News Aggregator

How To Pass the Certified Kubernetes Application Developer Examination

Aggregated on: 2024-01-31 12:02:00

The Certified Kubernetes Application Developer (CKAD) exam is a well-known credential for Kubernetes professionals. Kubernetes, an open-source container orchestration technology, is widely used for containerized application deployment and management. The CKAD certification validates your knowledge of designing, creating, configuring, and exposing Kubernetes cloud-native applications. We’ll walk you through the CKAD test in this post, including advice, resources, and a study plan to help you succeed. Understanding the CKAD Exam Before we dive into the preparation process, it’s essential to understand the CKAD exam format and content. The CKAD exam assesses your practical skills in the following areas:

A Guide to Vector Embeddings for Product and Software Engineers

Aggregated on: 2024-01-30 21:32:00

Vector embeddings are a powerful tool in artificial intelligence. They are mathematical (numerical) representations of words or phrases in a vector space. Usually processed by embedding models, these vector representations capture semantic relationships between words, allowing algorithms to understand the context and meaning of text. By analyzing the context in which a word appears, embeddings can capture its meaning and semantic relationships with other words. Sample vector embeddings for a simple text. The Role of Embeddings and Vector Stores/Databases in Modern Applications Embeddings are crucial for modern applications like recommendation systems, search engines, and natural language processing. They help understand user preferences, match search queries with relevant documents, and improve the accuracy of language-related tasks.

Rethinking Data Governance: Metrics for Meaningful Outcomes

Aggregated on: 2024-01-30 19:47:00

For years, data governance has been obsessed with a metric that feels more like accounting than strategic decision-making: coverage. Data Governance tool vendors educated a generation of governance professionals to diligently track the percentage of documented data, chasing a completion checkbox that often misses the bigger picture. The problem? Coverage misses the mark. It assumes that meticulously documented data automatically translates to understandable, usable information. But what if the end user just needs an answer to a question? Why make them navigate a labyrinth of tables, columns and descriptions when the goal is simply to get the right information, quickly and efficiently?

Outsourced Software Development Team: 6 Key Practices for Efficiency

Aggregated on: 2024-01-30 19:47:00

Most of you will agree if I say software development is a process or a journey, not a task that will end by hiring the best software development team. Infect it starts from there. After hiring a team of software developers, continued monitoring and communication are crucial. You can never sit back and wait for your software to be delivered; it's a terrible idea if you do so. In short, you must take certain actions to guarantee the efficiency and productivity of your software developers. According to research, around 37% of IT projects fail because of senior management's lack of involvement or monitoring. It's clear that lack of coordination with your software developers may lead you to be part of this 37%, and we don't want that, so we are here with this article in which we will get you covered with six best practices to ensure your software developers work efficiently. These practices will help you ensure your software developers meet your requirements.

LLM Integration Unleashed: Elevating Efficiency and Cutting Costs With Semantic Cache Brilliance

Aggregated on: 2024-01-30 19:32:00

In the era of digital transformation, Large Language Models (LLMs) like GPT-4 have become a cornerstone in enhancing business operations and customer interactions. However, the integration of these advanced generative AI technologies presents unique challenges, especially for small and medium-sized enterprises (SMEs) and large corporations. For SMEs, the cost associated with LLM token usage can be a significant barrier, whereas large enterprises often grapple with response times from LLMs, impacting operational efficiency. The Challenge: Cost and Efficiency in LLM Utilization The utilization of LLMs in business processes, such as internal content generation or customer service, typically involves repetitive queries. Consider an organization employing an LLM with a Retrieval-Augmented Generation (RAG) model, primarily focusing on internal content rather than internet-sourced information. In such cases, a large portion of inquiries are repeated, leading to unnecessary costs for LLM tokens and delays due to response times, especially when the LLM has already processed and answered these queries.

Device and Data Security in Embedded Systems

Aggregated on: 2024-01-30 18:47:00

Embedded systems are at the core of our modern-age technology, powering everything from smart electronic devices to connected applications. These systems have become crucial in various industries enabling advanced applications. However, the security of these devices has become a major concern when it comes to keeping them safe and secure from malicious attacks. We have seen a massive rise in malicious attacks in the past few years. To keep these devices safe embedded system security is critical. In recent years, the size of the embedded security market has marked an estimated value of USD 7.4 billion in 2023. The projection of the embedded systems is expected to reach USD 9.8 billion by 2028 with a growing Compound Annual Growth Rate (CAGR) of 5.7% in the span of 2023 to 2028, as stated by Markets and Markets. As we go into the details of device and data security concerns in embedded systems and devices, we will look at the intricate challenges and security considerations of embedded devices to protect them from various malicious attacks.

