Thu.Jun 19, 2025

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Complete Guide: Managing Multiple GitHub Accounts on One System

Dzone - DevOps

This comprehensive guide helps developers configure and manage multiple GitHub accounts on the same system, enabling seamless switching between personal, work, and client accounts without authentication conflicts. Overview Managing multiple GitHub accounts on a single development machine is a common requirement for modern developers. Whether you're maintaining separate personal and professional identities, working with multiple clients, or contributing to different organizations, proper account

System 40
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SAP, IBM slammed for role in Quebec auto insurance board ERP overhaul fiasco

CIO

Investigations into a controversial Canadian ERP implementation involving SAP SE and LGS, an IBM subsidiary, took a bizarre turn Wednesday when the Quebec anti-corruption squad conducted raids at the headquarters of the organization which commissioned the system overhaul. According to a report from the Canadian Broadcasting Corporation (CBC), the raid at the head office of Société de l’assurance automobile du Québec (SAAQ), the provincial auto insurance board, was in relation to the rollout in 2

Insurance 116
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Centralized Monitoring for Data Pipelines: Combining Azure Data Factory Diagnostics with Databricks System Tables

Xebia

Introduction Monitoring data pipelines is essential for ensuring reliability, troubleshooting issues, and tracking performance over time. At Xebia, we frequently implement a data platform architecture that looks like this: In this setup, Azure Data Factory (ADF) is responsible for ingesting data from a wide variety of sources into a storage account, while Databricks takes care of transforming that data and making it available for end users.

Azure 130
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From cloud first to cloud only: How PPG’s Bhaskar Ramachandran drives bold transformation

CIO

As vice president and CIO at PPG, Bhaskar Ramachandran is spearheading a multipronged transformation strategy to fuel innovation, customer growth, and new capabilities through cloud technology and AI. With a track record of delivering business impact across several industries, Ramachandran leads with a people-first mindset that helps accelerate strategy.

Cloud 88
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How to Start Virtual Care the Right Way: A Proven Roadmap for 2025 and Beyond

Speaker: Dr. Christine Gall, DrPH, MS, BSN, RN

The promise of virtual care is no longer theoretical and is now a critical solution to many of healthcare’s most urgent challenges. Yet many healthcare leaders remain unsure how to build a business case for investment and launching the right program at the right time can be the difference between value and failure. For organizations seeking a financially sound, clinically effective entry point, Virtual Patient Observation (VPO) offers a compelling case to lead with.

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Introduction to Cloud Native Computing

The New Stack

What Is Cloud Native? Cloud native computing is a transformative approach in software development, where services are built and managed using container architectures. It’s characterized by its use of containers , microservices, immutable infrastructure and declarative APIs. It represents a major shift from the monolithic, tightly-bound client-server architectures that enterprises ran their systems on previously.

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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

AWS Machine Learning - AI

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be seamlessly combined to produce longer, more complex videos.

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Beyond Automation: How Artificial Intelligence Is Transforming Software Development

Dzone - DevOps

Not too long ago, AI felt like something out of the future. Now, it’s everywhere. What once was a niche topic tucked away in academic circles has rapidly become a driving force reshaping how we live, work, and connect with the world. Today, AI touches nearly every part of daily life, from handling small, repetitive tasks to helping solve problems once thought out of reach.

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Article: Decentralized Architecture Needs More Than Autonomy

InfoQ Culture Methods

Architectural success in decentralized systems depends more on how decisions are made than on system design alone. Replacing control with trust requires visible, structured practices—such as ADRs and advice forums—to build confidence and clarity.

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A Deep Dive into Micro Frontends: Architecture and Implementation

Coforge

Introduction Micro-frontends have emerged as a powerful architectural pattern for building complex web applications. By breaking monolithic frontends into smaller, independent services, we can achieve greater scalability, maintainability, and development velocity. In this blog, we'll delve into the core concepts, technical implementation, and best practices of micro-frontends.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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How To Be a GenAI Hero Without Being an ML Engineer

The New Stack

Vishnu Kammari also contributed to this article. Generative AI (GenAI) is rapidly becoming a cornerstone of modern business strategies, with many organizations actively integrating AI capabilities into their software and workflows. While enterprises are pushing forward with proofs of concept (PoCs), specialized expertise is often needed to turn these into production workloads, creating hurdles in advancing beyond initial implementation.

