Today you likely have one or more legacy APM (Application Performance Monitoring) solutions. You are moving from a monolithic architecture to microservices, and you are accelerating your journey to Cloud, and you need to deliver at speed with scale and quality to your customers. Sadly, visibility into these results are limited to each of these solutions and their interfaces.
The Splunk Dataflow template is an indispensable tool that allows Google Cloud customers to easily engineer a horizontally scalable and fault-tolerant logging export pipeline into Splunk® Enterprise and Splunk Cloud Platform™.
Want to access your Splunk data on the go? We’re making it easier than ever to unlock value from your data anywhere at any time. Regardless of your role or level of technical expertise, you can use Splunk Mobile to view dashboards and take action from your mobile device.
Many of you are familiar with Splunk’s Machine Learning Toolkit (MLTK) and the Deep Learning Toolkit (DLTK) for Splunk and have started working with either one to address security, operations, DevOps or business use cases. A frequently asked question that I often hear about MLTK is how to organize the data flow in Splunk Enterprise or Splunk Cloud.
Public sector organisations are in the middle of a massive digital transformation. Technology advances like cloud, mobile, microservices and more are transforming the public sector to help them deliver services as efficiently as commercial businesses, meet growing mission-critical demands, and keep up with market expectations and be more agile.
Here on the Splunk Dashboards team we take your feedback seriously. While we can't get to every request right away, we do add most requests to the backlog so we can roll your feedback into the product. In this blog post, we'll cover new features and improvements to Dashboard Studio in Splunk Cloud Platform 8.2.2106 based on feedback from you, our customers.
