We are excited to announce the latest enhancements to Splunk Observability Cloud as well as what is currently in preview for the Splunk Observability portfolio. These new innovations to Splunk Observability Cloud are designed to help ITOps and engineering teams troubleshoot application issues faster and gain deeper insight into critical user journeys. The below features are now generally available to customers as of August 26, 2025.
Understanding how users actually experience your application can be challenging. Logs and metrics only tell part of the story. When crashes, errors, or confusing flows occur, teams need a way to see exactly what users saw and did.
Session Replay provides a visual representation of user interactions, presented as either a video or wireframe, along with rich session metadata. You can use session replays not only to troubleshoot application issues and crashes, but also to evaluate usability and uncover UX challenges.
We’re excited to introduce Session Replay for Mobile Apps and new enhancements for browser apps, including:
Session Replay is included with a RUM Enterprise license. New customers get it automatically with the latest RUM Agent, and existing customers can enable it by updating to Mobile Agent v2.0.0 and Web Agent v0.23.1. Learn more in our documentation.
Mobile Session Replay for real user monitoring
We’ve enhanced error troubleshooting in APM by adding error stack traces and messages directly in context, making it faster to identify and resolve issues in your services. From the Errors tab of a specific service, you can click into an error type to open a side panel with example traces that include stack trace details and trace context, giving you the full picture for quicker root cause analysis. Learn more.
Stack traces for error troubleshooting in APM
Splunk Observability Cloud has always delivered best-in-class support for OpenTelemetry. With this update, we’ve added the latest OpenTelemetry semantic conventions for database systems across APM traces, Tag Spotlight, and DB query monitoring, ensuring consistency in how database calls and systems are represented. See what attributes have been updated here.
By aligning with these standards, we reduce the learning curve and make it easier for customers to correlate metrics, logs, and traces, helping teams gain deeper insights and troubleshoot faster.
Latest OTel conventions for database systems
We’ve made several exciting enhancements to Kubernetes Monitoring to make it easier to identify and understand issues:
K8s Cluster Overview Page
We’ve updated the Mobile Real User Monitoring (MRUM) iOS and Android SDKs to version 2.0. This release provides consistent, reliable monitoring across platforms, enabling teams to troubleshoot faster and maintain parity between native iOS and Android apps. With support for the latest mobile development frameworks, you can instrument modern apps with confidence and stay ahead of evolving user expectations.
New customers receive these enhancements automatically with the latest MRUM agent, while existing customers can enable them by upgrading their agent and, if needed, updating instrumentation as outlined in the documentation. Learn more in our documentation.
Get deep visibility into query performance and execution plans—correlated with app performance via Splunk APM—all in one tool for faster, smarter troubleshooting. We’re seeking existing Splunk Observability Cloud customers who are using Microsoft SQL Server databases looking to empower application teams to troubleshoot and resolve database and query performance issues; minimizing the extensive back-and-forth between application and database administrators. Interested in joining this preview? Sign up on this page.
Splunk Observability Cloud introduces multi-org management self-service experience with APIs for child org creation enabling role-based data segregation. Interested in joining this preview? Sign up on this page.
Expand observability across your hybrid network environments with deep visibility into campus and branch networks via Catalyst Center managed device and interface health, and Meraki-managed infrastructure (including switches, gateways, and access points) – all correlated with IT service metrics to identify the most business-critical network issues, pinpoint root cause and restore services quickly. Sign up on this page.
AI-driven alert correlation helps ITOps teams dynamically filter out noise, group related events, and highlight critical incidents that require immediate attention. With the ability to dynamically infer interesting fields, further configure event correlation conditions and plain-text explainability, it’s now easier and faster for teams to focus on what matters the most. This capability is for customers interested in or using Event Analytics in ITSI today. Sign up on this page.
Introducing the ability for customers to dynamically threshold individual entities without the need for manual configuration. With ML assistance, each entity time series will be individually analyzed and baselined. This preview is best for existing Splunk ITSI customers on ITSI v4.19. The previewing users will need Administrator level access with permissions to update KPI thresholds. Sign up on this page.
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