Optimizing Your Observability Usage and Costs as You Scale with New Features from Splunk
Learn how to leverage Splunk's new features to manage your metrics costs and usage.
As organizations move to cloud-native technologies to improve speed and scale, they face new challenges related to data growth. Since 2010, the data we generate has increased exponentially, meaning more money is spent collecting, storing, and analyzing data. This makes it difficult to build a cost-efficient observability solution, meet performance at scale, and improve operational efficiency.
To help with these challenges, Splunk has released new usage and cost controls for Observability Cloud users. Customers now have access to detailed MTS creation and usage analysis to better understand their metrics cardinality and how metrics are being used across teams and functions and identify opportunities for optimization. We’ve also released Metrics Pipeline Management within Splunk Infrastructure Monitoring, which offers users in-product, rule-based aggregation on MTS dimensions for easy MTS volume reduction.
Increased Efficiency as You Scale
What is Metrics Cardinality and How is it Impacting Your Observability Costs?
Splunk Observability Cloud has introduced new usage and optimization controls to help customers manage the increasing metrics cardinality of their cloud-native environments and regain control of their data.
Get Detailed Insight Into Your Metric Usage Analytics With Splunk Observability Cloud
Customers can request an on-demand metric usage analytics report to understand the usage and cardinality of their metrics and optimize their metric time series in the system.
Want to see more? Watch the Confidently Scale Your Observability Platform Without Scaling Costs Tech Talk | Play Now
How to Reduce TCO With Splunk Observability Cloud
Splunk Observability Cloud offers Metric Pipeline Management that allows users to easily drop low value metrics and reduce their costs.
Control Costs and Improve Performance
Metrics Pipeline Management is a great way to help you maintain control of your metrics volume. It allows you to reduce your total cost of ownership by aggregating metrics to reduce your metrics volume. You can easily drop metrics that are not being used or aggregate high cardinality metrics, all in real time. Aggregated metrics also help boost your query performance.
Metrics Pipeline Management is available to all Splunk Infrastructure Monitoring Enterprise customers or Standard customers who have Service Bureau Add-Ons.
How to Use Metrics Pipeline Management
Splunk Observability Cloud allows users to create configuration rules for metrics that need to be optimized, such as dropping data or setting aggregation rules, in order to utilize the data more efficiently.
These powerful new tools offer simplified data management and improved performance. With the documentation and resources available, you can quickly get started with optimizing your observability usage and controlling costs.
Now Watch the Confidently Scale Your Observability Platform Without Scaling Costs Tech Talk | Play Now
