News Aggregator

Front End Debugging, Part 1: Not Just Console Log

Aggregated on: 2024-10-29 20:21:39

As a Java developer, most of my focus is on the backend side of debugging. Front-end debugging poses different challenges and has sophisticated tools of its own. Unfortunately, print-based debugging has become the norm in the front-end. To be fair, it makes more sense there as the cycles are different and the problem is always a single-user problem. But even if you choose to use Console.log, there’s a lot of nuance to pick up there. Instant Debugging With the debugger Keyword A cool, yet powerful tool in JavaScript is the debugger keyword. Instead of simply printing a stack trace, we can use this keyword to launch the debugger directly at the line of interest. That is a fantastic tool that instantly brings your attention to a bug. I often use it in my debug builds of the front end instead of just printing an error log.

How to Enhance the Performance of .NET Core Applications for Large Responses

Aggregated on: 2024-10-29 19:21:39

Problem Statement Our API/application uses the Newtonsoft.Json serializer on .NET Core 3 or above, and our response payloads are larger in size. How do we use the .NET code properties and settings to improve API performance? Possible Case Where You Could Have Started Facing the Performance Issue This issue could have started when you upgraded your API to .NET Core 3.0 or above with the Newtonsoft.Json serializer, or when you created your API with .NET Core 3 or above and using the Newtonsoft.Json serializer.

Enhance User Experience With a Formatted Credit Card Input Field

Aggregated on: 2024-10-29 18:21:39

In this article, I will guide you on how to create a credit card input by extending existing ZK components. Moreover, I'll apply a customized ZK JavaScript widget to format the card numbers in groups of four digits, improving readability and user experience. Additionally, we'll integrate a custom JavaScript widget to ensure that only numeric input is accepted. This guide is ideal for web developers needing a dedicated input field for credit card information. Using the ZK UI Framework as an example, I’ll walk you through creating a well-structured, readable credit card input box.

Dapr and Service Meshes: Better Together

Aggregated on: 2024-10-29 17:21:39

There are many reasons why Kubernetes is a popular container runtime platform for distributed applications. One of these reasons is the portability and flexibility that it provides to IT architects. However, the difficulties of service discovery, infrastructure reliability, and security are known challenges that result from these benefits. From challenges, opportunities are created, and many tools have risen to mitigate common problems faced by teams that benefit from containerized applications on Kubernetes. A service mesh is a pattern that aims to mitigate some of these challenges when architecting an application on Kubernetes. By providing a dedicated service layer to facilitate service discovery and how applications share information with each other, they provide security, tracing, monitoring, and traffic control.

Unifying SecOps and Observability for Enhanced Cloud Security in Azure

Aggregated on: 2024-10-29 16:21:39

As someone who has worked in various areas of Azure for almost a decade, I have witnessed its constant evolution and the rise of increasingly sophisticated security risks. This calls for a unified approach to modern cloud security, where integrating Security Operations, aka "SecOps," into observability becomes essential. SecOps bridges the gap between security and operations, ensuring real-time threat detection, mitigation, and compliance. With the growing value and vulnerability of data, SecOps is crucial in safeguarding applications, preventing unauthorized access, and maintaining the integrity of sensitive information. Why SecOps Is Important In today’s cloud-centric environment, applications handle vast amounts of sensitive data, making SecOps critical to protect this information from breaches, unauthorized access, and cyber threats. SecOps ensures that every facet of security — from encryption to access control — is built into the operational workflow. Incorporating SecOps into the operations workstream guarantees that security is not an afterthought, but a continuous process that safeguards both the data and the integrity of business applications.

Top Takeaways From Devoxx Belgium 2024

Aggregated on: 2024-10-29 15:21:39

In October 2024, I visited Devoxx Belgium and again it was an awesome event! I learned a lot and received quite some information which I do not want to withhold from you. In this blog, you can find my takeaways from Devoxx Belgium 2024! Introduction Devoxx Belgium is the largest Java conference in Europe. This year, it was already the 21st edition. As always, Devoxx is being held in the fantastic theatres of Kinepolis Antwerp. Each year, there is a rush on the tickets. Tickets are released in several batches, so if you did not have a ticket during the first batch, you will get another chance.

