ITOps Times

Technology news and analysis for IT operations professionals. Stay up to date on the latest news surrounding AIOps, cloud, containers, DevOps, ITSM, and more!

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Open source solutions provider Red Hat has announced significant advancements to its Red Hat AI portfolio with the launch of Red Hat AI 3.4. https://t.co/R4Yc5iGS5O

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@Xurrent, the AI-powered service and operations management platform for corporate IT teams and enterprise MSPs, today launched autonomous AI Agents and an open Model Context Protocol (MCP) server. https://t.co/P9ZHi1YMxe

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Complex systems have always been vulnerable to cascading failure. But in today’s environment, when AI services go down, the ripple effects can spread even faster. @OpenText https://t.co/z9nSpk6NNg

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As open source consumption and publishing move from developer scale to machine scale, registries are facing a sharp rise in AI-driven demand, bot traffic, automated publishing, security reporting volume, and registry abuse. @Sonatype https://t.co/QK7Hrr4DH7

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Most systems still depend on humans to connect the dots, decide what matters, and take action across disconnected tools. As environments grow more complex, that model breaks down. Autonomous IT is the answer.
https://t.co/ljkVSQogXO

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All kinds of innovation happening at Google Cloud Next 26!
https://t.co/dSAlNJ2x16

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Many startups are waiting up to 6 months to get an H100 node. While that’s accurate; it doesn’t tell the entire story. The other half of the story is that teams utilizing LLM inference are wasting up to 80% of the GPU compute resources they’ve purchased.
https://t.co/5rO74GCODd

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Organizations running Citrix virtual desktops and DaaS are at a critical inflection point. The conversation is shifting from “How do we expand?” to “How do we use what we already have better?” @Ferroque Systems
https://t.co/DJkgxc6WbK

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Telemetry pipelines that capture, optimize, and deliver this data in an actionable form have become foundational to modern software ecosystems. Hence, the @Dynatrace acquisition of @Bindplane.
https://t.co/zks5PXyczc

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In today’s digitally driven healthcare environment, network performance is clinical performance, and the ability to rapidly assure the integrity of every digital service has become a true clinical imperative. @Broadcom

https://t.co/FX85jAHzR5

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Will Kubernetes Become the Standard for AI Workloads? The answer, of course, is....
it depends. @CNCF @Intellyx

https://t.co/7O9Elij2Em

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Permiso's threat research team was among the earliest to publicly identify and document malicious skills in the wild. That research led directly to SandyClaw.
@Permiso
https://t.co/bhRc67OWyW

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The question is no longer whether to deploy agents, but whether organizations are prepared to operate them responsibly and securely. @kyndryl

https://t.co/FUFVyYGBvY

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There’s a problem with modern observability that almost nobody talks about openly: your monitoring stack might be hurting the systems it’s supposed to protect. @groundcover

https://t.co/9TzgcEw81i

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Bring Your Own Cloud-driven AI-native observability, from #@groundcover
https://t.co/ennaxXHVvy

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RSA Conference Roundup: — @DeepTempo open-source AI SOC; @ArmorCode study, @Black Duck Signal, @Cribl background detection

https://t.co/omvuwN0CnS

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Kubernetes has become the standard for container orchestration. It’s also notoriously challenging to manage when incidents arise. @PagerDuty
https://t.co/NTnDF3owPH

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While everyone is looking at the horizon, staring at the shiny promise of autonomous operations, they are tripping over a loose floorboard right at their feet. That floorboard is network configuration management. @Broadcom

https://t.co/pQjzfws7NI

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https://t.co/eWtTdGodEW

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OpenShift 4.21’s new capabilities revolve around enabling companies to run AI training jobs, containerized microservices, and virtualized applications on the same infrastructure and with the same operational model. https://t.co/OgRPnhMhrG