The synergy between log search and big data analytics can deliver real value in use cases such as risk management, compliance, security analysis, network quality, application development, IT system performance, market intelligence, and e-commerce personalization.
But the combined challenges of data volume and the associated storage and commercial software licensing costs have led many organizations to look for more cost-effective alternatives. Open source log analytics architectures available today offer the flexibility, speed, affordability, as well as powerful functionalities.
Download this free white paper to learn about:
- How to apply log analytics across enterprise use cases
- The benefits of using open source technologies
- The key components of a log analytics architecture built on the Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) and Apache Kafka