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The 'Lift-and-Shift' Trap: Why Cloud Migrations Go Wrong

Lift-and-shiftplays like a hit song on the AM radio—it’s a decent tune, but lacks soul. Cloud-native? Now that's a rock concert, shaking the ground with power. Redefine apps, don't just shuffle the old stuff upstairs... read more  

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AI is making developers faster, but at a cost

AI adoption edges code quality up by 3.4% and speeds up reviews by 3.1%, but beware—a 7.2% nosedive in delivery stability rears ugly security holes.Mask AI’s risky behavior with afortress-like infrastructure, a central vault for secrets,and a transparency upgrade to reclaim stability and nail compli.. read more  

AI is making developers faster, but at a cost
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A four day hiking trip into ScreenshotOne infrastructure to solve an issue

Misleading monitor alerts: Turns out, the villain wasexample.comblocking those pesky automated requests. No real service drama here. Just a wake-up call to tame those testing environments!.. read more  

A four day hiking trip into ScreenshotOne infrastructure to solve an issue
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The reality of GitOps application recreation

52%of teams believe they're ace at cloning apps from Git. High-performers?70%of them share in this delusion. Yet, lurking infrastructure wrinkles often deflate their grand plans. GitOps, that wild ride, inspires confidence. It dips, then soars. But just when enthusiasts think they're cruising, they .. read more  

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AI-Powered Ransomware and Malware Detection in Cloud Environments

Cloud platforms face increasing ransomware and malware threats, leading to a shift towards AI and ML for advanced detection. Supervised models excel at known threats, while unsupervised methods detect novel attacks but generate more false positives. Deep learning is great for complex patterns but la.. read more  

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Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability

Wixhas slipped probabilistic AI into the mix inCI/CD, and it doesn't clutter the works. This AI chews through build logs, shaving off hours from developer workloads. Migrating 100 modules took three months? Not anymore. They've sliced it to a mere 24-48 hours by marrying AI insights with their sharp.. read more  

Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability
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Use Terraform Modules in Pulumi Without Conversion

Pulumijust leveled up. It now runsTerraformmodules straight up. This means all that slick Pulumi magic paired with the Terraform groundwork you've already laid. Drop in a module, and Pulumi takes over execution and state management. Consider it your bridge to full Pulumi bliss... read more  

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Report - AI tools slow down experienced developers by 19%. A wake up call for industry hype?

Open-source devs got stuck, wasting 19% more time on tasks thanks to AI tools—oppose the hype and vendor bluster.Yet, a baffling 69% clung to AI, suggesting some sneaky perks lurk beneath the surface... read more  

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Server-Driven UI: Agile Interfaces Without App Releases

Server-driven UI (SDUI) shifts UI control to the server, allowing for instant, dynamic updates without app releases. JSON payloads define components, improving agility but requiring client-side rendering adjustments. Complex UI changes may still need app updates due to missing client-side components.. read more  

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Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes

Migrating Pinterest's search infrastructure to Kubernetes—toasty, right? But it tripped over a rare hiccup: sluggish 5-second latencies. The culprit? cAdvisor, overzealously spying on memory like a helicopter parent. Flicking off WSS? Problem evaporated... read more  

Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.