Playwright Selectors and Locators: Everything You Need To Know

Aggregated on: 2024-01-30 18:32:00

Playwright is a powerful test automation framework that allows users to control web applications and conduct end-to-end test automation. In this article, we will try to cover complete functionality and the implementation of playwright selectors and locators. Selectors act as a crucial component of the playwright framework. It helps automated tests to interact with web applications, like validating if that element exists on the web page or not, clicking on the available options, and providing inputs by typing or reading text. Playwrights come with multiple types of selectors and a good set of methods using which we can perform actions on selected elements.

The Next Major Shift in Enterprise Software Engineering: From Platforms to “Platformless”

Aggregated on: 2024-01-30 18:32:00

The evolution of enterprise software engineering has been marked by a series of "less" shifts — from client-server to web and mobile ("client-less"), data center to cloud ("data-center-less"), and app server to serverless. These transitions have simplified aspects of software engineering, including deployment and operation, allowing users to focus less on the underlying systems and more on the application itself. This trend of radical simplification now leads us to the next significant shift in enterprise software engineering: moving from platforms to a "platformless" approach.

GenAI Exposes Enterprise Sustainability Hypocrisy

Aggregated on: 2024-01-30 17:32:00

Last year, I met with the head of sustainability at a large software vendor. He was touting his company’s commitment to becoming carbon net-zero by 2030 – balancing its responsibility for the production of greenhouse gases with an equal commitment to the removal of such gases (mainly carbon dioxide, or CO2) from the atmosphere. Many companies – both software vendors as well as a broad spectrum of organizations across industries – have a similar promise.

NFT Wallets Unleashed: A Data Structures and Application Design Journey

Aggregated on: 2024-01-30 17:17:00

Whether or not you’re caught up in the NFT hype, as a software engineer, staying abreast of recent innovations is crucial. It’s always fascinating to delve into the technologies underpinning such trendy features. Typically, I prefer to let the dust settle before jumping in, but now seems like a good time to explore “what NFTs are all about.” Terminology NFT stands for Non-fungible tokens. Non-fungible tokens are tokens based on a blockchain that represent ownership of a digital asset. Digital asset may be anything, from a hand-crafted image, a song, a music, a blog post or entire digital book, or even a single tweet (which is, basically, a publicly available record from a database of the well-known public company). These assets have public value and can be owned by someone.

DTrace Revisited: Advanced Debugging Techniques

Aggregated on: 2024-01-30 16:47:00

When we think of debugging, we think of breakpoints in IDEs, stepping over, inspecting variables, etc. However, there are instances where stepping outside the conventional confines of an IDE becomes essential to track and resolve complex issues. This is where tools like DTrace come into play, offering a more nuanced and powerful approach to debugging than traditional methods. This blog post delves into the intricacies of DTrace, an innovative tool that has reshaped the landscape of debugging and system analysis. DTrace Overview DTrace was first introduced by Sun Microsystems in 2004, DTrace quickly garnered attention for its groundbreaking approach to dynamic system tracing. Originally developed for Solaris, it has since been ported to various platforms, including MacOS, Windows, and Linux. DTrace stands out as a dynamic tracing framework that enables deep inspection of live systems – from operating systems to running applications. Its capacity to provide real-time insights into system and application behavior without significant performance degradation marks it as a revolutionary tool in the domain of system diagnostics and debugging.

How To Implement Java Microservices Architecture

Aggregated on: 2024-01-30 16:47:00

Implementing a microservices architecture in Java is a strategic decision that can have significant benefits for your application, such as improved scalability, flexibility, and maintainability. Here's a guide to help you embark on this journey. Understand the Basics Before diving into the implementation, it's crucial to understand what microservices are. Microservices architecture is a method of developing software systems that focuses on building single-function modules with well-defined interfaces and operations. These modules, or microservices, are independently deployable and scalable.

Why You Might Need To Know Algorithms as a Mobile Developer: Emoji Example

Aggregated on: 2024-01-30 16:32:00

There is an infinite discussion about the topic of knowing algorithms and data structures for a frontend (in my case, mobile) developer needed only to pass technical interviews in large tech companies, or if there is some benefit of using it in daily work. I think the truth is somewhere in between, as always. Of course, you rarely find a case when you need to implement a min heap or use dynamic programming approaches while working on UI and business logic for a service with a REST API, but having a basic understanding of performance, time, and memory complexity can help make small, simple optimizations in the app that can pay off a lot in the long run. I want to give an example of such a small optimization and decision-making process that can help us decide whether the extra effort is worth it or not.

