LATEST INTELLIGENCE
MIGRATING LOG ANALYTICS TO THE CLOUD
Log Management vendors over the last several years have created compelling Software as a Service ( SaaS ) offerings which are driving a big shift from on-premises installs to SaaS . SaaS shifts the burden of running the core engines of these systems to the vendors . This is not a silver bullet for all use cases , and care still needs to be taken to ensure data is readily ingested and available in an economically viable way . Additionally , SaaS introduces new challenges : costs such as ingestion charges and cloud service egress charges , limitations on flexibility , and vendor lock-in .
This document offers options to meet those challenges . Many IT shops look to compartmentalize change during transitions like this , to minimize risk . It ’ s our contention at Cribl that moving to SaaS without putting protective measures in place adds to your risk . You wouldn ’ t connect a third party directly into your network without some kind of firewall , so why would you do so with your data ?
The Challenges COSTS
SaaS log systems take infrastructure responsibility and cost off the table , but the potential cost of sending “ low-value data ” to them escalates quickly . Costs include :
• Ingestion costs ( cloud logging providers ’ fees are structured on the amount of data ingested per day ).
• Increased network bandwidth requirements .
• Possible network-data egress fees p
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