Operations | Monitoring | ITSM | DevOps | Cloud

Automation revealed truth. AI extends it. Machines don’t invent knowledge. They reason from verified data. The result is operational foresight that’s traceable, explainable, and trusted.

This post covers how to get started with Home Assistant and Grafana, including setting up InfluxDB and Grafana with Docker, configuring InfluxDB to receive data from Home Assistant, and creating a Grafana dashboard to visualize your data. It provides a comprehensive guide for real-time monitoring and analysis of Home Assistant data. In this tutorial, you’ll learn how to integrate Grafana with Home Assistant using InfluxDB.

Generic AI fails in network operations because it lacks the “institutional knowledge” of your specific environment and business priorities. Learn how Kentik’s Custom Network Context encodes your unique operational reality into AI Advisor, turning a generic chatbot into a context-aware teammate.

Pragya Jazwal, Platform Engineering Lead at Paxos, compared standing up an internal developer portal to buying a gym membership during her talk at IDPCON 2025. Purchasing the software is one thing, but convincing a team of busy engineers to change their daily habits is a much bigger monster to tame. Pragya says the platform team at Paxos learned this lesson the hard way.

Security teams are increasingly turning to Amazon Security Lake to consolidate security telemetry across cloud, network, and on-prem environments. Security Lake provides a unified, OCSF-based data repository that powers analytics, threat hunting, and machine learning across AWS services and third-party tools. But to take advantage of Security Lake’s capabilities, organizations must deliver clean, normalized, OCSF-compliant data, and this is where challenges arise.