its utility is a waste of time; it’ll leave us empty-handed when we attempt to access important resources in the future.

The Meta-Retrospective

Aggregated on: 2024-06-11 17:21:11

The Meta-Retrospective is an excellent exercise to foster collaboration within the extended team, create a shared understanding of the big picture, and immediately create valuable action items. It comprises team members of one or several product teams — or a representative from those — and stakeholders. Participants from the stakeholder side are people from the business as well as customers. Meta-retrospectives are useful both as a regular event, say once a quarter, or after achieving a particular milestone, for example, a specific release of the product. The Benefits of the Meta-Retrospectives Your stakeholders are your allies, not an impediment!

A Single API for All Your Conversational Generative AI Applications

Aggregated on: 2024-06-11 17:21:11

You can now use the Converse API in Amazon Bedrock to create conversational applications like chatbots and support assistants. It is a consistent, unified API that works with all Amazon Bedrock models that support messages. The benefit is that you have a single code base (application) and use it with different models — this makes it preferable to use the Converse API over InvokeModel (or InvokeModelWithResponseStream) APIs. I will walk you through how to use this API with the AWS SDK for Go v2.

KNIME’s Path To Empowering Developers in the Evolving Data Science Landscape

Aggregated on: 2024-06-11 16:06:08

In the rapidly evolving world of data science, companies are constantly seeking tools and platforms that can help them harness the power of their data. KNIME, an open-source data science platform, has been at the forefront of this revolution, providing a comprehensive environment for data preparation, machine learning, and analysis. I recently had the opportunity to catch up with Michael Berthold, Founder and CEO of KNIME, at the Snowflake Data Cloud Summit, where we discussed the company's journey over the past five years and its vision for empowering developers, engineers, and architects in the data science landscape. Evolving With the Times Over the past five years, KNIME has undergone significant changes to stay ahead of the curve. "We completely changed both of our technologies," Berthold revealed. The analytics platform is now browser-ready, and the KNIME server has been replaced with a cloud-native business hub. The company also recently launched a SaaS offering, allowing users to access KNIME's powerful features without the need for on-premises installation.

Exploring the Dynamics of Streaming Databases

Aggregated on: 2024-06-11 14:21:07

In previous articles, we’ve discussed the basics of stream processing and how to choose a stream processing system. In this article, we’ll describe what a streaming database is, as it is the core component of a stream processing system. We'll also provide some commercially available solutions to make an informative choice if you need to choose one.

GitHub Copilot Tutorial

Aggregated on: 2024-06-11 14:21:07

This article describes the GitHub Copilot tool and the main guidelines and assumptions regarding its use in software development projects. The guidelines concern both the tool’s configuration and its application in everyday work and assume the reader will use GitHub Copilot with IntelliJ IDEA (via a dedicated plugin). GitHub Copilot: What Is It? GitHub Copilot is an AI developer assistant that uses a generative AI model trained for all programming languages available in GitHub repositories. The full description and documentation of the tool is available here.

Why Choose Bug Bounty Programs? (Benefits and Challenges Explained)

Aggregated on: 2024-06-10 23:51:06

Diligent software developers must follow secure development practices, industry standards, and regulatory requirements when handling software vulnerabilities. Handling vulnerabilities is a complex, multi-step process that involves various methods and stages. One effective approach to finding vulnerabilities is through Bug Bounty programs. Preparing for a Bug Bounty Program Before launching a Bug Bounty program, a company should already have established processes for identifying vulnerabilities. It is crucial to have experience working with third-party organizations for code and process security audits, commonly known as penetration testing. Having experience with red teaming is even better.

Choosing the Optimal Data Storage Architecture

Aggregated on: 2024-06-10 22:51:06

Data Warehouse, Data Lake, and Data Lakehouse are the most popular types of data storage architectures that may benefit any business looking to develop its analytics capabilities. Each of them has a set of advantages and best-fit use cases. The most important thing is to choose the data storage approach that best suits your business needs. In this blog post, we'll describe the workings of each solution to help you make a more informed decision. Data storage architecture is a hot topic in today’s business world as the demand for big data analytics is growing. Businesses generate massive amounts of data and require a robust solution to collect, store, and analyze it effectively. Data storage is the foundation of big data architecture and its components. It provides an environment for storing and serving data and has a direct influence on essential KPIs, such as:

