Platform Blogs

We’re excited to share that the Deep Learning Toolkit App for Splunk (DLTK) is now available in version 3.6 for Splunk Enterprise and Splunk Cloud. Read all about the updates here.

We’re excited to share that the Splunk Federated Search is now generally available starting in Splunk Cloud Platform 8.1.2103 and Splunk Enterprise 8.2! Get an introduction to Federated Search and see how you can enjoy a unified search experience across your data ecosystem.

When your datasets are far from simple, your anomaly detection techniques must evolve to scale with the growing complexity. In this blog, you will learn various ways to take your anomaly detection to the next level no matter the complexity of your data.

Learn more about Splunk Dashboard Studio, a new and intuitive dashboard-building experience, with native capabilities for customizing layout or colors, and adding images or text boxes.

Python 2 will be removed from all new Splunk Cloud and Splunk Enterprise releases starting Fall 2021. Learn how to confirm full Python 3 app readiness for confidence in migrations.

Announcing the migration to jQuery v3.5 from prior versions in Splunk Enterprise, Splunk Cloud and all apps built on the platform. You need to update this to version 3.5+ by August 31, 2021.

Learn about the new capabilities in Splunk Enterprise 8.2! We have focused our development offers across a number of themes: insights, admin productivity, data infrastructure, and performance.

Amazon Web Services (AWS) recently announced the launch of CloudWatch Metric Streams. Cloudwatch Streams can stream metrics from a number of different AWS resources using Amazon Kinesis Data Firehose to target destinations. What this means for current Splunk customers is they now have the option of either using the Splunk add-on of AWS to poll metrics or to make use of this new service and let Amazon Kinesis Data Firehose push metrics to a Splunk HEC endpoint, and reduce their latency by anywhere between 5 to 10 minutes.

In the first part of this 2-part-series we talked about recent additions to version 3.5 of the Deep Learning Toolkit for Splunk (DLTK). Here in part 2 we want to explain a few new algorithmic approaches available for time series analysis. These can be especially interesting for anomaly detection and time series prediction.