Splunk Edge Processor: Filtering Kubernetes Data to Remove Events
Check out how to set up Edge Processor to receive data from Kubernetes pods over HEC, and creating a pipeline to filter noisy events.
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Flatten the SPL Learning Curve: Introducing Splunk AI Assistant for SPL
At.conf23, we announced the preview release of Splunk AI Assistant - Splunk's first offering powered by generative AI. This app offers an intuitive and easy-to-use chat experience to help you translate a natural language prompt into SPL query that you can execute or build on, all within a familiar Splunk interface. Splunk AI Assistant also explains what a given SPL query is doing in plain English with a summary as well as a detailed breakdown of the query.
What Is Adaptive Thresholding?
Adaptive thresholding is a term used in computer science and — more specifically — across IT Service Intelligence (ITSI), for analyzing historical data to determine key performance indicators (KPIs) in your IT environment. Among other things, it’s used to govern KPI outliers in an effort to foster more meaningful and trusted performance monitoring alerts.
Splunk Edge Processor Enhancements Offer Greater Data Access and Improve Data Management
On the heels of an exciting GA in March and the April announcement of its regional expansion, we are excited to share the latest updates to Splunk Edge Processor that will make it even easier for customers to have more flexibility and control over just the data you want, nothing more nothing less.
Fastest Time-to-Value Anomaly Detection in Splunk: The Splunk App for Anomaly Detection 1.1.0
Anomaly detection in metrics or time series data is the most used machine learning use case among Splunk Security and Observability customers. Customers are looking for easy-to-use ML-powered high-fidelity anomaly detection, so that they can be alerted at the first sign of a failure point or security incident.
Mastering SVC with Splunk App for Chargeback: App Walkthrough (Part 1)
Part 1 of a series of 3 videos outlining how you can use Splunk App for Chargeback to successfully adopt Splunk’s Workload Pricing. These videos will help you get quick insights and proactively monitor key metrics using the Chargeback app’s out-of-the-box capabilities, and then tie usage to business hierarchy to enable chargeback. It will ultimately help you get back in control of how your teams use Splunk by showing you how to identify and manage wasteful workloads.
Mastering SVC with Splunk App for Chargeback: Platform Optimization (Part 3)
Part 3 of a series of 3 videos outlining how you can use Splunk App for Chargeback to successfully adopt Splunk’s Workload Pricing. These videos will help you get quick insights and proactively monitor key metrics using the Chargeback app’s out-of-the-box capabilities, and then tie usage to business hierarchy to enable chargeback. It will ultimately help you get back in control of how your teams use Splunk by showing you how to identify and manage wasteful workloads.
Mastering SVC with Splunk App for Chargeback: Mapping Business Hierarchy (Part 2)
Part 2 of a series of 3 videos outlining how you can use Splunk App for Chargeback to successfully adopt Splunk’s Workload Pricing. These videos will help you get quick insights and proactively monitor key metrics using the Chargeback app’s out-of-the-box capabilities, and then tie usage to business hierarchy to enable chargeback. It will ultimately help you get back in control of how your teams use Splunk by showing you how to identify and manage wasteful workloads.
Data Lifecycle Management: A Complete Guide
Data has become an essential asset for businesses, driving innovation, improving decision-making, and shaping the future. But how does one effectively manage this valuable resource? This is where Data Lifecycle Management (DLM) comes in — a comprehensive approach to managing data throughout its lifecycle. This blog post will guide you through the ins and outs of DLM, its key stages, benefits, and the tools and technologies that enable successful implementation. Let's dive in!
Control Plane vs. Data Plane: Use Cases, Advantages & Drawbacks
The control plane and the data plane are two key components of a network, each facilitating the flow of network packets, and each with its own set of functions and responsibilities. Understanding the differences between these two planes helps you design and optimize networks for improved performance, scalability, and security. This article will explore the control and data planes, including their functionalities, fundamental differences and use cases.