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Getting Started


This guide describes how to set up the following:

  • Centralized logs service and how to stream logs to CloudAEye
  • View logs in dashboard
  • AI powered logs analyzer service for anomaly detection

At the end of this tutorial, you will be able to setup logs services for your distributed cloud applications.

⚓ Prerequisites

Step 1: Register

Sign up with CloudAEye SaaS.

Step 2: Request Free-trial

Click on "Request Free Trial" button on Home scree to request a 30 days free trial.

Before starting this tutorial, you must install and configure the following tools.

  • caeops – A command line tool for working with CloudAEye SaaS (Software-as-a-Service).

After installing the CLI, please sign up for CloudAEye SaaS.

Step 1: Install CLI

Install and setup CloudAEye CLI.

Step 2: Register

Sign up with CloudAEye SaaS for free trial.

Setup Logs Service

After you get access to CloudAEye SaaS, do the following steps:

Step 3: Create Logs Service

Create logs service that will setup the server-side infrastructure for streaming logs, logs parsing and persistence with distributed search and anlytics engine support.

Step 4: Setup Logs Streaming

Using the CLI, setup logs streaming from your microsrevices environment.

Step 5: View Logs

Validate that streaming is working by viewing the logs in dashboard.

🎀 Setup Logs Analyzer Service

Step 6: Setup AI Powered Logs Analyzer

After running the logs services for few hours so that there is enough logs for the AI/ML models to train, you may setup the logs analyzer service. This will automatically identify anomaly in your cloud application and pin point log messages that are critical for the incident with important contextual information.

Next Steps

Now that you have a working AI powered logs services, you may setup the following next: