Operations | Monitoring | ITSM | DevOps | Cloud

cortex

How to land on the right side of the AI divide

Jun 9, 2026 By Cortex In Cortex
AI changed how code gets written before it changed how code gets operated. Generation accelerated; the downstream controls that turn that output into reliable, secure software at a reasonable cost did not keep pace. The result is elevated risk, distributed unevenly across engineering organizations. A recent survey explains why the distribution is so uneven.
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cloudzero

AI Economics Pulse: Your AI line item is winning, but is it working?

Jun 9, 2026 By Keith MacKenzie In CloudZero
This edition of the Pulse is shifting lanes. We’re calling it the AI Economics Pulse now, because the question on every finance leader’s mind is whether AI spend and the returns on it can be made to pair at all. That question came to a head over the last few weeks. The bills came due, and they came due in public. Uber burned through its entire 2026 AI budget in four months and capped employee spending on Claude Code and Cursor at $1,500 a month.
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cloudzero

Shipped: The AI spend on your team's laptops is the part you can't see.

Jun 9, 2026 By Scott Castle In CloudZero
Your engineers run Claude Code. Your designers are in Cowork. Half the company has Claude open in a browser tab, and a few are on Cursor. It’s on their laptops, each person authenticated a different way, and none of it touches your gateway. The only record you get is one lump-sum bill at the end of the month. Now you can capture it where it happens – on the laptop.
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Where AI automation actually earns its place in IT operations

Where AI automation actually earns its place in IT operations

Jun 9, 2026 By OpsMatters In OpsMatters
The promise attached to AI in operations has outrun the evidence. The pitch, repeated across keynote stages and vendor decks, is that AI will run your operations: detect, decide, remediate, and close the loop while the on-call engineer sleeps. It is a tidy story. It is also not the one that holds up at three in the morning when a cascading failure is halfway through your fleet.
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appsignal

Top 10 Prompts for Your Monitoring Tool

Jun 8, 2026 By Dejan Lukić In AppSignal
You open a monitoring tool, and the data is all there: errors, traces, anomalies, incidents, and countless intricacies. If you want to get the right slice of that data, you need to know exactly which dashboard to open and what filters to apply. But when the poor UI gets in the way, this can take longer than it should. Luckily, this is not the case with AppSignal. MCP (Model Context Protocol) changes the interface entirely.
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sentry

Works on my machine: how we use AI to reproduce reported bugs

Jun 8, 2026 By Neel Shah In Sentry
Sentry’s SDK teams maintain and support SDKs for a vast ecosystem of languages and frameworks. See our release registry for a source of truth. We’re currently at 159 published packages across the entire ecosystem. If you use it, we probably support it. All of these SDKs are open source and have their own GitHub repositories that we maintain on a daily basis. And like any other open source project, we get tons of bug reports and issues on these.
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datadog

Search and act across Datadog to resolve issues faster with Bits Chat

Jun 8, 2026 By Nicole Parisi In Datadog
Finding the right information across dashboards, monitors, and telemetry sources takes time, even for experienced engineers. When something breaks, it often means figuring out where to start, rebuilding queries, and jumping between metrics, logs, and traces before you can take action. The challenge isn’t a lack of data but the effort required to surface the right information at the right moment.
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AI: Future of IT Service Management Automation (Italian)

Jun 8, 2026 By Ivanti In Ivanti
How does your IT team cope with increasing IT tickets, higher user expectations and an increasingly complex landscape? With limited resources at your fingertips, powering smarter work is more important than ever. Once future ambitions, AI and automation are critical today to deliver efficient, resilient IT services. In fact, 65% of IT pros predict that AI and automation will improve overall IT service quality.
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AI Automation in Telegram: How Neuro Commenting Changes Community Engagement

AI Automation in Telegram: How Neuro Commenting Changes Community Engagement

Jun 8, 2026 By OpsMatters In OpsMatters
In recent years, artificial intelligence has significantly transformed digital communication and social media management. One of the fastest-growing platforms benefiting from this evolution is Telegram. As communities scale and content volume increases, manual engagement becomes inefficient. This is where AI-driven solutions such as neuro commenting and automation tools play a crucial role in maintaining active, responsive, and engaging communities.
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