Overview
What is DataSet by SentinelOne?
DataSet, formerly Scalyr, is a cloud-native flexible enterprise data platform built for all types of data – live or historical, at petabyte scale. By eliminating data schema requirements from the ingestion process and index limitations from querying, DataSet can process…
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What is DataSet by SentinelOne?
DataSet, formerly Scalyr, is a cloud-native flexible enterprise data platform built for all types of data – live or historical, at petabyte scale. By eliminating data schema requirements from the ingestion process and index limitations from querying, DataSet can process massive amounts of live…
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Product Details
- About
- Competitors
- Tech Details
What is DataSet by SentinelOne?
Scalyr was acquired by SentinelOne February 2021, and rebranded as DataSet in 2022.
DataSet by SentinelOne Competitors
DataSet by SentinelOne Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews
Community Insights
- Recommendations
Users who have reviewed Scalyr commonly recommend the following:
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Manage configurations with Terraform: Users suggest utilizing Terraform to manage configurations for CloudFront, S3 buckets, and SQS queues. This can enhance the organization and efficiency of these resources.
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Label log messages with relevant information: It is recommended to label each log message with the environment and product it pertains to. This helps in easily identifying and analyzing logs based on specific criteria.
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Start small and expand usage gradually: Many users advise starting with a limited scope and gradually expanding the usage of Scalyr. This approach allows for better understanding of the platform's capabilities and ensures a smooth transition.
Overall, users find Scalyr to be an excellent service that offers great technical capabilities and fast performance. They also mention the importance of reaching out to support for assistance, exploring sample configurations provided by Scalyr, and considering its integration with serverless/lambda services.