News Aggregator

Extracting Keywords From Text Using Natural Language Processing

Aggregated on: 2024-03-19 16:27:19

If your work involves data analysis, SEO optimization, or any role that requires sifting through digital content, understanding how to effectively extract keywords is essential. This skill streamlines data management and accessibility, representing a significant advancement in data processing and analysis methodologies. Right at the center of this ability is Natural Language Processing. This cutting-edge technology empowers computers to understand human language, effectively narrowing the divide between digital data management and actual human interaction. Within this domain, the spaCy Python library stands out for its robust language processing features. Known for its efficiency and ease of use, spaCy empowers professionals across various fields to enhance their text analysis practices, improving their workflows and outcomes.

ChatGPT Code Smell [Comic]

Aggregated on: 2024-03-19 15:42:19

Kafka Message Filtering: An Analysis

Aggregated on: 2024-03-19 15:27:19

A lot of companies nowadays use event-driven architectures in their day-to-day business activities, especially when they desire their applications to own real-time or near real-time reactiveness. In such a scenario, during the interactions among the three main types of actors — producers, message brokers, and consumers – a lot of messages are exchanged. Nevertheless, under certain circumstances, some of these messages might not be of interest and thus they are discarded and ignored.

Secure Your API With JWT: Kong OpenID Connect

Aggregated on: 2024-03-19 14:27:19

Good Old History: Sessions Back in the old days, we used to secure web applications with sessions. The concept was straightforward: upon user authentication, the application would issue a session identifier, which the user would subsequently present in each subsequent call. On the backend side, the common approach was to have application memory storage to handle user authorization - simple mapping between session ID and user privileges.  Unfortunately, the simple solution had scaling limitations. If we needed to scale an application server, we used to apply session stickiness on the exposed load balancer:

The Cost of Ignoring Static Code Analysis

Aggregated on: 2024-03-19 13:27:19

Within the software development community, there’s no denying the importance of unit testing. We all understand the need to isolate code for testing and quality assurance; it’s an unquestionable necessity in writing code. But how can we be sure that the code we deploy is as good as it can possibly be? The answer is: static code analysis. Too often, businesses choose not to prioritize static analysis — which ultimately impacts the quality of their software. The truth is that we can’t afford to sidestep this part of the CI/CD development pipeline if we want to create the best possible software that helps a business compete and win in their market.

Harmonizing AI: Crafting Personalized Song Suggestions

Aggregated on: 2024-03-19 13:27:19

Hello, fellow machine learning enthusiasts!  After several years of working as a Data Engineer, I've embarked on a new journey to delve into the diverse realms of machine learning. This article marks the beginning of my exploration through various projects aimed at learning and understanding this fascinating field. While I may be starting with Large Language Models (LLMs), I view it as an initial step to ignite my passion and motivation for this new endeavor. Join me as I dive into the world of machine learning, eager to expand my knowledge and skills. 

Exploring Zero-Trust Architecture Implementation in Modern Cybersecurity

Aggregated on: 2024-03-19 11:57:19

Cyber threats are growing more sophisticated, frequent, and damaging, with the average cost of a data breach now reaching $4.24 million, according to IBM’s 2021 report. Clearly, organizations need more robust cybersecurity protections in place, which is leading many to adopt a zero-trust architecture approach.  Zero-trust flips conventional security on its head by shifting from an implicit trust model to one where verification is required every step of the way. No users, devices, or workloads are inherently trusted — authentication and authorization are rigorously enforced at all times. This assumes that breaches will occur and limits lateral movement and access once threat actors break through the external perimeter. 

Breaking Down Data Silos With a Unified Data Warehouse: An Apache Doris-Based CDP

Aggregated on: 2024-03-19 03:12:19

The data silos problem is like arthritis for online businesses because almost everyone gets it as they grow old. Businesses interact with customers via websites, mobile apps, H5 pages, and end devices. For one reason or another, it is tricky to integrate the data from all these sources. Data stays where it is and cannot be interrelated for further analysis. That's how data silos come to form. The bigger your business grows, the more diversified customer data sources you will have, and the more likely you are trapped by data silos.  This is exactly what happens to the insurance company I'm going to talk about in this post. By 2023, they have already served over 500 million customers and signed 57 billion insurance contracts. When they started to build a customer data platform (CDP) to accommodate such a data size, they used multiple components. 

