News Aggregator

How Clojure Shapes Teams and Products

Aggregated on: 2025-05-06 17:13:36

Four episodes into our journey exploring real-world Clojure stories, fascinating patterns have emerged from our conversations with leaders at Quuppa, CodeScene, Catermonkey, and Griffin. While each company's domain is distinct — from indoor positioning technology to banking infrastructure – their experiences reveal compelling insights about how Clojure influences not just code but entire organizations. Building Teams and Projects The journey to adopting Clojure often begins with practical challenges. At Quuppa, they needed better ways to handle data serialization in their enterprise system. Catermonkey's Marten Sytema had already built a working product in Java but saw the potential for faster iteration with Clojure.

Beyond ChatGPT, AI Reasoning 2.0: Engineering AI Models With Human-Like Reasoning

Aggregated on: 2025-05-06 16:28:36

What You'll Learn This tutorial will teach you how to build AI models that can understand and solve problems systematically. You'll learn to create a reasoning system that can: Process user inputs intelligently Make decisions based on rules and past experiences Handle real-world scenarios Learn and improve from feedback Introduction Have you ever wondered how to create AI models that can think and reason like humans? In this hands-on tutorial, we'll build a reasoning AI system from scratch, using practical examples and step-by-step guidance.

Hybrid Cloud vs Multi-Cloud: Choosing the Right Strategy for AI Scalability and Security

Aggregated on: 2025-05-06 15:28:36

As enterprises accelerate AI adoption, their cloud strategy determines whether they can efficiently train models, scale workloads, and ensure compliance. Given the computational intensity and data sensitivity of AI, businesses must choose between hybrid cloud and multi-cloud architectures. While both hybrid cloud and multi-cloud approaches offer distinct advantages, understanding their nuances is crucial for organizations aiming to build robust AI infrastructure. This article explores the key differences between these strategies and provides practical guidance for enterprises preparing for AI adoption.

Streamlining Event Data in Event-Driven Ansible

Aggregated on: 2025-05-06 14:28:36

In Event-Driven Ansible (EDA), event filters play a crucial role in preparing incoming data for automation rules. They help streamline and simplify event payloads, making it easier to define conditions and actions in rulebooks. Previously, we explored the ansible.eda.dashes_to_underscores filter, which replaces dashes in keys with underscores to ensure compatibility with Ansible's variable naming conventions. In this article, we will explore two more event filters ansible.eda.json_filter and ansible.eda.normalize_keys.

Beyond Linguistics: Real-Time Domain Event Mapping with WebSocket and Spring Boot

Aggregated on: 2025-05-06 13:28:36

By definition, a markup language is a system used for annotating a document in a way that is syntactically distinguishable from the text. Essentially, it provides a way to structure and format text using tags or symbols that are embedded within the content. Markup languages are used to define elements within a document, such as headings, paragraphs, lists, links, and images. Hype Text Markup Language (HTML) is the most common of them. There are many other such as XML, SGML, Markdown, MathML, BBCode, to name a few. This article articulates the need of and presents a minimally working version to what the term “domain markup event mapping” is conferred. Lest an unfamiliar terminology introduced abruptly make the audience assume otherwise, let us illustrate the experience as a real-time commentary of an event, say a cricket match on popular online news media. ESPN, Yahoo cricket, Cricbuzz.com, Star Sports, and BBC are among the top players in this area. I remember how they used to be 15 years ago and and now, they've evolved to cater real-time updates. With advanced backend systems, communication protocols, better design approach and of course, modern browser technologies, they have always been on the top to provide their users the best intuitive updates compensating the absence of audio and video.

A Guide to Developing Large Language Models Part 1: Pretraining

Aggregated on: 2025-05-06 12:13:36

Recently, I came across a fascinating lecture by Yann Dubois in Stanford’s CS229: Machine learning course. The lecture offered an overview of how large language models (LLMs) like ChatGPT are built, covering both the fundamental principles and the practical considerations. I decided to write this article to share the key takeaways with a wider audience. The five main components of LLM development are:

AI, ML, and Data Science: Shaping the Future of Automation

Aggregated on: 2025-05-06 11:13:36

Imagine a not-too-distant future where machines can predict future events with unbelievable precision. This vision isn't science fiction anymore — it's being shaped by breakthroughs in artificial intelligence (AI), machine learning (ML), and data science. These fields have shifted from theoretical ideas to practical innovations powering change across sectors like healthcare, finance, transportation, and more. But what does the future have in store for these rising technologies, and how are they remodeling automation and data analysis? In this piece, we'll check out the key concepts behind AI, ML, and data science.

