Splunk Platform introduces new data management capabilities that enable faster and more cost-effective root cause analysis and incident resolution of customer-facing issues.
We're excited to share that Data Manager now supports the onboarding of Microsoft Azure data sources, allowing you to use the same Data Manager application in your Splunk Cloud Platform to onboard critical Azure data sources to generate actionable insights in Splunk.
Get a closer look at the expanded interactivity capabilities and visualizations for Dashboard Studio, including more drill-down and interactivity options, more maps, more configuration options.
We are excited to share the latest advances around the Deep Learning Toolkit App for Splunk (DLTK). These include custom certificates, integration with Splunk Observability and a container operations dashboard, just to name a few.
Identifying anomalies in data is the top use for machine learning in Splunk. Here we will take you through a simple method for how you can detect anomalies on your data using SPL.
We’ve taken another big step in our efforts to bring Splunk Enterprise for self-managed customers into a Cloud-native deployment platform with Kubernetes.
We're excited to announce that Splunk Cloud Platform is moving to next generation AWS Graviton2 processor hardware to help enable enhanced performance for customers who choose AWS as a provider.
Dive into the concepts and resources to help get familiar with using the Splunk Machine Learning Toolkit, and get a look at some of the new content we’re working on to help you get more insight from your data using machine learning.