DORA Metrics in DevOps

Aggregated on: 2024-01-30 16:32:00

DevOps Research and Assessment (DORA) is a research group in Google Cloud. They conduct a long-running research program trying to assess and understand the velocity and reliability of the software development process. They try to capture what makes teams move fast, how to measure these KPIs automatically, and finally, how to improve based on the captured data. DORA wrote a famous article in 2020 titled Are you an Elite DevOps performer? Find out with the Four Keys Project. They defined two broad areas — velocity and stability — to measure four important metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service (also known as mean time to recover). These four metrics are now known as DORA Metrics or DORA Four Keys. Even though they later added a fifth metric — reliability, we still start on the four original metrics to assess the performance.

Develop Amazon Lex Chatbot

Aggregated on: 2024-01-30 16:02:00

Creating a chatbot used to be a difficult task, but not anymore. Thanks to low-code, no-code platforms, you can build a bot without having to learn any programming language. There are many bot platforms that help you create a chatbot from scratch, and one of them is Amazon Lex. Amazon Lex is part of AWS and is used by many leading companies around the world. Amazon Lex is a fully managed service that lets you build conversational interfaces for any application using voice and text. It offers deep learning features such as:

Empowering IT Infrastructure Management With CMDB

Aggregated on: 2024-01-30 15:32:00

In the fast-paced realm of Information Technology (IT), organizations grapple with the challenges of maintaining complex and dynamic IT infrastructures. The Configuration Management Database (CMDB) has emerged as a powerful solution, revolutionizing the way businesses manage and optimize their IT environments. This article explores the role of CMDB in empowering IT infrastructure management, enhancing operational efficiency, and fostering strategic decision-making. Understanding the Essence of CMDB A Configuration Management Database (CMDB) is a centralized repository that stores information about configuration items (CIs) in an IT environment. These CIs include hardware, software, network devices, and other elements critical to an organization's IT operations. The primary objective of a CMDB is to provide a comprehensive and dynamic view of the entire IT landscape, ensuring accurate, up-to-date, and interconnected data.

Advanced and Dynamic Searching With Spring Data JPA

Aggregated on: 2024-01-30 14:47:00

I have often been asked to develop advanced search services. By advanced search, I mean searches in which it’s possible to apply multiple filters on all (or almost all) fields such as like, between, in, greater than, etc. So imagine having to build a service based on one or more entities capable of offering an endpoint that can be called like this (start keeping an eye out for special suffixes <propertyName><_suffix>):

How To Publish and Install DotNet SDK With NuGet

Aggregated on: 2024-01-30 14:32:00

A package manager is a tool that automatically installs, updates, and uninstalls distributions of software based on a central installation large database. With a package manager, users do not have to download an application installer manually. There are numerous package managers for various programming languages and platforms like Maven, npm, pip, apt-get Yum, and many more. In this post, we shall look at how to publish and install packages with NuGet. What Is NuGet? NuGet is a package manager for the Microsoft development platform. Users can access NuGet through the command line tool, Visual Studio, or Package Explorer.

How We Achieved a 40x Performance Boost in Metadata Backup and Recovery

Aggregated on: 2024-01-30 14:32:00

JuiceFS achieved a 40x performance boost in metadata backup and recovery through optimizations from v0.15.2 to v1.0 RC2. Key optimizations focused on reducing data processing granularity, minimizing I/O operations, and analyzing time bottlenecks. The overall improvements resulted in a 2300% reduction in dump process runtime and a 4200% decrease in memory usage, while the load process achieved a 230% runtime reduction and a 330% decrease in memory usage. As an open-source cloud-native distributed file system, JuiceFS supports various metadata storage engines, each with its unique data management format. To facilitate management, JuiceFS introduced the dump command in version 0.15.2, allowing the uniform formatting of all metadata into a JSON file for backup. Additionally, the load command enables the restoration or migration of backups to any metadata storage engine. For details on these commands, see Command Reference. The basic usage is as follows:

AI for Web Devs: AI Image Generation

Aggregated on: 2024-01-30 13:32:00

Welcome back to this series, where we are learning how to integrate AI products into web applications. Intro & Setup Your First AI Prompt Streaming Responses How Does AI Work Prompt Engineering AI-Generated Images Security & Reliability Deploying In this post, we are going to use AI to generate images. Before we get to that, let’s add a dialog component to our app. This is a modal-like pop-up designed to show content and be dismissed with the mouse or keyboard.

Why Can’t I Find the Right Data?

Aggregated on: 2024-01-30 13:02:00

The modern data stack has helped democratize the creation, processing, and analysis of data across organizations. However, it has also led to a new set of challenges thanks to the decentralization of the data stack. In this post, we’ll discuss one of the cornerstones of the modern data stack—data catalogs—and why they fall short of overcoming the fragmentation to deliver a fully self-served data discovery experience. If you are the leader of the data team at a company with 200+ employees, there is a high probability that you have.

