Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds.
Solutions Architect at a computer software company with 1,001-5,000 employees
Real User
2022-02-23T15:03:46Z
Feb 23, 2022
Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform.
Enterprise Monitoring / Data Protection Manager at a healthcare company with 1,001-5,000 employees
Real User
2021-07-04T10:15:02Z
Jul 4, 2021
We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical.
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...
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds.
The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization.
The product has connectors to many services.
Its diverse set of features available on the cloud is of significant importance.
The solution is open-source and helps with back-end logging. It is also easy to handle.
The most valuable feature of Elastic Observability is the text search.
It has always been a stable solution.
I have built a mini business intelligence system based on Elastic Observability.
The solution has been stable in our usage.
Good design and easy to use once implemented.
Machine learning is the most valuable feature of this solution.
It's easy to deploy, and it's very flexible.
Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform.
The solution allows us to dig deep into data.
We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical.
The price is very less expensive compared to the other solutions.