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bugfender

Remote Debugging in IntelliJ: A Practical Guide

Sep 9, 2026 By Aleix Ventayol In Bugfender
Remote debugging using IntelliJ IDEA offers several benefits. Using this JetBrains IDE, you get interactive breakpoints, variable inspection, and debugging integrated directly with the IntelliJ editor. However you can also introduce configuration complexity and potential security risks if you don’t get it right. IntelliJ has become a favorite of the Bugfender team and in this post we’ll walk through the full setup, from the JVM flag to debugging inside a Docker container.
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hitachi vantara

Why Your AI Strategy Needs Both Shared and Shared-Nothing Storage

Sep 9, 2026 By Andy Gremett In Hitachi Vantara
As enterprises scale AI initiatives from the core data center to the edge, many organizations are thwarted by weak data practices and fragmented systems. The attempt to use a one-size-fits-all architectural approach for workloads that have fundamentally different needs is no longer a solution. If your AI ambitions are outgrowing your storage: the solution isn’t just adding more capacity, but matching the right architecture to the right stage of the AI lifecycle.
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Managing Legacy Software Access for Remote Engineering Teams

Managing Legacy Software Access for Remote Engineering Teams

Sep 9, 2026 By SystemsDigest In SystemsDigest
Engineering teams often become distributed long before the software they depend on does. A Windows application built for one office may still contain years of project data and support familiar workflows or specialist functions, even as engineers begin working across sites, from home or on different devices. Replacing that application is not always the first sensible move. If the software still does its job, the more immediate problem may be access. Teams need a practical way to reach a centrally hosted application without installing and maintaining another copy on every engineer's machine.
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tricentis

Modernizing at the speed of AI: How state and local governments can keep quality in check

Sep 8, 2026 By Tricentis Staff In Tricentis
For the first time ever, artificial intelligence has topped NASCIO’s annual ranking of state CIO priorities, ending cybersecurity’s 12-year reign at number one. It’s easy to see why: public agencies – like their private sector counterparts – see real potential in AI to modernize operations, accelerate service delivery, and help lean teams do more with fewer resources.
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Digital Autonomy in the Cloud Era: Reducing Reliance on Hyperscalers

Sep 8, 2026 By Perforce In Perforce
What would happen if you had to move a mission-critical application off your current cloud platform within the next year? In this webinar highlights reel, experts from Perforce OpenLogic explore why cloud portability, digital autonomy, and operational ownership are becoming strategic priorities for enterprise organizations. The panel opens with a simple but revealing question: How painful would it be to replatform a critical workload in the next 12 months? The answer often exposes hidden dependencies, operational risk, and the true state of an organization's cloud resilience.
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loadfocus

Quantum Computing's Impact on Cloud Testing

Sep 8, 2026 By Bogdan In LoadFocus
Quantum computing is beginning to influence complex scenarios in cloud testing, offering the potential to process vast possibilities in parallel. However, as of 2026, the technology remains experimental. Early hardware is limited in scale and prone to errors, so broad business impact is still several years away. Teams running large-scale performance testing or cryptography simulations should monitor quantum’s progress, but avoid overcommitting resources until the technology matures.
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Cheap Tokens, Exploding Bills: The Hidden Cost of AI Agents

Sep 8, 2026 By Cloudera, Inc. In Cloudera
80% cheaper AI model. Nearly 2X the data warehouse bill. Switching to a cheaper AI model can cut your token costs by 80%, but it might accidentally double your public cloud data warehouse bill. In this video, we break down the "Agentic Cost Shift"—how autonomous AI agents generate hidden, high-compute SQL queries that drive up data lakehouse costs—and how to fix it using Cloudera. See where the real cost of AI is shifting.
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hitachi vantara

What's Next Is Not More AI. It's Better Foundations.

Sep 8, 2026 By Akinobu Shimada In Hitachi Vantara
The next real advantage in artificial intelligence will not come from the next AI tool or application. It will come from a stronger data foundation beneath it. At Hitachi Vantara we work every day with customers on the data supporting their systems. That vantage point has led me to a simple conclusion: the leaders who pull ahead will not be the ones with the most advanced AI. The leaders will be those whose data foundations are strong enough so that AI can be trusted to act.
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