Operations | Monitoring | ITSM | DevOps | Cloud

Atlassian Transforms Product Development with AI

Jun 2, 2026 By Atlassian In Atlassian
What used to take months now takes weeks, and it’s changing what it means to build great products. At Atlassian, product managers and designers are using Rovo and Jira Product Discovery to move faster at every stage of the development lifecycle. From running deep research across all their tools and documents, to capturing ideas, surfacing insights, and prioritizing what to build next. AI is transforming how product decisions get made.
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Why Modern Executives Are Treating Online Reputation Like Business Insurance

Why Modern Executives Are Treating Online Reputation Like Business Insurance

Jun 2, 2026 By OpsMatters In OpsMatters
Executives have always understood the importance of protecting valuable business assets. Buildings are insured against damage, data is protected through cybersecurity systems, and legal safeguards exist to minimize operational risk. Yet in today's digital economy, one of the most valuable corporate assets is no longer physical at all. It is reputation.
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speedscale

Your AI agent is fixing the wrong service

Jun 1, 2026 By Ken Ahrens In Speedscale
Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.
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datadog

How we cut Spark compute costs by 44% with agentic AI and Datadog Jobs Monitoring

Jun 1, 2026 By Charles Yu In Datadog
Spark jobs only get more expensive and harder to debug as they scale. It’s a problem we’ve run into ourselves. Our Referential Data Platform team builds and maintains the knowledge graph that maps relationships between customers’ observability entities. ServiceQueryEdge is at the center of that graph, mapping service entities to their associated metric and log queries.
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cloudzero

AI ROI is an allocation problem

Jun 1, 2026 By Scott Castle In CloudZero
AI spend is going parabolic, and the labels on the bill (OpenAI, Anthropic, Gemini) are about all a CXO gets to work with. The hard part of tying that spend to outcomes is structural. A major portion of AI spend isn’t COGS. It’s the spend on coding agents producing the software, the spend on building marketing content, the spend on custom sales tooling, the spend on Intercom agents and Sybill analysis.
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Kentik

Shifting Streams and AI Surges: What Our Data Reveals About the OTT Landscape

Jun 1, 2026 By Doug Madory In Kentik
OTT data from early 2026 shows streaming hierarchies holding steady while AI platforms reshuffled rapidly. Claude has substantially increased traffic since January, overtaking Gemini, and is on pace to challenge ChatGPT by fall. Doug Madory digs into the data in this new analysis.
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Inside the Grafana AI Team Weekly: AI Observability for the OTel demo and LLMSpec (May 12, 2026)

Jun 1, 2026 By Grafana In Grafana
This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Principal Software Engineer Sven Großmann demos how he integrated AI Observability into the OTel demo, complete with the guards feature he introduced last week, and Principal Software Engineer Yas Ekinci gives a rare glimpse of LLMSpec, the internal counterpart of the o11ybench benchmark that we use to evaluate Assistant.
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From Cleanup to Animation in One Workspace: Redefining the Editing Loop

From Cleanup to Animation in One Workspace: Redefining the Editing Loop

Jun 1, 2026 By OpsMatters In OpsMatters
For the past several months, I have been watching a pattern emerge in how people actually use AI image tools. The pattern is not about any single feature. It is about how often a task that starts as a simple cleanup request evolves into something entirely different. A user uploads a product shot to remove a stray reflection. Then they wonder what the same image would look like with a different background. Then they think about turning it into a short social video. Each step is logical, but traditional workflows treat each step as a separate job requiring a separate tool.
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