Operations | Monitoring | ITSM | DevOps | Cloud

Ship Reliable AI Faster: How to Operate AI Agents with Control and Confidence

Jun 26, 2026 By Datadog In Datadog
Replace "AI shipped on hope" with an operating model that holds up once real users depend on it. AI quality is multi-dimensional, covering accuracy, tone, safety, and faithfulness to user data, and can't be debugged from outputs alone. Without visibility into what their AI actually did in production, teams miss regressions, reverse-engineer chains by hand, and watch a single bad answer erode trust built over hundreds of right ones.
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From Legacy to AI-Ops: Securing and Scaling Systems for 20M Device Requests with Datadog

Jun 26, 2026 By Datadog In Datadog
Modernizing a legacy system serving 20 million devices without users noticing is like replacing a jet engine mid-flight. In this session, YoungJin Jung and Donggen Hong from LG U+ share their 18-month journey transforming a Telco-scale API Gateway from a rigid, proprietary solution into a high-performance, open-source architecture on AWS, and the operational challenges they solved along the way.
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Why Is Root Cause Analysis So Hard for IT Teams to Get Right?

Jun 26, 2026 By Motadata In Motadata
In this video, learn what Root Cause Analysis (RCA) is and why it's essential for preventing recurring IT incidents instead of repeatedly fixing the same symptoms. Discover how effective RCA helps IT teams identify the real source of problems, reduce downtime, and improve operational resilience. In this video, you'll learn: Contact Us sales@motadata.com Resources Follow Us on Social Media.
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lightrun

Runtime Aware PR Review: Validate Changes in Live Production

Jun 26, 2026 By Lightrun Team In Lightrun
Runtime PR review means validating a code change against live variable state, real execution paths, and downstream service behavior before the merge decision. Not after a checkout regression exposes what the diff missed. As AI coding agents ship PRs faster than any reviewer can mentally simulate execution, static analysis and CI leave a structural gap that only runtime evidence can close. This article explains what that gap looks like, why it recurs, and how to close it with runtime context code review.
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canonical

Challenges designers face in open source (and how to fix them)

Jun 26, 2026 By Kola Ojoodide In Canonical
Open source software (OSS) is a cornerstone of modern technology. According to the Linux Foundation, it powers up to 90% of software tools used today. Unlike proprietary software, OSS is developed collaboratively, meaning its code is available for anyone to use, change, and distribute. Because OSS projects have historically been driven by developers, they tend to be highly flexible and functional, but they can lack critical usability considerations.
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