News Aggregator

GBase 8a Implementation Guide: Performance Optimization

Aggregated on: 2024-07-07 19:08:21

1. Hardware Configuration Recommendations CPU Ensure the BIOS settings are in non-power-saving mode to prevent the CPU from throttling. For servers using Intel CPUs that are not deployed in a multi-instance environment, it is recommended to disable the vm.zone_reclaim_mode parameter. To disable the NUMA parameter: Modify the current system value: echo 0 > /proc/sys/vm/zone_reclaim_mode Modify or add to the configuration file /etc/sysctl.conf: vm.zone_reclaim_mode = 0 Memory Configure the memory usage with the PCT parameter (gbase_memory_pct_target), which determines the percentage of the OS memory the gbased process can be used. After disabling the swap, reserve 20% for other programs. Configure the data heap, operator heap, and TEMP heap sizes as needed.

Build an Advanced RAG App: Query Rewriting

Aggregated on: 2024-07-06 14:53:21

In the last article, I established the basic architecture for a basic RAG app. In case you missed that, I recommend that you first read that article. That will set the base from which we can improve our RAG system. Also in that last article, I listed some common pitfalls that RAG applications tend to fail on. We will be tackling some of them with some advanced techniques in this article. To recap, a basic RAG app uses a separate knowledge base that aids the LLM in answering the user’s questions by providing it with more context. This is also called a retrieve-then-read approach.

Next-Gen Lie Detector: Stack Selection

Aggregated on: 2024-07-05 23:38:20

The first lie detector which relied on eye movement appeared in 2014. The Converus team together with Dr. John C. Kircher, Dr. David C. Raskin, and Dr. Anne Cook launched EyeDetect — a brand-new solution to detect deception quickly and accurately. This event became a turning point in the polygraph industry. In 2021, we finished working on a contactless lie detection technology based on eye-tracking and presented it at the International Scientific and Practical Conference. As I was part of the developers’ team, in this article, I would like to share some insights into how we worked on the creation of the new system, particularly how we chose our backend stack.

Contexts in Go: A Comprehensive Guide

Aggregated on: 2024-07-05 23:38:20

Contexts in Go provide a standard way to pass metadata and control signals between goroutines. They are mainly used to manage task execution time, data passing, and operation cancellation. This article covers different types of contexts in Go and examples of how to use them. Introduction to Contexts Contexts in Go are represented by the context.Context interface, which includes methods for getting deadlines, cancellation, values, and done channels. The primary package for working with contexts is context.

Applying the Pareto Principle To Learn a New Programming Language

Aggregated on: 2024-07-05 22:08:20

In this article, I will discuss how you can apply the Pareto principle to quickly learn a new programming language and start solving real-world problems while you develop a deeper understanding of the programming language. What Is the Pareto Principle? The Pareto principle, also known as the 80/20 rule, states that for many outcomes, roughly 80% of consequences come from 20% of causes. Applying this to a personal level, 80% of your work-related output could come from only 20% of your time. I first came to know about this principle after reading the book "The 80/20 Principle: The Secret to Achieving More with Less" written by Richard Koch.

Enhance IaC Security With Mend Scans

Aggregated on: 2024-07-05 20:53:20

Whether on the cloud or setting up your AIOps pipeline, automation has simplified the setup, configuration, and installation of your deployment. Infrastructure as Code(IaC) especially plays an important role in setting up the infrastructure. With IaC tools, you will be able to describe the configuration and state of your infrastructure that are desirable. The popular tools for IaC include Terraform, Pulumi, AWS CloudFormation, and Ansible; each of them has different possibilities for automating the deployment and management of infrastructure both in the cloud and on-premises. With the growing complexity of applications and heightened focus on security in software development, the tools SonarQube and Mend are more predisposed. As explained in my previous article, SonarQube is a code analysis tool aimed at helping developers have high-quality code by spotting bugs and vulnerabilities across several programming languages. SonarQube is very well integrated into pipelines of Continuous Integration/Continuous Deployment, producing continuous feedback while forcing enforcement of coding standards.