OpenSearch: Introduction and Data Management Patterns

Aggregated on: 2025-05-05 21:28:35

In this article we will provide an introduction to OpenSearch for data engineers and platform engineers. We will introduce basic concepts and briefly demonstrate how OpenSearch can be used correctly for data ingestion of log and analytics data at scale. Introduction to OpenSearch OpenSearch is an open-source search and analytics database engine, which developers use to build solutions for various applications, including search, data observability, data ingestion, Security Information and Event Management (SIEM), vector databases, and more.

Issue and Present Verifiable Credentials With Spring Boot and Android

Aggregated on: 2025-05-05 20:28:35

As digital identity ecosystems evolve, the ability to issue and verify digital credentials in a secure, privacy-preserving, and interoperable manner has become increasingly important. Verifiable Credentials (VCs) offer a W3C-standardized way to present claims about a subject, such as identity attributes or qualifications, in a tamper-evident and cryptographically verifiable format. Among the emerging formats, Selective Disclosure JSON Web Tokens (SD-JWTs) stand out for enabling holders to share only selected parts of a credential, while ensuring its authenticity can still be verified. In this article, we demonstrate the issuance and presentation of Verifiable Credentials using the SD-JWT format, leveraging Spring Boot microservices on the backend and a Kotlin-based Android application acting as the wallet on the client side.

A Developer's Guide to Mastering Agentic AI: From Theory to Practice

Aggregated on: 2025-05-05 19:28:35

Agentic AI represents a paradigm shift from traditional language models that simply respond to prompts. These systems can autonomously make decisions, plan multi-step processes, use tools, maintain memory, and learn from their experiences. As AI capabilities continue to advance, understanding how to develop and work with these agentic systems has become a critical skill for forward-thinking developers. This article presents a comprehensive learning path for mastering Agentic AI development, along with practical resources and code repositories to jumpstart your journey.

Recurrent Workflows With Cloud Native Dapr Jobs

Aggregated on: 2025-05-05 18:28:35

We have been learning quite a lot about Dapr now. These are some of my previous articles about Dapr Workflows and Dapr Conversation AI components. Today, we will discuss Jobs, another important building block of the Dapr ecosystem.

Unlocking the Benefits of a Private API in AWS API Gateway

Aggregated on: 2025-05-05 17:28:35

AWS API Gateway is a managed service to create, publish, and manage APIs. It serves as a bridge between your applications and backend services. When creating APIs for our backend services, we tend to open it up using public IPs. Yes, we do authenticate and authorize access. However, oftentimes it is seen that a particular API is meant for internal applications only. In such cases it would be great to declare these as private. Public APIs expose your services to a broader audience over the internet and thus come with risks related to data exposure and unauthorized access. On the other hand, private APIs are meant for internal consumption only. This provides an additional layer of security and eliminates the risk of potential data theft and unauthorized access.

Java Virtual Threads and Scaling

Aggregated on: 2025-05-05 16:28:35

Java Virtual Threads were introduced in JDK 19 as a preview feature as part of Project Loom, but they are fully supported starting from JDK 21 and beyond (JDK 24 includes further refinements). Virtual threads primarily help developers by simplifying concurrent programming — eliminating the need to choose between synchronous and reactive models, and reducing the complexity of working with NIO (non-blocking I/O) APIs. They seamlessly translate traditionally blocking operations such as I/O calls, synchronization, and thread sleeping into efficient, non-blocking operations under the hood, while allowing developers to write code in a straightforward, blocking style.

While Performing Dependency Selection, I Avoid the Loss Of Sleep From Node.js Libraries' Dangers

Aggregated on: 2025-05-05 15:28:35

Running "npm install" requires trusting unknown parties online. Staring at node_modules for too long leads someone to become a node_modules expert. We Should Have Solved This Issue By 2025 The registry expands relentlessly at the rate of one new library addition every six seconds while maintaining a current package total of 2.9 million. Most packages function as helpful code, while others contain fatal bugs that professionals must avoid altogether because the total number of registrations swells to mass proportions. The back-end services I manage process more than a billion monthly requests, while one rogue script from postinstall can damage uptime service agreements and customer trust.

