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As data volumes continue to grow, traditional monitoring approaches can no longer ensure observability for systems.
As data volumes continue to grow, traditional monitoring approaches can no longer ensure observability for systems.
As data volumes continue to grow, traditional monitoring approaches can no longer ensure observability for modern systems.
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Loggregation or log clustering is another unique feature in the Coralogix toolkit.
Loggregation condenses millions of log entries into a narrow set of patterns using machine learning. It does so by automatically analyzing each log record sent to Coralogix, then separating the log constants from its variables.This allows you to cut out all the noise and understand which logs are accounting for the most errors and more.
GCP logging does not offer a competitive alternative to this feature, and suffers from noise and unwieldy amounts of data when dealing with the huge volume of logs typical in today’s digital environment.
Google Cloud does offer a basic archiving solution, but it doesn’t have much functionality around it. Conversely, all Coralogix customers, regardless of ingestion amounts, can remotely archive their data into cloud object storage. Since Coralogix does not tier its solution, customers who ingest their data into the platform gain immediate access to every single feature.
With the Coralogix platform, you can also perform remote queries in seconds on archived, unindexed data. GCP does not offer this feature, and instead relies on its customers to perform the necessary engineering work to join together Amazon Athena, AWS S3 and other tools, adding to your overall costs and resource commitments.
If you are looking for a cost-effective, full-stack observability solution that gives you comprehensive visibility into logs, metrics, tracing and security events, sign up today.