Operations | Monitoring | ITSM | DevOps | Cloud

AI Control Tower Live: Governance that moves at machine speed

One question, ninety minutes: Do you know what AI agents you have running, what they're accessing, and what's their ROI? ServiceNow product leaders open with an overview of why legacy controls can't keep pace with AI agents. Then we'll showcase customer stories from Zespri and Booking.com, end-to-end demos of AI Control Tower, and a look inside ServiceNow's own AI estate.

Seer, the Sentry MCP and CLI, or your own coding agent: where each one fits

I’ve been getting some version of this question a lot lately, mostly in our Seer preview webinars. Different audiences, same handful of questions: Worth answering all three in one place. Honestly, I needed to write this down for myself too. Things are moving fast around all of us and answers seem to get more nuanced by the week. This is an attempt to codify the difference: what each option is and when it makes sense to reach for one over the other.

Databricks' native monitoring resources

In the first part of this series, we cataloged key metrics for Databricks data engineering, analytics, and Model Serving workloads. In this post, we’ll discuss how to collect those metrics and other telemetry data from Databricks and Apache Spark, which powers Databricks under the hood. We’ll cover collecting and querying telemetry data via system tables, as well as the other primary sources of visibility into.

Monitor Databricks with Datadog

Earlier in this series, we covered key metrics for monitoring performance in Databricks and discussed Databricks’ native resources for accessing those metrics and other key observability data, such as logs and data lineage. In this post, we’ll cover using the Databricks integration to bring that data into Datadog and monitor your Databricks analytics and AI/ML workloads alongside the rest of your end-to-end data pipelines and distributed infrastructure. We’ll show you how to.

Fully Autonomous Software Delivery Demo

See how Harness helps teams move from AI-generated code to production at machine speed. In this demo, Nick Durkin walks through a fully autonomous software delivery workflow inside Harness, showing how teams can review code, enforce policy, run security and LLM scanning, test intelligently, deploy agents, and use Change Advisor to automate approvals with human oversight when needed. You’ll see how Harness helps teams.

Emergency Plumber vs Standard Plumber: Which Service Is Right For Your Urgent Repairs?

Plumbing issues can disrupt the peace and comfort of your home, often striking at the most inconvenient times. Imagine a burst pipe or a flooded bathroom in the middle of the night - situations that require immediate attention. This article will explore the differences between emergency plumbing services and standard plumbing services, helping you decide which is best suited for your urgent repair needs. We'll also consider the key factors you should weigh when choosing between these two options.