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Overwhelmed by operational challenges in scaling the ELK Stack?
ELK Stack: Operational Nightmare in Maintaining and Scaling
Complex set-up, time consuming maintenance, burdensome troubleshooting across multiple tools.
Operational challenges in tuning Elasticsearch clusters to handle large amounts of data.
Elasticsearch customers are responsible for managing infrastructure, data lifecycle, and data tiers, leading to an unnecessary burden on valuable engineering resources.
ELK Stack
13 months by default for all data
Understanding the Total Cost of Ownership (TCO) of the ELK Stack
The ELK Stack—comprising Elasticsearch, Logstash, and Kibana—is a popular solution for log management and data analytics. However, as organizations scale, the complexities and costs of maintaining ELK also grow. Read our solution brief to learn the key reasons to replace the ELK stack, including both business and engineering perspectives.