Virtual Network Functions in VPC and Integration With Event Notifications in IBM Cloud

Aggregated on: 2024-03-19 02:12:19

What Are Virtual Network Functions (VNFs)? Previously, proprietary hardware performed functions like routers, firewalls, load balancers, etc. In IBM Cloud, we have proprietary hardware like the FortiGate firewall that resides inside IBM Cloud data centers today. These hardware functions are packaged as virtual machine images in a VNF. VNFs are virtualized network services that are packaged as virtual machines (VMs) on commodity hardware. It allows service providers to run their networks on standard servers instead of proprietary ones. Some of the common VNFs include virtualized routers, firewalls, load balancers, WAN optimization, security, and other edge services. In a cloud service provider like IBM, a user can spin up these VNF images in a standard virtual server instead of proprietary hardware.    

Continuous Improvement as a Team

Aggregated on: 2024-03-19 01:12:19

Cultivating a culture of continuous improvement within Scrum teams or Agile teams is pivotal for personal well-being, enhancing effectiveness, building trust with stakeholders, and delivering products that genuinely enhance customers’ lives. This post dives into the top ten actionable strategies derived from the Scrum Anti-Patterns Guide book, providing a roadmap for teams eager to embrace Kaizen practices. From embracing Scrum values and fostering psychological safety to prioritizing customer feedback and continuous learning, these strategies offer a comprehensive approach to fostering innovation, collaboration, and sustained improvement.

Using My New Raspberry Pi To Run an Existing GitHub Action

Aggregated on: 2024-03-19 00:27:19

Recently, I mentioned how I refactored the script that kept my GitHub profile up-to-date. Since Geecon Prague, I'm also a happy owner of a Raspberry Pi: Though the current setup works flawlessly — and is free, I wanted to experiment with self-hosted runners. Here are my findings.

Cilium: The De Facto Kubernetes Networking Layer and Its Exciting Future

Aggregated on: 2024-03-18 23:27:19

Cilium is an eBPF-based project that was originally created by Isovalent, open-sourced in 2015, and has become the center of gravity for cloud-native networking and security. With 700 active contributors and more than 18,000 GitHub stars, Cilium is the second most active project in the CNCF (behind only Kubernetes), where in Q4 2023 it became the first project to graduate in the cloud-native networking category. A week ahead of the KubeCon EU event where Cilium and the recent 1.15 release are expected to be among the most popular topics with attendees, I caught up with Nico Vibert, Senior Staff Technical Engineer at Isovalent, to learn more about why this is just the beginning for the Cilium project. Q:  Cilium recently became the first CNCF graduating “cloud native networking” project — why do you think Cilium was the right project at the right time in terms of the next-generation networking requirements of cloud-native?

Simplify, Process, and Analyze: The DevOps Guide To Using jq With Kubernetes

Aggregated on: 2024-03-18 22:27:19

In the ever-evolving world of software development, efficiency and clarity in managing complex systems have become paramount. Kubernetes, the de facto orchestrator for containerized applications, brings its own set of challenges, especially when dealing with the vast amounts of JSON-formatted data it generates. Here, jq, a lightweight and powerful command-line JSON processor, emerges as a vital tool in a DevOps professional's arsenal. This comprehensive guide explores how to leverage jq to simplify, process, and analyze Kubernetes data, enhancing both productivity and insight. Understanding jq and Kubernetes Before diving into the integration of jq with Kubernetes, it's essential to grasp the basics. jq is a tool designed to transform, filter, map, and manipulate JSON data with ease. Kubernetes, on the other hand, manages containerized applications across a cluster of machines, producing and utilizing JSON outputs extensively through its API and command-line tools like kubectl.

Rethinking DevOps in 2024: Adapting to a New Era of Technology

Aggregated on: 2024-03-18 21:27:20

As we advance into 2024, the landscape of DevOps is undergoing a transformative shift. Emerging technologies, evolving methodologies, and changing business needs are redefining what it means to implement DevOps practices effectively. This article explores DevOps's key trends and adaptations as we navigate this digital technology transition.  Emerging Trends in DevOps AI and ML Integration The integration of artificial intelligence (AI) and machine learning (ML) within DevOps processes is no longer a novelty but a necessity. AI-driven analytics and ML algorithms are revolutionizing how we approach automation, problem-solving, and predictive analysis in DevOps.