AI Meets Vector Databases: Redefining Data Retrieval in the Age of Intelligence

Aggregated on: 2025-05-05 14:28:35

Ever wish we could search the internet not with just keywords, but with actual meaning, like what we really meant to say? That’s the magic happening when AI teams up with vector databases. Traditional databases are great for clean, structured stuff, like spreadsheets. But most of the data we create today? It’s messy and unstructured: think tweets, photos, voice notes, even memes. That’s where AI comes in. It’s amazing at understanding all that chaos, but it needs a smart system to store and search through it.

Mastering Fluent Bit: Installing and Configuring Fluent Bit on Kubernetes (Part 3)

Aggregated on: 2025-05-05 13:13:35

This series is a general-purpose getting-started guide for those of us who want to learn about the Cloud Native Computing Foundation (CNCF) project Fluent Bit. Each article in this series addresses a single topic by providing insights into what the topic is, why we are interested in exploring that topic, where to get started with the topic, and how to get hands-on with learning about the topic as it relates to the Fluent Bit project.

How to Build Scalable Mobile Apps With React Native: A Step-by-Step Guide

Aggregated on: 2025-05-05 12:13:35

Siloed development teams, fragmented code, and the relentless pressure to keep pace with two distinct platforms — these realities have long affected mobile app development. However, with platforms like React Native, developers have a robust solution for cross-platform apps with native-like features, offering consistent UI/UX across Android and iOS. Its "write-once, deploy everywhere" methodology has enabled all businesses, from startups to established enterprises, to maintain and refine a unified codebase for their apps. The impact? Reduced development costs, faster market entry, increased agility, and streamlined future updates and maintenance. This write-up will dig into the process of building cross-platform applications with React Native, exploring the key steps and best practices for successful implementation.

APIs for Logistics Orchestration: Designing for Compliance, Exceptions, and Edge Cases

Aggregated on: 2025-05-05 11:13:35

In logistics, orchestration involves more than connecting systems; it means managing moving parts, legal boundaries, and operational failures in real time. This discipline involves managing transportation logistics, documentation requirements, and timing responsibilities to handle exceptions between geographical locations, vendor relationships, and regulatory areas. In such an environment, APIs act as operational and compliance-critical interfaces, shaping the flow of legal documentation and orchestrating logistics. Online platforms frequently discover that the APIs they developed work correctly for ideal "happy path" scenarios; however, such scenarios rarely appear in real-world operations. Logistics never functions this way. Your API must be strong and meticulously understand logistical challenges when handling customs delays, truck breakdowns, weight discrepancies, and regulatory document failures.

From Fragmentation to Focus: A Data-First, Team-First Framework for Platform-Driven Organizations

Aggregated on: 2025-05-02 22:43:34

Success in today's complex, engineering-led enterprise organizations, where autonomy and scalability are paramount, hinges on more than adopting the latest tools or methodologies. The real challenge lies in aligning decentralized teams with shared goals while embedding governance without stifling innovation, creating a framework where teams can innovate freely, stay aligned, and ensure data is no longer treated as a second-class citizen. While CI/CD revolutionized software development, it overlooked the unique challenges of managing and governing data at scale. Data pipelines, quality, and compliance often remain fragmented, manual, or inconsistent, creating bottlenecks and risks. Enter Continuous Governance (CG): the evolution that puts data on equal footing with software, embedding compliance, quality, and automation directly into workflows without stifling creativity.

How Large Tech Companies Architect Resilient Systems for Millions of Users

Aggregated on: 2025-05-02 21:28:34

When you are serving millions of users, resilience cannot be something you add later. It has to be part of the design from the very beginning. Otherwise, with the way user expectations keep climbing and how global traffic patterns shift, your system simply won’t keep up. What I want to walk you through today is how top companies think about resilience at scale. We will go through the strategies that work in the real world — not just theory — and look at how availability, cost, observability, scaling, and system design all come together.

