Michael Santos
ENPT

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Groundcover eyes visibility gap in agentic AI monitoring by targeting multi-step workflows

This matters because cloud-native tooling and platform engineering are reshaping how data teams build, deploy, and operate production data systems.

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From Manual Orchestration to Agentic Pipelines: Implementing MCP in Production Data Systems

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Groundcover eyes visibility gap in agentic AI monitoring by targeting multi-step workflows
Data Engineering

Groundcover eyes visibility gap in agentic AI monitoring by targeting multi-step workflows

This matters because cloud-native tooling and platform engineering are reshaping how data teams build, deploy, and operate production data systems.

TN • Apr 22, 2026

Data PlatformAIModern Data Stack

Groundcover eyes visibility gap in agentic AI monitoring by targeting multi-step workflows

Cloud monitoring specialist Groundcover announced an expansion of its AI Observability service this Wednesday. The move sees the company add native support for agentic The post Groundcover eyes visibility gap in agent...

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Strategic insightAlready connected

From Static Orchestration to Agentic Pipelines: Productionizing Model Context Protocol for Data Infrastructure

How MCP transforms data pipelines from scheduled scripts into autonomous systems that detect schema drift, enforce contracts, and heal failures without human intervention.

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Implementation proofShared theme

Agentic Data Pipeline With MCP

A next-generation data pipeline where Claude-powered agents connected via Model Context Protocol autonomously detect schema changes, fix data quality issues, reroute failed load...

AI
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Implementation proofShared theme

Data Observability Platform

An open-source observability platform that monitors data freshness, volume anomalies, schema changes, and pipeline health across the entire data stack, with a Streamlit dashboar...

Data Platform
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From Manual Orchestration to Agentic Pipelines: Implementing MCP in Production Data Systems

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