Harnessing the Power of Distributed Databases on Kubernetes

Aggregated on: 2024-10-29 14:21:39

Cloud-native technologies have ushered in a new era of database scalability and resilience requirements. To meet this demand, enterprises across multiple industries, from finance to retail, to healthcare, are turning to distributed databases to safely and effectively store data in multiple locations. Distributed databases provide consistency across availability zones and regions in the cloud, but some enterprises still question whether they should run their distributed database in Kubernetes.

AWS Redshift Data Sharing: Unlocking the Power of Collaborative Analytics

Aggregated on: 2024-10-29 13:21:39

What Is AWS Redshift Data Sharing? As a data engineer, most of my time will be spent constructing data pipelines from source systems to data lakes, databases, and warehouses. In the cloud world, the databases/warehouses are usually isolated in a private subnet in a VPC, and sharing the data will be a challenge. One of the pain points is to have this data distributed to several teams in the organization. Data can be shared by exporting into files, but this increases the concerns of security, data duplication, and maintenance of these export pipelines. I was delighted to find that we have a utility in AWS Redshift that will let you share the data between two Redshift clusters without building any ETL infrastructure. AWS Redshift data sharing allows you to securely share live, read-only data between different Redshift clusters within or across AWS accounts and regions. It eliminates the need for data duplication and helps multiple stakeholders access the same dataset, allowing different departments, teams, or external partners to collaborate and derive insights from shared data. By sharing specific databases, schemas, tables, or views from the Producer Cluster to one or more Consumer Clusters, organizations can significantly reduce the complexity of their data pipelines.

How to Copy Text to Clipboard Using React.js

Aggregated on: 2024-10-29 12:21:39

In this article, we will learn how to copy text to Clipboard using React.js. Using this, we can copy any text to the clipboard and paste it anywhere. You can check my previous articles, in which we discussed React.js and its basic components from the below-mentioned links.

Filtering Java Collections via Annotation-Driven Introspection

Aggregated on: 2024-10-28 22:21:38

Since Java 8, the programming workload of iterating over collections and selecting a subcollection (filtering) based on defined constraints (predicates) has been considerably simplified using the new Stream API. Despite this new feature, some scenarios can still overwhelm developers by requiring them to implement a significant amount of very specific code to meet the filtering conditions. A common example in enterprise systems is the need to filter: ". . . a collection where each object is an element of a large graph and the attributes to be considered in the filters belong to distinct objects."

So, You Want a Career in DevOps? Here's Where to Begin

Aggregated on: 2024-10-28 21:21:38

Once during an interview for a senior DevOps position, I had an amusing experience. I had covered everything the interviewer expected, anticipating their questions, when boredom suddenly swooped in. To switch things up, I handed a marker to the two engineers at the interview who were assessing my knowledge and asked them to explain how their DevOps processes were organized. As they walked me through the setup, I started asking why certain decisions were made. The engineers and the interviewer were surprised but raised no objections. I got that job. Yet, the lesson between the lines is that there are no ready-made templates for job interviews, and unexpected twists are inevitable — especially for a DevOps position.

Lifecycle Microservices With GenAI Tools

Aggregated on: 2024-10-28 20:21:38

Lifecycle Development With AI We have seen a huge shift in the way developers and consultants are using Generative AI (GenAI) tools to create working microservices. A new tool named WebGenAI begins the process with a simple prompt to create a complete API microservice with a running React-Admin user interface and has the ability to iterate and add new features or even logic. WebGenAI is built on top of the existing Python open-source framework ApiLogicServer. The entire project can be downloaded as runnable Python code or a Docker container to use locally. It also pushes each iteration to GitHub and you can run the application using Codespaces. This is usually where the beginning of the full microservice lifecycle starts.