Microsoft Azure Synapse Analytics: Scaling Hurdles and Limitations

Aggregated on: 2025-05-02 20:28:34

Azure Synapse Analytics is a strong tool for processing large amounts of data. It does have some scaling challenges that can slow things down as your data grows. There are also a few built-in restrictions that could limit what you’re able to do and affect both performance and overall functionality. So, while Synapse is powerful, it’s important to be aware of these potential roadblocks as you plan your projects. Data Distribution and Skew Data skew remains a significant performance bottleneck in Synapse Analytics. Poor distribution key selection can lead to:

Rethinking Recruitment: A Journey Through Hiring Practices

Aggregated on: 2025-05-02 19:28:34

Introduction It is hard to ignore that hiring processes are becoming increasingly lengthy and intricate. What troubles me is the apparent lack of genuine innovation in this space. While candidates are required to invest more effort and energy into these processes, I find it difficult to see the proportional increase in value or impact for companies. In this article, I aim to share my thoughts, personal experiences, and some strategies that have worked for me. Last year, I participated in several hiring processes that felt remarkably familiar. As I navigated through the steps, it became evident that the approach, structure, and overall experience closely mirrored what I encountered four years ago.

Rust and WebAssembly: Unlocking High-Performance Web Apps

Aggregated on: 2025-05-02 18:13:34

Information technology continues to transform at an accelerated pace because modern businesses seek faster, high-performance applications. JavaScript-based development solutions from the past tend to fall behind when performing complex computations, which produce performance issues along with ineffective execution. Fast, efficient web applications emerge through a synergistic relationship between Rust and Wasm technology. WebAssembly offers developers a novel technology to achieve native-level execution speed in web applications alongside standard web platform benefits.

Breaking Bottlenecks: Applying the Theory of Constraints to Software Development

Aggregated on: 2025-05-02 17:13:34

Introduction The Theory of Constraints (TOC) is a problem-solving and continuous improvement methodology first introduced by Dr. Eliyahu M. Goldratt in his book The Goal. Although TOC originally gained popularity in manufacturing and supply chain management, its application soon became far broader: at its core, TOC asserts that any system has at least one limiting factor—or “bottleneck”—that determines its overall efficiency. By identifying and eliminating this constraint, an organization can significantly boost productivity in virtually any process. In my view, despite TOC’s roots in managing physical goods and delivery chains, its fundamental principles easily carry over into software development. Whether the “bottleneck” lies in code review, testing, or deployment, each stage of the software development lifecycle can become a constraint for the entire process. From my experience, finding and removing these constraints often marks the difference between slow releases and a fast, efficient workflow.

Docker Base Images Demystified: A Practical Guide

Aggregated on: 2025-05-02 16:13:34

What Is a Docker Base Image? A Docker base image is the foundational layer from which containers are built. Think of it as the “starting point” for your application’s environment. It’s a minimal, preconfigured template containing an operating system, runtime tools, libraries, and dependencies. When you write a Dockerfile, the FROM command defines this base image, setting the stage for all subsequent layers. For example, you might start with a lightweight Linux distribution like Alpine, a language-specific image like Python or Node.js, or even an empty "scratch" image for ultimate customization. These base images abstract away the underlying infrastructure, ensuring consistency across development, testing, and production environments. Choosing the right base image is critical, as it directly impacts your container’s security, size, performance, and maintainability. Whether optimizing for speed or ensuring compatibility, your base image shapes everything that follows.

AI-Assisted Coding for iOS Development: How Tools like CursorAI Are Redefining the Developer Workflow

Aggregated on: 2025-05-02 15:28:34

The landscape of iOS engineering has seen a remarkable transformation since its inception, evolving from days of Interface Builder to AI enhanced development workflows. Programmers from all backgrounds are reporting an increase in productivity through AI assistance. We are seeing a fundamental shift in how iOS applications are conceptualized and built. However, this rise in AI assisted development brings both opportunities and challenges that every iOS developer needs to understand. The Evolution of iOS Development iOS engineering has come a long way, just like the arch of software engineering in general. Back in the day, iOS engineers used Interface Builder and XIB files, which were like XML files for creating static views.

Optimize Deployment Pipelines for Speed, Security and Seamless Automation

Aggregated on: 2025-05-02 14:28:34

A developer's work doesn't stop once the code is written. The real action begins when it’s deployment day. The process—managing multiple environments, testing new features, or ensuring seamless uptime during releases—must be fast, secure, and efficient. Can you imagine a world where deployment is smooth, automated, and risk-free—where strategies scale, adapt, and are successful every single time?