Strengthening Web Application Security With Predictive Threat Analysis in Node.js

Aggregated on: 2024-07-05 19:23:20

In today's digital landscape, web application security has become a paramount concern for developers and businesses. With the rise of sophisticated cyber-attacks, simply reacting to threats after they occur is no longer sufficient. Instead, predictive threat analysis offers a proactive method of identifying and eliminating security threats before they can create a dent. In this blog, I'll guide you through strengthening your web application security using predictive threat analysis in Node.js. Understanding Predictive Threat Analysis Predictive threat analysis involves using advanced algorithms and AI/ML techniques to analyze patterns and predict potential security threats. By leveraging historical data and real-time inputs, we can identify abnormal behaviors and vulnerabilities that could lead to attacks.

Diagnosing and Optimizing Running Slow SQL in GBase 8s Database

Aggregated on: 2024-07-05 19:23:20

Detecting and optimizing slow SQL queries is a critical step in enhancing database performance during routine maintenance. Slow SQL queries not only impact user experience but can also become a source of system performance bottlenecks. This article will discuss how to check for running slow SQL queries and provide corresponding optimization strategies. 1. Using SQL Queries To Detect Slow SQL 1.1. Basic SQL Querying By running specific SQL queries, you can quickly identify high-cost, potentially slow-executing SQL statements. This provides a basis for further analysis and optimization.

Essential Monitoring Tools, Troubleshooting Techniques, and Best Practices for Atlassian Tools Administrators

Aggregated on: 2024-07-05 17:53:20

Effective monitoring and troubleshooting are critical for maintaining the performance and reliability of Atlassian products like Jira and Confluence and software configuration management (SCM) tools like Bitbucket. This article explores leveraging various monitoring tools to identify, diagnose, and resolve issues in these essential development and collaboration platforms. Before we discuss the monitoring tools, let's clarify the importance of monitoring.

Step-By-Step Guide: Configuring IPsec Over SD-WAN on FortiGate and Unveiling Its Benefits

Aggregated on: 2024-07-05 16:23:20

First, let's explore the practical applications and advantages of deploying IPSec over SD-WAN. 1. Branch Office Connectivity Secure branch-to-branch communication: Securely connects branch offices to each other and to the headquarter using IPSec tunnels over SD-WAN, IPSec provides encrypted and reliable communication. High availability: Multiple ISP links (WAN) will ensure high availability and failover capabilities for critical branch office applications. 2. Remote Workforce Secure remote access: Employees can have secure access to their office network from home or remote locations, the connections are encrypted to corporate resources. Performance optimization: SD-WAN optimizes the network by routing traffic across the most effective paths 3. Cloud Connectivity Secure cloud access: Connectivity to the cloud is secure using IPSec tunnels with data encryption and security being its key features Hybrid cloud environment: SD-WAN can manage traffic between on-premise data centers and multiple cloud environments, providing reliable and secure data transfer. 4. IoT and Edge Devices Secure IoT communications: Data is transmitted securely from IoT devices through IPSec tunnels, protecting sensitive data. Edge computing: SD-WAN and IPSec facilitate data transfer to edge computing sites, ensuring proper handling of data with secure transfer. Steps To Implement FortiGate for IPSec Over SD-WAN Consider the following scenario

Pure Storage Empowers Developers, Engineers, and Architects With AI-Driven Storage Innovation

Aggregated on: 2024-07-05 16:23:20

Pure Storage Accelerate 2024 showcased groundbreaking innovations in enterprise storage technology, with a focus on AI integration, enhanced cyber resilience, and seamless cloud connectivity. The announcements and insights shared at the conference offer significant benefits for developers, engineers, and architects looking to optimize their data infrastructure for modern workloads. Let's dive into the key takeaways and how they can impact your work. AI-Powered Storage: Revolutionizing Data Management One of the most exciting announcements at Accelerate 2024 was the introduction of AI-powered storage solutions, designed to simplify management and boost performance for AI workloads. These innovations address the growing challenges organizations face in managing and optimizing storage for increasingly data-intensive AI and machine learning applications.

