Log Data Overload: How to Get More Out of Your Log Data
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Log Data Overload: How to Get More Out of Your Log Data
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The trend toward increasing log data is continuing. According to a study by Splunk, 68% of organizations have seen an increase in the volume of machine-generated data over the past two years. And the trend is accelerating. The growth in application log data is increasingly driven by using cloud-based applications and microservices architectures.
Watch now and learn how do we deal with all this data so that the value grows with the volume. Brandon Shelton, solutions architect and Kevin Woods, product marketing director at Mezmo, discuss new approaches and trends in log management.Watch now to learn:
- The drivers for the continued increase in log data volumes
- What organizations report in terms of the challenges around log data
- How the technology and solution space is evolving around log data management and analytics
- How a telemetry pipeline can be employed to help extract more value from log data
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The trend toward increasing log data is continuing. According to a study by Splunk, 68% of organizations have seen an increase in the volume of machine-generated data over the past two years. And the trend is accelerating. The growth in application log data is increasingly driven by using cloud-based applications and microservices architectures.
Watch now and learn how do we deal with all this data so that the value grows with the volume. Brandon Shelton, solutions architect and Kevin Woods, product marketing director at Mezmo, discuss new approaches and trends in log management.Watch now to learn:
- The drivers for the continued increase in log data volumes
- What organizations report in terms of the challenges around log data
- How the technology and solution space is evolving around log data management and analytics
- How a telemetry pipeline can be employed to help extract more value from log data
The trend toward increasing log data is continuing. According to a study by Splunk, 68% of organizations have seen an increase in the volume of machine-generated data over the past two years. And the trend is accelerating. The growth in application log data is increasingly driven by using cloud-based applications and microservices architectures.
Watch now and learn how do we deal with all this data so that the value grows with the volume. Brandon Shelton, solutions architect and Kevin Woods, product marketing director at Mezmo, discuss new approaches and trends in log management.Watch now to learn:
- The drivers for the continued increase in log data volumes
- What organizations report in terms of the challenges around log data
- How the technology and solution space is evolving around log data management and analytics
- How a telemetry pipeline can be employed to help extract more value from log data
The trend toward increasing log data is continuing. According to a study by Splunk, 68% of organizations have seen an increase in the volume of machine-generated data over the past two years. And the trend is accelerating. The growth in application log data is increasingly driven by using cloud-based applications and microservices architectures.
Watch now and learn how do we deal with all this data so that the value grows with the volume. Brandon Shelton, solutions architect and Kevin Woods, product marketing director at Mezmo, discuss new approaches and trends in log management.Watch now to learn:
- The drivers for the continued increase in log data volumes
- What organizations report in terms of the challenges around log data
- How the technology and solution space is evolving around log data management and analytics
- How a telemetry pipeline can be employed to help extract more value from log data
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