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Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy

xGen-small flips the script.It slashes model size yet juggles 256K tokens like a caffeinated ninja. So much for the old bigger-faster-better mantra. By mixing precise data curation, scalable pre-training, and ironclad privacy, this Salesforce gem rolls out enterprise-ready AI that’s as budget-friend.. read more  

Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy
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Getting Started with Semantic Kernel

Semantic Kernelis a developer's best friend, an open-source dynamo for crafting AI apps withlarge language models (LLMs). It cuts through complexity like a hot knife through butter... read more  

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Identifying Hidden Cloud Waste in Your Code

Vadim Soloveyblows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focus—ditch those endless cloud tweaks for something deeper:code-level fixes. Enter execution profiling and .. read more  

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AI in Incident Management: Balancing Automation & Expertise

AI-driven incident management holds great promise, but what happens when AI fails? Engineers risk losing critical system understanding as AI takes over routine tasks, highlighting the need for human oversight and collaboration in this AI-enhanced future... read more  

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Tales from the cloud trenches: The Attacker doth persist too much, methinks

Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin events—.. read more  

Tales from the cloud trenches: The Attacker doth persist too much, methinks
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How we optimized LLM use for cost, quality, and safety to facilitate writing postmortems

Postmortem Optimization:Slashing LLM costs while preserving quality and safety. Who said AI can’t spruce up even the most mind-numbing tasks?.. read more  

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9 Months Later, Microsoft Finally Fixes Linux Dual-Booting Bug

Microsoftjust dropped the KB5058385 patch and—hallelujah—it solves the nine-month Secure Boot nightmare. But hold your cheers, Linux dual-booters. You're still stuck in no-man's land... read more  

9 Months Later, Microsoft Finally Fixes Linux Dual-Booting Bug
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Zero-Touch Bare Metal at Scale

Mapping hardware to Linux device names? Chaos. EnterSystemD: its magic cleans up the network interface mess. Storage naming, though? Serial numbers rule the roost. With the sharp combo ofRedfish HTTP APIandPixiecore, they revamped server setup. Price tag? A jaw-droppingunder $1 for 50 servers. Thank.. read more  

Zero-Touch Bare Metal at Scale
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CI/CD Implementation for Azure Sentinel Using Terraform

Azure Sentineldeployment now tightens security through CI/CD usingTerraformandAzure DevOps. Say goodbye to those clunky manual setups. Hello, sleek automation... read more  

CI/CD Implementation for Azure Sentinel Using Terraform
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OpenAI to help UAE develop one of world's biggest data centers

OpenAI plans to help develop amassivenew data center in the United Arab Emirates that may eventually be one of the largest in the world, Bloomberg News reported on Friday. The ChatGPT maker is expected to be one of the primary anchor tenants for a5-gigawattdata center campus in Abu Dhabi, the report.. read more  

Fleet is a high-scale GitOps system built to support the realities of multi-cluster operations. Instead of pushing YAMLs or relying on brittle scripts, Fleet treats Git as the authoritative state and continuously reconciles that state across every cluster under management.

Its architecture uses lightweight agents, bundling, and content distribution to propagate changes efficiently - whether you’re managing five clusters or five thousand. Policies, Helm charts, CRDs, and raw manifests all become versioned, reviewable, and auditable through Git.

Fleet integrates cleanly with Rancher, enabling teams to automate cluster bootstrapping, enforce standards, roll out updates safely, and instantly detect drift. It excels in environments that demand consistency: edge fleets, hybrid cloud estates, regulated sectors, and platform teams building opinionated Kubernetes platforms.