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Overview

Table of contents

  1. Introduction
  2. Dataflow
  3. Components
  4. Next Steps

Introduction

Use Health Log Analytics (HLA) to predict IT issues before they affect your users. The application helps you solve problems faster by collecting, understanding, and correlating machine-generated log data in real time. It detects anomalies from your application logs and discovers any deviation from normal behavior as it happens and alerts you of possible issues.

Dataflow

Dataflow

  1. Configure your Azure Kubernetes environment with Fluent Bit to collect all cluster logs and send them to Azure Log Analytics.

  2. Configure your ServiceNow instance to collect logs from Azure Log Analytics using Health Log Analytics

  3. Use Health Log Analytics to predict and prevent Incidents.

Components

Component Description
Health Log Analytics The ServiceNow Health Log Analytics collects logs streaming into your ServiceNow instance from endpoints or data lakes, such as Splunk, Elasticsearch or Azure Log Analytics and detects anomalies using AI & Machine Learning
Fluent Bit Fluent Bit is a super fast, lightweight, and highly scalable logging and metrics processor and it is the preferred log forwarding solution for cloud and containerized environments
Azure Log Analytics Log Analytics is a tool in the Azure portal to edit and run log queries from data collected by Azure Monitor Logs and interactively analyze their results
Azure Kubernetes Microsoft Azure mananaged Kubernetes Cluster for your Cloud Native Workloads.

Next Steps

  • Follow the Guide to implement in your environment.