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pagerduty

How AI-First Operations Unlocks Compounding Engineering Productivity

Jun 25, 2026 By PagerDuty In PagerDuty
Engineering teams have plenty of ideas, but they’re often short on time to act on them. As software systems grow more complex, an increasing share of engineering capacity is consumed by non-building activities: investigating alerts, coordinating fixes, and managing operational incidents. Every hour spent diagnosing failures is an hour not spent shipping features or experimenting with new product ideas. Over time, that lost capacity compounds.
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Overview of AI Evaluation (The Context Window #05)

Jun 25, 2026 By Grafana In Grafana
Can you actually trust an AI agent? In this pre-recorded episode of The Context Window, Nicole van der Hoeven sits down with Yas Ekinci, an engineer on the Grafana AI team, to talk about evals — how Grafana measures the quality and reliability of the AI it ships. They get into the difference between online and offline evals, why reviewing AI-generated code has become the real bottleneck, the "final answer problem" of plausible-but-wrong outputs, and o11y-bench, Grafana's open benchmark for observability agents. Along the way.
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Help Desk or Service Desk: Which Does Your Business Need?

Jun 25, 2026 By Motadata In Motadata
In this video, learn the key differences between a Help Desk and a Service Desk and why choosing the right approach can significantly impact the growth and efficiency of your IT support operations. Discover when a help desk is enough, when a service desk becomes essential, and how modern IT teams can scale support effectively. In this video, you'll learn: Contact Us sales@motadata.com Resources.
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last9

High Cardinality in ClickHouse at Scale: What Actually Breaks

Jun 25, 2026 By Prathamesh Sonpatki In Last9
ClickHouse swallows high-cardinality telemetry at ingest, then breaks at query time weeks later. Here is what fails, and how we keep it fast in production. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
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broadcom

Chart Your Team's Analytics Journey with Customizable Dashboards in DX NetOps

Jun 25, 2026 By Helen Burke In Broadcom
DX NetOps now features customizable dashboards that give all users some important new features and capabilities. In addition, with the solution’s new integration capabilities, DX NetOps enables users of current analytics and reporting tools to add standardized dashboards over time.
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broadcom

What's New in Network Observability for Summer 2026

Jun 25, 2026 By Sean Armstrong In Broadcom
As a network engineer, you likely face two persistent operational challenges every day: When you have to manually track device lifecycles on spreadsheets or spend your scheduled maintenance periods troubleshooting software upgrades, you lose the time you need to proactively ensure network performance. Over the past six months, we have continued to enhance Network Observability by Broadcom. These latest enhancements directly address the operational challenges outlined above.
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civo

The debugging crisis nobody's talking about: AI, abstraction, and the skills gap

Jun 25, 2026 By John Dietz In Civo
Here's a scenario that's playing out in engineering teams across the industry right now. A developer uses AI to rapidly prototype a microservice. The code works. They deploy it to production. Six months later, something breaks. The system is under load, a database connection pools, and the service starts failing in subtle ways. The engineer pulls up the code, but here's the problem, they didn't write it. An AI assistant did. They don't understand the flow deeply. They don't know where to look first.
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cortex

Cortex catalog data now flows into Rootly

Jun 25, 2026 By Skyler Wuolle In Cortex
Incident response is a context problem. The first minutes of any incident are spent reconstructing what the affected service is, what it depends on, and who owns it. That reconstruction happens during the worst possible window. The Cortex catalog already holds this data: services, teams, domains, and the relationships between them, maintained by the engineers who run those systems.
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