Refining Automated Testing: Balancing Speed and Reliability in Modern Test Suites

Aggregated on: 2024-10-28 19:21:38

Traditionally, automated tests are classified as unit tests, integration tests, and end-to-end tests. This classification is based on the scope of a test, though the distinction between the different types is not always clear. Unit tests have a narrow scope and usually exercise a single method or class. Integration tests validate the interaction between different components. End-to-end tests often exercise complete user flows on a platform or web application, involving several disparate systems. As a codebase grows, slow and flaky tests start affecting developer productivity. It’s instructive to examine test suites from another dimension — speed and determinism.

How to Repair Corrupt MySQL Database Tables Step-by-Step

Aggregated on: 2024-10-28 18:21:38

In the modern world, companies are not solely dependent on a specific database server platform. There are many database platforms available that are adequate to handle moderate workloads and client requirements of high availability and disaster recovery. MySQL is one of those database platforms which provides a lot of features and high performance. Just like other RDBMS, MySQL is also prone to database and table corruption. The recent outage caused by Microsoft and CrowdStrike also impacted MySQL database servers. Due to operating system failures, the tables of the database or entire databases get corrupted.

Kumologica Container Inside AWS ECS Fargate

Aggregated on: 2024-10-28 17:21:38

We have seen multiple examples and use cases of building a low code API using Kumologica and running it on AWS lambda and on Azure function. In this article, we will be taking through the build and deployment of a simple hello world service Docker container inside AWS Elastic Container Service (ECS) Fargate. Photo by Chris Linnett Architecture Based on the design defined in the diagram (Figure 1), we will be building Kumologica applications as a Docker container. Once the Docker image is ready, we will push it into the AWS Elastic Container Registry (ECR). ECR holds all the Docker images. The Elastic Container Service is an AWS container management platform. The workload availability, scaling, and network are managed by ECS. In order to deploy a workload to ECS, an ECS task definition needs to be created, which will define the Docker image that needs to be used, the name of the service, and the type of launch. In this case, we will be choosing the launch type as Fargate.

How to Design Event Streams, Part 1

Aggregated on: 2024-10-28 16:21:38

Event streaming is becoming increasingly common in the world today. An event is a single piece of data that describes, as a snapshot in time, something important that happened in your business. We record that data to an event stream (typically using an Apache Kafka topic), which provides the basis for other applications and business processes to respond and react accordingly — also known as event-driven architecture (EDA). Event-driven architectures (EDA) rely extensively on events. To be successful with EDA, you’ll need to know how to properly design your events because this will significantly affect not only what you can do today, but also tomorrow.

Advanced CI/CD Pipeline Optimization Techniques Using GitHub Actions

Aggregated on: 2024-10-28 15:21:38

Continuous Integration and Continuous Deployment (CI/CD) pipelines are crucial for modern software development. This article explores advanced techniques to optimize these pipelines, enhancing efficiency and reliability for enterprise-level operations. Parallelization Using Matrix Builds GitHub Actions CI tests using the matrix strategy to run jobs in parallel:

Using AUTHID Parameter in Oracle PL/SQL

Aggregated on: 2024-10-28 14:21:38

In Oracle, the AUTHID clause is a powerful option to manage DB security and access control. It defines who is considered a current user for execution purposes within stored procedures and functions. This article explores the basics of AUTHID, different settings, and how to use it effectively. About AUTHID The AUTHID clause specifies whether the current user for authorization checks is the owner of the procedure or function (AUTHID DEFINER) or the user who invokes it (AUTHID CURRENT_USER).

AI-Driven Intent-Based Networking: The Future of Network Management Using AI

Aggregated on: 2024-10-28 13:21:38

We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. As networks scale exponentially, classical topologies and designs are struggling to keep in sync with the rapidly evolving demands of the modern IT infrastructure. Network management is getting complex due to the sheer amount of network infrastructure and links. AI-driven intent-based networking emerges as a potential solution, promising to reshape our approach to network management — but is it truly the solution to this problem it claims to be? Let’s dive into its details to understand how intent-based networking will be shaping the future of network management. What Is Intent-Based Networking? Traditional intent-based networking (IBN) evolved from software-defined networking (SDN). SDN is a very popular approach in network automation where software-defined controllers and APIs communicate with the physical Infrastructure. IBN is a natural progression of SDN that combines intelligence, analytics, machine learning, and orchestration to automate network management. It translates high-level business intent into network policies to configure the underlying network. IBN abstracts the complex part of underlying hardware, and network configuration to allow users to express their desired intent in natural language.

