Aligning our prices and packaging with the problems we help customers solve (5 minute read)
Cloudflare has introduced Externa and Interna, two bundled solution families designed to simplify connectivity and security for external public-facing infrastructure and internal private systems. These packages offer predictable, value-based pricing, eliminate unnecessary bandwidth charges, and provide an integrated path for businesses to scale networking and security without complexity.
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LLM-powered insights into your tracing data: introducing MCP support in Grafana Cloud Traces (9 minute read)
Grafana Cloud Traces, powered by Grafana Tempo, now supports the Model Context Protocol (MCP), which allows users to leverage LLM-powered tools like Claude Code or Cursor to analyze and derive value from tracing data. By connecting Claude Code to Grafana Cloud Traces, users can ask questions about their tracing data, identify errors, and reduce latency. The new MCP integration is available in public preview in Grafana Cloud Traces and will be available in the upcoming Grafana Tempo 2.9 release.
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Announcing Crossplane 2.0 (5 minute read)
Crossplane 2.0 was released, allowing compositions to include any Kubernetes resource, not just Crossplane-managed infrastructure. The new release, seven years in the making, enables platform teams to build comprehensive developer experiences. The update also introduces namespaced resources by default, declarative operations, and ManagedResourceDefinitions for provider management.
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Why we open sourced our MCP server, and what it means for you (5 minute read)
GitHub has open-sourced its Model Context Protocol server, which allows large language model applications to connect directly to GitHub and retrieve accurate, real-time data through natural language queries. This standardized client-server system reduces AI hallucinations, supports automation, and enables flexible integrations for tasks like content generation, reporting, and conversational project management.
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AI for Grafana onboarding: Get your teams started quicker with Grafana Assistant (11 minute read)
Grafana Cloud users can now access Grafana Assistant in public preview. Grafana Assistant is an AI-powered agent designed to help new users onboard by answering questions, navigating the platform, and performing actions. It aims to streamline the adoption process by providing tailored assistance and contextual answers based on the user's observability stack. The agent can be accessed by clicking the pulsar icon in the Grafana Cloud UI.
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Robusta KRR (GitHub Repo)
Robusta KRR is a CLI tool that helps optimize Kubernetes resource allocation by gathering pod usage data from Prometheus and recommending CPU/memory requests and limits.
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FerrisKey (GitHub Repo)
FerrisKey is an open-source, cloud-native Identity & Access Management (IAM) platform built with Rust that offers a high-performance API and a Typescript/React web interface. It features modules like Trident for MFA and SeaWatch for observability, and uses a Hexagonal Architecture for modularity.
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House Price Predictor – An MLOps Learning Project Using Azure DevOps (7 minute read)
This post demonstrates how to build and deploy a house price prediction model using MLOps best practices with Azure DevOps, incorporating tools like MLflow, FastAPI, and Streamlit. The project implements a four-stage CI/CD pipeline for data processing, model training, containerization, and deployment to Azure Kubernetes Service, resulting in a fully operational prediction application.
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Creating AI agent solutions for warehouse data access and security (8 minute read)
Meta is using AI agents to streamline data access and bolster security within its data warehouse, which supports analytics, ML, and AI. The multi-agent system includes data-user agents that help users obtain access, and data-owner agents that assist in managing access, streamlining the process and minimizing security risks. These agents leverage LLMs to understand business needs and context, with rule-based risk assessments acting as guardrails.
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