Elastic Observability: Collect and analyze logs


Introduction to Elastic Observability

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.

Interactive demo: Log monitoring overview

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

Best practices for log management and leveraging logs for faster problem solving

Learn the benefits of a log management solution, challenges you'll likely encounter along the way, and some tips to help you avoid the pitfalls that often appear when starting up or trying to improve your log aggregation.

Onboard your data

Logging Quick Start

In this 3-step Quick Start series, you'll learn how to ingest, view, and analyze custom logs from your applications using Elastic Cloud. Logs are a critical piece in creating unified observability of your ecosystem.

Create an Elastic Cloud account

Get started with a 14-day trial. 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 select Collect and analyze my logs.


Ingest all your telemetry data

If this is your first time using Elastic you will need to add an agent, the preferred way to get your logs in. We suggest starting with the System logs integration. Simply type “System” in the search to select it.

Elastic Observability system integration

When you select the Add System you’ll be prompted to walk through how to ingest your system logs.

Elastic Observability prompt to install Elastic Agent

First, you’ll add an Elastic agent, add and configure your integration, then start sending logging data into Elastic.

If you get stuck take a look at this guided tour for installing the System integration.

Check out these examples on how to use these integrations:

Working with Elastic Observability

Get more out of your unstructured data

Learn best practices for working with unstructured log data and how to get started. Next, after you’ve ingested your data, it’s time to learn how to give your data more structure to answer even more questions.

Search and manage your logging data with interactive dashboards in Kibana

Logs can provide a record of an event and the time that event occurred, which would then allow you to find errors within your code to troubleshoot issues. Each log is time-stamped and shows an event that happened at a certain point in time.

Kibana allows you to analyze logs with interactive dashboards to derive insights, automate workflows, find anomalies and trends, and more. Be sure to explore the tutorial library below and get more familiar with Kibana so that you can customize or create your own dashboards.

Analysis and machine learning with logging data

Lastly, analyze logs, identify patterns, and detect anomalies with machine learning to get a holistic view across your environment.

Next steps

Thanks for taking the time to collect and analyze logs with Elastic Cloud. If you’re new to Elastic, be sure to spin up a free 14-day trial.

Also, as you begin your journey with Elastic, understand some operational, security, and data components you should manage as a user when you deploy across your environment.