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?
- Economic licensing: Offers cost-effective plans.
- Extensive metrics tracking: Helps in comprehensive system monitoring.
- Comprehensive logging: Centralizes log data efficiently.
- Performance Monitoring: Provides robust APM capabilities.
- Integration: Seamlessly integrates with other solutions.
- Kibana visualization: Facilitates data visualization and reporting.
- Machine learning support: Enables advanced data analysis.
- Flexible deployment: Supports various deployment environments.
- Rapid log searches: Enhances quick incident response.
- Accessibility: Offers extensive online documentation and connector support.
What benefits or ROI should users look for in Elastic Observability reviews?
- Stability: Look for consistent performance and reliability.
- Compliance: Effective monitoring aids in regulation adherence.
- System Security: Enhanced system monitoring and alert management.
- Cost-Effectiveness: Evaluate the economic pricing models.
- Scalability: Adequate scalability options for growing needs.
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.
Germain is a small yet growing organization with a number of large customers (eBay, American Airlines, Nestle, Pepsi, Tele2, etc) leveraging Germain’s two software technologies: Germain APM(Application Performance Monitoring software, Real-time, 24x7, Big Data) and Germain CRT(Automated Code/Object Performance review software). Germain is 100% focused on building software technologies intended to help IT organizations proactively understand and improve the performance of their Business Applications (CRM, ERP, eCommerce, HR, Supply Chain, Business Intelligence) and underlying infrastructure. Germain APM helps Application Administrators proactively monitor Real User Experience, End-to-end Application Performance, Network, Database, Operating System performance and more. Germain CRT helps Application Developers detect bad Code/Objects that are known to cause performance issues. In 2006, Germain built a Performance Monitoring software for Siebel CRM; In 2014, Germain launched a brand new germain APM, end-to-end, real-time, big data and able to monitor performance of any Applications (custom apps built in java, .net and packaged applications like salesforce.com, WordPress site, oracle application and databases, Microsoft application and databases, etc). more info on: germainAPM.com
