Operations | Monitoring | ITSM | DevOps | Cloud

In 2025, microservices are everywhere and Kubernetes is the de facto standard for operating cloud native applications. But not all apps are built in microservices architectures. For most enterprises, hybrid environments are the reality, with their business run on a mix of three-tier and cloud native applications.

As organizations modernize, most applications don’t fit neatly into one category—they span both traditional three-tier architectures and cloud-native microservices. To monitor these hybrid environments effectively, teams need APM tools that can seamlessly connect the two worlds.

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.

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.

If you are leading technology innovation in your organization, you know the relentless surge of machine data is rewriting the rules of the digital enterprise. The upside? Incredible opportunities for AI-driven transformation. The challenge? Unprecedented complexity. Today’s leaders are under enormous pressure to unify, analyze, and act on a deluge of data streams across multiple environments.

Managing data ingestion at scale is no easy task. As organizations onboard hundreds or even thousands of data sources into the Splunk platform for security, observability, and other business-critical use cases, it becomes increasingly complex to ensure data is consistently available and onboarded efficiently.

As organizations rely more on complex IT systems and cloud-based services, keeping everything running smoothly — and reliably — has become a top priority. That’s where IT service performance monitoring comes in, giving teams the visibility they need to make sure systems stay healthy and responsive. By tracking a range of technical and user-focused metrics, businesses can quickly identify and address issues before they impact operations or end users.

We are proud to announce that Splunk has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the third year in a row. In our opinion, our recognition in the Observability category comes on the heels of Splunk being recognized for a tenth consecutive time as a Leader in the 2024 Gartner Magic Quadrant for Security Information and Event Management (SIEM). Splunk was the only vendor named a Leader in both SIEM and Observability for the Gartner Magic Quadrant three times.

Key takeaways In the fast-moving world of CI/CD pipelines, microservice architectures, and container orchestration, software changes rapidly. What exists in a codebase today might be gone next week. At this scale and speed, it’s impossible for development teams to manually track every line of code and every new piece of functionality.