The Power of Market Disruption: How to Detect Fraud With Graph Data

Aggregated on: 2024-10-28 12:21:38

In previous articles, I’ve mentioned my short career in the music industry. Let me tell a quick story about something really cool that happened while playing keyboards on a new artist project in 1986. Emerging from the solo section of the first song on the album, sound engineer Alan Johnson had a cool idea that would catch the listener’s attention. The idea focused on a backward sound effect where Alan flipped the audio reels. (Here’s a YouTube video to better explain.)

12 Expert Tips for Secure Cloud Deployments

Aggregated on: 2024-10-25 22:06:36

According to the Thales 2024 Cloud Security Study, 31% of cyberattacks prioritize SaaS applications, followed closely by 30% targeting cloud storage and 26% aimed at cloud management infrastructure. Cloud resources have become the prime targets for hackers — no surprise, considering the vast amount of data companies are now storing there. And these aren’t just small-scale incidents. In June 2023, Toyota Motor Corporation issued an apology for a major data breach due to a cloud misconfiguration, potentially exposing the information of millions of customers. Whether you're managing sensitive customer data or operating critical business applications, securing your cloud deployment isn’t a luxury — it’s essential. This guide offers 12 cloud security tips for AWS, Google Cloud, and Azure to safeguard your environment.

Exploring Foundations of Large Language Models (LLMs): Tokenization and Embeddings

Aggregated on: 2024-10-25 19:06:36

Have you ever wondered how various Gen AI tools like ChatGPT or Bard efficiently answer all our complicated questions? What goes behind the scenes to process our question and generate a human-like response with the size of data in magnitudes? Let’s dive deep. In the era of Generative AI, natural language processing plays a crucial role in how machines understand and generate human language. The applications for this cut through various implementations like smart chatbots, translation, sentimental analysis, developing knowledge basis, and many more. The central theme in implementing this Gen AI application is to store the data from various sources and query those to generate human language responses. But how does this work internally? In this article, we will explore concepts of tokenization and embeddings, which play a vital role in understanding human queries and converting knowledge bases to generate responses.

Reactive Kafka With Spring Boot

Aggregated on: 2024-10-25 16:06:36

Event-driven architectures are at the core of modern, scalable systems. Reactive Kafka, when combined with Spring Boot and WebFlux, offers a powerful approach to building non-blocking, high-throughput services. In this article, we’ll focus on building generic, easily configurable consumers and producers, managing dead letter topics (DLT), and writing integration tests with Testcontainers. To demonstrate these principles, I’ve created a microservice, bootiful-reactive-kafka, which processes user-related events from an external system. While this microservice is simple, it illustrates key concepts that you can apply to more complex real-world use cases.

Right-Sizing GPU and CPU Resources For Training and Inferencing Using Kubernetes

Aggregated on: 2024-10-25 14:06:36

The rapid rise of AI services has created a massive demand for computing resources, making efficient management of those resources a critical challenge. While running AI workloads with Kubernetes has come a long way, optimizing scheduling based on dynamic demand continues to be an area for improvement. Many organizations face constraints related to the cost and availability of GPU clusters worldwide and often rely on the same compute clusters for inference workloads and continuous model training and fine-tuning. AI Model Training and Model Inferencing in Kubernetes Training typically requires far more computational power than inferencing. On the other hand, inferencing is far more frequent than training as it is used to make predictions repeatedly across many applications. Let’s explore how we can harness the best of what the cloud has to offer with advances in Kubernetes to optimize resource allocation by prioritizing workloads dynamically and efficiently based on need.

