News Aggregator

Problems With Nested CompletableFuture in Java

Aggregated on: 2024-02-26 15:42:08

CompletableFuture was introduced in Java 8 for executing things in an asynchronous way. This can help to prevent the main thread from waiting to complete the execution of a particular block of code that is not needed for the main thread execution. CompletableFuture uses threads from ForkJoinPool.commonPool() for its execution, if there is no custom executor passed as an argument. If the parallelism is less than two, then CompletableFuture creates a new thread for each asynchronous task submitted. ForkJoinPool.commonPool() will have the number of threads based on the java.util.concurrent.ForkJoinPool.common.parallelism property set.

Scrum Anti-Patterns GPT

Aggregated on: 2024-02-26 14:57:08

Can a Custom Scrum Anti-Patterns GPT align teams with Scrum principles? Dive into how leveraging custom GPTs might offer a novel path through Scrum’s common hurdles, focusing on creating actual customer value in the face of organizational and team-level challenges. The Idea of a Scrum GPT Exploring Scrum in the real world often uncovers a tangle of anti-patterns—those practices that, despite best intentions, stray from agile principles and hinder progress. From gold-plating projects with unnecessary features to misaligned incentives prioritizing output over outcome, these patterns can profoundly impact an organization’s agility and product value delivery.

Build a Flow Collectibles Portal Using Cadence (Part 2)

Aggregated on: 2024-02-26 14:12:08

Welcome to the final step in creating your Collectibles portal! (for part 1, see here). In this part, we'll focus on building the front end — the last piece of the puzzle. Here's what we'll achieve:

Real-Time Operating Systems (RTOS) in Embedded Systems

Aggregated on: 2024-02-26 13:12:08

Embedded systems have become an integral part of our daily lives, from smartphones and home appliances to medical devices and industrial machinery. These systems are designed to perform specific tasks efficiently, often in real-time, without the complexities of a general-purpose computer. Real-time operating systems (RTOS) play a crucial role in ensuring the reliability and predictability of embedded systems. The embedded software market is expected to grow by USD 6,739.66 million from 2023 to 2027 at a compound annual growth rate (CAGR) of 8%. The RTOS is expected to have the largest market, as per the statement by Technavio. In this article, we will explore the concept of embedded systems and the role of software development, examine what RTOS is, discuss its types, scrutinize its applications, and speculate on future trends. Understanding Embedded Systems Embedded systems are specialized computing systems dedicated to performing specific tasks. Unlike general-purpose computers, which run various applications and have a wide range of capabilities, embedded systems are designed to excel in a particular area. These systems are found in numerous applications, including automotive engine control units (ECUs), medical devices, consumer electronics, and industrial automation. They serve as the backbone for critical functions in these applications, ensuring precise control, real-time operation, and reliability. As technology advances, these applications require even greater optimization, and this is where the role of software development in enhancing embedded systems becomes essential.

Event-Driven Architecture for Software Development: Leverage the Strength of Reactive Systems

Aggregated on: 2024-02-26 13:12:08

As a software developer, tightly coupled, monolithic applications can make you feel bogged down. Enter Event-Driven Architecture (EDA), a promising addition to the world of software development. This paradigm is all about events: changes in your system that trigger actions in other parts, leading to reactive, loosely coupled, and highly responsive systems. Sound intriguing? Let's dive in and see how EDA can empower your development journey.

Web Application Security: The Ultimate Guide to Coding Best Practices

Aggregated on: 2024-02-26 12:57:08

Web applications have become deeply integrated into business operations and everyday life. However, this reliance also introduces major security risks if applications are not properly coded and configured. Implementing secure coding practices is, therefore, essential for any web application. Not only does this protect sensitive user data, but it also safeguards against legal liabilities and reputation damage if a breach does occur. This article outlines key principles and methods that will guide secure web application development, covering common threats, secure design considerations, proper input handling and output encoding, authentication and access controls, session management, and more. Additionally, it provides language-specific guidance for Java, .NET, PHP, Python, and JavaScript environments.

