Operations | Monitoring | ITSM | DevOps | Cloud

civo

AI inference vs. training: What they are and how they differ

Jun 4, 2026 By Jubril Oyetunji In Civo
AI inference and training are terms you'd run into if you have been around software engineering or even just scrolled through the news. Both are integral to delivering the AI-powered experiences we have come to expect from many of the applications we use daily. According to McKinsey, by 2030 inference will overtake training as the dominant workload in AI data centers, making up more than half of all AI compute and roughly 30-40% of total data center demand.
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logicmonitor

Internet Performance Monitoring: Understand Digital Experience from the User's Perspective

Jun 4, 2026 By LogicMonitor In LogicMonitor
Internet Performance Monitoring (IPM) provides end-to-end visibility into what happens between your infrastructure and your users, across networks and services you don’t own or control. The internet is your network now. Your apps live in the cloud, your users are everywhere, and the systems that deliver your applications and services to them use hundreds of providers, ISPs, and networks beyond your control. In practice, that means infrastructure monitoring is the foundation.
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broadcom

Speed with Confidence: Managing Delivery Risk in an AI-driven Development World

Jun 4, 2026 By Eric Nash In Broadcom
In the modern development landscape, we are seeing a shift in how work is managed. The rise of AI-assisted development and highly distributed teams means that work is moving faster than ever before. However, this increased velocity often comes with a hidden tax: complexity. We are seeing more parallel work streams, more intricate dependencies, and a constant stream of shifting priorities. In this environment, simply moving fast is not enough to guarantee success.
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broadcom

Automating Device and OS Compliance in Air-Gapped Networks with Agentic AI

Jun 4, 2026 By Mehul Patel In Broadcom
For network operations and security teams, maintaining compliance across device hardware and operating systems is a complex and time-consuming task. At any given moment, your network contains thousands of devices from dozens of different vendors. To keep this infrastructure secure, you must constantly know which devices are approaching end-of-life (EOL) milestones, and which platforms are vulnerable to active common vulnerabilities and exposures (CVEs).
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observiq

Claude Code Observability at Scale: How We Did It With Bindplane

Jun 4, 2026 By Chelsea Wright &Adnan Rahic In ObservIQ
At Bindplane, we iterate fast. One of the most important tools we've adopted across our organization is Claude Code. It helps every team here build solutions to complex problems with both speed and precision. But speed without visibility is a liability. We needed a reliable way to monitor and audit how Claude Code was being used across our team. Luckily, we build the best platform on the market for data in motion.
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megaport

Megaport Storage Marks the Next Step Toward Automated Infrastructure at Scale

Jun 4, 2026 By Megaport In Megaport
Built as a globally distributed storage platform integrated directly into the Megaport backbone and co-located with Latitude.sh compute infrastructure, Megaport Storage simplifies how organizations store, move, and access data across distributed environments with a unified infrastructure experience spanning compute, network, and storage. For years, enterprise infrastructure has moved toward abstraction. Compute became elastic. Networks became software-defined.
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motadata

What is Cloud Infrastructure? Everything You Need to Know

Jun 4, 2026 By Motadata Team In Motadata
Modern businesses need infrastructure that can scale as quickly as their demands change. Yet many organizations still struggle with infrastructure that is costly to maintain, difficult to expand, and slow to adapt to new requirements. As applications, users, and data continue to grow, managing resources efficiently becomes increasingly challenging. Cloud infrastructure provides a more flexible approach.
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Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Jun 4, 2026 By OpsMatters In OpsMatters
Artificial intelligence products are evolving at a pace that challenges traditional quality assurance and validation processes. As organizations race to release new AI-powered features, many product teams face the same question: how do they know a system is ready for real-world use? As reported by AI Journal, conversations with product leaders across different sectors reveal a growing focus on AI evaluation as a critical part of product development. Their experiences highlight the challenges of balancing innovation, risk management, customer expectations, and future regulatory requirements.
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iFrame Expands AI Infrastructure Offering With Hosted Inference Service for Open-Weight Models

iFrame Expands AI Infrastructure Offering With Hosted Inference Service for Open-Weight Models

Jun 4, 2026 By OpsMatters In OpsMatters
Organizations looking to reduce AI operating costs while maintaining performance are increasingly turning to open-weight models. This trend accelerated throughout 2024 as businesses sought alternatives to expensive proprietary systems and greater control over their AI infrastructure.
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The Overlooked Connection Between Recovery, Energy Levels, and Long-Term Performance

The Overlooked Connection Between Recovery, Energy Levels, and Long-Term Performance

Jun 4, 2026 By OpsMatters In OpsMatters
Many people believe better results come from working harder, training more, and staying productive at all times. While discipline and consistency matter, long-term performance depends on more than constant effort. Without proper recovery, the body and mind eventually slow down. Energy drops, focus weakens, sleep quality declines, and physical fatigue builds. This is why recovery should be treated as part of the process, not something optional.
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