Clean Data, Clear Insights: How Web Data Cleaning Elevates Decision-Making

Aggregated on: 2024-01-30 12:47:00

All data-driven businesses that build products or generate insights using external data know that working with incomplete or inaccurate information leads to unreliable results. Buying data that has already gone through some data cleaning saves time but comes with challenges. In this article, I'll discuss why web data cleaning differs from cleaning other types of data and share some tips for businesses based on my experience in the web data industry.

Bringing Order to Chaos: How CloudFabrix Streamlines Work for Technology Professionals

Aggregated on: 2024-01-30 12:32:00

Technology professionals today face an increasingly complex landscape filled with siloed tools, mountains of noisy data, and constant incidents. CloudFabrix offers a way to cut through the chaos with an integrated platform that connects disparate systems, provides unified insights, and automates routine tasks. The Challenges: Tool Sprawl and Alert Overload In a presentation at the 53rd IT Press Tour, the CloudFabrix team outlined some stark statistics around the tool sprawl and data overload facing most IT teams:

Successful Products Using Raspberry Pi Computing Model

Aggregated on: 2024-01-30 12:32:00

The Raspberry Pi, a flexible and low-cost single-board computer, has fostered innovation across several sectors. It was originally intended for educational and hobbyist projects but has now made its way into a slew of successful commercial goods. In this post, we will look at some of the astonishing devices that have taken use of Raspberry Pi’s capability, proving its versatility and robustness. Raspberry Pi: A Brief Overview Before we delve into the successful products, let’s provide a brief overview of the Raspberry Pi and its key features.

Understanding Python's dataclass Decorator

Aggregated on: 2024-01-29 22:31:59

@dataclass is a decorator which is part of the Python dataclasses module. When the @dataclass decorator is used, it automatically generates special methods such as: _ _ init _ _.: Constructor to initialize fields _ _ repr _ _ : String representation of the object _ _ eq _ _ : Equality comparison between objects _ _ hash_ _ : Enables use as dictionary keys (if values are hashable) Along with the methods listed above, the @dataclass decorator has two important attributes.

Edge Security for IoT: Protecting Data at the Edge

Aggregated on: 2024-01-29 20:31:59

The Internet of Things (IoT) has rapidly expanded the landscape of connected devices, revolutionizing industries ranging from healthcare to manufacturing. However, as the number of IoT devices continues to grow, so do the security challenges. One crucial aspect of IoT security is edge security, which involves safeguarding data and devices at the edge of the network where IoT devices operate. This article will delve into the unique security considerations and strategies for protecting IoT data and devices at the edge, including encryption, access control, and threat detection. Unique Security Considerations at the Edge Resource Constraints: IoT edge devices often have limited computational power and memory. Therefore, traditional security measures used in data centers or cloud environments may not be feasible. Security solutions at the edge must be lightweight and efficient. Physical Vulnerability: Edge devices are often deployed in physically accessible locations, making them vulnerable to physical attacks. Protecting these devices from tampering is a critical aspect of edge security. Intermittent Connectivity: Many IoT edge devices operate in environments with intermittent or low-bandwidth connectivity. This can hinder the timely delivery of security updates and patches. Edge security solutions must accommodate these connectivity challenges. Strategies for Edge Security Data Encryption: To protect data at the edge, encryption is paramount. Data should be encrypted both in transit and at rest. Lightweight encryption algorithms optimized for IoT devices, such as AES-CCM or ChaCha20-Poly1305, should be employed to minimize computational overhead. Access Control: Implementing robust access control mechanisms ensures that only authorized entities can interact with IoT edge devices. Role-based access control (RBAC) and attribute-based access control (ABAC) can be adapted to suit the unique requirements of IoT. Secure Boot and Firmware Signing: Protecting the integrity of edge device firmware is crucial. Utilize secure boot processes and code signing to ensure that only authenticated and unaltered firmware is executed on IoT devices. Physical Tamper Resistance: Deploy IoT devices in tamper-resistant enclosures and implement tamper detection mechanisms. If physical tampering is detected, devices can be programmed to initiate a secure wipe or report the breach. Edge Firewall: Employ an edge firewall to filter incoming and outgoing traffic. It acts as a barrier between the IoT devices and the network, blocking malicious traffic and preventing unauthorized access. Intrusion Detection and Prevention: Implement intrusion detection systems (IDS) and intrusion prevention systems (IPS) at the edge. These systems monitor network traffic and device behavior, identifying and mitigating potential threats. Device Authentication: Use strong authentication mechanisms for device-to-device and device-to-cloud communication. Techniques like mutual authentication and the use of device certificates enhance the security of these interactions. Edge-to-Cloud Encryption: When transmitting data from the edge to the cloud, employ end-to-end encryption to protect against eavesdropping. Transport Layer Security (TLS) and Datagram Transport Layer Security (DTLS) are commonly used for secure communication. Security Updates and Patch Management: Develop a robust strategy for delivering security updates and patches to edge devices, even in low-bandwidth or intermittent connectivity scenarios. Over-the-air (OTA) updates can be a valuable tool. Edge Security Use Cases in IoT Here are some use cases that illustrate the importance of edge security in IoT and how it can be applied to protect data and devices at the edge:

Lost in Translation: Gaps of GPT-3.5 in South Asian and Middle Eastern Languages

Aggregated on: 2024-01-29 19:46:59

Large language models have made remarkable advancements in recent years. However, much of this progress has centered on English language tasks, with less attention to non-English languages. It is a missed opportunity as these languages represent some of the fastest-growing economies. In our analysis of the capabilities of GPT-3.5 on non-English prompts, specifically South Asian and Middle Eastern languages, we uncovered disparities. While performance on English language prompts continues to impress, responses to prompts in other languages surface grammatical errors, inappropriate tone, and factual inaccuracies. Our study shows that LLMs (GPT-3.5) are 2x slower if the prompt is not in English. Also, the quality of response degrades compared to instruction-following performance in English. As large language models move towards broader multilingual availability, these deficiencies demand urgent attention to support business expansion worldwide and capture more significant customer adoption.

Strategies and Guidance for Effective Cloud Management and Cost Optimization

Aggregated on: 2024-01-29 19:31:59

Embarking on a cloud migration journey promises unparalleled advantages, from increased flexibility to heightened security. However, to truly unlock the potential benefits and ensure a streamlined transition, organizations must navigate the complexities of cloud management and cost optimization. This guide offers comprehensive strategies to not only reduce operational expenses but also enhance overall efficiency. Whether you're contemplating a move to the cloud or seeking ways to optimize your existing cloud infrastructure, these strategies will serve as a roadmap for successful cloud adoption and ongoing cost-effectiveness. The decision to adopt cloud services and migrate is driven by a multitude of benefits:

O11y Guide, Cloud Native Observability Pitfalls: Controlling Costs

Aggregated on: 2024-01-29 19:16:59

Are you looking at your organization's efforts to enter or expand into the cloud-native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud-native observability? When you're moving so fast with Agile practices across your DevOps, SREs, and platform engineering teams, it's no wonder this can seem a bit confusing. Unfortunately, the choices being made have a great impact on both your business, your budgets, and the ultimate success of your cloud-native initiatives that hasty decisions upfront lead to big headaches very quickly down the road. In the previous introduction, we looked at the problem facing everyone with cloud-native observability. It was the first article in this series. In this article, you'll find the first pitfall discussion that's another common mistake organizations make. By sharing common pitfalls in this series, the hope is that we can learn from them.

Data Governance and DevOps

Aggregated on: 2024-01-29 19:16:59

In the age of information, "data is treasure." With trillions of datasets encapsulating the world, data is fragile. Safeguarding data is imperative, and data governance ensures data is managed, safe, and in compliance. Data Governance Data governance overlooks data. It lists down processes that set policies, ensure availability, security, integrity, and schedule performance metrics. Data governance is crucial as it lays down the foundation that supervises and administers data. The heart of data governance is “Data Policy and Compliance.”

Bolstering Quality Engineering With No-Code and Low-Code Testing

Aggregated on: 2024-01-29 18:46:59

With more and more apps on the market —seven million apps are currently available across iOS and Android platforms alone — many software development teams are looking for solutions to help build high-quality and high-performing products quickly and easily. The answer? A quality engineering approach backed by no-code and low-code tools. With a constantly changing, complex, and connected digital landscape of apps, environments, data, and processes, quality engineering focuses on building quality into the software development lifecycle. This includes a robust and comprehensive testing strategy that empowers businesses to build applications quickly while reducing risk and optimizing productivity.

Empowering Inclusivity: Utilizing Edge ML to Support Individuals With Special Needs

Aggregated on: 2024-01-29 18:46:59

Technological advancement has brought new solutions for people with special needs. Edge Machine Learning (Edge ML) is a pioneering technology that positions machine learning algorithms closer to the data source, which reduces latency and improves real-time processing capabilities. This article discusses the potential of Edge ML in addressing the unique challenges faced by individuals with special needs. It sheds light on how Edge ML can foster a more supportive and inclusive environment. The article examines various considerations, challenges, and potential improvements shaping the evolution of a unified Edge ML model. The model focuses on two tasks: detecting bullying and providing calming support.