Understanding the Differences Between Repository and Data Access Object (DAO)

Aggregated on: 2024-10-24 22:51:36

Repository and Data Access Object (DAO) play crucial roles in software development and data handling. However, their purposes and contexts differ, especially when we consider how they relate to the business logic of an application. Let’s explore the key differences between these concepts, where they originate, and when you should choose one. About Repository and Data Access Object (DAO) Patterns The Repository pattern originates from Domain-Driven Design (DDD), as described by Eric Evans in his book, "Domain-Driven Design: Tackling Complexity in the Heart of Software." Repositories are not just about managing data; they encapsulate business logic, ensuring that operations adhere to the Ubiquitous Language of the domain.

Summary of the AJAX Frameworks Comparison

Aggregated on: 2024-10-24 20:51:36

In previous weeks, I've analyzed several libraries and frameworks that augment the client with AJAX capabilities. Vue.js Alpine.js HTMX Vaadin In this post, I'll compare them across several axes.

High-Speed Real-Time Streaming Data Processing

Aggregated on: 2024-10-24 18:51:35

From data ingestion to reporting, the primary goal is to convert data into actionable information. Online data is growing at a much faster rate than data processing speeds. For businesses to stay competitive, data must be readily available for making informed decisions as early as possible. Live data streaming software is becoming a vital part of data infrastructures to get data to processing systems as early as possible. While different streaming software are available, it is crucial to understand the domain context and available infrastructure. Each business use case is unique and should be treated with white-glove treatment. The critical thing to remember is that cheap, fast, and good will never make a feasible combination. The affordable solution may be quick but not good; a fast solution may be good but not cheap, and so on. An ideal example of this concept would be real-time streaming data processing.

Accelerating Connection Handshakes in Trusted Network Environments

Aggregated on: 2024-10-24 16:51:35

In this article, I aim to discuss modern approaches used to reduce the time required to establish a data transmission channel between two nodes. I will be examining both plain TCP and TLS-over-TCP. What Is a Handshake? First, let’s define what a handshake is, and for that, an illustration of the TCP handshake serves very well:

Ending Microservices Chaos: How Architecture Governance Keeps Your Microservices on Track

Aggregated on: 2024-10-24 14:51:35

A microservices architecture is the gold standard for building scalable web applications. Gartner estimates that 74% of organizations use microservices for their web applications, with another 23% planning to use them soon. If you’re an IT leader, architect, or developer, you might have experienced the faster deployments, better fault isolation, and easier scaling that come with microservices.

Good Refactoring vs Bad Refactoring

Aggregated on: 2024-10-23 23:51:35

I've hired a lot of developers over the years. More than a few of them have come in with a strong belief that our code needed heavy refactoring. But here's the thing: in almost every case, their newly refactored code was found by the other developers to be harder to understand and maintain. It also was generally slower and buggier too. Now, don't get me wrong. Refactoring isn't inherently bad. It's a crucial part of keeping a codebase healthy. The problem is that bad refactoring is, well, bad. And it's surprisingly easy to fall into the trap of making things worse while trying to make them better.

Will GenAI Force Coders to Switch Careers?

Aggregated on: 2024-10-23 22:51:35

The world of software engineering is on the cusp of a transformation, driven largely by the rapid advancement of Generative AI (GenAI). The AWS CEO recently suggested that developers might stop coding within two years as AI takes over coding tasks. Is this an accurate prediction? Will GenAI really force coders to abandon their careers? The answer isn't straightforward. GenAI will no doubt automate many coding jobs, which will cut down the need for some positions. However, it won't make software engineers a thing of the past. It's similar to how automation changed fields like manufacturing. GenAI will cause a shift, but not a total replacement. We'll still need software engineers — though in a more advanced and specialized way. They'll focus on jobs that AI can't handle by itself.