The Art of Ethical Hacking: Securing Systems in the Digital Age

Aggregated on: 2024-02-26 12:57:08

In today’s world, where everything is connected to the internet, cybersecurity is more significant than ever. Cyberattacks can cause serious damage to individuals, businesses, and governments by stealing data, disrupting services, or compromising systems. To prevent these attacks, we must understand how hackers think and operate and how to safeguard ourselves against them. This is where ethical hacking comes in. In this article, we will be discussing the art of ethical hacking and how it can help safeguard systems in the digital age. Ethical Hacking Ethical hacking can be portrayed as a controlled and authorized endeavor to exploit system vulnerabilities and identify flaws before malevolent actors may make use of them. Assessing a system, network, or application’s security posture is the principal objective. By taking a proactive stance, organizations can stop data breaches, financial losses, and reputational harm by spotting and fixing possible security vulnerabilities before they are utilized against them.

Exploring Text Generation With Python and GPT-4

Aggregated on: 2024-02-26 12:57:08

In the rapidly evolving landscape of artificial intelligence, text generation models have emerged as a cornerstone, revolutionizing how we interact with machine learning technologies. Among these models, GPT-4 stands out, showcasing an unprecedented ability to understand and generate human-like text. This article delves into the basics of text generation using GPT-4, providing Python code examples to guide beginners in creating their own AI-driven text generation applications. Understanding GPT-4 GPT-4, or Generative Pre-trained Transformer 4, represents the latest advancement in OpenAI's series of text generation models. It builds on the success of its predecessors by offering more depth and a nuanced understanding of context, making it capable of producing text that closely mimics human writing in various styles and formats.

Security Best Practices for Docker Images

Aggregated on: 2024-02-26 12:57:08

Docker images play a pivotal role in containerized application deployment. They encapsulate your application and its dependencies, ensuring consistent and efficient deployment across various environments. However, security is a paramount concern when working with Docker images. In this guide, we will explore security best practices for Docker images to help you create and maintain secure images for your containerized applications. 1. Introduction The Significance of Docker Images Docker images are at the core of containerization, offering a standardized approach to packaging applications and their dependencies. They allow developers to work in controlled environments and empower DevOps teams to deploy applications consistently across various platforms. However, the advantages of Docker images come with security challenges, making it essential to adopt best practices to protect your containerized applications.

Automating Efficiency: Setting Up Autoscaling in AWS RDS SQL Server Instances

Aggregated on: 2024-02-23 19:12:06

Automating tasks in cloud environments like Amazon Web Services (AWS) can significantly enhance efficiency, reduce manual workload, and ensure that operations run smoothly and reliably. When it comes to AWS Relational Database Service (RDS) for SQL Server, one valuable automation task is setting up auto-calling, which can automate various database operations such as backups, maintenance, and data processing. This article will guide you through the process of setting up auto-calling in an AWS RDS SQL Server instance, highlighting key considerations and steps to ensure successful implementation. Understanding AWS RDS and SQL Server AWS RDS is a managed relational database service that simplifies the setup, operation, and scaling of a relational database in the cloud. It provides cost-effective resizable capacity while automating arduous admin tasks such as hardware provisioning, database setup, patching, and backups. SQL Server on AWS RDS offers the same capabilities as on-premises SQL Server but with the added benefits of the cloud.

CRUDing NoSQL Data With Quarkus, Part One: MongoDB

Aggregated on: 2024-02-23 18:57:06

MongoDB is one of the most reliable and robust document-oriented NoSQL databases. It allows developers to provide feature-rich applications and services with various modern built-in functionalities, like machine learning, streaming, full-text search, etc. While not a classical relational database, MongoDB is nevertheless used by a wide range of different business sectors and its use cases cover all kinds of architecture scenarios and data types. Document-oriented databases are inherently different from traditional relational ones where data are stored in tables and a single entity might be spread across several such tables. In contrast, document databases store data in separate unrelated collections, which eliminates the intrinsic heaviness of the relational model. However, given that the real world's domain models are never so simplistic to consist of unrelated separate entities, document databases (including MongoDB) provide several ways to define multi-collection connections similar to the classical databases relationships, but much lighter, more economical, and more efficient.

How To Handle Optional Values in SwiftData Predicates

Aggregated on: 2024-02-23 18:12:06

SwiftData has revamped the mechanism for creating data models, incorporating a type-safe mode for predicate creation based on model code. As a result, developers encounter numerous operations involving optional values when constructing predicates for SwiftData. This article will explore some techniques and considerations for handling optional values while building predicates. From "Inside-Out" to "Outside-In" Transformation Among the many innovations in SwiftData, the most striking is allowing developers to declare data models directly through code. In Core Data, developers must first create a data model in Xcode's model editor (corresponding to NSManagedObjectModel) before writing or auto-generating NSManagedObject subclass code.

