Enterprises generate terabytes of unstructured data from IT systems, cloud-based workloads and business objects every day. Splunk is a critical enterprise tool for unlocking insights from this data, but it’s only as good as the amount of data it can ingest. This is becoming increasingly challenging as organizations look for ways to scale more cost efficiently.
Discover how the Diamanti platform can optimize your Splunk environment by making it simple to scale, dramatically improving indexing latency for greater data ingestion, all while saving you money.
Enterprises are running Splunk in containers with Diamanti, the first purpose-built infrastructure for Kubernetes that delivers real-world outcomes other approaches can’t match:
- 1 terabyte per hour ingest rates, supporting real-time analysis
- 83% reduction in footprint, cutting down on data center OpEx
- 80% savings in total cost of ownership