Today's cloud environments are growing increasingly complex, which translates to large volumes and varieties of logs that need to be collected, stored and analysed. Extracting meaningful information from huge quantities of logs is a daunting data analytics challenge - especially with cost efficiency in mind.

Below are key considerations to make log analytics easier to manage, more productive, and more cost efficient:

• Easy integration with distributed data sources and centralize all logs in one scalable destination for storage.
• Intuitive search and visualisation to quickly explore log data.
• Alerts and AL/ML to surface problems you were not aware of.
• Filter out unneeded logs and utilize cheaper storage options for older (or less important) logs to reduce costs.
• Logs are just part of the picture. Consolidate logs with metrics and traces to avoid tool sprawl and disconnected insights.