Operations | Monitoring | ITSM | DevOps | Cloud

Embarking on the journey of understanding your cloud bill can initially seem daunting, but grasping a few essential concepts and familiarizing yourself with common terminology can significantly demystify the process. At its core, cloud billing is the method by which cloud service providers charge for the resources and services that your business consumes.

We’re happy to announce that with the upcoming release of Splunk App for Data Science and Deep Learning (DSDL) 5.1.1 we’re significantly overhauling the build process for containers in DSDL. More and more customers are adopting DSDL for some of their most complex and advanced workloads. In this newest release, we’re making the process of deploying, building and maintaining containers for DSDL more modular, more secure, more robust, and more scalable as well as adding some new features!

Any existing InfluxDB user will notice that InfluxDB underwent a transformation with the release of InfluxDB 3.0. InfluxDB v3 provides 45x better write throughput and has 5-25x faster queries compared to previous versions of InfluxDB.

A data platform is a comprehensive end-to-end solution for all your data. A true data platform can ingest, process, analyze and present data generated by all the systems and infrastructures within your organization. In this topic, there’s a lot of things to understand and consider. So, let’s take a deep look at data platforms, including the definition and related terms, the benefits and use cases, and how to start building your data strategy.

Businesses today rely on analytics and insights derived from different data types for gaining competitive advantages. These data often come from different sources and in different formats. Without a unified solution, aggregating those data and performing analytics tasks is challenging. ELT has been invented to solve the complexities associated with processing data from multiple sources while retaining the raw data as it is.

Simply put, customer analytics (or customer data analytics) is the process of using information about customer preferences and behavior to improve sales, marketing and product development. You can think of customer analytics as the type of customer behavior where buyers are doing internet research before making a purchase. There is now a vast amount of information available for nearly every product category online.