Find out what your peers are saying about Splunk, Wazuh, Datadog and others in Log Management.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
i-Vertix Log & Data Management is a software solution designed to efficiently manage and analyze log and data information.
Users appreciate its ability to simplify log and data management processes, allowing for streamlined operations. The software also provides real-time insights and generates meaningful insights promptly, enabling users to make informed decisions.
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