News Aggregator

Automating Kubernetes Workload Rightsizing With StormForge

Aggregated on: 2025-01-06 15:25:44

As Kubernetes workloads grow in complexity, ensuring optimal resource utilization while maintaining performance becomes a significant challenge. Over-provisioning leads to wasted costs, while under-provisioning can degrade application performance. StormForge offers a machine learning-driven approach to automate workload rightsizing, helping teams strike the perfect balance between cost and performance. This article provides a comprehensive guide to implementing StormForge for Kubernetes workload optimization.

Python Automation Testing With Examples

Aggregated on: 2025-01-06 14:25:44

When it comes to automating front-end tests, choosing the ideal programming language becomes extremely crucial. Python is one such language that tops the list, owing to ease of use and extensive community support. Moreover, Python automation testing lets you harness the capabilities offered by popular libraries and frameworks like Selenium, pytest, and Robot, amongst others. Using Selenium with Python helps in making the most of Selenium’s powerful browser automation capabilities and Python’s simplicity and extensibility. Overall, Python automation testing is widely used by QAs all over, especially with Selenium WebDriver.

Setting Up Local Kafka Container for Spring Boot Application

Aggregated on: 2025-01-06 13:25:44

In today's microservices and event-driven architecture, Apache Kafka is the de facto for streaming applications. However, setting up Kafka for local development in conjunction with your Spring Boot application can be tricky, especially when configuring it to run locally. Spring Boot application provides support for Kafka integration through the spring-kafka maven package. To work with spring-kafka, we need to connect to the Kafka instance. Typically, during development, we would just run a local Kafka instance and build against it. But with Docker Desktop and containers, things are much easier to set up than running a local Kafka instance. This article guides us through the steps for setting up the local Kafka container with the Spring Boot application.

Top 5 Software Architecture Books to Transform Your Career in 2025

Aggregated on: 2025-01-06 12:25:44

Welcome to 2025! As we enter this new year, it's the perfect time to expand your software architecture skills. Software architecture is a critical skill for developers, not just for those who aspire to become architects. Understanding the principles and practices of software architecture empowers developers to design scalable, maintainable, and adaptable systems. Learning software architecture is not just about taking on the title of architect; it's about enhancing your ability to make informed decisions that influence the success of a project. Since software architecture and design are deeply intertwined, changes in one often impact the other. By mastering architecture, you'll be better equipped to adapt to these changes, making you a more effective and valuable developer. Moreover, investing in architectural knowledge can significantly boost your career by preparing you for leadership roles and complex technical challenges.

Revolutionize Stream Processing With Data Fabric

Aggregated on: 2025-01-06 11:25:44

A data fabric is a system that links and arranges data from many sources so that it is simple to locate, utilize, and distribute. It connects everything like a network, guaranteeing that our data is constantly available, safe, and prepared for use. Assume that our data is spread across several "containers" (such as databases, cloud storage, or applications). A data fabric acts like a network of roads and pathways that connects all these containers so we can get what we need quickly, no matter where it is. On the other hand, stream processing is a method of managing data as it comes in, such as monitoring sensor updates or evaluating a live video feed. It processes data instantaneously rather than waiting to gather all of it, which enables prompt decision-making and insights.

Graph Database Pruning for Knowledge Representation in LLMs

Aggregated on: 2025-01-06 10:25:44

Large language models (LLMs) have drastically advanced natural language processing (NLP) by learning complex language patterns from vast datasets. Yet, when these models are combined with structured knowledge graphs — databases designed to represent relationships between entities — challenges arise. Knowledge graphs can be incredibly useful in providing structured knowledge that enhances an LLM's understanding of specific domains. However, as these graphs grow larger, they often become cumbersome, reducing their efficiency when queried. For example, an LLM tasked with answering questions or making decisions based on knowledge from a graph may take longer to retrieve relevant information if the graph is too large or cluttered with unnecessary details. This can increase computation times and limit the model’s scalability. A promising approach to address this issue is pruning, a method of selectively reducing the size of knowledge graphs while preserving their most relevant and important connections.

