Operations | Monitoring | ITSM | DevOps | Cloud

New Devart Python Connectors Add Broader Compatibility and Stronger Security

We are thrilled to announce a major update to our Python Connectors line. The release adds support for Python 3.14, PostgreSQL 18, MySQL 9, and MariaDB 12, introduces modern authentication and security options, and delivers notable performance gains across several connectors.

AI Agent for Proactive Problem Management: A Shift Toward a Ticketless Future

As organizations rely on increasingly complex IT infrastructures, incident management often turns into a constant cycle of alerts, escalations, and fixes. While reactive responses may keep operations running, they rarely address the deeper systemic issues that slowly erode performance. Recurring incidents, silent failures, and hidden patterns are usually symptoms of unresolved root causes that traditional approaches struggle to uncover.

Ready for Windows 11? #sysadmin #win10

Windows 10 support already ended, but you are still running unsupported devices? AlloyScan shows which devices in your fleet are ready for Windows 11, and which need attention — missing TPM 2.0, incompatible CPU, or other requirements — all in seconds! Perfect for sysadmins who need clear, actionable insights to plan upgrades or replacements efficiently and avoid guesswork. Windows 11 migration readiness check and other great features arrived in AlloyScan this October.

Intent-Driven Assertions are Redefining How We Test Software

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.

Embracing failure and chaos to improve system reliability and SRE team performance

In this interview with Alex Hidalgo, Field CTO at Nobl9 and author of Implementing Service Level Objectives (O’Reilly Media), we explore how traditional metrics like MTTR and MTTx can give a false sense of reliability. Alex shares how SRE teams can embrace failure, build psychological safety, and design systems that reflect the human factor behind uptime, outages, and real-world reliability.

Gobbling Up Insights: Graylog 7.0 Serves Up a Feast

A feast of new features. A cornucopia of new capabilities. A banquet of breakthroughs (and the T-day puns are just getting started). Graylog 7.0 brings a full plate of advancements that help security teams cut through noise, control cloud costs, and respond with confidence. We’re serving practical improvements across dashboards, automation, and AI support so analysts can focus on action instead of manual effort.

Building dbRosetta Using AI: Part 1 of Many

Like many of you, over the last couple of years, I’ve been using AI, or, well, let’s just name it appropriately, Large Language Models (LLM), as a part of my job. I’ve also used it in my hobby. With it, I’ve generated snippets of code, tested data conversions, even built a small database for a presentation. However, to date, I haven’t tried doing everything through the LLM. Now, I’m going to.

Monitor OCI spend, AI in DDSQL Editor, OTLP Metrics API, and more | This Month in Datadog

See how you can gain insights into cloud costs by tracking OCI spend and easily comparing instance types in October’s episode of This Month in Datadog. Join us for a spotlight of Cloud Cost Management’s support for Oracle Cloud Infrastructure, and the product’s new feature, Instance Explorer, which enables you to visualize and easily compare the cost and performance of instances across AWS, Azure, and Google Cloud.