Secure Your API With These 16 Practices With Apache APISIX (Part 1)

Aggregated on: 2024-02-23 17:57:06

A couple of months ago, I stumbled upon this list of 16 practices to secure your API: Authentication: Verifies the identity of users accessing APIs. Authorization: Determines permissions of authenticated users. Data redaction: Obscures sensitive data for protection. Encryption: Encodes data so only authorized parties can decode it. Error handling: Manages responses when things go wrong, avoiding revealing sensitive info. Input validation and data sanitization: Checks input data and removes harmful parts. Intrusion detection systems: Monitor networks for suspicious activities. IP Whitelisting: Permits API access only from trusted IP addresses. Logging and monitoring: Keeps detailed logs and regularly monitors APIs. Rate limiting: Limits user requests to prevent overload. Secure dependencies: Ensures third-party code is free from vulnerabilities. Security headers: Enhances site security against types of attacks like XSS. Token expiry: Regularly expiring and renewing tokens prevents unauthorized access. Use of security standards and frameworks: Guides your API security strategy. Web application firewall: Protects your site from HTTP-specific attacks. API versioning: Maintains different versions of your API for seamless updates. While it's debatable whether some points relate to security, e.g., versioning, the list is a good starting point anyway. In this two-post series, I'd like to describe how we can implement each point with Apache APISIX (or not).

How To Split Exchange Server DAG

Aggregated on: 2024-02-23 17:27:06

Database Availability Group (DAG) setup in Exchange Server provides full protection and recovery in case of database, network, or server failure. In a DAG, you can have up to 16 mailbox servers hosting a set of databases. This helps provide automatic, database-level recovery in case something happens. Sometimes, situations arise when you need to split the Database Availability Group (DAG) and move the mailboxes from one availability group to another. Some common situations are:

Building a Multi-Modal Image Search Application With MyScale

Aggregated on: 2024-02-23 16:27:06

In the world of machine learning, there used to be a limit on models — they could only handle one type of data at a time. However, the ultimate aspiration of machine learning is to rival the cognitive prowess of the human mind, which effortlessly comprehends various data modalities simultaneously. Recent breakthroughs, exemplified by models like GPT-4V, have now demonstrated the remarkable ability to concurrently handle multiple data modalities. This opens up exciting possibilities for developers to craft AI applications capable of seamlessly managing diverse types of data, which are known as multi-modal applications. One compelling use case that has gained immense popularity is multi-modal image search. It lets users find similar images by analyzing features or visual content. Thanks to the rapid advancements in computer vision and deep learning, image search has become incredibly powerful.

Enabling Compliance and Security in AI-Driven, Low-Code/No-Code Development

Aggregated on: 2024-02-23 16:27:06

AI is rapidly changing the way that people develop and build their own apps, automation, and copilots, helping enterprises improve efficiency and outputs without further straining IT and the help desk. While this is leveling the playing field for software development, it also brings increased cybersecurity risks. For security leaders, it’s important to understand this new wave of business application and AI development and the subsequent risks – and to have a game plan for how to address them. The good news is that you don’t have to choose between AI-driven development and security/compliance.

The Use of Machine Learning in Cybersecurity: Threat Detection and Prevention

Aggregated on: 2024-02-23 15:57:06

With a rapidly increasing reliance on online networks, cloud computing, and online data storage, companies must strengthen their cybersecurity procedures. As the cyber terrain grows, so does the onslaught of cyber threats that put companies at risk of data breaches, loss of sensitive data, and other ever-evolving cyber threats. Organizations must change their security posture, expand beyond perimeter-based security techniques, and adopt new machine-learning cybersecurity techniques that enhance network security. A subset of artificial intelligence, machine learning uses algorithms from previous datasets and statistical analysis to make assumptions about a computer’s behavior. The computer can then adjust its actions, even performing functions it wasn’t programmed to do. These abilities have made machine learning a crucial cybersecurity asset.

