Operations | Monitoring | ITSM | DevOps | Cloud

At this year’s.conf25, we introduced an exciting new chapter in observability at Splunk — one that is unified, AI-powered, and agentic — to ensure ITOps and engineering teams are digitally resilient in the AI era.

Every day, IT teams are flooded with alerts—thousands of messages about performance issues, service outages, or suspicious activity. With so many notifications, it’s easy to get overwhelmed, miss critical problems, or waste time chasing false alarms. Correlating related alerts into groups can help reduce the noise and make sense of everything, but setting up those correlations takes time, experience, and a lot of both system and historic knowledge.

In DX Unified Infrastructure Management (DX UIM), there are multiple elements that need to work in harmony to achieve a high level of observability. Understanding the architecture of DX UIM can help you make configuration decisions that minimize resource consumption, without sacrificing the volume and granularity of observability data collected. In addition, using static hubs is a simple and particularly powerful option for specific situations.

Enterprises are hemorrhaging their cloud budget: respondents in 49% of organizations estimate their cloud spending is wasted due to unchecked provisioning and lack of predictive cost governance. This cost inefficiency stems not just from financial blind spots, but also from operational gaps: poor visibility into network reliability and user experience. Real-time, end-to-end visibility is the foundation of cloud optimization.

Your security teams face escalating data volumes, vendor changes, and cost pressures when they migrate between SIEM platforms. Cribl simplifies these migrations by giving you flexible data routing, reducing storage costs, and accelerating time-to-value. How? Let’s look at how a global customer used Cribl Stream to migrate CrowdStrike FDR logs from Splunk to Microsoft Sentinel efficiently and cost-effectively.

Learn how to achieve and maintain HIPAA compliance on AWS with this comprehensive guide. Understand the shared responsibility model, essential architectural principles, and a practical checklist to protect PHI and avoid costly compliance violations. Discover how automation can reduce human error and streamline your security posture.

Retail is no longer defined by the checkout counter or button. What used to end with a purchase has expanded into an always-on ecosystem of engagement, media, and service. Every interaction, from browsing to post-purchase, now carries both experience value and monetization potential. This shift has made Retail Media Networks (RMNs) the fastest-growing profit center for retailers, but their scale and complexity demand more than human-led operations or rule-based automation.

We’ve seen the same story play out time and time again in numerous SaaS companies: The problem often begins when engineers — with a technical understanding of cloud costs and a deep understanding of how to build robust products — struggle to communicate the actual business impact of their efforts to company leaders.

Fall is here again! These headlines might not be as good as a maple-sugar doughnut and a pumpkin-spiced coffee, but they’re excellent news for FinOps practitioners nonetheless (and they won’t put you into a sugar coma).