Version Control in Agile: Best Practices for Teams

Aggregated on: 2025-01-06 09:25:44

In the fast-moving world of Agile development, keeping track of code can become a challenge. Agile thrives on quick iterations, flexibility, and collaboration, but none of that works without proper version control. Think of version control as the backbone of any Agile project, keeping everything organized and allowing teams to work in parallel without running into problems. When done right, it enables teams to maintain the speed that Agile demands while avoiding the chaos that can come with untracked changes or messy merges. For software development teams, the stakes are high. If version control practices aren’t solid, it can lead to frustrating delays, unnecessary conflicts, or even broken builds that throw off entire projects. But with the right approach, version control becomes an asset that streamlines collaboration and makes everyone’s work easier.

Event-Driven AI: Building a Research Assistant With Kafka and Flink

Aggregated on: 2025-01-06 08:25:44

The rise of agentic AI has fueled excitement around agents that autonomously perform tasks, make recommendations, and execute complex workflows blending AI with traditional computing. But creating such agents in real-world, product-driven environments presents challenges that go beyond the AI itself. Without careful architecture, dependencies between components can create bottlenecks, limit scalability, and complicate maintenance as systems evolve. The solution lies in decoupling workflows, where agents, infrastructure, and other components interact fluidly without rigid dependencies.

Efficient Asynchronous Processing Using CyclicBarrier and CompletableFuture in Java

Aggregated on: 2025-01-03 23:25:42

In today’s world enterprise applications increasingly require the ability to asynchronously process large datasets. The processing of data must correlate and compute results at the same time. This article illustrates how CyclicBarrier and CompletableFuture, combined, perform efficiently in processing and producing desired results from large datasets. Why to Use Asynchronous Processing? Asynchronous processing lets tasks run without blocking others. Unlike synchronous processing, which runs tasks in order, it allows multiple tasks to proceed at once. This method is handy for tasks that need to wait for external resources, like network requests. It boosts efficiency and responsiveness in applications.

Kubernetes in the Cloud: A Guide to Observability

Aggregated on: 2025-01-03 21:25:42

As per the saying “If you don’t measure it, you can’t manage it” by Deming, observability and monitoring is our way to measure our services. Kubernetes is pretty revolutionary when it comes to the way it handles deployments and scales. But the way containers are continuously created and destroyed can sometimes present challenges with monitoring. This is where observability comes into play, offering critical insights into how your system is performing and why issues occur.

Mastering High-Risk GitHub Pull Requests: Review, Rollout Strategies, and Lessons Learned

Aggregated on: 2025-01-03 19:25:42

In modern software development, GitHub has emerged as a cornerstone platform for version control and collaborative coding. The practice of creating and reviewing pull requests (PRs) on GitHub ensures that teams can collaborate effectively while maintaining code quality. However, the review and rollout of high-risk pull requests (PRs) on GitHub present significant challenges to software development teams, particularly when the changes involve critical system components, security implications, performance optimization, or major updates to third-party dependencies. These PRs have a higher probability of introducing unforeseen issues into the codebase, which could compromise the stability, security, and performance of the system. Consequently, addressing high-risk pull requests requires a disciplined and rigorous approach to ensure successful integration with minimal disruption.

Unsupervised Learning Methods for Analyzing Encrypted Network Traffic

Aggregated on: 2025-01-03 17:25:42

Unsupervised learning methods have emerged as invaluable tools for analyzing encrypted network traffic. These techniques are particularly useful because they don't require labeled data, which is often difficult or impossible to obtain for encrypted communications. Let's explore how unsupervised learning methods are applied to encrypted traffic analysis: Clustering Algorithms Clustering algorithms are widely used for encrypted traffic analysis due to their ability to group similar traffic flows without prior knowledge of their classification.

