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

ExternalSoftware Engineering
DZone

Why Do Some Proxies Work Fine for Search But Fail Once You Start Filtering Results?

Automated web scraping, market intelligence data gathering, and large-scale search engine extraction platforms frequently hit an invisible wall. A collection of proxy IPs might execute initial search queries flawlessly, yielding a standard 200 OK status code and complete HTML payloads. However, the exact same backend application might immediately throw 403 Forbidden errors, encounter endless CAPTCHAs, or receive empty JSON responses the millisecond it applies structural filters — such as sorting

DZoneRead original
ExternalSoftware Engineering
GitHub Blog

How to build interactive experiences with canvases

Canvases turn AI into interactive workspaces where you can visualize information, explore workflows, and take action across complex tasks. The post How to build interactive experiences with canvases appeared first on The GitHub Blog.

AI & MLGitHub Copilotcanvases
GitHub BlogRead original
ExternalDevOps
HashiCorp Blog

Autonomous infrastructure: Managing complexity in agentic workflows

As AI becomes embedded across the enterprise, infrastructure operations are entering a new era. Organizations are no longer simply automating repetitive tasks or accelerating existing workflows. Increasingly, AI agents are beginning to participate directly in infrastructure operations — provisioning resources, responding to incidents, executing remediation workflows, and helping teams manage increasingly complex hybrid cloud environments.  This shift creates significant opportunities for speed a

HashiCorp BlogRead original
ExternalCloud
Google Cloud Blog

Supercharging pgvector: 4x faster HNSW vector search with AlloyDB

AlloyDB is a fully managed, PostgreSQL-compatible database service built for your most demanding enterprise workloads. It combines the best of open source PostgreSQL with Google’s advanced technology, offering massive scalability, high availability, and native AI capabilities. It serves as a performant relational store, a unified backend for vector and full text search, and an analytics engine that is up to 100x faster than standard PostgreSQL.  Vector search is the foundation of modern AI and R

Databases
Google Cloud BlogRead original

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