Getting Started With Microsoft Tool Playwright for Automated Testing

Aggregated on: 2024-07-05 14:38:20

Introduction to Playwright Testing Playwright is a powerful and versatile automation library developed by Microsoft. It enables developers and testers to automate web applications across multiple browsers with ease. This guide will walk you through the basics of using Playwright for test automation, from installation to writing and running your first tests. Playwright automation supports Chromium, Firefox, and WebKit, allowing you to test across different browsers. In this blog, we will deep dive into the various features of Playwright and how we can perform end-to-end testing with Playwright with detailed examples.

How To Remove Excel Worksheets Using APIs in Java

Aggregated on: 2024-07-05 14:38:20

Manipulating Excel documents with code is more than just a value-add process in many environments. It’s often a necessity, eliminating the manpower that would otherwise be committed to the monotonous task of adjusting large and complex spreadsheets in a predictable, cyclical way. Thanks to various open-source libraries (like Apache POI, for example), programmatically creating, manipulating, and deleting Excel data is reasonably straightforward for experienced developers. Libraries like these provide a layer of abstraction between the developer and the behind-the-scenes “button-pressing” required to make XLSX (open office Excel) files perform actions akin to what we might accomplish with points and clicks in the Excel application.

Packages for Store Routines in MariaDB 11.4

Aggregated on: 2024-07-05 00:53:20

MariaDB 11.4 introduced many advanced features. One that grabbed my attention is the general support of packages for stored routines. Although this was previously available by activating the Oracle compatibility mode, now the feature is available generally out-of-the-box. This will help you to significantly enhance the organization of database development within a MariaDB environment. Packages provide a modular approach to managing database logic. This addition aligns MariaDB more closely with other advanced database systems that have long utilized packages, such as Oracle, and sets it apart in that regard from other open-source relational databases that don’t support packages. Packages in MariaDB allow you to group related stored procedures, functions, variables, and other elements together into a single unit. This structure provides several benefits, including improved code organization, enhanced reusability, and simplified maintenance. Prior to this update, each stored procedure and function in MariaDB existed independently, which could lead to a cluttered schema and more complicated management of complex business logic when implemented in the database. Packages address this issue by providing a way to logically group related routines.

Knowledge Graph Enlightenment, AI, and RAG

Aggregated on: 2024-07-04 22:53:20

In the previous edition of the YotG newsletter, the wave of Generative AI hype was probably at its all-time high. Today, while Generative AI is still talked about and trialed, the hype is subsiding. Skepticism is settling in, and for good reason. Reports from the field show that only a handful of deployments are successful. At its current state, Generative AI can be useful in certain scenarios, but it’s far from being the be-all and end-all that was promised or imagined. The cost and expertise required to evaluate, develop, and deploy Generative AI-powered applications remains substantial.

Maintain Chat History in Generative AI Apps With Valkey

Aggregated on: 2024-07-04 22:53:20

A while back I wrote up a blog post on how to use Redis as a chat history component with LangChain. Since LangChain already had Redis chat history available as a component, it was quite convenient to write a client application. But, that's not the same with langchaingo which is a Go port of LangChain. I am going to walk through how to do the same, but for Valkey (not Redis). Valkey is an open-source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open-source Berkeley Software Distribution (BSD) three-clause license after the Redis license changes.

Building an Effective Zero Trust Security Strategy for End-To-End Cyber Risk Management

Aggregated on: 2024-07-04 21:08:19

You've probably heard a lot about zero-trust security lately, and for good reason. As we move more of our applications and data to the cloud, the traditional castle-and-moat approach to security just doesn't cut it anymore. This makes me come to the realization that we can no longer have a "trust but verify" approach, assuming everything behind the corporate firewall is safe. "Never trust. Always verify." Now that’s the stance we need to take going forward.

Phased Approach to Data Warehouse Modernization

Aggregated on: 2024-07-04 19:23:19

A modernized database will help you focus on building innovative solutions rather than investing your time and effort in managing these legacy systems. Based on the scale of your existing data warehouse processes or jobs, it can be an enormous task to modernize. Choosing a phased approach to this migration can mitigate any risks early on and can ensure a smooth journey overall.

