A telecom operator had accumulated hundreds of indexes and far more sourcetypes, many of them near-duplicates. Searches were slow, retention was inconsistent, and access control was impossible to reason about. AceMQ assessed the architecture and produced a consolidation design.
Every new data source had been given its own index by default, so retention, access control, and storage tiering had to be configured hundreds of times over, and often were not. Sourcetypes had been auto-assigned, producing many variants of the same log format with different field extractions, so a search across a logical data type required listing every variant by hand. Analysts frequently missed data because they did not know a variant existed.
On-premises Splunk indexer cluster with hundreds of indexes across network, security, and application data.
The assessment groups indexes and sourcetypes by their real access-control and retention requirements rather than by their source system, which is what should drive index boundaries in the first place. We measure search patterns to confirm the grouping matches how people actually query, then design a consolidated layout with a migration path that does not break existing saved searches.
Index count fell to a manageable set with retention and access control defined once per tier rather than per source. Searches that previously required enumerating sourcetype variants now run against a single consolidated type, and analysts stopped missing data they did not know existed.
Consulting engagement to reduce Splunk daily ingest volume through filtering, routing, and tiering without losing security or compliance coverage.
Ongoing support for a Splunk environment where scheduled searches skipped, ad-hoc searches queued, and analysts blamed the platform.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.