Operations | Monitoring | ITSM | DevOps | Cloud

Zebra AI for the Frontline: Core Components | Zebra

Jun 22, 2026 By Zebra Technologies In Zebra Technologies
Zebra Technologies is at the forefront of edge artificial intelligence, built specifically to empower those on the frontline. In this video, we break down the three core components of Zebra's Frontline AI solution and explore how they accelerate development, streamline specific workflows, and assist workers in real time. We examine the three pillars of our AI architecture.
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7 Ways Digital Protection Services Are Safeguarding High-Risk Individuals in 2026

7 Ways Digital Protection Services Are Safeguarding High-Risk Individuals in 2026

Jun 22, 2026 By OpsMatters In OpsMatters
In today's hyper-connected world, personal security no longer begins and ends with physical protection. For executives, entrepreneurs, public figures, journalists, activists, and other high-risk individuals, digital threats have become just as significant as real-world risks. A single exposed piece of personal information can open the door to identity theft, financial fraud, online harassment, reputational damage, or even physical safety concerns.
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logz.io

Which AI-Powered Observability Tools Accelerate Root Cause Analysis (RCA)?

Jun 21, 2026 By Libi Michelson In logz.io
TL;DR Choosing the right AI-powered observability platform isn’t about who has the most AI features. It’s about which platform helps your team identify root causes faster and spend less time investigating incidents. Here’s the short version: Logz.io + OrionIQ: Autonomous AI agents investigate incidents, perform root cause analysis, and surface next steps. Open standards, Kubernetes-ready, and deploys in as little as a week.
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civo

How to build sustainable AI infrastructure on GPU cloud

Jun 20, 2026 By Civo Team In Civo
AI's environmental cost is real, and it's growing. Training a large language model can consume the electricity of hundreds of households for weeks. Inference at production scale runs continuously, with GPU clusters drawing power around the clock. The data centers that house all of this are some of the most concentrated energy consumers in the modern technology stack.
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Stop Managing Endpoints: The Power of AI Automation

Jun 19, 2026 By Ivanti In Ivanti
In just two minutes, learn how our AI-powered platform unifies control across Windows, Mac, Linux, Mobile, and even VR/XR headsets. Discover how to eliminate tedious tasks with automated patching, zero-touch onboarding, and self-healing capabilities—allowing your team to focus on strategy instead of firefighting. What you’ll see in this video.
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eg innovations

How AI-Powered Monitoring is Transforming IT Operations

Jun 19, 2026 By Venkat Narayanan In eG Innovations
Every monitoring vendor on the market now has an AI story. AIOps has moved from category buzzword to standard line-item in IT operations strategy, and the reasoning is sound: as infrastructure spreads across cloud, hybrid, microservices, and virtualized platforms, the volume and velocity of operational data has outrun what human teams can process. AI-powered monitoring is the obvious answer.
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Working as a remote engineer at Cribl | Building the AI Platform for Telemetry

Jun 18, 2026 By Cribl In Cribl
Learn what it’s like to work as an engineer at Cribl, a remote-first company building the AI platform for IT and security data. In this recruiting video, Cribl’s engineering and support leaders share how fully distributed teams collaborate, solve hard data problems, and grow their careers while working from around the world. You’ll hear from managers and leaders in site reliability engineering, security incubation, and technical support about.
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Chunk sidecars: Inner Loop Validation for AI Coding Agents

Jun 18, 2026 By CircleCI In CircleCI
Your agent writes code fast, but you shouldn't have to see it until it's right. Chunk sidecars are lightweight microVMs that work inside the agent loop, requiring agents to pass pre-push validation in a CI-like environment before they declare they're "done." That means no massive CI pile-ups, no long round-trips that risk resetting your agent's context. You're sending code you already know is good.
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