From Backlog Manager to Product Manager [Video]

Aggregated on: 2024-07-04 19:23:19

TL; DR: Hands-on Agile #62: From Backlog Manager to Product Manager What does product success mean? In this energizing Hands-on Agile Meetup, David Pereira discussed the challenges of being a product manager and how to move from managing the Product Backlog to driving value. Expect thought-provoking thoughts, actionable insights, and a bit of unconventional product management.

Addressing the Challenges of Scaling GenAI

Aggregated on: 2024-07-04 17:23:19

Generative AI (GenAI) has shown immense potential in transforming various sectors, from healthcare to finance. However, its adoption at scale faces several challenges, including technical, ethical, regulatory, economic, and organizational hurdles. This paper explores these challenges and proposes prompt decomposition as a viable solution. By breaking down complex queries into more straightforward, manageable tasks, prompt decomposition can optimize resource utilization, improve transparency, and enhance the overall efficiency of GenAI systems. We also discuss other techniques that can facilitate the widespread adoption of GenAI. Introduction Generative AI (GenAI) models, such as GPT-4, have revolutionized how we approach complex problems in various fields. Despite their potential, scaling GenAI for broader applications presents significant challenges. This paper aims to identify these challenges and explore how prompt decomposition and other techniques can help overcome them.

Linting Excellence: How Black, isort, and Ruff Elevate Python Code Quality

Aggregated on: 2024-07-04 17:23:19

Linting and Its Importance Q: Can linting make my code better? A: No. If your logic is not good enough, it cannot help you, but it can surely make it look prettier.

The AI Revolution: Empowering Developers and Transforming the Tech Industry

Aggregated on: 2024-07-04 15:23:19

Artificial intelligence (AI) is not just revolutionizing the tech industry; it's fundamentally changing how developers, engineers, and architects approach their work. As AI continues to advance at a breakneck pace, it's crucial for tech professionals to understand its current state and future potential. In this post, we'll explore how AI is transforming software development practices, driving innovation, and reshaping the tech landscape. Most importantly, we'll emphasize how AI is not replacing humans, but rather empowering those who embrace it to become dramatically more efficient and productive.

Comparing Axios, Fetch, and Angular HttpClient for Data Fetching in JavaScript

Aggregated on: 2024-07-04 15:23:19

In modern web development, fetching data from APIs is a common task. There are multiple ways to achieve this, including using libraries like Axios, the native Fetch API, and Angular's HttpClient. In this article, we will explore how to use these tools for data fetching, including examples of standard application code and error handling. We will also touch upon other methods and conclude with a comparison. 1. Introduction to Data Fetching Data fetching is a critical part of web applications, allowing us to retrieve data from servers and integrate it into our apps. While the Fetch API is built into JavaScript, libraries like Axios and frameworks like Angular offer additional features and more straightforward syntax. Understanding these approaches helps developers choose the best tool for their specific needs.

Setting up Device Cloud: A Beginner’s Guide

Aggregated on: 2024-07-04 13:38:20

Testing on a wide range of real-world devices, operating systems, and OS versions can be difficult. You already know it’s true and so, device cloud is becoming essential more than ever. Furthermore, we can find mobile devices with varying screen sizes, memory, CPU power, and so on in the wild, which complicates matters. However, to provide great apps to your customers, you must conduct tests on real devices.

Build Your Business App With BPMN 2.0

Aggregated on: 2024-07-03 23:08:20

In this short tutorial, I will show how to build a business application with the Business Process Modelling Notation – BPMN. This approach differs from the usual data-centric approach as we focus on process management instead of data processing. Data Processing vs. Process Management When we follow the classic approach of building a Data-Centric Business Application, we usually first design a data schema. The data schema defines what kind of data can be managed. The application allows us to create new data sets, edit existing data, and, of course, search for data.

