I understand. For me, though, scaling is just a small piece of the puzzle and not really a differentiator. To give you an idea of our size, we run about ~500 instances in a private cloud hosted on about 45 dedicated servers at Rackspace. We use OpenStack for stateful services and data storage and we use Kubernetes/Docker/CoreOS for 12FA/microservices. We have many dozens of apps and even with all of that, we're still only pushing about 4-5 GB of logs each day.

The number one most important problem we're trying to solve is the actual parsing of logs during ingestion. We need logs from commonly-used apps & frameworks to be automatically identified and parsed and we need an easy way to set up a custom parser for internal logs that doesn't require crazy hand-written regex. How does LogDNA handle parsing? What apps/frameworks are supported?