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Why Scalyr
Built for the Cloud
Observability platform is uniquely designed and optimized to support machine data at massive scale for the cloud.
Industry's Best Performance
Spend less time wrestling with tools and data, more time writing code. Determine root cause in record time.
Lowest TCO
Affordable price + easy to set up + no learning curve + no maintenance = unmatched cost-performance
One Tool for Your Teams
Scalyr's observability platform offers services monitoring, log management, alerts, metrics, data analysis and visualization, DevOps & Engineering teams can monitor, troubleshoot, query, resolve issues fast and reduce MTTR.
THE SCALYR DIFFERENCE
Query Anything. Index-free
Purpose-built architecture designed from day one for massive volumes of high cardinality, unstructured data. No more hassles with indexes. No need to structure or pre-process your data. Just send it as is and we'll do the rest.
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Massively Parallel
True multi-tenancy in the cloud for real-time performance and hyper scale. Blazing-fast ingest, search and visualizations no matter how many users or how much data. Industry-leading 1.5TB/s throughput. 96% of searches return results in less than one second.
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Intuitive UX
Easy-to-learn and easy-to-use by everyone. Jump straight from alerts to dashboards to logs and seamlessly pivot between them. Search on your terms – full text, facet or ad hoc. Query only when you need to.
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THOUSANDS OF USERS DEPEND ON SCALYR DAILY
“One of the things I really value in Scalyr is the responsiveness. I can give it a really terrible-looking query with a bunch of regular expressions, and somehow it still comes back in under a second.”
Elena Tatarchenko, Senior Engineering Manager, Oracle “We push many hundreds of gigabytes of logs to Scalyr, and I need to search back a few days sometimes, a month even. The fact that I can still do that is just great.”
Jeff Watts, Senior Engineering Manager, Periscope Data “Asking how Scalyr helps is like asking how breathing helps with your life.”
Tim Kröger, Head of Engineering, Zalando