ITOps Times

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. buff.ly/omL6TBh

@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. buff.ly/4yibS50

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 buff.ly/ibRzMKh

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 buff.ly/fIRt3tH

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. buff.ly/fdsRDdS

All kinds of innovation happening at Google Cloud Next 26! buff.ly/3iKvpzY

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. buff.ly/Ycd5ygH

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 buff.ly/3Il2QLt

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. buff.ly/KAZxOKN

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 buff.ly/m8WsbLR

Will Kubernetes Become the Standard for AI Workloads? The answer, of course, is.... it depends. @CNCF @Intellyx buff.ly/JGyfUM3

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 buff.ly/jrmP3Bj

The question is no longer whether to deploy agents, but whether organizations are prepared to operate them responsibly and securely. @kyndryl buff.ly/lF1n6e7

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 buff.ly/gbCkLx7

Bring Your Own Cloud-driven AI-native observability, from #@groundcover buff.ly/qW5MoOf

RSA Conference Roundup: — @DeepTempo open-source AI SOC; @ArmorCode study, @Black Duck Signal, @Cribl background detection buff.ly/0EXTXSi

Kubernetes has become the standard for container orchestration. It’s also notoriously challenging to manage when incidents arise. @PagerDuty buff.ly/TZwnVpS

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 buff.ly/huYJJbD

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. buff.ly/LvfBxjf