Flask Web Application for Smart Honeypot Deployment Using Reinforcement Learning

Aggregated on: 2024-07-03 23:08:20

Honeypots are the digital traps used by cybersecurity professionals to lure in attackers. These traps imitate real systems and services, such as web servers or IoT devices, to appear as genuine targets. The goal of a honeypot is to deceive attackers into interacting with them, enabling security experts to observe and analyze their behavior. Challenge and Proposed Solution Traditional honeypots have limitations as they can be easily identified by skilled attackers and struggle to adapt to new threats. By applying RL, we can develop a smart honeypot deployment system that learns and adapts to emerging threats in real time. Imagine a cybersecurity team using a Reinforcement Learning-driven honeypot to combat phishing attacks. The honeypot monitors incoming emails and adjusts its responses based on the perceived threat level of each email. Over time, it learns to identify phishing attempts more effectively and assists the team in understanding how attackers alter their tactics.

Javac and Java Katas, Part 2: Module Path

Aggregated on: 2024-07-03 21:23:19

This is Part 2, a continuation of Javac and Java Katas, Part 1: Class Path, where we will run through the same exercises (katas) but this time the main focus will be the usage of the Java Platform Module System. Getting Started As in Part 1, all commands in this article are executed inside a Docker container to make sure that they work and to mitigate any environment-specific setup.

Data Integration Technology Maturity Curve 2024-2030

Aggregated on: 2024-07-03 21:23:19

When it comes to data integration, some people may wonder what there is to discuss — isn't it just ETL? That is, extracting from various databases, transforming, and ultimately loading into different data warehouses. However, with the rise of big data, data lakes, real-time data warehouses, and large-scale models, the architecture of data integration has evolved from the ETL of the data warehouse era to the ELT of the big data era and now to the current stage of EtLT. In the global tech landscape, emerging EtLT companies like FiveTran, Airbyte, and Matillion have emerged, while giants like IBM have invested $2.3 billion in acquiring StreamSets and webMethods to upgrade their product lines from ETL to EtLT (DataOps).

Understanding Properties of Zero Trust Networks

Aggregated on: 2024-07-03 19:38:19

Zero Trust is a well-known but 'hard-to-implement' paradigm in computer network security. As the name suggests, Zero Trust is a set of core system design principles and concepts that seek to eliminate the practice of implicit trust-based security. The core idea of Zero Trust is very simple, Trust Nothing and Verify Continuously, period! In my view, the two defining principles of Zero Trust are the following. At any given point in time, any request, transaction, or operation (and of course the subject behind them, whether human or programmatic),

The Art of Manual Regression Testing

Aggregated on: 2024-07-03 19:38:19

The tech world of software development is characterized by fast-paced and constant evolution. Code keeps changing, new features are introduced, and bugs are fixed frequently. These changes are crucial for improving the overall development structure. However, they can also upset the ongoing functionality. Manual regression testing — a thorough framework that ensures the stability and reliability of your software while navigating through the wave of changes. It systematically retests the existing developed and tested software features once they go through the changes again.

Step-By-Step Guide To Crafting an Effective Bug Report

Aggregated on: 2024-07-03 17:38:19

Bugs are an integral part of the development process. Along with the bugs you need to write a bug report. So in this blog post, we are sharing some effective tips and tricks to write bug reports. Bugs are bound to happen when you’re developing an application, and no matter how hard you try to avoid them, you’ll still encounter some glitches in your code at some point or another. You may be tempted to fix the bugs or ignore them altogether, but ignoring bugs will only make the problems worse over time and cost you even more time and effort in the long run.

Mastering Distributed Caching on AWS: Strategies, Services, and Best Practices

Aggregated on: 2024-07-03 17:38:19

Distributed caching is a method for storing and managing data across multiple servers, ensuring high availability, fault tolerance, and improved read/write performance. In cloud environments like AWS (Amazon Web Services), distributed caching is pivotal in enhancing application performance by reducing database load, decreasing latency, and providing scalable data storage solutions. Understanding Distributed Caching Why Distributed Caching? With applications increasingly requiring high-speed data processing, traditional single-node caching systems can become bottlenecks. Distributed caching helps overcome these limitations by partitioning data across multiple servers, allowing simultaneous read/write operations, and eliminating points of failure associated with centralized systems.

