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Microsoft Operations Management Suite Cookbook

Microsoft Operations Management Suite Cookbook

By : Chiyo Odika
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Microsoft Operations Management Suite Cookbook

Microsoft Operations Management Suite Cookbook

By: Chiyo Odika

Overview of this book

Microsoft Operations Management Suite Cookbook begins with an overview of how to hit the ground running with OMS insights and analytics. Next, you will learn to search and analyze data to retrieve actionable insights, review alert generation from the analyzed data, and use basic and advanced Log search queries in Azure Log Analytics. Following this, you will explore some other management solutions that provide functionality related to workload assessment, application dependency mapping, automation and configuration management, and security and compliance. You will also become well versed with the data protection and recovery functionalities of OMS Protection and Recovery, and learn how to use Azure Automation components and features in OMS. Finally you will learn how to evaluate key considerations for using the Security and Audit solution, and working with Security and Compliance in OMS. By the end of the book, you will be able to configure and utilize solution offerings in OMS, understand OMS workflows, how to unlock insights, integrate capabilities into new or existing workflows, manage configurations, and automate tasks and processes.
Table of Contents (11 chapters)
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Getting Started with Microsoft Operations Management Suite

This introductory chapter will provide an overview of how to get started with the management capabilities in Operations Management Suite (OMS). It will cover the various methods for signing up to Log Analytics, creating and administering a workspace, provisioning and managing access to workspaces, on-boarding agents to OMS, and viewing the initial data. This chapter will also review architectural considerations for OMS, including proxy and firewall configurations, OMS gateway considerations, and placement. This chapter will include the following topics::

  • Understanding OMS architecture and data flow
  • Connecting sources without internet access to OMS
  • Getting started with OMS
  • Reviewing the collected data
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