Creating Custom Dashboards With Vizro: A Comprehensive Guide

Aggregated on: 2024-06-10 21:51:07

What Is Vizro? This information is sourced from the official Vizro GitHub Page. Vizro is a Python library to create dashboards for your data simply, built on top of Dash and Plotly. It aims to merge the rapid prototyping abilities of Streamlit with the customization capabilities of Dash. A Vizro Dashboard is made of Pages, with each page mainly comprising Components (which can be Graphs or Tables), Filters (which can be sliders, dropdown boxes, and other buttons), and optional Actions. Together, they can be formatted in native Python as an object, or as a YAML file. In this tutorial, I will be locally developing a Vizro Dashboard using Python. I assume some prior knowledge of the Pandas Library.

Analysis of Flubot Malware on Android OS

Aggregated on: 2024-06-10 20:36:06

Every day, the use of smartphones increases, together with the advancement of the operating system of Android. Subsequently, there have been reports of malicious individuals and hackers capitalizing on the exploits that Android has to offer to gain access to the data that users hold dear. Such threats have included, for instance, the Flubot malware attack that was released for Android devices globally in the year 2021. Notably, this malware targeted banking apps used by victims on their gadgets to carry out the cyberattacks. That is why, with reference to the understanding of the Flubot malware’s signature and behavior, our research focuses on the possible methods of the cyber threat’s future strikes. Originally, our research included an exploratory analysis of three different samples of Flubot malware found in the free repository of the Hatching Triage platform.

Navigating the Maze: Evolving Projects and Database Dilemmas

Aggregated on: 2024-06-10 19:21:06

Imagine this: A new project starts with a clear vision and well-structured code. Over time, it takes on a life of its own, growing into a web of features, requirements, and code modules. Despite this growth proves the project’s success, it also increases its complexity, which can become overwhelming if not managed properly. You've heard this story before. As all of us know, actual programming begins to steer this complexity into a maintainable and scalable form. We need to ensure that the expansion of our project is linear or at least predictable in its complexity. The project’s relational database schema is often a prime battleground for this effort.

Sanity Testing vs. Regression Testing: Key Differences

Aggregated on: 2024-06-10 18:21:05

As part of the Software Development Life Cycle (SDLC), different types of testing are performed, each targeting specific elements and aspects of the software application. Among those, sanity and regression testing are two of the most important types of software testing. Comparing sanity testing and regression testing, sanity testing is the process that involves a quick test of the software application when it goes through any minor changes to make sure that the software is stable for further testing. When it comes to regression testing, it validates the changes made to the software (fixing bugs, adding features) haven't broken anything and that everything built previously works as expected.

dovpanda: Unlock Pandas Efficiency With Automated Insights

Aggregated on: 2024-06-10 18:21:05

Writing concise and effective Pandas code can be challenging, especially for beginners. That's where dovpanda comes in. dovpanda is an overlay for working with Pandas in an analysis environment. dovpanda tries to understand what you are trying to do with your data and helps you find easier ways to write your code and helps in identifying potential issues, exploring new Pandas tricks, and ultimately, writing better code – faster. This guide will walk you through the basics of dovpanda with practical examples. Introduction to dovpanda dovpanda is your coding companion for Pandas, providing insightful hints and tips to help you write more concise and efficient Pandas code. It integrates seamlessly with your Pandas workflow. This offers real-time suggestions for improving your code.

JavaScript, Node.js, and Apache Kafka for Full-Stack Data Streaming

Aggregated on: 2024-06-10 17:06:05

JavaScript is a pivotal technology for web applications. With the emergence of Node.js, JavaScript became relevant for both client-side and server-side development, enabling a full-stack development approach with a single programming language. Both Node.js and Apache Kafka are built around event-driven architectures, making them naturally compatible for real-time data streaming. This blog post explores open-source JavaScript clients for Apache Kafka and discusses the trade-offs and limitations of JavaScript Kafka producers and consumers compared to stream processing technologies such as Kafka Streams or Apache Flink. JavaScript: A Pivotal Technology for Web Applications JavaScript is a pivotal technology for web applications, serving as the backbone of interactive and dynamic web experiences. Here are several reasons JavaScript is essential for web applications:

