Operations | Monitoring | ITSM | DevOps | Cloud

New research reveals why Australian businesses are entering the new financial year with bigger AI budgets and the same unsolved problem. One in three Australian businesses exceeded their AI budget last year. Yet, half of them plan to increase AI spending again this year. Yet the behaviour that caused those budget overruns remains largely unaddressed.

In the world of enterprise Agile, we face a persistent paradox: How do we empower individual teams to establish their own unique processes, while ensuring leadership maintains a clear, consistent view of the entire organization’s progress? For a long time, the answer was a compromise.

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.

TL;DR Agentic observability uses AI agents to autonomously investigate incidents, identify root causes, and take action in production environments. Unlike traditional monitoring (which alerts and waits) or AIOps (which assists human analysis), agentic platforms conduct the investigation themselves. Key capabilities include autonomous incident triage, evidence-backed root cause analysis, alert noise reduction, and governed remediation.

The World Cup is already proving how quickly digital demand can concentrate across Mexico’s networks, making internet path visibility critical for teams responsible for reliable user experiences. The 2026 FIFA World Cup is already testing Mexico’s networks. Mexico’s June 11 opening match against South Africa drew 7.1 million viewers for an English-language U.S. broadcast and peaked at 9.1 million viewers. That kind of demand puts real pressure on the systems behind digital experiences.

Traces are a goldmine of information that can help you, or your AI, find slow pages and fix them. Next.js comes out of the box with support for tracing. Incoming requests, fetch() calls, middleware, and server-side rendering are all wired up and ready to send traces to any OpenTelemetry-compatible backend. The catch is, unless you configure an exporter, you’ll never see those traces.

For many EUC and digital workplace leaders, the challenge isn't a lack of technology. It's understanding why workplace issues continue to surface despite years of investment in automation, AI, and digital transformation. Support teams are still dealing with high ticket volumes. Rollouts intended to improve employee experience can create new sources of disruption, and IT often struggles to understand what employees are experiencing until problems escalate into complaints, incidents, or support requests.