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TCO: Optimize your Total Logging Cost of Ownership

Coralogix TCO not only reduces your logging costs by up to two-thirds but also improves your ability to query, monitor, and manage your data, by allowing you to define the data pipeline your logs will go through, based on the importance of data to your business.

This enables you to get all of the benefits of an ML-powered logging solution at only a third of the cost and with more real-time analysis and alerting capabilities than before.

TCO Optimizer

The TCO Optimizer allows you to assign different logging pipelines for each application/subsystem pair and log severity, giving you maximum control over your data. The priorities are described as follows:

Low Priority
Non-important log data that needs to be kept for
compliance/post-processing reasons, will go
straight to your archive.
LiveTail

Log Parsing

Archive

Reindex

Medium Priority

Logs that are used for monitoring or statistics will be
fully available for those use cases by allowing you to
define alerts, build dashboards, view statistics, query
the live data stream, and receive proactive anomalies.

LiveTail

Dashboard Visualizations

Loggregation

Logs2Metrics

Log Parsing

Alerts

Anomalies

Archive

Reindex

Direct S3 Querying (coming soon)

High Priority

Your most important logs, typically high severity, or
business-critical data will be stored on highly available
SSDs, replicated, and ready to be queried within seconds.

Lightning Queries

LiveTail

Dashboard Visualizations

Loggregation

Logs2Metric

Log Parsing

Alerts

Anomalies

Archive

Reindex

Direct S3 Querying (coming soon)

You can always move your data from one level to another, even retroactively.

Usage Details

The TCO Optimizer displays the usage of all applications and subsystems, sorted by the top consumers. Click on any row to view the application/subsystem usage broken down by level of severity. You may use the top filters to easily locate a specific component.

logging costs - shows the view of different logs

With the drop-down menu on the right, you are assigning for each component its priority to determine the data pipeline the logs arriving from that subsystem will go through.

Low priority: Non-important log data that needs to be kept for compliance/post-processing reasons, will go straight to your archive.

Medium Priority: Logs that are used for monitoring or statistics will be fully available for those use cases by allowing you to define alerts, build dashboards, view statistics, query the live data stream, and receive proactive anomalies.

High Priority: Your most important logs, typically high severity, or business-critical data will be stored on highly available SSDs, replicated, and ready to be queried within seconds.

Block Priority: Non-important log data you do not wish to store at all, not even in your archive.

logging costs - shows the selection of priority for a given log

Also, you can assign different logging pipelines for different severities of a specific application-subsystem pair. Click on the arrow sign on the right of each line to see a breakdown of your logs by severity. This allows you to decide on your priority for this severity. The main drop-down will automatically show Multiple to respect your multiple selections.logging costs - shows another view of logging that allows you to assign logging priority to a given log level

If you wish to change the priority of some of your logs, you can always amend your original selections. This allows you to try out lots of different configurations to find the perfect optimization for your log analytics. This unlocks greater visibility of problems, shorter troubleshooting times, and finely tuned logging costs that will scale with your needs.

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