Twilio Empowers Developers With Enhanced Data Warehouse Interoperability

Aggregated on: 2024-06-10 15:51:05

In the era of data-driven decision-making, businesses are constantly seeking ways to harness the power of their customer data to deliver personalized experiences. Twilio, the leading customer engagement platform, has taken a significant step forward in this direction with the announcement of Linked Audiences and the debut of the Segment Data Graph at Snowflake Summit 2024. These new product features enhance Twilio Segment's interoperability with data platforms and warehouses, empowering developers, engineers, and architects to unlock the full potential of customer data. Unlocking the Power of Customer Data Twilio's Linked Audiences and Segment Data Graph are game-changers for businesses that rely on data platforms and warehouses for managing customer data. By enhancing interoperability between Segment's CDP and data warehouses, Twilio enables businesses to transform static data repositories into dynamic, actionable engines that drive real-time, personalized customer experiences.

Understanding MVP: Striking the Balance Between Minimum and Viable

Aggregated on: 2024-06-10 14:36:06

"Is this feature needed for MVP? Why do we need more budget for our MVP? Why didn't users mention this requirement during MVP definition? Why can't we deliver the MVP faster?" If any of these questions sound familiar, keep reading. If you've ever been part of an Agile team or involved in technology development, you've likely encountered the term "MVP," or Minimum Viable Product. Despite its seemingly straightforward definition, the concept of MVP often leads to confusion and misapplication. Misunderstanding MVP can cause product failures, as teams may incorrectly prioritize "minimum" over "viable." This article aims to demystify MVP and provide clarity on its true meaning and application in product development.

Exploring WebAssembly for Cloud-Native Development

Aggregated on: 2024-06-10 13:21:07

I’m a senior solution architect and polyglot programmer interested in the evolution of programming languages and their impact on application development. Around three years ago, I encountered WebAssembly (Wasm) through the .NET Blazor project. This technology caught my attention because it can execute applications at near-native speed across different programming languages. This was especially exciting to me as a polyglot programmer since my programming expertise ranges across multiple programming languages including .NET, PHP, Node.js, Rust, and Go. Most of the work I do is building cloud-native enterprise applications, so I have been particularly interested in advancements that broaden Wasm’s applicability in cloud-native development. WebAssembly 2.0 was a significant leap forward, improving performance and flexibility while streamlining integration with web and cloud infrastructures to make Wasm an even more powerful tool for developers to build versatile and dynamic cloud-native applications. I aim to share the knowledge and understanding I've gained, providing an overview of Wasm’s capabilities and its potential impact on the cloud-native development landscape.

Snowflake Empowers Developers to Easily Build Data-Driven Apps and Chatbots

Aggregated on: 2024-06-09 15:21:06

In today's fast-paced, data-driven world, developers, engineers, and architects are constantly seeking ways to create intelligent applications and chatbots that harness the power of data. Snowflake, the Data Cloud company, has been at the forefront of empowering these professionals with its unified platform, cutting-edge AI capabilities, and powerful tools like Snowpark and Streamlit. This article explores how Snowflake is making it easier for developers to build data-driven apps and chatbots, drawing insights from the Snowflake Builder's Keynote at the Snowflake Data Cloud Summit and an interview with Amanda Kelly, Director of Streamlit and Product Experiences at Snowflake. The Snowflake Advantage: A Unified Platform One of the key advantages of Snowflake is its single, unified platform. As Jeff Hollan, Director of Product at Snowflake, stated during the Builder's Keynote, "We don't make you do the hard work of figuring out all these different pieces put together. It all just comes together in a single, unified platform." This unified approach allows developers to focus on building applications rather than worrying about integrating disparate systems.

Harnessing the Power of Gen AI: Real-World Applications and Best Practices

Aggregated on: 2024-06-08 15:06:02

The advent of Generative AI (Gen AI) has sparked a revolution across industries, promising to transform the way we approach problem-solving and innovation. As the hype surrounding this technology reaches fever pitch, it is crucial for developers, engineers, and architects to navigate between the excitement and the reality. At the Snowflake Data Cloud Summit, I had the opportunity to attend a couple of sessions on AI – AI for Good and The GenAI Wave: Navigating Between Hype and Reality. In this article, we will explore real-world applications of Gen AI, best practices for implementation, and strategies for leveraging this technology to drive tangible business value.