LangChain, Python, and Heroku

Aggregated on: 2024-03-18 19:27:19

Since the launch and wide adoption of ChatGPT near the end of 2022, we’ve seen a storm of news about tools, products, and innovations stemming from large language models (LLMs) and generative AI (GenAI). While many tech fads come and go within a few years, it’s clear that LLMs and GenAI are here to stay. Do you ever wonder about all the tooling going on in the background behind many of these new tools and products? In addition, you might even ask yourself how these tools—leveraged by both developer and end users—are run in production. When you peel back the layers for many of these tools and applications, you’re likely to come across LangChain, Python, and Heroku.

Power BI: Transforming Banking Data

Aggregated on: 2024-03-18 18:12:19

As a data architect or data engineer, you know how vital it is to fully understand the power of your data. This task holds even more gravity in the banking sector, where every decision and strategy bears severe financial and reputational risks. There are multiple tools in the market that can help you simplify data analysis and transform it into a strategic asset. Today, I would like to tell you about one of the best instruments available – Power BI. With its advanced analytics and visualizations, this suite of business analytics tools is well-suited to tackle the intricate challenges banks face daily, transforming your data into actionable insights.

Integrating Snowflake With Trino

Aggregated on: 2024-03-18 17:12:20

In today's discourse, we delve into the intricacies of accessing Snowflake via the Trino project. This article illuminates the seamless integration of Trino with Snowflake, offering a comprehensive analysis of its benefits and implications. Previous Articles Previous articles on Snowflake and Trino:

Crafting a Custom Sports Activity Service With OpenAI and Node.js

Aggregated on: 2024-03-18 16:12:20

Enter the realm of Artificial Intelligence (AI), where machine learning models and intelligent algorithms are revolutionizing how we interact with data, make decisions, and predict outcomes. The fusion of AI with Node.js opens a portal to a multitude of possibilities, transforming the landscape of web services across various domains, including sports and fitness. Lifecycle At the base of the application, we going to have some sports activity daily suggestions which will be generated based on AI. That means we do an activity that AI suggested, then we have to ask AI again about suggestions. Then we get a response from AI on our application and expose it for the next day. Then users will see that new suggestion plan again and again day by day.

AI-Driven API and Microservice Architecture Design for Cloud

Aggregated on: 2024-03-18 15:12:19

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Here are some key aspects where AI can drive improvements in architecture design: Intelligent planning: AI can assist in designing the architecture by analyzing requirements, performance metrics, and best practices to recommend optimal structures for APIs and microservices. Automated scaling: AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness. Dynamic load balancing: AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability. Predictive analytics: AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices. Continuous optimization: AI can continuously analyze performance metrics, user feedback, and system data to suggest improvements for the architecture design, leading to enhanced efficiency and user satisfaction. By integrating AI-driven capabilities into API and microservice architecture design on Azure, organizations can achieve greater agility, scalability, and intelligence in managing their cloud-based applications effectively. 

Initializing Services in Node.js Application

Aggregated on: 2024-03-18 14:12:19

While working on a user model, I found myself navigating through best practices and diverse strategies for managing a token service, transitioning from straightforward functions to a fully-fledged, independent service equipped with handy methods. I delved into the nuances of securely storing and accessing secret tokens, discerning between what should remain private and what could be public. Additionally, I explored optimal scenarios for deploying the service or function and pondered the necessity of its existence. This article chronicles my journey, illustrating the evolution from basic implementations to a comprehensive, scalable solution through a variety of examples. Services In a Node.js application, services are modular, reusable components responsible for handling specific business logic or functionality, such as user authentication, data access, or third-party API integration. These services abstract away complex operations behind simple interfaces, allowing different parts of the application to interact with these functionalities without knowing the underlying details. By organizing code into services, developers achieve separation of concerns, making the application more scalable, maintainable, and easier to test. Services play a crucial role in structuring the application’s architecture, facilitating a clean separation between the application’s core logic and its interactions with databases, external services, and other application layers. I decided to show an example with JWT Service. Let’s jump to the code.

