Case Study: MediaKind achieves 80% log optimization with Edge Delta

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Preview of the MediaKind Case Study

MediaKind reduces log ingestion by 80% with Edge Delta

MediaKind, an Emmy Award-winning media technology company, faced a significant challenge when new customers were set to cause a six-fold increase in their log data volume. This extreme growth threatened to make their Elastic Cloud monitoring platform noisy and cost-prohibitive. To address this, MediaKind turned to vendor Edge Delta and its Observability Pipelines solution to gain control and derive insights upstream before data ingestion.

By implementing Edge Delta, MediaKind was able to analyze data at its source, extract metrics, and cluster repetitive log lines. This approach allowed them to optimize their log data volumes by over 80%, drastically reducing ingestion costs into Elastic Cloud without impacting data visibility. The solution from Edge Delta also reduced dataset noisiness for developers and provided a complete, bundled package that proved to be a powerful and valuable tool for controlling observability costs at scale.


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