The Problem
Let's Face It: Observability is too Expensive
Extortionate Costs
Datadog and Splunk are eating into your margins. A typical mid-sized SaaS company with 200 engineers spends $36,000 per year just on just log indexing.
Reduced Observability
Teams are forced to cut down on custom logging and metrics to reduce costs, leading to less system insight and longer resolution times for critical issues. This leads to less happy customers and less revenue.
Not Enough Observability
Teams sign smaller contracts with observability providers that they know provide insufficient observability, but they have to stick to budget.
The Solution
AI Pipelines That Reduce Your Log Volume Without Losing Information
Reduce your log volume without losing any information
Reduce Your Log Volume
Create AI pipelines that condense your logs - leading to less logging events and smaller log storage sizes - without losing any information.
Integrate With Your Existing Tools
No need for retraining your engineers to use a new tool. Optimise logs from Datadog, Splunk, and more.