Testing Mobile Apps: Step-By-Step Guide

Aggregated on: 2024-07-03 17:38:19

Technology is growing every day and so is the use of mobile phones in our lives. For as little as ordering groceries for our homes to handling our finances through banking and other financial apps, mobile applications are an integral part of our daily activities. With such rapid growth and absorption of mobile apps in our day-to-day activities, ensuring their quality and functionality has become paramount. Mobile testing is a crucial process to validate the performance, usability, and compatibility of mobile applications across different devices, operating systems, and network conditions. In this article, we will navigate through a comprehensive overview of mobile app testing, covering its importance, types, challenges, and best practices. What Is the Importance of Mobile App Testing? Mobile applications can be tricky as compared to their desktop counterparts. Similarly testing mobile applications can come with its own set of challenges, which is why testing the applications thoroughly becomes all the more important. Some of the reasons that explain the importance of mobile app testing are:

Pure Storage Tackles AI and HPC Data Challenges With Flexible Storage Solutions

Aggregated on: 2024-07-03 17:38:19

Pure Storage's Accelerate 2024 conference showcased the company's latest innovations aimed at empowering developers, engineers, and architects with faster, more flexible access to data for AI, high-performance computing (HPC), and other demanding workloads. The Day 2 keynote highlighted Pure's focus on addressing the evolving needs of modern applications and the data challenges they present. A Unified Platform for AI Data Storage Rob Lee, CTO of Pure Storage, emphasized the company's commitment to providing a unified data storage platform for all AI needs. With over 100 AI customers already leveraging Pure's solutions, the company has gained valuable insights into the diverse strategies organizations are employing in their AI journeys.

A Comprehensive Guide To Building and Managing a White-Label Platform

Aggregated on: 2024-07-03 13:38:19

Today we will be building a white-label system that can accommodate any number of subsidiaries. It requires careful planning and a flexible architecture. Here are some ideas to help you create a system that is easily adaptable for different subsidiaries: Modular Architecture Design your system with a modular architecture that allows easy integration of new features or modules. Each subsidiary can customize the modules without affecting the core functionality.

Trigger Salesforce Assignment Rules and Send Notifications From MuleSoft

Aggregated on: 2024-07-03 00:53:18

In many MuleSoft integration projects, there is a requirement to create lead or case records in Salesforce. Organizations typically use the lead assignment rule and case assignment rule to automatically assign new leads or cases to the users or queue. When we create leads or cases from MuleSoft using the Salesforce connector, by default it does not trigger the assignment rules and does not send email notifications to owners.

An Effective Way To Start a NextJS Project

Aggregated on: 2024-07-03 00:53:18

Choosing a framework for starting a new project can be quite challenging, considering the many frameworks and tools available today. Developers who want to build high-performance and scalable web applications often choose Next.js over others. No wonder, since Next.js is a React framework created by Vercel, offers a comprehensive solution for building server-side rendered (SSR) and static web applications. Here are some of the key advantages: Server-Side Rendering (SSR) and Static Site Generation (SSG): Next.js supports both SSR and SSG, allowing developers to choose the best rendering method for their needs. SSR improves SEO and page load speed by rendering pages on the server, while SSG can pre-render pages at build time for faster performance. Built-in routing: Next.js simplifies routing with its file-based routing system. By organizing your files and folders in the pages directory, you can automatically create corresponding routes, eliminating the need for an external router library. Optimized performance: Next.js comes with a host of performance optimizations out of the box, including code splitting, automatic static optimization, and image optimization, ensuring your application runs efficiently. Starting from scratch can be time-consuming, especially when configuring essential features like authorization and CRUD operations. A proper approach is to use a ready-made boilerplate that includes these settings, allowing you to focus on building features rather than setting up the basics. By applying a ready-to-use Next.js boilerplate, you would get:

How to Configure Custom Metrics in AWS Elastic Beanstalk Using Memory Metrics Example