Using AWS Data Lake and S3 With SQL Server: A Detailed Guide With Research Paper Dataset Example

Aggregated on: 2024-06-07 23:35:59

The integration of AWS Data Lake and Amazon S3 with SQL Server provides the ability to store data at any scale and leverage advanced analytics capabilities. This comprehensive guide will walk you through the process of setting up this integration, using a research paper dataset as a practical example. What Is a Data Lake? A data lake serves as a centralized repository for storing both structured and unstructured data, regardless of its size. It empowers users to perform a wide range of analytics, including visualizations, big data processing, real-time analytics, and machine learning.

When Should You Use Distributed PostgreSQL for Gen AI Apps?

Aggregated on: 2024-06-07 22:50:59

Postgres continues to evolve the database landscape beyond traditional relational database use cases. Its rich ecosystem of extensions and derived solutions has made Postgres a formidable force, especially in areas such as time-series and geospatial, and most recently, gen(erative) AI workloads. Pgvector has become a foundational extension for gen AI apps that want to use Postgres as a vector database. In brief, pgvector adds a new data type, operators, and index types to work with vectorized data (embeddings) in Postgres. This allows you to use the database for similarity searches over embeddings.

Comprehensive Guide to Data Analysis and Visualization With Pandas and Matplotlib

Aggregated on: 2024-06-07 21:50:59

Data analysis and visualization are fundamental skills in the realm of data science. Python, a versatile programming language, offers robust libraries like Pandas and Matplotlib to facilitate these tasks. Pandas provides powerful data manipulation capabilities, while Matplotlib is excellent for creating a wide range of visualizations. This tutorial will walk you through the process of analyzing a dataset and creating insightful visualizations using these libraries. By the end of this tutorial, you will be equipped with the knowledge to handle data more effectively and present your findings visually. Data Preparation The first step in any data analysis project is to prepare the data. Data preparation involves collecting, cleaning, and organizing data into a structured format. We'll start by importing the necessary libraries and creating a sample dataset that includes information on various products, their sales, and profit figures.

The Role of Data Engineering in Building Scalable AI Systems

Aggregated on: 2024-06-07 20:50:59

Data is the new oil. It’s valuable, but if unrefined it cannot be used. It has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable activity; so data must be broken down and analyzed for it to have value. — Clive Humby, 2006 One of the most clichéd yet true phrases is that technology changes every day and impacts everything. Artificial intelligence is one of the most prominent disciplines bringing disruptions to every industry around the world. With computing technology being upgraded and improved yearly, artificial intelligence (AI) technology is ushering in a new era of innovation across various industries. From healthcare and wellness to finance and manufacturing, AI-powered solutions are transforming the norm of how businesses operate, offer insights, and make well-informed decisions like never before. However, to be effective on a global scale, AI requires a massive amount of data to learn from and be trained on. Therefore, a robust foundation of data engineering is essential for every successful AI application.

Handling Alerts and Popups in Appium

Aggregated on: 2024-06-07 19:50:59

It is common for any mobile application to show alerts and popups. These alerts and popups prompt users to grant various permissions, like contacts, notifications, etc. However, they need to be handled when performing mobile application testing. Though there are many approaches to handling these interactions, choosing the right tool and technique is important to ensure a seamless mobile app testing experience. Handling alerts and popups in Appium is essential for achieving efficient test execution, enhanced test coverage, and more. In this Appium tutorial, let’s understand the different types of alerts and popups in Appium and how to handle them in our mobile automated tests.

Even More OpenTelemetry!

Aggregated on: 2024-06-07 19:05:59

I continue to work on my OpeneTelemetry demo. Its main idea is to showcase traces across various technology stacks, including asynchronous communication via an MQTT queue. This week, I added a couple of components and changed the architecture. Here are some noteworthy learnings; note that some of them might not be entirely connected to OpenTelemetry. Here's an updated diagram. New components appear in violet, and updated components appear in green.

How To Build a Simple GitHub Action To Deploy a Django Application to the Cloud

Aggregated on: 2024-06-07 17:05:59

Continuous integration and continuous delivery (CI/CD) capabilities are basic expectations for modern development teams who want fast feedback on their changes and rapid deployment to the cloud. In recent years, we’ve seen the growing adoption of GitHub Actions, a feature-rich CI/CD system that dovetails nicely with cloud hosting platforms such as Heroku. In this article, we’ll demonstrate the power of these tools used in combination — specifically how GitHub Actions can be used to quickly deploy a Django application to the cloud. A Quick Introduction to Django Django is a Python web application framework that’s been around since the early 2000s. It follows a model-view-controller (MVC) architecture and is known as the “batteries-included” web framework for Python. That’s because it has lots of capabilities, including a strong object-relational mapping (ORM) for abstracting database operations and models. It also has a rich templating system with many object-oriented design features.