Tips To Help GitHub Admins Prepare A Company For SOC 2 And ISO 27001 Audits

Aggregated on: 2024-02-23 15:27:06

Who doesn’t want to be treated as a safe, trustworthy, and reliable business? It’s hard to find anybody in the IT or cybersecurity area who would say that they don’t. That is the reason why everybody who works with data wants to obtain SOC 2 and ISO/IEC 27001 compliance. SOC 2 Compliance: Whats and Whys When a company is SOC 2 compliant, it guarantees that it maintains a high level of information security and meets all the necessary criteria the Audit demands, such as Security, Availability, Processing Integrity, Confidentiality, and Privacy.

Why Agile Engineering Practices in Software Development Are Essential to Achieve Agility

Aggregated on: 2024-02-23 15:12:06

In the Oxford Dictionary, the word agility is defined as "the ability to move quickly and easily." It is, therefore, understandable that many people relate agility to speed. Which I think is unfortunate. I much prefer the description from Sheppard and Young, two academics in the field of sports science, who proposed a new definition of agility within the sports science community as "a rapid whole-body movement with a change of velocity or direction in response to a stimulus" [1]. The term “agility” is often used to describe “a change of direction of speed.” However, there is a distinct difference between “agility” and “a change of direction of speed.” Agility involves the ability to react in unpredictable environments. Change of direction of speed, on the other hand, focuses purely on maintaining speed as the direction of travel is changed. Maintaining a speed while changing direction is usually only possible when each change of direction of travel is known in advance.

Exploring the Nexus Between DevSecOps and Cybersecurity

Aggregated on: 2024-02-23 14:12:06

DevSecOps, short for Development, Security, and Operations, is an approach to software development that integrates security practices into the DevOps (Development and Operations) process. The main goal of DevSecOps is to ensure that security is an integral part of the software development lifecycle rather than being treated as a separate phase. The DevSecOps approach not only reshapes the development lifecycle but also plays a pivotal role in fortifying organizations against the challenges posed by cyber threats. In this blog, we’ll delve into the symbiotic relationship between DevSecOps and cybersecurity.

End-To-End Test Automation for Boosting Software Effectiveness

Aggregated on: 2024-02-23 13:12:06

In the current fast-paced digital environment, organizations deliver more and more complicated software solutions. These have multiple interconnected modules responsible for diverse business processes, third-party services, or databases that must be updated regularly. Failures in their cohesive operation can result in massive problems — from slow loading speed and freeze to complete system outages and data breaches. Any of these will negatively affect end-user satisfaction, user retention rates, and profit. Financial losses caused by system outages in the USA quite often reach $100,000, as reported by the Uptime Institute. Just remember the case of a major social network that lost more than $60 million in advertising revenue after a six-hour outage.

Top NodeJS Frameworks for 2024

Aggregated on: 2024-02-23 12:42:06

NodeJS is a leading software development technology with a wide range of frameworks. These frameworks come with features, templates, and libraries that help developers overcome setbacks and build applications faster with fewer resources. This article takes an in-depth look at NodeJS frameworks in 2024. Read on to discover what they are, their features, and their application. What Is NodeJS? NodeJS is an open-source server environment that runs on various platforms, including Windows, Linux, Unix, Mac OS X, and more. It is free, written in JS, and built on Chrome’s V8 JavaScript engine.

Logging and Monitoring in a Docker Environment

Aggregated on: 2024-02-23 12:27:06

Docker, the main containerization technology, has transformed application packaging and deployment. While Docker makes it easier to execute apps, it is also critical to monitor and log your Dockerized environments to ensure they are working properly and stay safe. In this post, we’ll go into the realm of Docker logging and monitoring, looking at the best practices, tools, and techniques for keeping your containerized apps operating smoothly. The Importance of Logging and Monitoring Before we dive into the technical aspects of logging and monitoring in a Docker environment, let’s understand why these activities are crucial in a containerized setup.

Hiding Data in DB2

Aggregated on: 2024-02-22 19:27:05

In this article, we'll talk about fine-grained access control in DB2 - hiding data that is, in fact, present in the database, but should not be accessible to certain users. Fine-grained access control is usually done in the database itself as the data is being accessed, but it can also be done between the database server and the database client using a programmable proxy.

