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The Hoot - Episode 39 - Data compression and index-free logging with Jerald Perry
In this week’s podcast we talk with Jerald Perry, Senior Technical Marketing Engineer at Humio about how Humio’s index-free architecture and compression translate to cost savings for our customers.
Listen to our conversation with Jerald to learn:
- Why purpose-built solutions save money
- How index-free technology reduces CPU and storage costs
- What factors influence total cost of ownership (TCO) for log management
- Why scalable log management is essential
We often hear companies lament the fact that the cost of their traditional index-based log management solutions prevents them from collecting all the logs they need. In the conversation, Jerald reveals the benefits of using an index-free log management tool instead.
By reducing CPU demands and storage demands, an index-free architecture translates to a reduced TCO. For Humio, index-free isn’t the only source of cost reductions. Jerald reveals that Humio’s purpose-built design enables it to incorporate more adjustments, such as compression that can facilitate faster performance and less expensive storage and processes of data.
The fact that we're a purpose-built platform for log management means that we have built compression into our strategy.
Jerald closes with a warning about the need to choose log management solutions that scale for the future because data volumes are only going to increase.
Companies need a log management partner that has the ability to cost effectively scale with them and still provide access to this log data in an efficient manner. Because three years from now, five years from now, they don't know what that log data is going to look like or how large it's going to be.
By leveraging an index-free architecture, advanced compression, and flexible storage options, Humio delivers speed and scalability at a fraction of the price of other log management that scales to meet future data volume demands. Enterprise users can save up to 80% on their infrastructure compared to ELK and Splunk.
See how Humio’s architecture can keep costs low for years by using our cost savings estimator.
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By Humio.com
5
11 ratings
In this week’s podcast we talk with Jerald Perry, Senior Technical Marketing Engineer at Humio about how Humio’s index-free architecture and compression translate to cost savings for our customers.
Listen to our conversation with Jerald to learn:
- Why purpose-built solutions save money
- How index-free technology reduces CPU and storage costs
- What factors influence total cost of ownership (TCO) for log management
- Why scalable log management is essential
We often hear companies lament the fact that the cost of their traditional index-based log management solutions prevents them from collecting all the logs they need. In the conversation, Jerald reveals the benefits of using an index-free log management tool instead.
By reducing CPU demands and storage demands, an index-free architecture translates to a reduced TCO. For Humio, index-free isn’t the only source of cost reductions. Jerald reveals that Humio’s purpose-built design enables it to incorporate more adjustments, such as compression that can facilitate faster performance and less expensive storage and processes of data.
The fact that we're a purpose-built platform for log management means that we have built compression into our strategy.
Jerald closes with a warning about the need to choose log management solutions that scale for the future because data volumes are only going to increase.
Companies need a log management partner that has the ability to cost effectively scale with them and still provide access to this log data in an efficient manner. Because three years from now, five years from now, they don't know what that log data is going to look like or how large it's going to be.
By leveraging an index-free architecture, advanced compression, and flexible storage options, Humio delivers speed and scalability at a fraction of the price of other log management that scales to meet future data volume demands. Enterprise users can save up to 80% on their infrastructure compared to ELK and Splunk.
See how Humio’s architecture can keep costs low for years by using our cost savings estimator.