Unlocking AI Coding Assistants Part 4: Generate Spring Boot Application

Aggregated on: 2025-05-02 13:28:34

In this final installment of our Unlocking AI Assistants series, we will create a Spring Boot application from scratch using an AI coding assistant. The goal is not to just merely create a working application, but to create production-grade code. Enjoy! Introduction Some tasks are executed with the help of an AI coding assistant. The responses are evaluated and different techniques are applied, which can be used to improve the responses when necessary.

Comparing SaaS vs. PaaS for Kafka and Flink Data Streaming

Aggregated on: 2025-05-02 12:43:34

The cloud revolution has transformed how businesses deploy, scale, and manage data streaming solutions. While Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) cloud models are often used interchangeably in marketing, their distinctions have significant implications for operational efficiency, cost, and scalability. In the context of data streaming around Apache Kafka and Flink, understanding these differences and recognizing common misconceptions—such as the overuse of the term “serverless”—can help you make an informed decision. Additionally, the emergence of Bring Your Own Cloud (BYOC) offers yet another option, providing organizations with enhanced control and flexibility in their cloud environments. The Data Streaming Landscape: Kafka, Flink, Cloud, and More The Data Streaming Landscape 2025 highlights how data streaming has evolved into a key software category, moving from niche adoption to a fundamental part of modern data architecture.

My LLM Journey as a Software Engineer Exploring a New Domain

Aggregated on: 2025-05-01 22:13:33

Over the holidays when I had some time off, I pondered the thought of how to make some passive income. In this day and age of AI and all the hype, I had been thinking that the world is my oyster. With the threat of AI taking over the world, especially in my day to day as a software engineer, I should start bucking up my ideas and get involved.

Evolution of Cloud Services for MCP/A2A Protocols in AI Agents

Aggregated on: 2025-05-01 21:13:33

The rapid evolution of artificial intelligence (AI) is reshaping cloud service architectures, necessitating new frameworks to support the growing complexity and autonomy of AI agents. The MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols are enhancing how AI agents interact with cloud services. MCP introduces a modular client-server architecture that allows AI models to connect seamlessly to various services without the need for custom integrations. Concurrently, the A2A protocol facilitates direct communication between AI agents, enabling them to collaborate effectively across different platforms and frameworks. As organizations increasingly adopt AI-driven solutions, the integration of MCP and A2A protocols into cloud service architectures is becoming imperative. These protocols not only streamline the development and deployment of AI agents but also pave the way for more dynamic, flexible, and scalable cloud ecosystems.

Internal Developer Portals: Modern DevOps's Missing Piece

Aggregated on: 2025-05-01 20:13:33

You have experienced the following scenario as a developer in 2025: you are prepared to test an API or introduce a new microservice, but you are initially stalled. You require authorization to construct a container, database access, or guidance on which CI/CD pipeline to employ. You go through old documents, ping a few Slack channels, and maybe, just possibly, you'll be unblocked before lunch. It's not a tool problem. This issue stems from the lack of experience among developers. To bridge the gap, internal developer portals (IDPs) are taking over.

Zero Trust for AWS NLBs: Why It Matters and How to Do It

Aggregated on: 2025-05-01 19:28:33

Introduction to AWS Network Load Balancer AWS has several critical services that drive the internet. If you have ever built any application on top of AWS and need a high throughput or volume of traffic, the chances are that you’ve leaned on an AWS Network Load Balancer at some point in the discussion. AWS NLB is nothing but a Layer 4 load balancer, and consistency helps with low-latency forwarding of massive amounts of TCP, UDP, and even TLS traffic. NLBs, being operational at Layer 4 of the OSI model, support a host of features. You get features like static IPs, support for long-lived connections out of the box, and can be configured to our requirements. In my projects, I’ve used NLBs for use cases ranging from being the front end for low-latency database requests to hosting an entire backend of an application. NLB helps in all these use cases by giving us a consistent latency, and it holds up its end every time. There are alternatives for NLBs like the AWS Application Load Balancers, but they operate at a higher level of the OSI model and are not always the choice for developers looking for a high-throughput, no-nonsense load balancer.

How Platform Engineering Is Impacting Infrastructure Automation

Aggregated on: 2025-05-01 18:28:33

Platform engineering is all about building reusable tools, workflows, and infrastructure that empower development teams to move faster without compromising on reliability or security. It’s a shift from ad hoc support to treating internal platforms like products, complete with roadmaps, user feedback, and clear ownership. Paired with infrastructure automation, which handles tasks like provisioning environments, scaling systems, and enforcing configurations, these disciplines help reduce toil and eliminate the bottlenecks that come with manual operations.