Aggregated on: 2024-07-02 21:08:18

Recently, I encountered a task where a business was using AWS Elastic Beanstalk but was struggling to understand the system state due to the lack of comprehensive metrics in CloudWatch. By default, CloudWatch only provides a few basic metrics such as CPU and Networks. However, it’s worth noting that Memory and Disk metrics are not included in the default metric collection. Fortunately, each Elastic Beanstalk virtual machine (VM) comes with a CloudWatch agent that can be easily configured to collect additional metrics. For example, if you need information about VM memory consumption, which AWS does not provide out of the box, you can configure the CloudWatch agent to collect this data. This can greatly enhance your visibility into the performance and health of your Elastic Beanstalk environment, allowing you to make informed decisions and optimize your application’s performance.

Performance and Scalability Analysis of Redis and Memcached

Aggregated on: 2024-07-02 21:08:18

Speed and scalability are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. However, the question arises of choosing the best one. This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. We compare throughput, operations per second, and latency under different loads, namely the P90 and P99 percentiles. We investigate deeper in a clustered environment and try identifying the scalability characteristics of both Redis and Memcached, including the implementation and management complexities of either. This level of comparison detail will assist decision-makers with the information they would need to make a more appropriate choice of an in-memory data store for their needs.

DDN and Tintri: Powering the Future of AI and Enterprise Storage

Aggregated on: 2024-07-02 21:08:18

As the demand for high-performance storage solutions continues to grow, especially in the realms of artificial intelligence (AI) and machine learning (ML), industry leaders DDN and Tintri are stepping up to meet the challenge. At the 56th IT Press Tour, these companies unveiled their latest innovations, designed to empower developers, engineers, and architects with cutting-edge tools to manage and leverage data at unprecedented scales. Let's dive into how these advancements are set to transform the landscape of data management and AI infrastructure. DDN: Revolutionizing AI Storage at Scale DDN, a longtime leader in high-performance storage solutions, is making significant strides in the AI storage space. Their approach is twofold, focusing on both massive-scale operations and enterprise-level AI needs.

Outsmarting Cyber Threats: How Large Language Models Can Revolutionize Email Security

Aggregated on: 2024-07-02 18:23:18

Email remains one of the most common vectors for cyber attacks, including phishing, malware distribution, and social engineering. Traditional methods of email security have been effective to some extent, but the increasing sophistication of attackers demands more advanced solutions. This is where Large Language Models (LLMs), like OpenAI's GPT-4, come into play. In this article, we explore how LLMs can be utilized to detect and mitigate email security threats, enhancing overall cybersecurity posture. Understanding Large Language Models What Are LLMs? LLMs are artificial intelligence models that are trained on vast amounts of text data to understand and generate human-like text. They are capable of understanding context and semantics and can perform a variety of language-related tasks.

Apache Hudi: A Deep Dive With Python Code Examples

Aggregated on: 2024-07-02 18:23:18

In today's data-driven world, real-time data processing and analytics have become crucial for businesses to stay competitive. Apache Hudi (Hadoop Upserts and Incremental) is an open-source data management framework that provides efficient data ingestion and real-time analytics on large-scale datasets stored in data lakes. In this blog, we'll explore Apache Hudi with a technical deep dive and Python code examples, using a business example for better clarity. Table of Contents: Introduction to Apache Hudi Key Features of Apache Hudi Business Use Case Setting Up Apache Hudi Ingesting Data with Apache Hudi Querying Data with Apache Hudi Security and Other Aspects Security Performance Optimization Monitoring and Management Conclusion 1. Introduction to Apache Hudi Apache Hudi is designed to address the challenges associated with managing large-scale data lakes, such as data ingestion, updating, and querying. Hudi enables efficient data ingestion and provides support for both batch and real-time data processing.

How a Project Manager Can Increase Software Quality With Agile Practices

Aggregated on: 2024-07-02 18:23:18

Quality is the pillar that supports any software product. If a platform works poorly, both the business and the customers fail, as they do not get what they are looking for or satisfy their most immediate needs. That's why, as customer demands and market competitiveness increase, software teams must adapt quickly to deliver high-quality products. In this scenario, Agile practices can make an important difference and are the basis of project managers today, since they can not only improve efficiency through the Agile methodology but also promote software quality in a notable way.