Shaping the Future: Key Trends Transforming Mobile Apps

Aggregated on: 2024-01-29 18:31:59

The mobile app development landscape has always been marked by swift technological progress and evolving user demands. Think back to just 15 or 20 years ago – the era of mobile apps was in its infancy, with applications being straightforward and mostly isolated tools. Today, thanks to the advent of smartphones, complex mobile apps are integral parts of our lives, while the functionality, user experience, and integration capabilities of apps have become imperative. And this process is in no way over; mobile apps keep undergoing transformational changes. Today’s cutting-edge frontiers – integration of AI, augmented reality, and virtual reality – promise previously inconceivable experiences. This leap forward has been boosted by technologies like 5G, allowing for more complex and immersive functions by way of enhanced connectivity and speed. These advancements have significantly raised user expectations, calling for a more sophisticated and thoughtful approach to app creation.

Five Ways Your CI/CD Tools Can Be Exploited

Aggregated on: 2024-01-29 17:46:59

We've talked about how Continuous Integration and Continuous Delivery (CI/CD) tools can be a source of secrets sprawl. While it's not as insecure as leaving them lying around in a publicly accessible file, CI/CD pipelines can be exploited in a number of ways, and I'm going to share a few with you. This article is not exhaustive. GitHub's Security Hardening Guide for GitHub Actions alone is 16 pages long if you try to print it. OWASP's Top 10 CI/CD Security Risks is 38 pages long. Protecting your CI/CD systems is not a trivial task, but it's an important one. To get you started, here's a quick read on five ways attackers can leverage your CI/CD to gain access to additional systems.

Test Automation Guilds: Advancing Excellence in Testing

Aggregated on: 2024-01-29 17:46:59

Have you ever found yourself in the position of a test engineer embedded in one of the Agile engineering teams? While you have daily interactions with peers, connecting with them on a profound level for the successful execution of job duties might be challenging. Although there is a shared goal to release features successfully, we often experience isolation, especially while others, like developers, find comfort within the team. In the realm of dispersed Agile teams with time zones adding an extra layer of complexity, the longing for a team to resonate with, connect with, and brainstorm on all test automation challenges is prevalent. In the expansive landscape of test automation, the creation of an automation guild is more than just collaboration; it stands as a testament to the resilience of SDETs working across diverse time zones and Agile teams. Through this guide, I aim to share the benefits and challenges overcome, the enrichment of test engineers or SDETs, and the establishment of a collective force dedicated to advancing excellence in testing.

Simplify Big Data Analytics With AirMettle

Aggregated on: 2024-01-29 17:31:59

Big data analytics continues to grow in importance, but working with massive datasets poses challenges. Moving petabytes of data repeatedly for analysis strains networks and budgets. Even then, irrelevant data can overwhelm analytics platforms, generating more expense without additional insight. We met with AirMettle during the 53rd IT Press Tour. It offers a new approach, integrating analytics into the data lake itself. Their software runs on commodity hardware, delivering faster insights without the overhead of traditional data warehouses. Key features help developers simplify big data analytics:

Developing With Dragonfly: Solve Caching Problems

Aggregated on: 2024-01-29 17:31:59

In our previous blog post within the Developing with Dragonfly series, we delved into one of the simplest caching patterns known as Cache-Aside. It's a straightforward approach to caching that's relatively easy to implement. However, as we'll explore in this blog post, it can also uncover some common issues that may have significant consequences for your services. We'll shine a light on the three major problems in cache management and share best practices to steer clear of them. It's important to note that these caching problems are not unique to Dragonfly. Even with Dragonfly's exceptional efficiency and performance, these challenges persist across various caching solutions. Dragonfly is protocol and command compatible with Redis, which means it's readily available for integration into your backend services at no development cost. By addressing these caching problems and harnessing Dragonfly's advantages, we aim to help you smoothly transition to Dragonfly and achieve greater success in your caching infrastructure.

MongoDB and PostgreSQL Support for NestJS Boilerplate

Aggregated on: 2024-01-29 17:16:59

We created the NestJS boilerplate in August 2020, and since then, we have worked on its optimization and improvements. NestJS boilerplate is a project that contains all necessary libraries and solutions like auth, mailing, etc., for fast-starting your project using a classic REST API approach. Right now, this boilerplate has 1.8K stars on GitHub and has recognition and support from the developer community. Recently, we also published our new frontend boilerplate on React, which is excellently compatible with the backend implementation, so please check it out. Motivation To Include Mongo Support PostgreSQL support was originally included in the boilerplate because of its reliability, data integrity, and active community. But for projects that require high speed of working with large data sets and high scalability, MongoDB is usually a better choice. So, we wanted to integrate MongoDB support into our project. Also, we’ve got a number of requests to include NoSQL DB support from the community members and coworkers who use this boilerplate.