Demystifying Big O Notation

Aggregated on: 2025-01-03 15:10:42

Understanding how efficient your code is just by looking at it can be tricky. Thankfully, the brilliant minds before us have come up with a neat trick: Big O notation. This fancy little concept helps us measure how much time and space an algorithm will consume based on its input. So, why should we care? Well, as engineers, our job boils down to two things: solving problems that have never been solved before or solving problems that have been solved but in a more efficient way. Knowing Big O helps us make smarter decisions about which algorithms to use. It’s like having a cheat sheet for predicting how much time and memory your code will need, depending on the input size. Sounds good, right? Let’s break it down with a simple example: O(n), also known as linear time complexity.

How to Resolve SQL Server 'Database cannot be Opened' Issue Due to MDF Corruption?

Aggregated on: 2025-01-03 13:10:42

Master Database File (MDF) is the primary database file in MS SQL Server that stores all the data, including views, tables, stored procedures, foreign keys, and primary keys. Sometimes, while opening the MDF file, you may face an issue where the SQL Server database cannot be opened and encounter an error, like the one given below: SQL Server error 5171: MDF is not a primary database file Unable to open the file xxxxx.mdf. Operating system error 5: (Access is denied)” Event ID 824: SQL Server detected a logical consistency-based I/O error Msg 8114, Level 16, State 5, Line 2: Error converting data type varchar to numeric Such errors usually occur when there is corruption in the MDF file. In this article, we'll explain the possible reasons behind the corruption of MDF files and show how to repair corrupted MDF files and resolve the issue.

Decoding the Role of a Delivery Manager: Ensuring Smooth Operations Across the Software Development Lifecycle

Aggregated on: 2025-01-02 20:40:42

In software development, the term “delivery” often sparks a range of interpretations. Ask ten people what it means, and you might receive ten distinct answers. Yet, despite these varied perspectives, one thing remains constant: the role of a delivery manager is pivotal in turning ideas into reality. They are the glue that holds projects together, ensuring every step of the journey — from concept to launch — unfolds as smoothly as possible. This article explores the delivery manager’s responsibilities, their role within a team, and the profound impact they have on ensuring project success.

Optimizing GitHub Access Management for Enterprises: Enhancing Security, Scalability, and Continuity with Jenkins GitHub App Authentication and Load Balancing

Aggregated on: 2025-01-02 20:25:42

As enterprises expand their software development practices and scale their DevOps pipelines, effective management of continuous integration (CI) and continuous deployment (CD) processes becomes increasingly important. GitHub, as one of the most widely used source control platforms, plays a central role in modern development workflows. It is critical for managing code repositories, automating tasks, and enabling collaboration among development teams. To streamline CI/CD activities and ensure smoother operations, many organizations implement a centralized GitHub admin account that oversees repository management, integrations, and automation. This method helps maintain control and consistency across development environments. However, such an approach can introduce security vulnerabilities, scalability challenges, and operational risks, particularly when it comes to handling increasing complexity and ensuring high availability.

Troubleshooting Kubernetes Pod Crashes: Common Causes and Effective Solutions

Aggregated on: 2025-01-02 19:40:42

Kubernetes has become the de facto standard for container orchestration, offering scalability, resilience, and ease of deployment. However, managing Kubernetes environments is not without challenges. One common issue faced by administrators and developers is pod crashes. In this article, we will explore the reasons behind pod crashes and outline effective strategies to diagnose and resolve these issues. Common Causes of Kubernetes Pod Crashes 1. Out-of-Memory (OOM) Errors Cause Insufficient memory allocation in resource limits. Containers often consume more memory than initially estimated, leading to termination.

Optimizing Performance in Azure Cosmos DB: Best Practices and Tips

Aggregated on: 2025-01-02 19:25:42

When we are working with a database, optimization is crucial and key in terms of application performance and efficiency. Likewise, in Azure Cosmos DB, optimization is crucial for maximizing efficiency, minimizing costs, and ensuring that your application scales effectively. Below are some of the best practices with coding examples to optimize performance in Azure Cosmos DB. 1. Selection of Right Partition Key Choosing an appropriate partition key is vital for distributed databases like Cosmos DB. A good partition key ensures that data is evenly distributed across partitions, reducing hot spots and improving performance.

