
How Rapyd solved observability gaps to cut Kubernetes costs by 40%
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
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On an average day, 10 billion records are being collected. With an average of 1 KB per record, the daily amount of data collected accounts to roughly 10 TB. The data ingestion need to support at least 120K events/second to keep up with the volume of collected data.
Voyager Labs needed the capability to analyze billions of data points & reveal deep actionable insights from the collected data.
After careful and detailed evaluation of customer challenges, the following solution features were prioritized to be a part of a proposed solution and architecture:
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform. These include AWS managed services that help ingest, store,find, process, and analyze both structured and unstructured data.
Following the delivery of the solution by DoiT International, Voyager Labs now enjoys the following benefits:
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
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From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.
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