Operations | Monitoring | ITSM | DevOps | Cloud

See how you can ensure trust across the data life cycle in February’s episode of This Month in Datadog. Join us for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. Plus, we cover: Protecting agentic AI applications from real-time threats with Datadog AI Guard Staying up to date and reducing steps to collaborate with five new Incident Management releases Releasing software with confidence using Datadog Feature Flags.

SREs are famously skeptical of AI — so how do you convince them to trust agents in production? In this episode of Grafana’s Big Tent, Tom Wilkie talks with Spiros Xanthos (Resolve AI), Manoj Acharya (Grafana Labs), and Cyril Tovena (Grafana Assistant team) about agent-first observability. They unpack knowledge graphs, LLM reasoning, autonomous debugging, pricing models, and the “Claude Code moment” for observability. Is autonomous production ops closer than we think?

SolarWinds Evangelist Chrystal Taylor introduces the new routing insights feature in Observability Self-Hosted 2026.1. This first phase enhancement enriches routing table information with detailed context, including forwarding interface names, VRF data, next hop IPs, and timestamps. The update unifies BGP, OSPF, and EIGRP neighbors in a single dashboard, providing visibility into peer identity, flap counts, health status, and admin states.

In this video, SolarWinds Evangelist Chrystal Taylor introduces server configuration comparisons, a new feature in Observability Self-Hosted 2026.1 and Server Configuration Monitor 2026.1. The key highlight is the ability to compare server configurations side by side, enabling users to identify differences in configuration files between nodes or against a defined ideal state. This new functionality aims to help users monitor configuration drift.