Automate Web Portal Deployment in Minutes Using GitHub Actions

Aggregated on: 2024-10-23 21:51:35

In today's fast-paced development environment, automating the deployment process is crucial for maintaining efficiency and reducing human error. GitHub Actions has emerged as a powerful tool for implementing continuous integration and continuous deployment (CI/CD) pipelines, particularly for web applications. This article explores how to leverage GitHub Actions to deploy a feedback portal seamlessly and efficiently. The Power of GitHub Actions GitHub Actions is more than just a CI/CD tool; it's a complete automation platform that allows developers to create custom workflows for building, testing, and deploying their applications. These workflows are triggered by specific events in your GitHub repository, such as pushes, pull requests, or scheduled tasks.

Data Architectures With Emphasis on Emerging Trends

Aggregated on: 2024-10-23 20:51:35

In this emerging Generative AI era as a data architect, it is your responsibility to keep a tap on the emerging architectures that cater to Generative AI. From data management to data governance to data lineage, architectures need to emerge to handle volumes of data. In this article, you learn about emerging data architectures like data mesh, Generative AI, and Quantum-based along with the existing architectures like Data Fabric. The article will conclude by showing the key differences between the existing and the emerging data architectures.

How Federal Agencies Are Achieving Zero Trust With Automation

Aggregated on: 2024-10-23 19:51:35

“Never trust, always verify.” This key principle has been ingrained into the cybersecurity lexicon since Forrester first popularized the concept of zero trust in 2009. Since then, zero trust has emerged as one of the most important frameworks in modern cybersecurity programs. For government agencies, the shift to zero trust is both crucial and inevitable. Tasked with protecting vital national infrastructure and driving scientific innovation, agencies are increasingly waking up to the fact that traditional security practices no longer cut it in today’s escalating, and increasingly complex, threat landscape.

Minimizing Latency in Kafka Streaming Applications That Use External API or Database Calls

Aggregated on: 2024-10-23 18:51:35

Kafka is widely adopted for building real-time streaming applications due to its fault tolerance, scalability, and ability to process large volumes of data. However, in general, Kafka streaming consumers work best only in an environment where they do not have to call external APIs or databases. In a situation when a Kafka consumer must make a synchronous database or API call, the latency introduced by network hops or I/O operations adds up and accumulates easily (especially when the streaming pipeline is performing an initial load of a large volume of data before starting CDC). This can significantly slow down the streaming pipeline and result in the blowing of system resources impacting the throughput of the pipeline. In extreme situations, this may even become unsustainable as Kafka consumers may not be able to commit offsets due to increased latency before the next polling call and get continuously rebalanced by the broker, practically not processing anything yet incrementally consuming more system resources as time passes. This is a real problem faced by many streaming applications. In this article, we’ll explore some effective strategies to minimize latency in Kafka streaming applications where external API or database calls are inevitable. We’ll also compare these strategies with the alternative approach of separating out the parts of the pipeline that require these external interactions into a separate publish/subscribe-based consumer.

RAG Systems: A Brand New Architecture Tool

Aggregated on: 2024-10-23 17:51:35

Let’s cut to the chase: Retrieval-Augmented Generation (RAG) systems are reshaping how we approach AI-driven information processing. As architects, we need to understand the nuts and bolts of these systems to leverage their potential effectively. What’s RAG? At its core, a RAG system enhances the capabilities of LLMs by integrating them with external knowledge sources. This integration allows the model to pull in relevant information dynamically, enabling it to generate responses that are not only coherent but also factually accurate and contextually relevant. The main components of a RAG system include:

Understanding Server Error (5XX) in Azure Services: A Deep Dive Into Azure Logic Apps

Aggregated on: 2024-10-23 16:51:35

Encountering 5XX errors in Azure services? These are server SKU issues such as high CPU and memory. We will focus on how design challenges in workflows as well can lead to 5XX response codes and the steps to mitigate them. Applies to: Azure Logic Apps (Consumption + Standard) What Are 5XX Errors? A 5XX response code indicates a server-side error. When dealing with a chain of servers, an issue in one server — such as downtime — can cause cascading failures, resulting in 5XX errors. In the context of Azure Logic Apps, understanding the nuances of these errors is crucial.