Avoiding If-Else: Advanced Approaches and Alternatives

Aggregated on: 2025-01-02 18:40:42

Mostly, developers make use of if-else statements to cater to differing circumstances. Even so, this could prove itself quite troublesome especially when more conditions arise. Putting additional business needs into these chains might cause errors while making the code more complicated than necessary. It is advisable that we anticipate eventually creating solutions that could change or grow without being difficultly updated in order not only to ensure the robustness of one’s system but also to enable its adaptation within unforeseen circumstances. Our codes will then remain potent and readily adaptable to the needs ahead us in this case. In this article, we’ll delve into methods for managing functions in a calculator using Java in all examples. The aim is to enhance the processing of operations (such as addition, subtraction, multiplication, and division) in our coding. We’ll incorporate techniques by using a sample calculator that receives a request with an operation type and two values, including if-else statements, switch cases, and the strategy design pattern. The main focus will be on describing the concepts and benefits of each method.

Software Development Trends to Follow in 2025

Aggregated on: 2025-01-02 18:25:42

2025 is knocking on the door, and software development is changing at a rapid pace due to advanced technologies. Tech advancements like AI have transformed how developers create, deploy, and scale software. To stay ahead of the curve, developers need to stay on top of the latest software development trends. In this blog post, I am going to shed light on software development trends you need to watch in 2025.

Stop Being Afraid of Databases

Aggregated on: 2025-01-02 17:40:42

Ensuring database reliability can be difficult. Our goal is to speed up development and minimize rollbacks. We want developers to be able to work efficiently while taking ownership of their databases. Achieving this becomes much simpler when robust database observability is in place. Let’s explore how. Do Not Wait With Checks Teams aim to maintain continuous database reliability, focusing on ensuring their designs perform well in production, scale effectively, and allow for safe code deployments. To achieve this level of quality, they rely on a range of practices, including thorough testing, code reviews, automated CI/CD pipelines, and component monitoring.

Kubernetes Deployments With DMZ Clusters: An Essential Guide

Aggregated on: 2025-01-02 13:25:42

As organizations increasingly adopt Kubernetes for managing microservices and containerized workloads, securing these deployments becomes paramount. A Demilitarized Zone (DMZ) cluster, a proven security architecture that isolates public-facing services from sensitive internal resources, ensures robust protection against external threats. In this article, we’ll explore the concept of DMZ clusters in Kubernetes, their importance, and how to implement these robust security measures effectively. What Is a DMZ Cluster in Kubernetes? A DMZ is a network boundary that exposes specific services to external traffic while safeguarding the internal network. In Kubernetes, this architecture is implemented by creating separate clusters for public-facing applications and internal workloads, ensuring limited and tightly controlled communication between them.

Integrating Lighthouse Test Automation Into Your CI/CD Pipeline

Aggregated on: 2025-01-01 19:10:41

Web performance can make or break your digital presence. While developers constantly push new features and updates, maintaining consistent quality across deployments remains a challenge. Lighthouse test automation has emerged as a powerful solution, transforming how development teams approach quality assurance and performance optimization. Understanding Lighthouse Test Automation Fundamentals Lighthouse test automation serves as the foundation for comprehensive performance testing. When integrated into continuous integration workflows, Google Lighthouse provides consistent, objective measurements of web application performance. This integration enables teams to catch performance regressions before they impact users.

Incremental Jobs and Data Quality Are On a Collision Course

Aggregated on: 2025-01-01 18:10:41

If you keep an eye on the data space ecosystem like I do, then you’ll be aware of the rise of DuckDB and its message that big data is dead. The idea comes from two industry papers (and associated data sets), one from the Redshift team (paper and dataset) and one from Snowflake (paper and dataset). Each paper analyzed the queries run on their platforms, and some surprising conclusions were drawn — one being that most queries were run over quite small data. The conclusion (of DuckDB) was that big data was dead, and you could use simpler query engines rather than a data warehouse. It’s far more nuanced than that, but data shows that most queries are run over smaller datasets. Why?