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Tracking IBM Progress in Quantum Computing and Error Correction

Ooda Loop

IBM has declared an ambitious goal: to build the world’s first large-scale, fault-tolerant quantum computer by 2028. If successful, this will be a milestone not just in computation but in geopolitics, cybersecurity, and scientific discovery. At the heart of the initiative is a system capable of 100,000 physical qubits—designed to finally overcome the daunting obstacle of quantum error correction.

System 72
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Rust Eats Python’s, Java’s Lunch in Data Engineering

The New Stack

The Rust programming language is moving into new areas, including enterprise data pipelines. While most of the industry relies on Python and Java for data processing, a growing number of companies are discovering that Rust’s combination of performance, safety and modern design makes it a game-changer for data-intensive workloads. The latest proof point comes from Singular , whose new Extract platform is delivering 17x performance improvements and up to 70% cost reductions compared to estab

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Cloud in the age of AI: Six things to consider

CIO

Recently I spoke to a senior leader of a Europe-based global consumer goods business, and they said that they had always believed that fundamentally cloud would be more efficient than the alternatives. That in a globalized economy pooling resources on infrastructure would always work out to be cheaper in the end. And that they no longer believe that!

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Struggling to Scale Test Coverage Under Pressure?

When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.

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New in Apache Iceberg 3.0: Fresh Data Types, NULL Vals, Change Capture

The New Stack

Russell Spitzer Version 3 of Apache Iceberg has been released. A number of features have been added that expand the flexibility of the data table format, including a few much-requested data types, faster deletes, row lineage and default values for NULL types. This new version — as well the v4 version the core development team is about to start on — will better equip Iceberg for new types of use cases, explained Russell Spitzer , a program manager for Apache Iceberg.

Data 89
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Integrating Selenium With Amazon S3 for Test Artifact Management

Dzone - DevOps

Test automation is a core part of the software testing life cycle today, and effective test artifact management is the most important aspect of maintaining a stable testing environment. For most software projects using Selenium for automated testing, integrating with Amazon S3 (Simple Storage Service) provides a scalable and secure solution for storing test data, reports, screenshots, videos, and logs.

Testing 40
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Building an AI Agent for SQL to Dashboard Conversion

InnovationM

Introduction In today’s data-driven world, businesses rely heavily on insights derived from their databases. However, extracting meaningful information often requires specialized skills in SQL and data visualization. This blog post details the development of an AI agent designed to bridge this gap, enabling users to generate interactive dashboards from their SQL databases using natural language, without writing a single line of code.

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The Top 5 AI Trends for Developers

DevOps.com

Sign up for our newsletter! Stay informed on the latest DevOps news DevOps.com Latest Articles Features Most Read News News Releases Topics AI Continuous Delivery Continuous Testing Cloud Culture DataOps DevSecOps Enterprise DevOps Leadership Suite DevOps Practice ROELBOB DevOps Toolbox IT as Code Videos/Podcasts Techstrong.tv Podcast Techstrong.tv - Twitch DevOps Unbound Webinars Upcoming Calendar View On-Demand Webinars Library Events Upcoming Events On-Demand Events Sponsored Content Related

Trends 59
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Subscription Management in the SaaS World: Challenges and Solutions

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오픈AI의 ‘o3’ 가격 인하, ‘바이브 코더’의 판을 뒤흔들다

CIO

지난 6월 10일, 오픈AI(OpenAI)가 대표 추론 모델인 o3의 가격을 대폭 인하했다. 입력 100만 토큰당 10달러, 출력 100만 토큰당 40달러였던 가격이 각각 2달러, 8달러로 약 80% 줄어든 것이다. API 리셀러들도 곧바로 반응했다. 커서(Cursor)는 이제 o3 요청을 GPT-4o와 동일하게 계산하며, 윈드서프(Windsurf)도 ‘o3-reasoning’ 등급을 단일 크레딧으로 낮췄다. 커서 사용자 입장에서는 하루 만에 비용이 10분의 1로 줄어든 셈이다. 지연 시간도 함께 개선됐다. 오픈AI는 새로운 지연 시간 수치를 공식적으로 발표하진 않았지만, 서드파티 대시보드에서는 여전히 긴 프롬프트의 경우 첫 토큰 출력까지 약 15~20초가 소요되는 것으로 나타난다.