Securing AWS RDS SQL Server for Retail: Comprehensive Strategies and Implementation Guide

Aggregated on: 2024-03-18 12:42:19

In the retail industry, the security of customer data, transaction records, and inventory information is paramount. As many retail stores migrate their databases to the cloud, ensuring the security of these data repositories becomes crucial. Amazon Web Services (AWS) Relational Database Service (RDS) for SQL Server offers a powerful platform for hosting retail databases with built-in security features designed to protect sensitive information. This article provides a detailed guide on securing AWS RDS SQL Server instances, tailored for retail stores, with practical setup examples. Understanding the Importance of Database Security in Retail Before delving into the specifics of securing an RDS SQL Server instance, it's essential to understand why database security is critical for retail stores. Retail databases contain sensitive customer information, including names, addresses, payment details, and purchase history. A breach could lead to significant financial loss, damage to reputation, and legal consequences. Therefore, implementing robust security measures is not just about protecting data but also about safeguarding the business's integrity and customer trust.

Understanding the 2024 Cloud Security Landscape

Aggregated on: 2024-03-16 22:27:18

With technology and data growing at an unprecedented pace, cloud computing has become a no-brainer answer for enterprises worldwide to foster growth and innovation. As we swiftly move towards the second quarter of 2024, predictions by cloud security reports highlight the challenges of cloud adoption in the cloud security landscape. Challenges Gartner Research forecasts a paradigm shift in adopting public cloud Infrastructure as a Service (IaaS) offerings. By 2025, a staggering 80% of enterprises are expected to embrace multiple public cloud IaaS solutions, including various Kubernetes (K8s) offerings. This growing reliance on cloud infrastructure raises the critical issue of security, which the Cloud Security Alliance painfully highlights. 

OpenTofu Vs. Terraform: The Great IaC Dilemma

Aggregated on: 2024-03-16 20:27:18

Terraform, the leading IaC (Infrastructure as Code orchestrator), was created 9 years ago by HashiCorp and is considered today as the de facto tool for managing cloud infrastructure with code. What started as an open-source tool quickly became one of the largest software communities in the world, and for every problem you may encounter, someone has already found and published a solution. At the end of the day, DevOps managers are looking for a simple, predictable, drama-free way to manage their infrastructure, and this is probably why many have chosen Terraform, which is a well-known, well-established tool with a very large community.

Telemetry Pipelines Workshop: Introduction To Fluent Bit

Aggregated on: 2024-03-15 23:57:18

Are you ready to get started with cloud-native observability with telemetry pipelines? This article is part of a series exploring a workshop guiding you through the open source project Fluent Bit, what it is, a basic installation, and setting up the first telemetry pipeline project. Learn how to manage your cloud-native data from source to destination using the telemetry pipeline phases covering collection, aggregation, transformation, and forwarding from any source to any destination.

Building a Sustainable Data Ecosystem

Aggregated on: 2024-03-15 19:57:18

Generative Artificial Intelligence (AI) has emerged as a transformative technology with vast potential for innovation across various sectors. However, the widespread adoption of generative AI raises significant concerns regarding privacy, fairness, and accountability, particularly in data sharing.  This article explores policy approaches to foster collaboration while safeguarding privacy in generative AI. We examine the fundamentals of generative AI and data-sharing practices, highlighting the ethical and societal implications. Building upon existing policy foundations, we propose critical principles for guiding policy development, emphasizing transparency, accountability, and fairness. 

Understanding Softmax Activation Function for AI/ML Engineers

Aggregated on: 2024-03-15 19:57:18

In the realm of machine learning and deep learning, activation functions play a pivotal role in neural networks' ability to make complex decisions and predictions. Among these, the softmax activation function stands out, especially in classification tasks where outcomes are mutually exclusive. This article delves into the softmax function, offering insights into its workings, applications, and significance in the field of artificial intelligence (AI). Softmax Activation Function

Understanding the Power of AWS Organizations: Streamlining Cloud Management

Aggregated on: 2024-03-15 18:57:18

In the rapidly evolving landscape of cloud computing, managing multiple AWS accounts efficiently while ensuring security and compliance can be a daunting task. As businesses scale their operations on the cloud, the need for centralized management of resources becomes increasingly critical. In response to this challenge, AWS introduced a powerful solution: AWS Organizations. This service empowers organizations to centrally manage and govern multiple AWS accounts, streamlining operations, enhancing security, and facilitating compliance with organizational policies. What Is AWS Organizations? AWS Organizations is a cloud management service provided by Amazon Web Services (AWS) that simplifies the administration of multiple AWS accounts within an organization. It offers a consolidated view and control over resources, enabling administrators to centrally manage policies, budgets, and security settings across all linked accounts.

