Скачать или смотреть AI Based Observability Project using Honeycomb MCP server | DevOps Project 2025

Observability project | honeycomb mcp server | aiops | ai ops | devops monitoring project
In this DevOps project, we use the Honeycomb MCP Server to debug the OpenTelemetry (OTel) Demo Microservices App running on Minikube.
You’ll learn how to set up Honeycomb, deploy the OTel demo using Helm, and use the MCP server inside your IDE to ask real-time observability questions. This is a hands-on AIOps + Observability project perfect for your DevOps resume!

Try out honeycomb MCP server: https://fandf.co/49F6sqy

What is honeycomb.io?
Honeycomb is a modern observability platform designed for debugging complex distributed systems using high-cardinality data, BubbleUp, and fast querying.

What is opentelemetry?
OpenTelemetry is an open-source observability framework that provides APIs, SDKs, and tools for collecting traces, metrics, and logs from applications and sending them to backends like Honeycomb.

Timestamp
Intro 0:00
What we do in this devops project 00:58
Minikube setup 01:50
Honeycomb account and environment setup 02:20
Otel App deployment using Helm 03:52
Honeycomb MCP server setup and Demo 07:49

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Model Context Protocol (MCP) is an open standard driven by Anthropic that provides a uniform interface for large language model applications to connect and interact with external data sources and tools.

The Honeycomb MCP Server lets you query your observability data directly from your IDE using natural language.
You can ask:
• “Which services are slow?”
• “Show me errors in the last 5 minutes.”
• “Which endpoint has the most latency?”

This brings AIOps-style debugging directly to your development workflow.

Try out honeycomb MCP server: https://fandf.co/49F6sqy

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