Tools 97
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Integrating OpenAI/GPT Models Into Your Web and Mobile Apps

Dzone - DevOps

The rapid growth of generative AI is shifting the user’s expectations for next-gen applications. In this context, OpenAI/GPT models are gaining prominence. Being one of the booming customer apps of the decade, OpenAI/GPT has crossed the 100 million mark of having weekly active users by the year 2024. Behind the scenes, businesses are eager to integrate the same GPT functionalities into their own products by utilizing the OpenAI API.

Mobile 40
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How to Select High-Impact AI Agent Use Cases

Dataiku

Most companies struggle to pick the right AI agent use cases. They either chase flashy demos or waste time on low-value projects. In our recent webinar, my colleague Christian Capdeville and I shared a simple five-step framework. This framework helps organizations choose AI agent use cases that deliver real results and ROI.

How To 64
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Baseline Newly Available: Stay on Top of New Web Features

The New Stack

The web platform is always evolving and improving; the downside for web developers is knowing which new features are available and when they are ready to work with. Interop is a reasonable guide to web features you can expect to become mature enough to use over the next few years, but it only covers what everyone in the browser world has agreed to work on.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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How Babson College went all-in on AI in higher education

CIO

Over the past two years, US colleges have quietly integrated generative artificial intelligence (GenAI) tools into the classroom and behind the scenes. At Babson College, just outside Boston, the shift to AI has been anything but quiet — it’s been bold, fast, and full of purpose. Babson is certainly not the only college in the US implementing AI technologies.

Education 165
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China made millions of drones. Now it has to find uses for them

Ooda Loop

In a school district in Shenzhen, would-be truants dodge surveillance drones that patrol the streets. At a nearby park, office workers pick up takeaway delivered by drones from food delivery app Meituan. Elsewhere in southern China’s technology hub, unmanned aircraft transport vials of blood between hospitals, help police departments with crowd control and extinguish blazes […] The post China made millions of drones.

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AWS Extends MCP Support in Amazon Q Developer to Multiple IDEs

DevOps.com

Amazon Web Services (AWS) has added support for the Model Context Protocol (MCP) with the Visual Studio Code and JetBrains plugins that are provided for Amazon Q Developer, a set of artificial intelligence (AI) agents that automate a range of software development tasks.

AWS 59
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This AI Model Never Stops Learning

Ooda Loop

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of Technology (MIT) have now devised a way for LLMs to keep improving by tweaking their own parameters in response to useful new information. The work is a […] The post This AI Model Never Stops Learning appeared first on OODAloop.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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AI’s $500B+ Gamble: Can Ethics and Energy Keep Up?

The New Stack

With the growing popularity of artificial intelligence technology over the past year, critics have begun to highlight its numerous shortcomings. Concerns about its potential consequences peaked with OpenAI’s recent announcement of its $500 billion infrastructure investment for the Stargate Project. Critics have raised concerns about the possible implications of widespread AI adoption, including its environmental impact and its effects on the labor market.

Energy 98
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Angular Signals State Management

Perficient

Angular Signals State Management is a new, built-in approach that simplifies state handling in Angular. Unlike RxJS or NgRx, Signals offer an intuitive, reactive, and efficient way to manage state with automatic dependency tracking and reduced re-renders. What Are Signals in Angular? Signals in Angular represent a new reactivity model that allows you to track and update state efficiently.

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How to Add a Jenkins Agent With Docker Compose

Dzone - DevOps

In the previous article on installing Jenkins with Docker Compose , we learned how to install and set up Jenkins using Docker Compose. It is now time to learn how to add a Jenkins agent using Docker Compose. With the installation of Jenkins using Docker Compose, we are familiar with Docker Compose and its related file contents. Before we talk about adding the Jenkins agent using Docker Compose, let’s first understand what Jenkins agents are and what they are used for.

How To 40