Optimizing Model Training: Strategies and Challenges in Artificial Intelligence

Aggregated on: 2024-03-15 17:57:18

When you train a model, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shooting, passing, and positioning to minimize errors. Similarly, machines use repeated exposure to data to recognize patterns. This article will focus on a fundamental concept called backward propagation. After reading, you'll understand:

WebSocket vs. Server-Sent Events: Choosing the Best Real-Time Communication Protocol

Aggregated on: 2024-03-15 16:42:18

In today's dynamic web development world, real-time communication technologies are essential for building dynamic and interactive user experiences. From online games and live conversations to real-time notifications and collaborative editing platforms, these technologies guarantee that users quickly receive and interact with real data. WebSockets and Server-Sent Events (SSE) are popular protocols for their special functions and roles supporting real-time web applications. This article analyzes these two well-known technologies thoroughly and comprehends each. Together with new technology, we will examine their working principles, practical uses, and difficulties. By doing this, we hope to provide developers with the information they need to choose the best protocol for their real-time communication requirements, guaranteeing user experience and optimal performance.

Azure Stream Analytics Upsert Operation Using Cosmos DB

Aggregated on: 2024-03-15 15:42:18

Azure Stream Analytics provides the ability to perform upsert operations, but currently, this feature is only supported through Cosmos DB. Upsert operations allow you to update existing records or insert new ones based on specific criteria, enabling efficient data management within your streaming pipelines. By leveraging Cosmos DB's flexible and scalable NoSQL database capabilities, Azure Stream Analytics empowers you to seamlessly handle upsert operations, ensuring data consistency and accuracy in real-time processing scenarios. Explore the power of Azure Stream Analytics with Cosmos DB integration and unlock new possibilities for stream processing in your applications.  To perform upsert operations with Azure Stream Analytics using Cosmos DB, you can follow these general steps:

How to Setup RAID10 on Dell Servers

Aggregated on: 2024-03-15 14:42:18

When it comes to IT Infrastructure, there are several components that play a vital role in a successful deployment, storage is one such component and it plays a crucial role in keeping the data safe and secure. Understanding different types of storage configurations is important and today we will discuss how we can achieve redundancy and performance by using RAID arrays. RAID stands for Redundant Array of Inexpensive/Independent Disks and RAID supports various types of configuration and in this article, we will focus on hardware RAID10 setup on DELL servers and if you are new to RAID and would like to learn more about it please go through this information. Step 1 Boot the server and wait until you see the option to enter into RAID configuration <Ctrl + R> and once you enter into the configuration menu navigate through VD mgmt and PD mgmt screens and look for the available physical disks on the server. 

The Ultimate Guide to Kubernetes: Maximizing Benefits, Exploring Use Cases, and Adopting Best Practices

Aggregated on: 2024-03-15 13:42:18

In today's fast-paced world of technology, efficient application deployment and management are crucial. Kubernetes, a game-changing platform for container orchestration, is at the forefront of this evolution. At Atmosly, we leverage Kubernetes to empower organizations in navigating the rapidly evolving digital landscape, offering solutions that intertwine with Kubernetes' strengths to enhance your technological capabilities. What Is Kubernetes? Kubernetes, or K8s, is a revolutionary container orchestration system born at Google. It has become a cornerstone of contemporary IT infrastructure, providing robust solutions for deploying, scaling, and managing containerized applications. At Atmosly, we integrate Kubernetes into our offerings, ensuring our clients benefit from its scalable, reliable, and efficient nature.

I Deployed My Own Cute Lil’ Private Internet (aka VPC)

Aggregated on: 2024-03-15 12:42:18

Recently, I had the pleasure of attending DeveloperWeek in Oakland, CA. In addition to working the Akamai booth, making new friends, and spreading the good word of cloud computing, my teammate, Talia and I were tasked with creating a demo to showcase the new VPC product. Background A Virtual Private Cloud (VPC) enables private communication between two cloud compute instances, isolating network traffic from other internet users, thus improving security.