Automation Testing on Cloud: Flexible, Scalable, Powerful

Aggregated on: 2024-02-22 18:27:05

Cloud technologies have taken the world by storm, allowing people to save their resources and time significantly for computing needs. They eliminate the need to spend money, time, and effort on setting up and maintaining a physical infrastructure. As a result, most development companies are shifting to cloud technologies to improve their overall. This rapid increase in the shift to cloud technologies has stimulated the adoption of automation testing on the cloud. It refers to utilizing cloud computing environments to test software solutions and their individual components for the intended functionality.

Spring Strategy Pattern Example

Aggregated on: 2024-02-22 18:27:05

In this example, we'll learn about the Strategy pattern in Spring. We'll cover different ways to inject strategies, starting from a simple list-based approach to a more efficient map-based method. To illustrate the concept, we'll use the three Unforgivable curses from the Harry Potter series — Avada Kedavra, Crucio, and Imperio. What Is the Strategy Pattern? The Strategy Pattern is a design principle that allows you to switch between different algorithms or behaviors at runtime. It helps make your code flexible and adaptable by allowing you to plug in different strategies without changing the core logic of your application.

Code Review That Matters: Tips and Best Practices

Aggregated on: 2024-02-22 18:27:05

First of all, what’s a code review? Basically, it’s a review of written code performed by other team members. The result of the code review is feedback on the completed task: change requests and comments or green light for further testing and release. Even though the task itself seems pretty straightforward, there are many things to take into account and a number of different ways of performing code review, and there is no unified guide that would work for every company or project.

An Introduction to DDL, DML, and DCL Commands in MySQL: A Comprehensive Guide With Examples

Aggregated on: 2024-02-22 18:27:05

MySQL is widely recognized as one of the most popular open-source relational database management systems. It holds immense significance in the realm of web development, data analytics, and beyond. Its adaptability and user-friendly nature have positioned it as the preferred choice for managing structured data. MySQL commands are classified into various types, primarily based on their purpose within the database. These types encompass Data Definition Language (DDL), Data Manipulation Language (DML), and Data Control Language (DCL). A comprehensive understanding of these commands and their practical applications is essential for individuals involved in MySQL database operations. This article delves into each category, offering precise definitions and illustrative examples to enhance comprehension.

Breaking Barriers: The Rise of Synthetic Data in Machine Learning and AI

Aggregated on: 2024-02-22 17:57:05

In the evergrowing realm of Artificial Intelligence (AI) and Machine Learning (ML), the existing methods to acquire and utilize data are undergoing a major transformation. As the demand for more optimized and sophisticated algorithms continues to rise, the need for high-quality datasets to train the AI/ML modules also keeps increasing. However, using real-world data to train comes with its complexities, such as privacy and regulatory concerns and the limitations of available datasets. These limitations have paved the way for a counter approach: the generation of synthetic data. This article navigates through this groundbreaking paradigm shift as the popularity and demand for synthetic data keep growing exponentially, exhibiting great potential in reshaping the future of intelligent technologies. The Need for Synthetic Data Generation The need for synthetic data in AI and ML stems from several challenges associated with real-world data. For instance, obtaining large and diverse datasets to train the intelligent machine is a formidable task, especially for industries where data is limited or subjected to privacy and regulatory restrictions. Synthetic data helps generate artificial datasets that replicate the characteristics of the original dataset.

The Cost Crisis in Observability Tooling

Aggregated on: 2024-02-22 17:12:05

The cost of services is on everybody’s mind right now, with interest rates rising, economic growth slowing, and organizational budgets increasingly feeling the pinch. But I hear a special edge in people’s voices when it comes to their observability bill, and I don’t think it’s just about the cost of goods sold. I think it’s because people are beginning to correctly intuit that the value they get out of their tooling has become radically decoupled from the price they are paying. In the happiest cases, the price you pay for your tools is “merely” rising at a rate several times faster than the value you get out of them. But that’s actually the best-case scenario. For an alarming number of people, the value they get actually decreases as their bill goes up.

Common Cybersecurity Threats and How To Protect Yourself

Aggregated on: 2024-02-22 16:42:05

Cybersecurity threats are acts performed by people with hurtful expectations, whose objective is to take information, do harm or disrupt computing systems. Normal classes of cyber threats include malware, social engineering, man-in-the-middle (MitM) attacks, denial of service (DoS), and injection attacks — we portray every one of these categories in more detail below. In the interconnected universe of today, understanding normal cybersecurity threats is fundamental for defending your computerized presence. Dangers, for example, phishing, malware, and ransomware, continually advance, requiring proactive measures for protection.

