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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

Closing the gap to AI speed with a holistic test management approach

Sep 8, 2026 By Kateryna Gandzeichuk In Tricentis
Every AI headline this year is about speed: code shipping faster, test scripts generating in seconds, releases compressing from weeks to days. What gets less attention is what happens to quality when everything around it accelerates and the way you manage testing doesn’t.
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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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nodesource

The Risk Behind 103M EOL Node.js Downloads

Sep 8, 2026 By Estefany Aguilar In NodeSource
Legacy Node.js is rarely an awareness problem. It is a risk, cost, and uncertainty problem. Last week, we looked at a striking signal in the official Node.js download data in Node.js Downloads Surge in 2026 as Node.js 24 Takes the Lead. Node.js 24 had become the most downloaded Node.js release, a strong indication that modernization across the ecosystem is accelerating. But something else stood out.
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bugraptors

Top Test Automation Providers to Consider for Scalable Software Quality in 2026

Sep 8, 2026 By Kanika Vatsyayan In BugRaptors
As modern engineering teams shorten release cycles, delivering defect-free software without slowing development velocity has become a defining operational hurdle. Manual QA just isn't enough anymore to keep up with contemporary CI/CD pipelines, which is why we're seeing more and more businesses start to look to specialist test automation vendors to design, execute, and manage their automated test suites. But not all automation partners are the same.
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loadfocus

How to Set Up End-to-End Performance Testing for Multi-Cloud

Sep 8, 2026 By Bogdan In LoadFocus
Relying solely on a single cloud provider’s published benchmarks can lead to unexpected performance gaps. The Q1 2026 Backblaze report demonstrated that performance varies widely by region and provider – for example, AWS led in US-East file transfers, while Cloudflare R2 and Wasabi outperformed in EU-Central. Without validating real-world performance in every region and for each vendor in your stack, you risk missing critical blind spots that directly affect user experience.
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