Using Agile To Recover Failing Projects

Aggregated on: 2024-07-02 18:23:18

Did you know that up to 84% of Waterfall and 47% of Agile projects either fail or don’t meet expected results? That may sound like an alarming number, but the point of this is not to be a doomsayer or to focus on the perceived negative. What those numbers reflect is an opportunity. An opportunity to turn a seemingly failed project into a flourishing one, to learn lessons, and to leverage the things that make Agile principles work so smoothly when they do. The name for Agile methodologies was chosen well and done so for a reason. To be agile is to be quick on your feet, to be able to adapt quickly, and to be able to solve unpredictable problems while keeping momentum. Just like in a fast-paced race, when things start to go wrong, they tend to do so quickly. Agile problems require agile solutions — to be solved as speedily as they appear or change or ripple outwards.

Theme-Based Front-End Architecture Leveraging Tailwind CSS for White-Label Systems

Aggregated on: 2024-07-02 14:23:18

Tailwind CSS can be a helpful tool for creating multiple themes in your React app. You can define utility classes for each theme and conditionally apply them based on user preferences or any other criteria. This allows you to easily switch between themes without writing custom styles for each one. To implement multiple themes with Tailwind CSS in a React app, you can follow these general steps:

Operational Excellence Best Practices

Aggregated on: 2024-07-02 14:23:18

In the summer of 2023, my team entered into a code yellow to stabilize the health of the service we own. This service powers the visualization on the dashboard product. The decision was made following high-severity incidents impacting the availability of the service. For context, the service provides aggregation data to dashboard visualizations by gathering aggregations through the data pipeline. This is a critical path service for dashboard rendering. Any impact on the availability of this service manifests itself as dashboard viewers experiencing delays in rendering visualizations and rendering failures in some cases.

A Look Into Netflix System Architecture

Aggregated on: 2024-07-02 02:23:18

Ever wondered how Netflix keeps you glued to your screen with uninterrupted streaming bliss? Netflix Architecture is responsible for the smooth streaming experience that attracts viewers worldwide behind the scenes. Netflix's system architecture emphasizes how important it is to determine how content is shaped in the future. Join us on a journey behind the scenes of Netflix’s streaming universe! Netflix is a term that means entertainment, binge-watching, and cutting-edge streaming services. Netflix’s rapid ascent to popularity may be attributed to its vast content collection, worldwide presence, and resilient and inventive architecture.

GBase 8a Implementation Guide: Resource Assessment

Aggregated on: 2024-07-02 02:23:18

1. Disk Storage Space Evaluation The storage space requirements for a GBase cluster are calculated based on the data volume of the business system, the choice of compression algorithm, and the number of cluster replicas. The data volume of a business system usually includes the following aspects: Historical data volume Incremental data volume and the size of each increment Data storage period and total data volume for the entire period Data growth rate and reserved storage space Example Considering the above aspects, assume that the total data volume for the entire period of a certain business system is 30TB. The calculation method for the physical disk capacity of the GBase cluster is as follows:

Handling “Element Is Not Clickable at Point” Exception in Selenium

Aggregated on: 2024-07-01 22:08:18

In Selenium automation testing, locators help identify and interact with any element on the web page. For example, ID, Name, ClassName, XPath, CSS Selector, TagName, LinkText, and Partial LinkText are widely used to help you interact with the elements on the web page. Identifying the elements may be an easy task, but your tests might fail due to the state of the WebElement (e.g., the element is not visible or the element is not clickable at point, etc.). In such cases, the tests might throw different Selenium exceptions such as NoSuchElementException, ElementNotVisibleException, etc.

Terraform Tips for Efficient Infrastructure Management

Aggregated on: 2024-07-01 22:08:18

Terraform is a popular tool for defining and provisioning infrastructure as code (IaC), improving consistency, repeatability, and version control. But you need to know how to use it properly to extract maximum value from it as an infrastructure management tool. In this article, we explore best practices for using Terraform to streamline your infrastructure management effectively and avoid common pitfalls.