Logging and Monitoring in Oracle Cloud Infrastructure (OCI)

Aggregated on: 2024-03-15 11:27:18

Oracle Cloud Infrastructure (OCI) is a cloud computing platform that provides a full range of services for developing, deploying, and managing applications and infrastructure. To assure the performance, security, and cost-effectiveness of your cloud-based resources in OCI, robust logging and monitoring are required. In this post, we will look at the significance of logging and monitoring in OCI, as well as numerous alternatives and best practices for logging and monitoring, as well as prominent OCI services and tools that may assist you in achieving these goals. The Importance of Logging and Monitoring in OCI Before delving into the technical aspects of logging and monitoring in OCI, it’s crucial to understand why these activities are vital in a cloud-based environment.

Data Flow Diagrams for Software Engineering

Aggregated on: 2024-03-14 22:12:17

Have you ever wondered how data flows within a software system? How is information processed and transformed, and how does it deliver value? Data Flow Diagrams (DFDs) are a "visual language" that may answer such questions. An important tool for understanding how data moves in a software system, DFDs provide a visual representation of the flow of data from its entry point to its final destination and highlight data transformations along the way.  Whether you're a tester, a seasoned developer, a budding programmer, or a stakeholder involved in system design and architecture, understanding DFDs unlocks a valuable skillset. This article provides fundamental knowledge about DFDs, highlighting their benefits and guiding you on how to leverage them effectively.

Optimizing Robotics Application’s Performance

Aggregated on: 2024-03-14 21:12:17

In this post, we would like to share our real-world experience in optimizing a Java application that was controlling the robots in a warehouse. This application would give instructions to the robots in the warehouse on what actions to perform. Based on those instructions, robots carry out their job in the warehouse. Occasionally, this application was slowing down and not giving instructions to the robots. If robots didn't receive instructions from the application, they would start to make autonomous decisions causing degenerated behavior in them, which in turn was affecting the delivery and shipments in the warehouse. Long Garbage Collection Pause The best way to start troubleshooting the Java application’s performance is to study its Garbage Collection performance. This is even more true when the application suffers from a slowdown. We took this application’s Garbage Collection log file and uploaded it to the GCeasy tool. (Note: Garbage Collection log contains vital statistics that are not reported by most monitoring tools, and they add almost no overhead to your application. Thus, it’s a best practice to enable the Garbage Collection log on all your production instances). The tool analyzed the Garbage Collection log and instantly generated this insightful GC log analysis report. 

Women in Tech: Pioneering Leadership in DevOps and Platform Engineering

Aggregated on: 2024-03-14 21:12:17

The technology landscape has long been a domain of intense innovation and dynamic change. Yet, one of the most significant changes in recent years is the increasing visibility and impact of women in tech, especially in fields like DevOps and platform engineering. Names like Nicole Forsgren, Julia Evans, Bridget Kromhout, Nora Jones, and Dora Korpar, among others, have become synonymous with excellence and innovation in these domains. The Trailblazers In the world of DevOps and platform engineering, there are inspiring stories of female leaders like Nicole Forsgren, who have not only broken through gender barriers but have also excelled in their roles. 

Data Lake vs. Data Warehouse: 10 Key Differences

Aggregated on: 2024-03-14 20:12:17

Today, we are living in a time where we need to manage vast amounts of data. In today's data management world, the growing concepts of data warehouse and data lake have often been a major part of the discussions. In this article, we discuss the pros and cons of each concept. Undeniably, both serve as the repository for storing data, but there are fundamental differences in capabilities, purposes, and architecture.  We will mainly discuss the 10 major differences between data lakes and data warehouses to make the best choice. This will help identify which one is best for your business.

Four Common CI/CD Pipeline Vulnerabilities

Aggregated on: 2024-03-14 19:12:17

The continuous integration/continuous delivery (CI/CD) pipeline represents the steps new software goes through before release. However, it can contain numerous vulnerabilities for hackers to exploit. 1. Vulnerabilities in the Code Many software releases get completed on such tight time frames that developers don’t have enough time to ensure the code is secure. Company leaders know frequent software updates tend to keep customers happy and can give people the impression that a business is on the cutting edge of technology. However, rushing new releases can have disastrous consequences that give hackers easy entry for wreaking havoc.

