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dev.to
1,042 words

Deploying MCP Servers on Kubernetes

Most MCP servers start life as a local, stdio-based process — the client spawns the server as a child process, messages flow over stdin and stdout. The instinct once that server needs to serve more than one client is to containerize…

dev.to
416 words

Multi-Tenant MCP: Isolation Patterns That Hold Up

This article is about what real isolation looks like across three architectural patterns, which layer each one enforces, and how to test the boundary rather than just build it. Multi-tenant MCP deployments settle into three recognizable shapes. The pattern a…

dev.to
125 words

按关键词搜索供应商报价，结合详情 API 评估商品质量与供货稳定性

​ 在电商与内容平台的日常运营中，团队常常同时面对两份数据：一份是用户搜索关键词的搜索量变化，另一份是货架上商品的详情与成交数据。前者代表需求，后者代表供给，但两者往往分散在不同系统、不同口径里，难以直... Tagged with analytics, api, data, python. CREATE TABLE search_keyword_daily ( stat_date DATE NOT NULL, keyword VARCHAR(128) NOT NULL, search_cnt BIGINT NOT NULL DEFAULT 0, click_cnt BIGINT NOT NULL DEFAULT 0, order_cnt BIGINT NOT NULL DEFAULT 0, PRIMARY KEY (stat_date, keyword) ); CREATE…

infoq.com
1,785 words

AI, ML, and Data Engineering InfoQ Trends Report 2026

Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add branching, retries, and validation, and code harnesses verify outputs through execution. The article advises validating model…

1,177 words

Tencent plugs WorkBuddy into enterprise systems

Tencent is plugging its WorkBuddy artificial intelligence (AI) agent into enterprise resource planning (ERP), customer relationship management (CRM) and other business systems as it pushes agents beyond personal productivity and into the running of companies. Speaking in Mandarin at the…

Cloud and Enterprise AI

Where companies rent their models, and what they actually run on them.

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Inside Cloud and Enterprise AI

The Hyperscalers AWS, Azure and Google Cloud selling AI capacity.
Enterprise Software Salesforce, SAP, ServiceNow and AI inside the business stack.
Data Platforms Databricks, Snowflake and getting data ready for models.
Deployment and MLOps Shipping models to production and keeping them healthy.
Return on Investment Whether the spending is producing anything measurable.

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