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&#x2F;Docker&#x2F;CoreOS for 12FA&#x2F;microservices.  We have many dozens of apps and even with all of that, we&#x27;re still only pushing about 4-5 GB of logs each day.<p>The number one most important problem we&#x27;re trying to solve is the actual parsing of logs during ingestion.  We need logs from commonly-used apps &amp; frameworks to be automatically identified and parsed and we need an easy way to set up a custom parser for internal logs that doesn&#x27;t require crazy hand-written regex.  How does LogDNA handle parsing?  What apps&#x2F;frameworks are supported?