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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.
The StackState AIOps platform is a unique offering as we combine:
- Topology – view all components and all their dependencies, on prem and cloud;
- Telemetry – see all metrics, events and logs per component, regardless of its source;
- Tracing – insights into end-to-end customer journey at code level;
- Time travelling – travel back to any moment in time.
We make this possible through our unique version graph database (the so called 4T model).
Again, all combined in one model, one view. Future ready as new technologies will be launched and will be included into StackState’s AIOps platform.
On top of this platform we offer state of the art AI capabilities for:
- Root Cause Analysis;
- Impact Analysis;
- Predictive Analytics;
- Anomaly detection;
- Remediation and Automation
This helps our customer to drastically reduce Root Cause Analysis (RCA) and Mean Time To Repair (MTTR). All together this makes StackState the only vendor today which makes AIOps a reality.
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