Orchestrating dbt Workflows: The Duel of Apache Airflow and AWS Step Functions

Aggregated on: 2024-02-22 16:27:05

Think of data pipeline orchestration as the backstage crew of a theater, ensuring every scene flows seamlessly into the next. In the data world, tools like Apache Airflow and AWS Step Functions are the unsung heroes that keep the show running smoothly, especially when you're working with dbt (data build tool) to whip your data into shape and ensure that the right data is available at the right time. Both tools are often used alongside dbt (data build tool), which has emerged as a powerful tool for transforming data in a warehouse. In this article, we will introduce dbt, Apache Airflow, and AWS Step Functions and then delve into the pros and cons of using Apache Airflow and AWS Step Functions for data pipeline orchestration involving dbt. A note that dbt has a paid version of dbt cloud and a free open source version; we are focussing on dbt-core, the free version of dbt.

Flexible Data Generation With Datafaker Gen

Aggregated on: 2024-02-22 16:12:05

Introduction to Datafaker Datafaker is a modern framework that enables JVM programmers to efficiently generate fake data for their projects using over 200 data providers allowing for quick setup and usage. Custom providers could be written when you need some domain-specific data. In addition to providers, the generated data can be exported to popular formats like CSV, JSON, SQL, XML, and YAML. For a good introduction to the basic features, see "Datafaker: An Alternative to Using Production Data."

Securing the Digital Frontline: Cybersecurity Trends and Best Practices in Networking

Aggregated on: 2024-02-22 15:42:05

In the fast-paced digital landscape, where connectivity is paramount, the need for robust cybersecurity measures in networking has never been more critical. This article delves into the latest trends and best practices in cybersecurity, aiming to provide insights into how organizations can fortify their networks against the ever-evolving array of cyber threats. Evolution of Cyber Threats As technology advances, so do the tactics employed by cybercriminals. Understanding the evolution of cyber threats is essential for designing effective cybersecurity strategies. Sophisticated Malware and Ransomware The proliferation of sophisticated malware and ransomware attacks poses a significant threat to networks. Cybercriminals continuously refine their techniques, making it imperative for organizations to deploy advanced threat detection and prevention mechanisms.

Most Popular Telegraf Input Plugins and Integrations With InfluxDB

Aggregated on: 2024-02-22 15:12:05

Telegraf is an open-source server agent designed for collecting, processing, aggregating, and writing metrics. Developed by InfluxData, it is part of the InfluxDB time series database platform. Known for its simplicity and ease of use, Telegraf offers a plug-and-play architecture with an array of input, output, and processor plugins. This flexibility allows Telegraf to seamlessly gather metrics from a diverse set of sources and write them into InfluxDB, serving as a vital component in monitoring and observability stacks. One of Telegraf's strengths is its ability to integrate with a wide range of tools and services, enhancing the capabilities of InfluxDB. It supports various data formats and network protocols, enabling integrations with common systems like databases, message queues, and web services. Some notable integrations include popular databases like MySQL, PostgreSQL, and MongoDB, messaging systems like Kafka and MQTT, and cloud services from providers such as AWS, Google Cloud, and Microsoft Azure. Additionally, Telegraf can collect data from various sources like sensors, IoT devices, and virtual systems and applications, making it a versatile tool for comprehensive monitoring solutions in diverse IT environments. This post covers the top types of Telegraf input plugins.

Fine Tune Your Salesforce Queries

Aggregated on: 2024-02-22 12:42:05

We create custom applications in Salesforce that are built on top of customer or transactional data from Salesforce data tables. Writing efficient queries is crucial to maintaining the performance of these applications and ensuring that we don't run into Salesforce limits. There are certain optimization techniques you need to follow to make your query efficient. This article will shed light on those techniques. About Query Performance It is obvious that the performance of your query completely depends on the complexity of data you currently have in your production org. You can write an efficient query that works in one environment but could fail in a different environment. So it is important to understand the current state of your data in the production environment. You should also have some idea regarding the future growth of your production data so that you can plan your queries accordingly. Make planning queries as part of your development cycle. Make a routine to revisit old queries in your production environment to make sure that those queries are still efficient. This article will also walk you through tools you could use to measure query performance in Salesforce.

