Splunk Lantern is Splunk’s customer success center that provides advice from Splunk experts on valuable data insights, key use cases, and tips on managing Splunk more efficiently.
We also host Getting Started Guides for a range of Splunk products, a library of Product Tips, and Data Descriptor articles that help you see everything that’s possible with data sources and data types in Splunk.
This month we’re highlighting our new Getting Started Guide that tells you everything you need to know about using Splunk Edge Processor. As usual, we’re also sharing the rest of the new articles we’ve published this month. Read on to see what’s new.
Getting Started with Splunk Edge Processor
Lantern provides comprehensive Getting Started Guides for all of Splunk’s products across the platform, plus premium Security and Observability products. Our Getting Started Guides are great for onboarding new users, but even if you’re more experienced they can be a great help to ensure you haven’t missed any essential steps or key resources that can help you use our products smoothly and efficiently.
This month, we’ve published Getting Started with Splunk Edge Processor. Edge Processor is designed to help you achieve greater efficiencies in data transformation close to the data source and improved visibility into data in motion. If you’re curious about how Edge Processor can help you, our guide can give you a great intro into what’s needed. Check it out to see how easy it is to get started.
Machine Learning Toolkit Articles
The Splunk Machine Learning Toolkit (MLTK) provides hundreds of thousands of Splunk customers with SPL commands, custom visualizations, assistants, and examples to explore a variety of machine learning concepts.
This month, we’ve published two new articles to help MLTK users get even more out of this powerful app.
Preparing data for use with the Machine Learning Toolkit (MLTK) walks you through how to use basic, intermediate, or advanced patterns with the MLTK to help improve your existing or future workflows.
Predicting failed trade settlements is a use case for financial services customers, showing how to use the MLTK to predict trade settlement failures and ensure compliance to the T+1 compliance directive.
Looking for more MLTK articles on Lantern? Click through to see all of our articles.
Everything Else New This Month
Here are the rest of the new articles that we’ve published this month:
- Splunk 9.1.2 FAQ
- Enabling an audit trail from Active Directory
- Reducing Smartstore cache churn with smart Workload Management rules
- Benchmarking website performance against competitors
- Using comparative testing to drive app performance
- Using metrics to create KPIs in Splunk ITSI
- Predicting failed trade settlements
- Incorporating performance testing into the software development lifecycle
We hope you’ve found this update helpful. Thanks for reading!
- Kaye Chapman, Senior Lantern Content Specialist for Splunk Lantern
