Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring Sprawl: Why IT Teams Still Can't Get Actionable Insight Fast

IT teams collect extensive monitoring data but struggle to turn it into fast, confident decisions during incidents. Most IT leaders aren’t worried about whether their environments are monitored—they’re worried about whether their teams can make sense of what they’re seeing quickly enough to actually resolve issues. When something breaks, the problem usually isn’t finding data. Dashboards show activity, alerts indicate changes, and logs capture events across the entire stack.

Building Trust in the Machine: A Guide to Architecting Agentic AI for SRE

The promise of Artificial Intelligence in Site Reliability Engineering (SRE) is seductive: an autonomous system that never sleeps, instantly detects anomalies, and fixes broken infrastructure while humans focus on high-value work. However, the gap between a demo-ready chatbot and a production-grade Autonomous AI SRE is vast. In complex, noisy environments like Kubernetes, a “naive” implementation of Large Language Models (LLMs) is not just ineffective, it can be dangerous.

AI Tags: Why Cloud Tagging Breaks Down For AI Workloads (And What To Use Instead)

Tags have long been the backbone of cloud cost visibility and governance. They help teams understand who owns what, where spend comes from, and how infrastructure maps back to the value the business delivers. However, AI workloads have altered that model, and exposed the limitations of traditional AI tags in the process. In fact, many of the most expensive AI operations don’t run on taggable cloud resources at all.

AI meets SQL Server 2025 on Ubuntu

Since 2016, when Microsoft announced its intention to make Linux a first class citizen in its ecosystem, Canonical and Microsoft have been working hand in hand to make that vision a reality. Ubuntu was among the first distributions to support the preview of SQL Server on Linux. Ubuntu was the first distribution offered in the launch of Windows Subsystem for Linux (WSL), and it remains the default to this day. Ubuntu was also the first Linux distribution to support Azure’s Confidential VMs.

Observing agentic AI workflows with Grafana Cloud, OpenTelemetry, and the OpenAI Agents SDK

As agentic AI applications are used more broadly in production, they introduce new operational models, combining multi-step reasoning, tool execution, and autonomous decision-making into a single workflow. SRE teams need visibility into how these agents behave, where they fail, and how they perform over time.

Qwiet AI Is Now Harness SAST and SCA | Harness Blog

Modern application security is struggling to keep up with AI-driven development and cloud-native scale, especially when security feels bolted onto CI/CD instead of built in. Harness SAST and SCA bring AI-powered application security testing natively into the Harness platform, reducing noise and alert fatigue. By identifying only vulnerabilities that are actually reachable in production code, teams get findings they can trust and act on faster.

The economics of a sovereign cloud

The BCG recently released a report on the cost of cloud. The findings? Hyperscalers are charging up to 30% more for their sovereign-cloud offerings. It supports an earlier notion that if you want control, compliance, and jurisdictional certainty, you have to pay a premium. At Civo, we think that is broken. As data volumes grow and AI workloads become central to business strategy, the economics of cloud computing are being re-examined.

Canceled Games and Layoffs Persist Despite Financial Support

Ubisoft recently experienced a business decline despite its stabilization efforts during 2025, which included a major investment from Tencent. Tencent brought in significant funding and operational support, but it failed to avert the company's financial and operational crisis. A crisis that worsened with time. In March 2025, Ubisoft announced the establishment of a new subsidiary to operate its three most valuable franchises when Tencent purchased a €1.16 billion minority stake (~25 %) in that subsidiary.

How to Enhance Service Management for Small Firms

Small firms juggle many tasks at once. They serve clients while managing budgets and staff. Most owners spend their days putting out fires instead of building better systems. Poor service management drains resources fast. Client requests get lost in email threads. Team members use different tools for the same tasks. Bills slip through the cracks. These problems cost money that small businesses can't afford to lose.