The Power of Automated Pipelines
keep indexed volumes constant in real time - startups are already stressful enough, the last thing you need is a misconfiguration or surprise data spike reducing your runway.
AI copilot that proactively adapts to your data pipelines to ensure fixed indexes
Visibility into your mission critical data, available with custom dashboard support
Low cost S3 fixed object storage with a fast and efficient ClickHouse query engine
Time-series metrics that are dynamically rolled up to auto-reduce granularity
Dynamic Sampling and Rollups
smart scaling keeps your data streams and your bill constant
This is the Future for Startups Like Yours
How does the service decide what to prioritize? Well, it considers error more valuable than info, 4XX more valuable than 2XX, custom metrics more valuable than default golden signals, only allows debug passthrough when error rates are high... and on and on. This is not meant to be a perfect approach but rather one used by teams that value their own burn rate over their production service that hasn't quite become mainstream (yet).
Datadog is inexpensive at the beginning, FluidScaler is inexpensive forever.
The movement has started...
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