Observability: Monitor your application performance

Get more familiar with Elastic Observability as well as an overview on how to ingest, view, and analyze customer logs from your applications using Elastic Cloud. Learn how you can modernize applications and adopt the cloud with confidence.

Check out this interactive demo to get a tour of what you can experience when you leverage Elastic Observability for monitoring your application performance.

Once you go to cloud.elastic.co and create an account, follow this video to learn how to launch your first Elastic stack in any one of our 50+ supported regions globally.

Once your deployment is complete, under the Observability tab, select Monitor my application performance (APM/tracking)

As an Elastic Cloud user you have Elastic APM available in Fleet. Simply confirm it’s running by  selecting Check APM Server Status. If it shows “You have correctly setup the APM Server” then you can proceed to the next step to get started on Elastic Cloud (Elasticsearch service).

There are multiple ways to get started on Elastic APM such as:

1. Monitoring your application with Elastic APM agents. Several language options are available to select from: Node.js, Django, Flask, Ruby on Rails, Rack, RUM(JS), GO, Java, .NET, and PHP; or
2. Ingesting telemetry from Opentelemetry instrumented applications.

For the purpose of this guide, it’s recommended to use one of the following ways below:

Monitor existing applications

Instrumenting Java app using Elastic APM Java Agent:

Let’s go through an example for Java.

We recommend following the steps to download the latest Java agent and add it to your existing java application.

Copy the code snippet within the cloud console to start your java application with the necessary configuration for Elastic APM.

For alternative configuration options, you can check out the documentation for the relevant code snippets.

Connect existing Otel instrumented application(s) to Elastic

If you want to instrument your application with OpenTelemetry and see Distributed Tracing in Elastic APM, just follow the instructions in the OpenTelemetry documentation.

Run a preconfigured demo environment locally

Run OpenTelemetry (OTel) demo locally using Kubernetes or Docker

If you don’t have an application instrumented with OpenTelemetry, Elastic has forked the OTel demo. Just follow the instructions on the Github page, and connect the application to Elastic APM Server.

Check out this blog for more guidance if you are using K8S. Once you go through the blog and follow it, if you see this, then the Otel Collector is sending data into Elastic.

Kibana allows you to analyze your data with interactive dashboards to derive insights, automate workflows, find anomalies and trends, and more. Check out the video below to get more familiar with Kibana so that can customize or create your own dashboards.

Issues can happen intermittently and are often complex. To find the root cause, learn how APM correlations in Elastic Observability helps you find solutions faster.

Now let’s dive in to learn how you can analyze your application performance within Kibana.

Lastly, take advantage of anomaly detection, alerts, and more to make life easier.

• Explore observability demo gallery
• Get started with collecting and analyzing your logs
• Get started with monitoring your hosts
• Get started with monitoring Kubernetes clusters
• Get started with optimizing workloads with universal profiling
• Get started with creating a synthetic monitor