Spring Application Listeners

Aggregated on: 2024-01-29 17:16:59

I've recently faced a problem when disabling application listeners created using org.springframework.context.event.EventListener annotation for org.springframework.context.event.ContextRefreshedEvent event in unit tests. I found several decisions and decided to share them. Quick Guide To Spring Application Listeners First of all, here are some words about key objects that Spring uses when handling application events.

Community Hardware Used in Cloud Computing

Aggregated on: 2024-01-29 16:47:02

While cloud computing frequently focuses on software solutions, the hardware that supports these cloud environments is as important. Community-driven hardware initiatives have played an important role in creating the cloud computing ecosystem. In this detailed post, we will look at the numerous community hardware components utilized in cloud computing and how they help the progress of the business. Understanding Cloud Hardware Before we enter into the area of community hardware in cloud computing, let’s first take a close look at the hardware parts of cloud computing and their relevance.

Regular Expressions 101

Aggregated on: 2024-01-29 16:31:59

With regular expressions, you can describe the patterns that are similar to each other. For example, you have multiple <img> tags, and you want to move all these images to the images folder: HTML → → and so on" data-lang="text/html"> <img src="https://dzone.com9.png"> → <img src="https://dzone.comimages/9.png"> <img src="https://dzone.com10.png"> → <img src="https://dzone.comimages/10.png"> and so on

Artificial Intelligence in IT and Project Management

Aggregated on: 2024-01-29 16:31:59

This article aims to shed light on the pivotal role of IT programs and project managers in the age of Artificial Intelligence (AI) integration. It focuses on the challenges, opportunities, and strategic approaches necessary for successful AI adoption in technology programs and projects. By examining case studies from leading companies and identifying key trends, the article provides a roadmap for managers to navigate this transformative landscape. Introduction While the buzz around AI's capabilities continues to grow, there's a critical conversation missing in many tech circles: the profound impact AI will have on IT program and project management. This article uncovers the challenges and transformative changes AI brings to technology programs and projects, underscoring the indispensable role of program and project managers in this new era.

Optimizing Data Management: Migrating From AWS RDS MySQL to Snowflake

Aggregated on: 2024-01-29 16:16:59

If you're seeking a modern, innovative, and scalable approach to managing your data operations, then the amalgamation of Amazon Web Services (AWS) Relational Database Service (RDS) for MySQL and Snowflake just might be the solution you've been searching for. AWS RDS for MySQL provides a robust platform for managing, scaling, and operating relational databases in the cloud. On the other hand, Snowflake, a cloud-based data warehousing platform, provides a flexible and efficient environment for data storage, processing, and analysis. Together, they can streamline your data operations in unprecedented ways. This article takes you on a journey from understanding AWS RDS for MySQL and Snowflake to implementing a seamless migration from MySQL to Snowflake. Overview: MySQL vs. Snowflake The MySQL vs. Snowflake debate is a popular one in the realm of data operations. MySQL, an open-source relational database management system (RDBMS), is renowned for its speed, reliability, and ease of use. However, it's not without its limitations, particularly when it comes to handling large volumes of data. Snowflake, a relatively new player in the field, offers a cloud-native data warehousing solution that overcomes MySQL's limitations. With its unique architecture, Snowflake allows for massive scalability, secure data sharing, and cost-effective storage, making it an attractive alternative for many businesses. Despite these differences, it's not about picking one over the other. It's about integrating the strengths of both. This is where the concept of migrating from MySQL to Snowflake comes into play. By transferring your data from MySQL to Snowflake, you can leverage the benefits of both platforms, thereby enhancing your data operations.

What To Expect For AI in 2024

Aggregated on: 2024-01-29 15:46:59

Twenty-twenty-three was a great year for AI. Large language models were already in the spotlight for both users and businesses. ChatGPT had been just released in late 2022 and was taking the world by storm. Still, 2023 has brought more rapid change in the field than we could have imagined. This last year, we got the newest version of OpenAI’s model, GPT-4. We also got a ton of open-source models competing with OpenAI, like LLaMa, Falcon, and Mistral. Google didn’t want to miss the party and stepped up its game, unveiling Gemini, the successor to Google’s earlier model, PaLM. Anthropic launched Claude, AI21 Labs launched Jurassic-2, and Amazon announced its Generative AI service, Bedrock, as well as its own LLM, Titan. Some LLMs gained a ton of new functionality by going multimodal, as well as embracing agents, which allow them to have up-to-date information and interact with the world around them. Also, regulators are beginning to catch up to the rapid evolution of this new technology. The United States of America passed an Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, and the European Union approved the EU AI Act, the first actual regulation on artificial intelligence.