Leveraging Event-Driven Data Mesh Architecture With AWS for Modern Data Challenges

Aggregated on: 2024-10-23 15:51:35

In today's data-driven world, businesses must adapt to rapid changes in how data is managed, analyzed, and utilized. Traditional centralized systems and monolithic architectures, while historically sufficient, are no longer adequate to meet the growing demands of organizations that need faster, real-time access to data insights. A revolutionary framework in this space is event-driven data mesh architecture, and when combined with AWS services, it becomes a robust solution for addressing complex data management challenges. The Data Dilemma Many organizations face significant challenges when relying on outdated data architectures. These challenges include:

Building Predictive Analytics for Loan Approvals

Aggregated on: 2024-10-23 14:51:35

In this short article, we'll explore loan approvals using a variety of tools and techniques. We'll begin by analyzing loan data and applying Logistic Regression to predict loan outcomes. Building on this, we'll integrate BERT for Natural Language Processing to enhance prediction accuracy. To interpret the predictions, we'll use SHAP and LIME explanation frameworks, providing insights into feature importance and model behavior. Finally, we'll explore the potential of Natural Language Processing through LangChain to automate loan predictions, using the power of conversational AI. The notebook file used in this article is available on GitHub.

Advice for Anyone Who Wants to Be a Developer

Aggregated on: 2024-10-23 13:51:35

My friend was contemplating a career change, possibly into game development or software engineering. I thought hard about what advice to give. The following is my opinion, which is biased towards what I know and do. TL;DR: Head over to Kotlin’s interactive website to execute and edit code. That’s it — you’re coding.

How to Use Retrieval-Augmented Generation (RAG) Locally

Aggregated on: 2024-10-22 23:51:35

In this blog post, we'll explore how to use Retrieval-Augmented Generation (RAG) for building more effective and engaging conversational AI applications. We'll cover the basics of RAG, its benefits, and provide step-by-step instructions on how to develop your own RAG mechanism for local use. What Is RAG? RAG (Reinforcement-based Generation) combines the strengths of two prominent approaches in natural language processing (NLP): retrieval-based models and generation-based models. In traditional generation-based methods, AI systems generate text from scratch using pre-trained patterns and rules. However, this approach often leads to limited creativity, a lack of context-specific knowledge, and poor coherence.

Close Site Search Indexing via Kubernetes HAProxy Ingress

Aggregated on: 2024-10-22 22:51:35

In Kubernetes, Ingress resources are frequently used as traffic controllers, providing external access to services within the cluster. Ingress is essential for routing incoming traffic to your service; however, there may be scenarios in which you want to prevent search engines from indexing your service's content: it might be a development environment or something else. This blog post will walk you through the process of blocking your site's indexing on Kubernetes Ingress using robots.txt file, preventing search engine bots from crawling and indexing your content.

Implement Hibernate Second-Level Cache With NCache

Aggregated on: 2024-10-22 21:51:35

In this tutorial, we'll explore implementing a second-level cache in Hibernate using NCache. We'll set up a Java application with Hibernate. Then we'll configure NCache as the second-level cache. Finally, we'll test the implementation to see how caching reduces the database load and improves performance.

Languages for Domain Experts, Not Just for Programmers

Aggregated on: 2024-10-22 20:51:34

Productivity has improved each time programming languages have raised the level of abstraction. This trend continues today with languages that narrow the scope they address — referred to as domain-specific languages (DSLs). However, many of these DSLs are built by developers for developers and tend to concentrate on the solution domain, like code. Even better results can be achieved when a DSL is closely aligned with the problem domain — raising abstraction beyond the code. Such languages foster collaboration, enable domain experts to verify and validate their designs, and, in many cases, allow the generation of code, configurations, tests, reports, and more.

Calling a Client Via Spring @schedule Cron Job

Aggregated on: 2024-10-22 20:06:34

In this article, a cron job will be set up that will run parametrically in a certain period using Spring's scheduling feature. Period information will be adjustable parametrically from the application.properties file. Overview In the example, parameter information is given to run every minute.

