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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DZone

Data Pipeline Observability: Why Your AI Model Fails in Production

The 3:00 AM Incident That Changed Everything It was a Tuesday morning when the alerts started firing. Our recommendation engine, the one that drives 30% of our revenue, had tanked. Accuracy dropped from 94% to 58% overnight. The data science team immediately blamed the model. They started tweaking hyperparameters, re-training on new data, and running diagnostics. Nothing worked.  I got pulled into the war room at 3:00 AM. The first thing I asked wasn't "What's wrong with the model?" It was "

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ExternalDevOps
HashiCorp Blog

Terraform MCP server: Four real-world AI infrastructure patterns

AI is rapidly becoming the new operational interface for infrastructure. What once required deep expertise in Terraform, cloud platforms, security policies, and operational workflows can now begin with a simple prompt. Platform engineering and DevOps teams are increasingly experimenting with AI agents to accelerate provisioning, automate governance, simplify operations, and improve developer productivity.  However, organizations face a fundamental challenge when adopting AI for infrastructure op

HashiCorp BlogRead original
ExternalCybersecurity
SecurityWeek

Amazon Q Flaw Enabled Cloud Credential Theft via Malicious Repositories

AWS has patched the vulnerability and published its own advisory to inform customers about the potential impact.  The post Amazon Q Flaw Enabled Cloud Credential Theft via Malicious Repositories appeared first on SecurityWeek.

Artificial IntelligenceCloud SecurityVulnerabilities
SecurityWeekRead original
ExternalCybersecurity
SecurityWeek

More Klue Breach Victims Identified as Hackers Get Hacked

Roughly two dozen companies have notified their customers of the Klue-Salesforce incident impact. The post More Klue Breach Victims Identified as Hackers Get Hacked appeared first on SecurityWeek.

Data BreachesRansomwareSupply Chain Security
SecurityWeekRead original
ExternalSoftware Engineering
DZone

Building High‑Precision Vector Search for Document Retrieval on Databricks

For years, search technology meant one thing: type in a keyword, and the system goes hunting for an exact match. That works fine for product SKUs or error codes, but it falls apart the moment someone asks a real question. If your knowledge base is full of manuals, support tickets, transcripts, and reports, a person searching for "why does the machine shut down during startup" shouldn't have to guess the exact phrase the original author used. This is the gap that vector search closes. Instead of

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