CI/CD Pipelines for Kubernetes Using GitLab CI

Aggregated on: 2025-01-01 17:10:41

Modern software development demands rapid deployment cycles, scalability, and resilience. Kubernetes has emerged as the go-to orchestration platform, enabling scalable containerized application management. When combined with GitLab CI/CD pipelines, Kubernetes deployments become automated, repeatable, and reliable. This article explores the technical details of setting up CI/CD pipelines for Kubernetes using GitLab CI.

Logical Reasoning in Network Problems

Aggregated on: 2025-01-01 16:10:41

Classic Case 1 Many software professionals lack in-depth knowledge of TCP/IP logic reasoning, which often leads to misidentifying problems as mysterious problems. Some are discouraged by the complexity of TCP/IP networking literature, while others are misled by confusing details in Wireshark. For instance, a DBA facing performance problems might misinterpret packet capture data in Wireshark, erroneously concluding that TCP retransmissions are the cause. Figure 1. Packet capture screenshot provided by DBA suspecting retransmission problems

Boosting Performance and Efficiency: Enhancing React Applications With GraphQL Over REST APIs

Aggregated on: 2025-01-01 15:10:41

In web development, optimizing and scaling applications have always been an issue. React.js had extraordinary success in front-end development as a tool, providing a robust way to create user interfaces. But it gets complicated with growing applications, especially when it comes to multiple REST API endpoints. Concerns such as over-fetching, where excessive data is required, can be a source of performance bottlenecks and a poor user experience. Among the solutions to these challenges is adopting the use of GraphQL with React applications. If your backend has multiple REST endpoints, then introducing a GraphQL layer that internally calls your REST API endpoints can enhance your application from overfetching and streamline your frontend application. In this article, you will find how to use it, the advantages and disadvantages of this approach, various challenges, and how to address them. We will also dive deeper into some practical examples of how GraphQL can help you improve the ways you work with your data.

Driving RAG-Based AI Infrastructure

Aggregated on: 2025-01-01 14:10:41

Large language models (LLMs) have transformed AI with their ability to process and generate human-like text. However, their static pre-trained knowledge presents challenges for dynamic, real-time tasks requiring current information or domain-specific expertise. Retrieval-augmented generation (RAG) addresses these limitations by integrating LLMs with external data sources. When paired with AI agents that orchestrate workflows, RAG-based infrastructure becomes a powerful tool for real-time decision-making, analytics, and automation. System Architecture

Understanding JavaScript Promises: A Comprehensive Guide to Create Your Own from Scratch

Aggregated on: 2025-01-01 13:10:41

Asynchronous programming is an essential pillar of modern web development. Since the earliest days of Ajax, developers have grappled with different techniques for handling asynchronous tasks. JavaScript’s single-threaded nature means that long-running operations — like network requests, reading files, or performing complex calculations — must be done in a manner that does not block the main thread. Early solutions relied heavily on callbacks, leading to issues like “callback hell,” poor error handling, and tangled code logic. Promises offer a cleaner, more structured approach to managing async operations. They address the shortcomings of raw callbacks by providing a uniform interface for asynchronous work, enabling easier composition, more readable code, and more reliable error handling. For intermediate web engineers who already know the basics of JavaScript, understanding promises in depth is critical to building robust, efficient, and maintainable applications.

Data Lake vs. Data Warehouse vs. Data Lakehouse

Aggregated on: 2024-12-31 23:10:41

Let us look into the strengths and weaknesses of leading data storage solutions. Data is central to modern business and society. Depending on what sort of leaky analogy you prefer, data can be the new oil, gold, or even electricity. Of course, even the biggest data sets are worthless and might even be a liability if they aren’t organized properly.