Integrating Security as Code: A Necessity for DevSecOps

Aggregated on: 2025-05-01 17:28:33

Security practices in DevOps have evolved from being a minor concern to one of the main focus points, which resulted in the DevSecOps movement. It’s about “shifting security to the left” in the software development lifecycle — so the security measures are a fundamental component. Traditionally, security management was moved to the final stages of developing software, and it has proven its ineffectiveness in dealing with the challenges of modern software projects. This is where Security as Code (SaC) comes in. It is a way to integrate security into every phase of development, from start to deployment, so that security and development teams can work together effectively and successfully.

GDPR Compliance With .NET: Securing Data the Right Way

Aggregated on: 2025-05-01 16:13:33

When developers hear the term GDPR, the initial reaction often involves stress and uncertainty, especially around how it might slow down development or degrade application performance. But here’s the truth: GDPR isn’t just another regulation to check off your list. It's a framework that can help build trust, protect user rights, and improve your application’s overall data hygiene.

Selenium Pagination Tutorial: How to Handle Page Navigation

Aggregated on: 2025-05-01 15:43:33

As websites are becoming an integral part of the business, they must have a good UI that provides the best user experience and loads the content quickly. Websites can be categorized into two types based on the categorisation of their content: paginated and infinite-scrolling websites. The paginated website divides the content of the website into different pages, allowing the user to access all the available content on the different pages of the website one by one seamlessly.

The 4 R’s of Pipeline Reliability: Designing Data Systems That Last

Aggregated on: 2025-05-01 14:28:33

As AI and machine learning applications continue to proliferate, the data pipelines that power them have become more mission-critical than ever. As retrieval-augmented generation (RAG) applications and real-time AI systems are becoming the norm, any glitch in a data pipeline can lead to stale insights, suboptimal model performance, and inflated infrastructure costs. Working in this domain has taught me that even minor lapses in pipeline reliability can escalate into major outages. To combat this, I rely on a framework I call the 4 R’s of pipeline reliability: robust architecture, resumability, recoverability, and redundancy. Here’s how each element contributes to building data systems that truly last.

Subtitles: The Good, the Bad, and the Resource-Heavy

Aggregated on: 2025-05-01 13:28:33

Stack: HTML + CSS + TypeScript + Next.js (React) Goal: Build a universal expandable subtitle with an embedded "Show more" button and gradient background.

Unlocking AI Coding Assistants Part 3: Generating Diagrams, Open API Specs, And Test Data

Aggregated on: 2025-05-01 12:13:33

While large language models (LLMs) offer valuable savings, automation, and time management, knowing and understanding their limitations—especially in defining relationships—and how to guide their output effectively can make a big difference. Let's dive into how you can make the most of LMMs in your every day development tasks. Enjoy! Introduction Part 3 of our Unlocking AI Assistants series explores how LLMs can support developers by generating UML diagrams, OpenAI specs, new features, and test data. You can find the first two articles below:

Create Your Own AI-Powered Virtual Tutor: An Easy Tutorial

Aggregated on: 2025-04-30 21:28:33

It is a very powerful world with AI being a thing. Now, you can have a tutor who never gets tired, who doesn’t roll their eyes at your dumb questions (we all have them, I do, admit it), and who is available 24/7 — no scheduling problems, no coffee breaks, just straight knowledge on demand. That’s the magic of AI-based tutors. But before we start dreaming about how AI could replace your least favorite professors, let’s discuss how to build one in fact. As someone who has tinkered with AI models for countless hours (and broken them here and there), I have been somewhat obsessed with the notion of an AI tutor. In this guide, I’m going to take you through the main components needed to build one for yourself, from Natural Language Processing (NLP) to knowledge graphs and adaptive learning models. No, this is not a plug-and-play recipe, though it will provide you with a strong road map for your path.

Google Cloud Document AI Basics

Aggregated on: 2025-04-30 20:13:33

Google Cloud’s Document AI (Doc AI) helps organizations automate the processing, extraction, and classification of massive amounts of documents. Doc AI has a lot of capabilities and use cases, and here are a few ways it can help organizations. They’re tailored towards the public sector since that’s the customers I help; however, these use cases also apply to private companies.