API-First Design: A Modern Approach To Building Scalable and Flexible Software

Aggregated on: 2024-01-29 15:46:59

In the rapidly evolving world of software development, the adoption of the API-first design principle marks a significant shift in how applications are built and scaled. This methodology involves prioritizing the design and development of APIs (Application Programming Interfaces) at the outset, setting the stage for a more structured and efficient development process. This blog post delves into the concept of API-first design, outlining its benefits and practical applications and supplemented with illustrative examples. What Is API-First Design? API-first design is an approach where you prioritize the creation of APIs before the actual software development begins. It involves defining the way components interact with each other through well-designed interfaces.

Data Vault Data Model: An Efficient and Agile Approach for Data Warehousing

Aggregated on: 2024-01-29 15:31:59

In the dynamically evolving field of data warehousing, traditional approaches often face challenges when it comes to flexibility, scalability, and adaptability. The data vault data model offers a unique and robust solution to these challenges, making it an increasingly popular choice among organizations. The data vault data model is a design pattern that provides a structured and scalable foundation for building data warehouses. It is specifically designed to handle large volumes of data, offer agility in modeling changes, and ensure data integrity.

Exploring Mobile Device Lab: Pros and Cons

Aggregated on: 2024-01-29 15:31:59

In today’s digital landscape, people worldwide prefer accessing the internet on the go, using their smartphones. This is not surprising since mobiles are highly convenient for accessing websites and conducting online transactions, be it making payments, shopping from e-commerce sites, or buying flight tickets. As per Statista, in the first quarter of 2023, mobile devices generated nearly 58.33 percent of global website traffic. With mobiles becoming the most preferred device for accessing websites, users expect only top quality when it comes to the user experience. Hence, app developers are under pressure to ensure that their applications run smoothly across all types of mobile devices. However, guaranteeing that their applications function consistently across the countless devices and operating systems out there can be challenging and depends on the quality of the test infrastructure you leverage. This is where the importance of a high-quality mobile testing device lab comes into play.

Mitigating Bias in AI Through Continuous Monitoring and Validation

Aggregated on: 2024-01-29 15:16:59

The emergence of bias in artificial intelligence (AI) presents a significant challenge in the realm of algorithmic decision-making. AI models often mirror the data on which they are trained. It can unintentionally include existing societal biases, leading to unfair outcomes. To overcome this issue, continuous monitoring and validation emerge as critical processes which are essential for ensuring that AI models function ethically and impartially over time. Understanding Bias in AI Bias in AI is dynamic and evolving with societal shifts, trends, and application domains. This dynamic nature of bias needs an approach that continuously assesses and adjusts for it.

Search for Rail Defects (Part 3)

Aggregated on: 2024-01-29 14:46:59

To ensure the safety of rail traffic, non-destructive testing of rails is regularly carried out using various approaches and methods. One of the main approaches to determining the operational condition of railway rails is ultrasonic non-destructive testing. The assessment of the test results depends on the defectoscopist. The need to reduce the workload on humans and improve the efficiency of the process of analyzing ultrasonic testing data makes the task of creating an automated system relevant. The purpose of this work is to evaluate the possibility of creating an effective system for recognizing rail defects from ultrasonic inspection defectograms using ML methods. Domain Analysis The railway track consists of rail sections connected together by bolts and welded joints. When a defectoscope device equipped with generating piezoelectric transducers (PZTs) passes along the railway track, ultrasonic pulses are emitted into the rail at a predetermined frequency. The receiving PZTs then register the reflected waves. The detectability of defects by the ultrasonic method is based on the principle of reflection of waves from inhomogeneities in the metal since cracks, including other inhomogeneities, differ in their acoustic resistance from the rest of the metal.

Java Z Garbage Collector (ZGC): Revolutionizing Memory Management

Aggregated on: 2024-01-29 13:16:59

Z Garbage Collector (ZGC) is an innovative garbage collection algorithm introduced by Oracle in JDK 11. Its principal aim is to minimize application pause times on the Java Virtual Machine (JVM), making it particularly suitable for modern applications that necessitate low latency and high-throughput performance. ZGC adopts a generational approach to garbage collection, segmenting the heap into two generations: the Young Generation and the Old Generation (also referred to as the Mature Generation). The Young Generation is further divided into the Eden space and two survivor spaces. The Old Generation is where long-lived objects are eventually relocated.