Getting Started With AI Functions

Aggregated on: 2024-06-07 17:05:59

This past week we went "all-in" on AI functions. An AI function is the ability to create AI assistant logic, allowing the chatbot to "do things," instead of just passively generating text. To understand the power of such functions you can read some of our previous articles about the subject.

Embracing Responsible AI: Principles and Practices

Aggregated on: 2024-06-07 15:50:59

Today we use AI to offer simpler solutions to intricate problems in various sectors such as education, transportation, finance, and healthcare. Due to this reason, it is very important to adhere to best practices and standards. Adhering to AI principles is not a matter of ethics but is essential for establishing trust promoting fairness and ensuring the advancement of AI technologies. These guiding principles are crafted to instill confidence, mitigate risks, and ensure that AI contributes positively to society while respecting rights and ethical values. Microsoft Responsible AI Guidelines Ethical artificial intelligence encompasses creating, implementing, and overseeing AI systems in a responsible way. The goal is to optimize the benefits of intelligence while mitigating risks and negative impacts. Here are key reasons why embracing AI practices is paramount and Microsoft Identified the six principles below.

ChatGPT: Your Guide to SQL Query Translation Between Databases

Aggregated on: 2024-06-07 14:50:59

Everyone knows that ChatGPT is perfect for translating between many human languages. But did you know that this language model can also convert SQL queries between various database dialects? Whether you are transitioning from MySQL to PostgreSQL, SQL Server to Oracle, or any other combination, ChatGPT can assist in accurately translating your SQL queries. This capability extends beyond simple syntax changes, providing insights into how database systems handle data types, functions, and constraints. By leveraging ChatGPT for SQL translation, you can ensure a smoother and more efficient transition between database systems, maintaining data integrity and query performance.

Takeaways From Day 2 of the Snowflake Summit 2024

Aggregated on: 2024-06-07 13:05:59

Snowflake Data Cloud Summit 2024 has taken the data world by storm, showcasing groundbreaking innovations that empower enterprises to harness the power of AI and drive unparalleled value from their data. From advancements in Snowflake Cortex AI and Snowflake ML to enhanced data collaboration and developer tools, the event has set the stage for a new era of enterprise AI. Strengthening the Data Foundation During the Product Keynote, Christian Kleinerman, SVP of Product at Snowflake, emphasized the importance of strengthening the data foundation. "Our single goal with the Snowflake AI Data Cloud is to help you get more value out of your data and help you achieve the goals for your company faster, better, and, of course, leverage trends like artificial intelligence," Kleinerman stated.

Why Is Kubernetes Debugging So Problematic?

Aggregated on: 2024-06-06 23:50:57

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. The Problem With Kubernetes Video

GenAI-Powered Automation and Angular

Aggregated on: 2024-06-06 22:35:57

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.

Techniques for Chaos Testing Your Redis Cluster

Aggregated on: 2024-06-06 21:35:57

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. Set Up Create a Redis cluster

Machine Learning With Python: Data Preprocessing Techniques

Aggregated on: 2024-06-06 20:35:57

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 qualities that can be imparted to a computer using machine learning as part of the field of artificial intelligence are presented in the table below. Human Quality

Building a Tool To Generate Text With OpenAI’s GPT-4 Model

Aggregated on: 2024-06-06 19:35:57

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:

Mocking Dependencies and AI Is the Next Frontier in Vue.js Testing

Aggregated on: 2024-06-06 18:50:57

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.

Heroku for ChatOps: Start and Monitor Deployments From Slack

Aggregated on: 2024-06-06 17:35:57

In our last two articles, we explored how to configure CI/CD for Heroku using Heroku pipelines. When viewing a pipeline within the Heroku dashboard, you can easily start a deployment or promote your code from one environment to the next with the click of a button. From the dashboard, you can monitor the deployment and view its progress. This all works really well, assuming that you have Heroku open in your browser. But, what if you wanted to do it all from Slack?