Operations | Monitoring | ITSM | DevOps | Cloud

Serverless computing has changed the way developers build and scale applications. With event-driven execution, automatic scaling, and a pay-as-you-go model, it removes the need to manage servers and helps teams move faster. This is why industries like FinTech, e-commerce, and media streaming are adopting serverless at a rapid pace. But serverless also brings new monitoring challenges. Functions are short-lived, run in different places, and are triggered by many types of events.

For every SaaS leader, engineer, and operations professional, growth is always the main goal. You’re expected to release features quickly, keep user experiences smooth, and manage everything within a limited budget. But behind the scenes, your application may have hidden issues such as slow performance, unnoticed errors, and laggy transactions that quietly eat away at revenue, reduce customer trust, and exhaust your engineering team.

MetrixInsight for Citrix VAD/DaaS surpasses Citrix Director/Monitor in many ways. Director/Monitor is useful for day-to-day visibility, but it is not a true enterprise monitoring platform. MetrixInsight adds much more, also when it comes to alerting and enterprise monitoring. It closes important gaps that can directly impact user experience when capacity or performance issues slip through unnoticed. One clear example is how operational VDA capacity is handled.

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.