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.
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
