The observability solution provided by Elastic offers a comprehensive suite of tools and capabilities that can be applied to various aspects of application performance. One of the key components of Elastic Observability is Elastic APM.
Monitor the performance of your applications through code instrumentation and integration with various programming languages and frameworks. Through this integration, Elastic can gather detailed information about response times, errors, transactions, and database interactions of the application.
APM use case examples
A practical example of using Elastic Observability for APM is an e-commerce website. Imagine an online store noticing that its web page load times are slow and customers are complaining about a sluggish user experience. With Elastic Observability, you can analyze the latency and quickly determine its cause.
Using Elastic APM, you can instrument your web applications and gather information about the execution time of specific API calls. It also allows tracking of database interactions and the external services the application communicates with. With this information, you can identify bottlenecks, such as inefficient database queries or delays in retrieving data from external services. This knowledge enables you to pinpoint where optimizations are needed to improve performance and user experience.
Another example is monitoring a distributed microservices architecture. Imagine a company has migrated its application to a microservices architecture, where each microservice is responsible for a specific business process.
With Elastic Observability, you can track and analyze the performance of each microservice. The APM can be integrated into each microservice to collect data on the service’s execution time, processed requests, and any errors.
With APM tracing, you can trace the data between the microservices and identify bottlenecks that affect performance. For example, if a specific microservice is responding slowly, you can quickly locate the cause and take appropriate optimization steps to improve performance.
Logs & Metrics
Elastic Observability also provides capabilities for log management and infrastructure monitoring. With Elastic Logs, organizations can centralize and make their application log files searchable. This enables developers and system administrators to quickly identify the cause of issues by searching for error messages or anomalies in the logs.
Elastic Metrics provides insight into infrastructure performance, such as CPU usage, memory usage, and network statistics. These data can be combined with APM data to obtain a holistic view of application performance and the underlying infrastructure.
Elastic Observability is a powerful solution for application performance monitoring. With Elastic APM, developers can track and optimize the performance of their applications. Practical applications of Elastic Observability include analyzing the performance of an e-commerce website and monitoring a distributed microservices architecture.
Elastic Observability helps your organization improve application performance, optimize user experience, and identify and resolve issues more quickly.