Docker Model Runner: Streamlining AI Deployment for Developers

Aggregated on: 2025-04-30 19:13:33

Development teams working in the fast-evolving AI development environment must tackle efficient model deployment as their primary operational challenge. Docker Model Runner represents a transformative containerization solution that drives changes in how developers create, deploy, and expand their applications that use AI technology. This article will cover how this technology bridges the gap between data science testing phases and the deployment of ready-to-use AI systems.

A Guide to Container Runtimes

Aggregated on: 2025-04-30 18:13:33

Kubernetes, also known as K8S, is an open-source container orchestration system that is used for automating the deployment, scaling, and management of containerized workloads. Containers are at the heart of the Kubernetes ecosystem and are the building blocks of the services built and managed by K8S. Understanding how containers are run is key to optimizing your Kubernetes environment.

Fixing Common Oracle Database Problems

Aggregated on: 2025-04-30 17:13:33

Lots of businesses use Oracle databases to keep their important stuff. These databases mostly work fine, but yeah, sometimes they run into issues. Anyone who's worked with Oracle knows the feeling when things go wrong. Don't worry, though — these problems happen to everyone. Most fixes are actually pretty easy once you know what you are doing. I'll show you the usual Oracle headaches and how to fix them.

Setting Up Data Pipelines With Snowflake Dynamic Tables

Aggregated on: 2025-04-30 16:13:33

This guide walks through the steps to set up a data pipeline specifically for near-real-time or event-driven data architectures and continuously evolving needs. This guide covers each step, from setup to data ingestion, to the different layers of the data platform, and deployment and monitoring, to help manage large-scale applications effectively. Prerequisites Expertise in basic and complex SQL for scripting Experience with maintaining data pipelines and orchestration Access to a Snowflake for deployment Knowledge of ETL frameworks for efficient design Introduction Data pipeline workloads are an integral part of today’s world, and maintaining these workloads needs massive effort, and it's cumbersome. A solution is provided within Snowflake, which is called dynamic tables.

Develop a Reverse Proxy With Caching in Go

Aggregated on: 2025-04-30 15:13:33

Reverse proxies act as a crucial intermediary layer in modern web infrastructure, sitting between clients and servers and offering additional functionality such as load balancing, SSL termination, and caching. In this article, we are going to construct a reverse proxy with HTTP response caching using Go’s standard library. The Basic Structure As a first step, we will declare our core data structures. We need:

Java’s Next Act: Native Speed for a Cloud-Native World

Aggregated on: 2025-04-30 14:43:33

Once the unshakable king of enterprise development, Java is now facing its most important existential moment since its creation. It’s not that Java has failed; it’s that the world around it has changed. And Java, with its traditional runtime model and heavyweight architecture, hasn’t always kept up. In a cloud-native world where agility, speed, and efficiency matter more than ever, traditional Java stacks often struggle. They’re too slow to start, too heavy on memory, and too rigid for the ephemeral, elastic environments of today’s infrastructure.

Building Scalable and Resilient Data Pipelines With Apache Airflow

Aggregated on: 2025-04-30 13:13:33

I have seen articles discussing Apache Airflow and its many capabilities. It's crucial to understand production-quality data pipelines meant to "handle" terabytes of daily data generated by the enterprise's software-as-a-service (SaaS) applications. The article takes you beyond the basic introductory stuff and on to more advanced techniques and best practices for developing scalable, fault-tolerant, and observable Airflow workflows. Administration for an enterprise in a modern SaaS context is very challenging. It comes with a myriad of challenges in terms of monitoring, administration, and understanding the usage of applications across the organization. It involves the management of increasing amounts of unstructured data with a high tendency for real-time visibility under user activity, resource utilization, and compliance requirements. From this data, organizations need clear insights into usage within their applications to enable them to manage their human resources efficiently and optimally while being effective and compliant. Therefore, they need a powerful Admin Insights pipeline capable of:

Scaling Mobile App Performance: How We Cut Screen Load Time From 8s to 2s

Aggregated on: 2025-04-30 12:13:32

User experience is king in the crowd-sourced world of mobile app development, especially in the case of speed. If your app takes too long to load, those same users will bypass your app in favour of a speedy, seamless offering. When we realized that our app was taking a frustrating 8 seconds to load some screens, this was a hard reality for us to accept. With the competition being fierce and users becoming more and more impatient, we knew something had to change. Read this article as we detail our path from an 8-second screen load time to under 2 seconds, all with a combined multi-sided attack on mobile optimization.