Safe Clones With Ansible

Aggregated on: 2024-02-22 03:17:13

I started research for an article on how to add a honeytrap to a GitHub repo. The idea behind a honeypot weakness is that a hacker will follow through on it and make his/her presence known in the process. My plan was to place a GitHub personal access token in an Ansible vault protected by a weak password. Should an attacker crack the password and use the token to clone the private repository, a webhook should have triggered and mailed a notification that the honeypot repo has been cloned and the password cracked.

Unleashing the Power of Git Bisect

Aggregated on: 2024-02-22 02:47:13

We don't usually think of Git as a debugging tool. Surprisingly, Git shines not just as a version control system, but also as a potent debugging ally when dealing with the tricky matter of regressions. The Essence of Debugging with Git Before we tap into the advanced aspects of git bisect, it's essential to understand its foundational premise. Git is known for tracking changes and managing code history, but the git bisect tool is a hidden gem for regression detection. Regressions are distinct from generic bugs. They signify a backward step in functionality—where something that once worked flawlessly now fails. Pinpointing the exact change causing a regression can be akin to finding a needle in a haystack, particularly in extensive codebases with long commit histories.

Self-Healing Test Automation: A Key Enabler for Agile and DevOps Teams

Aggregated on: 2024-02-21 18:47:13

Test automation is essential for ensuring the quality of software products. However, test automation can be challenging to maintain, especially as software applications evolve over time. Self-healing test automation is an emerging concept in software testing that uses artificial intelligence and machine learning techniques to enable automated tests to detect and self-correct issues. This makes test automation more reliable and cost-effective and reduces the amount of time and resources required to maintain test scripts. In this article, we will discuss the benefits of self-healing test automation, how it works, and how to implement it in your organization.

Cybersecurity: A Trojan Horse in Our Digital Walls?

Aggregated on: 2024-02-21 18:32:13

The rapid advancement of artificial intelligence (AI) in cybersecurity has been widely celebrated as a technological triumph. However, it's time to confront a less discussed but critical aspect: Is AI becoming more of a liability than an asset in our digital defense strategies? I talk about the unintended consequences of AI in cybersecurity in this essay, challenging the prevailing notion of AI as an unalloyed good. I’ll start off with the example of deep penetration testing, a critical aspect of cybersecurity that has been utterly transformed by AI. We used to traditionally rely on formulaic methods that were confined to identifying known vulnerabilities and referencing established exploit databases. But AI? It’s changed the game entirely. AI algorithms today are capable of uncovering previously undetectable vulnerabilities by making use of advanced techniques like pattern recognition, machine learning, and anomaly detection. These systems learn from each interaction with the environment and keep adapting continuously. They can intelligently identify and exploit weaknesses that traditional methods might overlook. That’s an improvement, right?

CRM Analytics, a Guide to Salesforce Data Integrator

Aggregated on: 2024-02-21 18:32:13

Salesforce CRM Analytics is a cloud-based business intelligence (BI) and visualization framework seamlessly integrated into the Salesforce platform, designed to enable business insights, predictive analytics, and recommendations by integrating the Salesforce data with external big data sources. CRM Analytics has a vibrant ecosystem with a vast array of third-party connections available through its Data manager, which makes it easy to integrate the Salesforce objects like opportunity, account, lead, tasks, and users with external big data sources like AWS Redshift, Microsoft Azure, Google Analytics, SAP HANA, Snowflake, Microsoft Dynamics, Mulesoft and Oracle.

The Future of Digital Products: Will AI-Assistants Replace Applications?

Aggregated on: 2024-02-21 17:17:13

Apps May Soon Become Redundant The rapid evolution of generative AI has provoked another round of heated discussions about its effect on the future of technology—as well as our daily lives. I would like to jump in and speculate on how this may change the future of digital end-user products. Here is my main hypothesis: If AI assistants like ChatGPT continue to evolve at the same pace, we will witness the end of the era of the apps as we know them.

