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Maintenance Windows

Contents

DVA-C02 Introduction
Amazon CloudWatch
3
4
Anomaly Detection
PREVIEW14m 35s
Options for Operating Programmatically with AWS
AWS AppConfig
AWS Cloud Development Kit (CDK)

The course is part of this learning path

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Difficulty
Intermediate
Duration
3h 58m
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Description

This course provides detail on the AWS Management & Governance services relevant to the AWS Certified Developer - Associate exam.

Want more? Try a lab playground or do a Lab Challenge!

Learning Objectives

  • Learn how AWS AppConfig can reduce errors in configuration changes and prevent application downtime
  • Understand how the AWS Cloud Development Kit (CDK) can be used to model and provision application resources using common programming languages
  • Get a high-level understanding of Amazon CloudWatch
  • Learn about the features and use cases of the service
  • Create your own CloudWatch dashboard to monitor the items that are important to you
  • Understand how CloudWatch dashboards can be shared across accounts
  • Understand the cost structure of CloudWatch dashboards and the limitations of the service
  • Review how monitored metrics go into an ALARM state
  • Learn about the challenges of creating CloudWatch Alarms and the benefits of using machine learning in alarm management
  • Know how to create a CloudWatch Alarm using Anomaly Detection
  • Learn what types of metrics are suitable for use with Anomaly Detection
  • Create your own CloudWatch log subscription
  • Learn how AWS CloudTrail enables auditing and governance of your AWS account
  • Understand how Amazon CloudWatch Logs enables you to monitor and store your system, application, and custom log files
  • Explain what AWS CloudFormation is and what it’s used for
  • Determine the benefits of AWS CloudFormation
  • Understand what each of the core components are and what they are used for
  • Create a CloudFormation Stack using an existing AWS template
  • Learn what VPC flow logs are and what they are used for
  • Determine options for operating programmatically with AWS, including the AWS CLI, APIs, and SDKs
  • Learn about the capabilities of AWS Systems Manager for managing applications and infrastructure
  • Understand how AWS Secrets Manager can be used to securely encrypt application secrets
Transcript

You can run administration tasks like a run command document that are potentially disruptive manually or during a predefined maintenance window.  A maintenance window gives you the ability to schedule tasks such as patching an operating system, updating drivers on your ec2 instances, installing software, or schedule tasks on supported resources.  You can set limits for simultaneous executions and allowable error rates. 

A maintenance window is an independent resource that allows you to define and run complex tasks using a Run command document, an AWS Step Functions, or an AWS Lambda Function.  You can also view a history of all tasks executed in a maintenance window if needed. 

How does a maintenance window work? 

First, you need to define a schedule which specifies the time window when potentially disruptive actions can take place.  You can define the start time and the end time. You can also use Cron or Rate expressions to define the time period. 

You can also need to specify the duration of the maintenance window in hours. 

Once a maintenance window is created you can register targets to it by name which assigns a set of instances to your maintenance window. You specify instance tags, choose a resource group or choose instances manually.

You can also Register to run a command document task, register to run an Automation document Task, register to execute a Lambda Function Task or register to execute Step Functions Task.

Maintenance windows can run any number of tasks on your managed instances avoiding operational downtime so that you can run administration tasks that are potentially disruptive during a predefined period where changes can be applied.

 

About the Author
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Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.

To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.

Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.

He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.

In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.

Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.