PHP Opcode: Improve Application Performance Without Changing Your Code

Aggregated on: 2024-10-22 19:06:34

The PHP opcode generated by the PHP engine is strongly influenced by the way you write your code, not only in terms of the number of statements to accomplish a task. Clearly, it matters a lot, and I think it’s obvious to you. What could be less obvious is that even the syntax of the code can completely change the generated opcode causing a lot of overhead for the machine’s CPU to execute the exact same code.

Fast Flow Conf 2024: Shaping the Future of Platforms and Teams

Aggregated on: 2024-10-22 18:06:34

I had great fun at the recent Fast Flow Conference. This conference focuses on the approach and methodologies described in Team Topologies by Matthew Skelton and Manuel Pais, and it brings together an eclectic mix of folks from platform engineering, product management, engineering management, business analysis, agile coaching, and more. The presentations were amazing, and all our chats at the booth and around the venue were super interesting. I’ve tried to summarise my key learning below, and you can find links to all of the talk recordings via the Fast Flow Conf website.

“Let’s Cook!”: A Beginner's Guide to Making Tasty Web Projects

Aggregated on: 2024-10-22 17:06:34

When I was a child, I loved making pancakes with my grandmother. As time went on, I became a web developer, and now, instead of pancakes, I create various web projects with my colleagues. Every time I start a new project, I’m haunted by one question: How can I make this development "tasty" not only for the user but also for my colleagues who will work on it? This is a crucial question because over time, the development team may change, or you might decide to leave the project and hand it over to someone else. The code you create should be clear and engaging for those who join the project later. Moreover, you should avoid a situation where the current developers are dissatisfied with the final product yet have to keep adding new "ingredients" (read: functions) to satisfy the demands of the "restaurant owner." Important note: Before I describe my recipe, I want to point out that methods can vary across different teams and, of course, they depend on their preferences. However, as we know, some people have rather peculiar tastes, so I believe it's essential to reiterate even the simplest truths. Selecting the Ingredients: Choose Your Technology Stack Before you start cooking a dish, you usually check what ingredients you already have. If something is missing, you go to the store or look for alternative ways to acquire them, like venturing out to pick them up in the woods. The web development process is similar: before starting your work on a new project, you need to understand what resources you currently have and what you want to achieve in the end. To prepare for creating your technological masterpiece, it helps to answer a series of questions:

Symbolic and Connectionist Approaches: A Journey Between Logic, Cognition, and the Future Challenges of AI

Aggregated on: 2024-10-22 16:06:34

This article explores two major approaches to artificial intelligence: symbolic AI, based on logical rules, and connectionist AI, inspired by neural networks. Beyond the technical aspects, the aim is to question concepts such as perception and cognition and to reflect on the challenges that AI must take up to better manage contradictions and aim to imitate human thought. Preamble French researcher Sébastien Konieczny was recently named EuAI Fellow 2024 for his groundbreaking work on belief fusion and inconsistency management in artificial intelligence. His research, focused on reasoning modeling and knowledge revision, opens up new perspectives to enable AI systems to tend to reason even more reliably in the face of contradictory information, and thus better manage the complexity of the real world.

Platform Engineering: A Strategic Response to the Growing Complexity of Modern Software Architectures

Aggregated on: 2024-10-22 15:06:34

From monolithic applications to microservices and cloud-based architectures, the software development landscape is in constant change. These transitions have brought unprecedented opportunities but have also introduced significant complexities. Enter platform engineering: a strategic approach to managing the intricate infrastructure requirements of modern software systems. This opinion piece will explore how platform engineering is solving the challenges of today’s software architectures, its evolution, and the way industry giants like Netflix, Google, Microsoft, and Apple are leveraging it to streamline their operations. Finally, we’ll take a look at what the future holds for platform engineering. The Evolution of Software Architectures: From Monoliths to Microservices Software engineering has come a long way since the days of monolithic applications, where a single, unified codebase governed the entire system. While monolithic structures allowed for centralized management, they were often rigid and difficult to scale. As business needs evolved, software systems required greater agility, leading to the rise of microservices — smaller, independent units of functionality that could be developed, deployed, and scaled individually.