Launch Your Ethereum Donation dApp Today: Easy Steps With MetaMask, Alchemy, and GitHub Codespaces

Aggregated on: 2024-02-21 16:32:13

In the rapidly evolving world of blockchain technology, building decentralized applications (dApps) presents a unique opportunity for developers to explore the potential of Ethereum and smart contracts. This article aims to guide you through the process of creating a simple yet functional dApp, "BuyACoffee," designed to receive acknowledgments from the readers of Brainupgrade. We'll use the Ethereum test network Sepolia and platforms like Alchemy and MetaMask for wallet management. Step 1: Setting up MetaMask MetaMask is a popular Ethereum wallet and a gateway to blockchain apps. Here's how to create a new wallet for our project:

The Impact of Technical Ignorance

Aggregated on: 2024-02-21 15:47:13

I knew a Chief Software Architect from a major financial organization who was an anomaly: he had never developed software professionally. His undergraduate degree is in Accounting and Finance, and his most hands-on technology role was as a DBA. [His LinkedIn profile lists an early Programmer role, though he insisted he didn’t.] Even so, he was well-respected within his organization for his thought leadership and solutions, but nevertheless, it seemed an unusual career path. Since I last worked with him, he has moved into C-level roles at other organizations, confirming his abilities as a technology leader. Then I thought of others I have worked with who are non-technical but positioned to impact technical direction and realized their lack of understanding impacted (and continues to impact) the quality of the software solutions we, as engineers, are expected to deliver.

How Slow Is Database I/O?

Aggregated on: 2024-02-21 15:32:13

Most veteran developers must have experienced a rather low database I/O performance. However, many may not have a full understanding of how slow the I/O operation is, particularly about the gap between database I/O speed and the speeds of other data read/write methods. Java is a commonly used technique used for application development. In this article, we perform a field test to find out the performances of retrieving data from Oracle and MySQL – the two typical types of databases in Java, and compare them with the performance of retrieving data from the text file.

Unlocking Efficiency in Big Data: The Power of Data Deduplication Revealed!

Aggregated on: 2024-02-21 12:47:13

Data deduplication is a technique used to eliminate duplicate records or rows from a dataset. Data deduplication holds significant importance in the Big Data world due to the scale and volume of data handled in Big Data environments. Here are some key reasons why data deduplication is crucial in the context of Big Data:

Build a Spring Boot REST Application With Gradle

Aggregated on: 2024-02-21 08:17:13

In this tutorial, we will create a simple RESTful web service using Spring Boot and Gradle. Spring Boot makes it easy to create stand-alone, production-grade Spring-based applications, and Gradle is a powerful build tool that simplifies the build process. What Is REST? REST, Representational State Transfer, is a set of architectural principles ensuring your APIs are interoperable, scalable, and maintainable. Imagine building Lego blocks — different applications can seamlessly interact with your API as long as they follow the RESTful guidelines, just like Legos click together regardless of their set.

Empower Software Development With Data Analytics: Enhance Efficiency, Quality, and User Satisfaction

Aggregated on: 2024-02-21 04:47:12

Data Analytics in Software Development In the realm of software development, the application of data analytics tools transcends mere operational enhancements, embedding itself as a pivotal component in the engineering and management processes. This integration is propelled by an understanding that data, when effectively analyzed and applied, can significantly augment the efficiency, reliability, and overall success of software projects. Data analytics tools serve a multifaceted role in software development and not only facilitate a detailed assessment of project metrics and performance indicators but enable developers to gain insights into code quality, user engagement, and system operations. The strategic incorporation of these tools into the software development lifecycle (SDLC) empowers teams to navigate complex project landscapes with data-driven confidence.

Revolutionizing Real-Time Alerts With AI, NATS, and Streamlit

Aggregated on: 2024-02-20 20:32:12

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it’s a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

Insights From AWS Re:Invent 2023

Aggregated on: 2024-02-20 20:17:12

AWS re:Invent is an annual conference hosted by Amazon Web Services. AWS re:Invent 2023 stood out as a beacon of innovation, education, and vision in cloud computing. Held in Las Vegas, Nevada, spread over five days, the conference was one of the largest gatherings in the cloud sector, attracting an estimated 65,000+ attendees from around the globe. Having had the privilege to attend this year (2023), I am excited to share the key takeaways from the conference and interactions with some of the brightest minds in cloud computing. I aim to inspire and shed light on the expansive possibilities cloud technology offers. AWS Aurora Limitless Database In today’s world, enterprise applications typically rely on backend databases to host all the data necessary for the application. As you add new capabilities to your application or there is a growth in the customer base on your application, the volume of data hosted by the database surges rapidly, and the number of transactions that require database interaction increases significantly.