If your Splunk bill is out of control, you’re probably looking for new ways to cut costs. The alternative is migrating to another solution or going over budget. But what are you supposed to do if your teams want to keep using Splunk and you want full-fidelity data?
Our latest infographic discusses 5 ways you can cut your Splunk costs by 50% or more. Most of these approaches involve sacrificing some of your log data, whether that’s sampling, filtering, or suppressing logs altogether. While these approaches can work for some logs, what about the ones you need to keep?
Our preferred approach is option #5: use tiered observability to keep all your data, but only send mission-critical logs (typically 5-10% of your logs) to Splunk. The rest can go to a cost-effective log analytics solution like Hydrolix where you get full-fidelity data, major cost reductions, and the ability to keep your data “hot” for queries as long as you want (without paying big bills to keep that data).
Even better, you can use Hydrolix Search for Splunk to analyze and visualize your Hydrolix data in Splunk.
You keep all your data, your team keeps their workflows, and you save serious money—some companies are cutting costs by 6x or more. No compromises needed, and you can make your full-fidelity data available for other use cases like business intelligence and model training.
Next Steps
- Read 6 Ways to Cut Your Splunk Bill for a deeper look at these cost-reducing approaches.
- Learn more about tiered observability.
- Learn about the Hydrolix Connector for Splunk.
- See how you can visualize your Hydrolix data directly in Splunk.
- Get a demo to see how Hydrolix and Splunk work together.