Building Safe AI: A Comprehensive Guide to Bias Mitigation, Inclusive Datasets, and Ethical Considerations

Aggregated on: 2024-03-14 18:12:17

Artificial intelligence (AI) holds vast potential for societal and industrial transformation. However, ensuring AI systems are safe, fair, inclusive, and trustworthy depends on the quality and integrity of the data upon which they are built. Biased datasets can produce AI models that perpetuate harmful stereotypes, discriminate against specific groups, and yield inaccurate or unreliable results. This article explores the complexities of data bias, outlines practical mitigation strategies, and delves into the importance of building inclusive datasets for the training and testing of AI models [1]. Understanding the Complexities of Data Bias Data plays a key role in the development of AI models. Data bias can infiltrate AI systems in various ways. Here's a breakdown of the primary types of data bias, along with real-world examples [1,2]:

Mastering AWS API Gateway: A Comprehensive Guide To Setting up Routes, Integrations, and Deployments

Aggregated on: 2024-03-14 17:12:17

Amazon Web Services (AWS) API Gateway is a powerful service that enables you to create, deploy, and manage APIs at any scale. In this article, we will walk through the process of setting up AWS API Gateway with a Network Load Balancer (NLB), Target Group, Security Group, and Virtual Private Cloud (VPC). Additionally, we'll provide examples of setting up GET, POST, and DELETE requests to interact with the API Gateway. Prerequisites Before we begin, make sure you have the following prerequisites:

Fusion for the Future: How Product Management and DevOps Are Redrawing the Digital Blueprint

Aggregated on: 2024-03-14 16:12:17

The technology landscape is evolving at a breakneck pace. Organizations must navigate this dynamic environment to meet changing customer expectations and business challenges. This requires a fundamental shift in how digital products are envisioned, built, and managed. In this light, the integration of product management and DevOps has emerged as a pivotal trend. This fusion promises to accelerate innovation cycles, enhance customer centricity, and equip teams with the agility needed to thrive in the digital age. In this article, we analyze the depth and breadth of this integration. We explore the distinct roles of product management and DevOps, the synergies unlocked by bringing them together, proven strategies for implementation, and what the future holds for this fused function.

Is Computer Vision Difficult To Use?

Aggregated on: 2024-03-14 15:12:17

We humans see objects, places, and people using our eyes. We have been gifted with a natural object-analyzing, detection tool that helps us to identify things in the vicinity. But have you wondered how face lock works in both Android and iPhones? Do computers also have an eye that keeps looking at the world like humans? Computer Vision Computer vision is a type of artificial intelligence that helps the computer to see the world, make interpretations, and analyze the visual world. It also uses the machine learning concept to identify different objects that it sees and classify them with similar objects. The machine learning model used here is already well-trained to do this job.

Qumulo Unifies Data Across the Enterprise With Scale Anywhere Data Platform

Aggregated on: 2024-03-14 15:12:17

At the recent 54th IT Press Tour, Kiran Bhageshpur, Qumulo's CTO, shared how the company is simplifying enterprise data management at scale. As unstructured data continues its explosive growth, managing that data has become an enormous challenge. Legacy storage solutions create complexity and lock-in, with data silos preventing visibility and access across locations. But Qumulo is taking a fresh approach with its Scale Anywhere Data Platform that empowers customers to store, manage, and curate data anywhere, from edge to core to cloud. Scale Anywhere NAS At the heart of Qumulo's solution is its Scale Anywhere NAS (network-attached storage). As Kiran Bhageshpur, Qumulo's CTO explains, this provides "exabyte scale and performance on demand" through a "software only and hybrid first" architecture. It supports multiple protocols including NFS, SMB, S3, and FTP.

Elevate Your Security Posture: Grafana for Real-Time Security Analytics and Alerts

Aggregated on: 2024-03-14 14:12:17

In the digital age, where data breaches and cyber threats loom large, ensuring the security of your digital assets is paramount. Businesses are in dire need of robust tools that not only detect threats in real time but also provide actionable insights to mitigate risks. Grafana, a leading open-source platform for monitoring and observability, has emerged as a critical player in enhancing security postures through real-time security analytics and alerts. This article delves into how Grafana can be leveraged to bolster your security defenses, offering step-by-step guidance and practical code snippets. Understanding Grafana's Role in Security Grafana allows users to visualize, query, and analyze logs and metrics from various sources like Prometheus, Elasticsearch, and Loki, in a single dashboard. This capability is invaluable for security teams seeking to centralize their monitoring efforts and gain a holistic view of their security landscape.