Streamlining Database Management: Running PostgreSQL in Docker Containers

Aggregated on: 2024-12-31 22:10:41

Docker containers offer a lightweight, portable, and consistent way to deploy databases across different environments. This article will guide you through the process of running a PostgreSQL database in a Docker container, providing you with a flexible and scalable solution for your database needs. Why Docker for PostgreSQL? Before diving into the how-to, let's briefly discuss why running PostgreSQL in a Docker container is beneficial:

Effective Exception Handling in Microservices Integration

Aggregated on: 2024-12-31 21:10:41

Microservices architecture offers benefits such as scalability, agility, and maintainability, making it ideal for building robust applications. Spring Boot, as the preferred framework for developing microservices, provides various mechanisms to simplify integration with different systems. The modules offered by the Spring framework abstract much of the complexity, allowing developers to integrate seamlessly with external systems. Integration types may vary depending on the system, including API integration, messaging system integration, or database connectivity. Each system requires specific error-handling mechanisms. Regardless of the integration type, the API layer should not directly expose errors returned by the integrated systems to ensure a consistent and user-friendly response.

Iceberg Catalogs: A Guide for Data Engineers

Aggregated on: 2024-12-31 20:10:41

Apache Iceberg has become a popular choice for managing large datasets with flexibility and scalability. Catalogs are central to Iceberg’s functionality, which is vital in table organization, consistency, and metadata management. This article will explore what Iceberg catalogs are, their various implementations, use cases, and configurations, providing an understanding of the best-fit catalog solutions for different use cases. What Is an Iceberg Catalog? In Iceberg, a catalog is responsible for managing table paths, pointing to the current metadata files that represent a table’s state. This architecture is essential because it enables atomicity, consistency, and efficient querying by ensuring that all readers and writers access the same state of the table. Different catalog implementations store this metadata in various ways, from file systems to specialized metastore services.

The Importance of Kubernetes in MLOps and Its Influence on Modern Businesses

Aggregated on: 2024-12-31 19:10:41

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows. It is a foundational component of the contemporary information technology landscape, and its influence is expected to increase significantly in the coming years. It encompasses everything from data processing and model development to deployment, monitoring, and continuous improvement, making it a crucial discipline in integrating machine learning into production environments. However, a significant challenge in MLOps lies in the demand for scalable and flexible infrastructure capable of handling the distinct requirements of machine learning workloads. While the development cycle is often experimental, typically using interactive tools like Jupyter notebooks, production deployment requires automation and scalability.

The Power of Docker and Cucumber in Automation Testing

Aggregated on: 2024-12-31 18:10:41

Automation testing is a must for almost every software development team. But when the automation suite consists of many scenarios, the running time of automation suites tends to increase a lot, and sometimes, rather than helping a team to reduce the turnaround time of testing, it doesn’t help in a much-expected way. Thus, there is a need for parallelization of the automation suite. With parallelization comes another difficult thing. Running the automation suite parallelly is not much cheaper. It requires a bigger infrastructure to run the suite. With all these things, we still have one solution that comes to mind: to reduce the cost and the running time of the automation suite, i.e., utilizing the docker technology, which will act as a different architecture but comes with a much cheaper or almost no cost. So, in today’s article, we will discuss how to achieve our goal of reducing the total turnaround time of the testing team with the help of automation testing utilizing technologies like Docker and Cucumber.

Enhancing DevOps in the Cloud With AI Innovation

Aggregated on: 2024-12-31 17:10:41

Since the introduction of simple applications to the market, DevOps teams have faced increasing demands in terms of speed, efficiency, and application reliability. To meet these needs, some are embracing artificial intelligence (AI) to introduce more automation, business intelligence, and intelligent decision-making to cloud DevOps. The Role of AI in DevOps AI brings new features that enable DevOps to improve the efficiency of processes, ensure better security, and reduce the need for interventions that can be both lengthy and inaccurate. AI's capacity to manipulate data and make instantaneous, intelligent decisions is beneficial for operations that necessitate analysis, irregular event monitoring, and maintenance forecasting, all of which are highly pertinent in today's cloud environments. The integration of AI with DevOps enhances the level of automation as well as the overall adaptability of the new value stream to deliver an ideal response to meeting new needs as well as managing new risks.

