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Splunk

Data Lakes Explored: Benefits, Challenges, and Best Practices

A data lake is a data repository for terabytes or petabytes of raw data stored in its original format. The data can originate from a variety of data sources: IoT and sensor data, a simple file, or a binary large object (BLOB) such as a video, audio, image or multimedia file. Any manipulation of the data — to put it into a data pipeline and make it usable — is done when the data is extracted from the data lake.

Pipeline Efficiency: Best Practices for Optimizing your Data Pipeline

Data pipelines are the foundational support to any business analytics project. They are growing more critical than ever as companies are leaning on their insights to drive their business: 54% of enterprises said it was vital to their future business strategies. Data pipelines play a crucial role as they perform calculations and transformations used by analysts, data scientists, and business intelligence teams.

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.