BPMN 2.0 and Jakarta EE: A Powerful Alliance

Aggregated on: 2024-03-14 13:27:17

A BPMN Workflow engine based on the Jakarta EE Framework forms a powerful and effective combination for developing enterprise applications with a focus on business process management. Both, Jakarta EE and BPMN 2.0 are standardized and widely supported. The scalability of Jakarta EE provides a secure foundation for building enterprise applications with robust business process management capabilities. This enables developers to leverage the strengths of both technologies to create efficient, interoperable, and maintainable BPM solutions. In the following, I will explain the aspects in more detail. Standardization Jakarta EE provides a standardized platform for building enterprise applications, offering a set of specifications and APIs. This standardization ensures portability and interoperability across different Jakarta EE-compliant application servers. This allows developers to work within a unified framework without the need to learn proprietary techniques. This not only streamlines the development process but also promotes a broader ecosystem where developers can focus on leveraging the standardized features, thus enhancing the overall efficiency and maintainability of the applications.

Test Parameterization With JUnit 5.7: A Deep Dive Into @EnumSource

Aggregated on: 2024-03-14 05:12:17

Parameterized tests allow developers to efficiently test their code with a range of input values. In the realm of JUnit testing, seasoned users have long grappled with the complexities of implementing these tests. But with the release of JUnit 5.7, a new era of test parameterization enters, offering developers first-class support and enhanced capabilities. Let's delve into the exciting possibilities that JUnit 5.7 brings to the table for parameterized testing! Parameterization Samples From JUnit 5.7 Docs Let's see some examples from the docs:

Cohesity Simplifies Data Management and Security for Developers

Aggregated on: 2024-03-14 04:12:17

As a developer, engineer, or architect, managing and securing growing volumes of data across multiple environments can be a complex and time-consuming task. Cohesity, a leading data management company, recently presented at the 54th IT Press Tour, highlighting how their platform simplifies data protection, management, and recovery, making life easier for technical professionals. The Challenge of Fragmented Data Management Cohesity's CEO Sanjay Poonen emphasized the challenges customers face due to the lack of a unified platform for data security and management. With data spread across multiple segments like data protection, security, mobility, access, and insights, organizations struggle with complexity, security risks, inefficiencies, and closed systems. Cohesity aims to address this $30B+ market opportunity by providing a converged solution.

Foundations of Data in the Cloud

Aggregated on: 2024-03-14 03:12:17

In the digital era, data is the new gold, and the cloud is the new frontier. As we embark on this journey through the cloud landscape, it's crucial to understand the bedrock upon which our data-driven aspirations are built. Just as a house needs a solid foundation before you can think about interior design, understanding the structure of data management in the cloud is essential before you can leverage it to its full potential. In this article, we'll dissect the layers of data management. Exploring the Layers of Data Management Imagine you're constructing a skyscraper. You wouldn't start with the penthouse, would you? Similarly, when we talk about managing data in the cloud, we must begin at the bottom and work our way up. Let's explore the layers that form the backbone of any cloud-based data strategy.

Bridging the Gap: The Limits of AI Guardrails in Addressing Human Bias

Aggregated on: 2024-03-14 02:12:17

The rapid evolution of generative AI, like GPT4 or Gemini, reveals both its power and the enduring challenge of bias. These advancements herald a new era of creativity and efficiency. However, they also spotlight the complex ways bias appears within AI systems, especially in generative technologies that mirror human creativity and subjectivity. This exploration ventures into the nuanced interplay between AI guardrails and human biases, scrutinizing the efficacy of these technological solutions in generative AI and pondering the complex landscape of human bias. Understanding AI Guardrails AI guardrails, initially conceptualized to safeguard AI systems from developing or perpetuating biases found in data or algorithms, are now evolving to address the unique challenges of generative AI. These include image and content generation, where bias can enter not only through data but also through how human diversity and cultural nuances are presented. In this context, guardrails extend to sophisticated algorithms ensuring fairness, detecting and correcting biases, and promoting diversity within the generated content. The aim is to foster AI systems that produce creative outputs without embedding or amplifying societal prejudices.