Building a Receipt Scanner App With OCR, OpenAI, and PostgreSQL

Aggregated on: 2024-12-31 16:10:41

Managing expenses and keeping track of receipts can be cumbersome. Digitalizing receipts and extracting product information automatically can greatly enhance efficiency. In this blog, we’ll build a Receipt Scanner App where users can scan receipts using their phone, extract data from them using OCR (Optical Character Recognition), process the extracted data with OpenAI to identify products and prices, store the data in PostgreSQL, and analyze product prices across different stores. What Does the Receipt Scanner App do? This app allows users to:

KubeVirt Implementation: Who Needs It and Why?

Aggregated on: 2024-12-31 15:10:41

The adoption of cloud-native architectures and containerization is transforming the way we develop, deploy, and manage applications. Containers offer speed, agility, and scalability, fueling a significant shift in IT strategies. However, the reality for many organizations is that virtual machines (VMs) continue to play a critical role, especially when it comes to legacy or stateful applications. Even leading financial institutions like Goldman Sachs recognize the value of VMs alongside containerized workloads and are exploring ways to manage them efficiently. This creates a potential divide: the benefits of containerization on one side and the enduring need for VMs on the other. KubeVirt bridges this gap by extending the power of Kubernetes to virtual machine management, giving you the ability to unify your infrastructure while enabling a smoother transition to cloud-native technologies.

Agile Failure Has Strengthened, Not Weakened, Software

Aggregated on: 2024-12-31 14:10:41

2024 is promised to be the year of generative AI. Instead, it has been the year of catastrophic software outages. Earlier this year, we saw outages affecting high-street shops, banks, and cloud vendors, whilst those of us in the UK saw the Post Office Horizon IT scandal reach new levels of public outrage. Having made a living working to investigate and resolve such scandals in recent times, I found myself amid furor after leading a study that found that Agile wasn’t all that it was cracked up to be. After the international crises following the Crowdstrike outage helped underscore the point, I spoke to The Register about how catastrophic takes on Agile feed into failure.

Deno vs. Node.js: The Showdown Nobody Asked For But Everyone Needed

Aggregated on: 2024-12-31 13:10:41

Okay, so picture this: it’s 11 p.m., I’ve got a cup of coffee that’s somehow both cold and scalding (a skill I’ve mastered), and I’m spiraling down the rabbit hole of JavaScript runtimes. Yeah, I know, wild Friday night, right? But hey, when you're a software engineer, your idea of "fun" sometimes involves comparing Deno and Node.js while your cat judges you from across the room. For a little backstory on this notion, I have been juggling with Node.js for years now. It's like those worn-out clothes in your wardrobe that you just can’t seem to get rid of because they are still in working (quality) condition. It's comfortable, yet at times, you think of getting similar ones that are trendy on the market — the revised and new variants, you know.

Supercharge Your Coding Workflow With Ollama, LangChain, and RAG

Aggregated on: 2024-12-30 23:25:40

As developers, we always look for ways to make our development workflows smoother and more efficient. With the new year unfolding, the landscape of AI-powered code assistants is evolving at a rapid pace. It is projected that, by 2028, 75% of enterprise software engineers will use AI code assistants, a monumental leap from less than 10% in early 2023. Tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer have already made significant inroads. However, while these tools are impressive, they often operate as one-size-fits-all solutions. The real magic happens when we take control of their workflows, creating intelligent, context-aware assistants tailored to our unique needs. This is where Retrieval-augmented eneration (RAG) can come in handy.

Understanding Immutable Objects in Java

Aggregated on: 2024-12-30 22:25:40

Before I discuss records and why they are needed, let me articulate the concept of immutability. Immutability is a key aspect of clean and safe programming. An immutable object is one whose state cannot be changed once instantiated, where the state is the data contained in the object instance. When an object's state is set, it stays the same throughout its lifetime. In Java, for example, immutable objects do not have any setter methods to guarantee their state never changes. Examples of Immutable Objects Java’s standard library is rich with immutable classes, including:

Setting Up a ScyllaDB Cluster on AWS Using Terraform

Aggregated on: 2024-12-30 21:25:40

In this article, I present an example of a simple and quick installation of ScyllaDB in the AWS cloud using Terraform. Initially, I intended to create a ScyllaDB AMI image using HashiCorp Packer. However, I later discovered that official images are available, allowing ScyllaDB to be easily configured during instance initialization via user data.

Automated Kubernetes Testing With Terratest: A Step-by-Step Guide

Aggregated on: 2024-12-30 20:25:40

Ensuring the stability and correctness of Kubernetes infrastructure and application deployments can be challenging due to the dynamic and complex nature of containerized environments. Traditional manual testing methods are time-consuming, error-prone, and insufficient for validating the integration and behavior of resources like pods, services, and deployments. There is a need for an automated, scalable, and reliable testing framework that integrates seamlessly into DevOps workflows to validate Kubernetes configurations, prevent deployment issues, and ensure system reliability across different environments.

Bridging the Gap: Unlocking the Power of HDFS-Based Data Lakes With Streaming Databases

Aggregated on: 2024-12-30 19:25:40

Big data technologies' quick development has brought attention to the necessity of a smooth transition between real-time data analytics and batch processing systems. Since HDFS (Hadoop Distributed File System) based data lakes provide scalable and affordable storage for vast amounts of heterogeneous data, they have emerged as a key component of present-day data architectures. However, when interacting with dynamic, real-time data operations, HDFS's static nature frequently poses difficulties. In order to enable real-time data input, transformation, and analysis within HDFS-based data lakes, this article examines how streaming databases can help close the gap. Streaming databases can depend on HDFS-based data lakes to efficiently handle, process, and store large volumes of streaming data. This dependency arises because HDFS-based data lakes are designed to store and manage big data in a distributed manner, while streaming databases specialize in real-time processing and querying.

A Beginner’s Guide to JUnit 5

Aggregated on: 2024-12-30 18:25:40

JUnit 5 is a software testing framework used by developers to unit test their code. It is a Java-based framework that allows writing and running tests on the Java platform, including an integrated reporter that displays the test results. JUnit can be used for automation testing for two main purposes:

Getting Started With Snowflake Snowpark ML: A Step-by-Step Guide

Aggregated on: 2024-12-30 17:25:40

Snowflake’s Snowpark brings machine learning (ML) closer to your data by enabling developers and data scientists to use Python for ML workflows directly within the Snowflake Data Cloud. Here are some of the advantages of using Snowpark for machine learning:

Implementing CRUD Operations With NLP Using Microsoft.Extensions.AI

Aggregated on: 2024-12-30 16:25:40

In this blog post, we will explore how to implement CRUD (Create, Read, Update, Delete) operations using Natural Language Processing (NLP) with the Microsoft.Extensions.AI library in a .NET Web API application. We will utilize the power of NLP to interact with our application through natural language queries and perform CRUD operations on a light management system. Step-by-Step Guide 1. Create a .NET Web API Application First, let's create a new Web API project using the dotnet CLI:

AI in 2024: Year in Review and Predictions for 2025

Aggregated on: 2024-12-30 15:25:40

Part I: 2024 Year in Review OpenAI on the Front OpenAI maintained its position at the forefront of AI innovation in 2024. The release of GPT-4 in May marked a significant milestone as the first frontier multimodal model capable of understanding and generating content across different forms of media. This was followed by o1 in September, along with its lighter counterpart, o1-mini, and the announcement of o3 in December. Perhaps most notably, OpenAI's Sora project revolutionized video generation. Announced in February and enhanced with Sora Turbo in December, this technology demonstrated unprecedented capabilities in creating realistic video content from text descriptions.

Load Testing Essentials for High-Traffic Applications

Aggregated on: 2024-12-30 14:25:40

Today’s applications must simultaneously serve millions of users, so high performance is a hard requirement for this heavy load. When you consider marketing campaigns, seasonal spikes, or social media virality episodes, this demand can overshoot projections and bring systems to a grinding halt. To that end, monitoring performance and load testing has become an integral part of app development and deployment: it mimics real application performance under stress, and with this kind of testing, teams can make sure their apps are ready to scale up in times of demand and avoid bottlenecks before users get hurt by them.