AWS CloudWatch Introduction

Introduction

Amazon CloudWatch is a element of Amazon Web Services (AWS) that provides monitoring for AWS resources and the client applications running on the AWS instances. It enables real time monitoring of AWS EBS, AWS EC2 Instances, AWS RDS etc. It also provides matrices for CPU utilization, latency, and additional helpful parameters. It is used to be able to make sure that most of the resources as well the applications work under the threshold limit. When the defined threshold limit changes CloudWatch alarms sends the notification or automatically makes the changes to the resources as the rules defined by you. Users can access CloudWatch functions via an API, command-line tools or the AWS Management Console. The CloudWatch interface provides current statistics that may be viewed in graph format.

Amazon CloudWatch Features

The cloudwatch provides some useful features the following:

• Collect
• Monitor
• Act
• Analyze
• Security

Collect

The Amazon CloudWatch easily collect and store logs i.e. it enables you to collect and store logs from your resources, applications, and services in near real-time.

It also enables you to collect default metrics from Aws services, such as Amazon EC2, Amazon RDS, Amazon S3, AWS Lambda etc without the action on your part.

It also enables you to collect custom metrics from your personal applications to monitor operational performance, troubleshoot issues, and spot trends

Monitor

Amazon CloudWatch dashboards enable you to produce re-usable graphs and visualize your cloud resources and applications in a unified view. You are able to visualize key metrics, like CPU utilization and memory, and compare them to capacity.

Amazon CloudWatch also makes it easy to correlate metrics and logs. This helps you quickly go from diagnosing the issue to understanding the main cause.

Act

It Supports Auto Scaling. Auto Scaling can help you automate capacity and resource planning. You are able to set a threshold to alarm on a vital metric and trigger an automated Auto Scaling action. For instance, you can create an Auto Scaling workflow to incorporate or remove EC2 instances based on CPU utilization metrics and optimize resource costs.

Cloud watch enables you to respond quickly to operational changes and take corrective action.

Analyze

Amazon CloudWatch enables you to monitor trends and seasonality with 15 months of metric data (storage and retention). This data enables you to perform historical analysis to fine-tune resource utilization.

Security

Amazon CloudWatch is integrated with AWS Identity and Access Management (IAM) so you can control which users and resources have permission to get into your data and how they can access it.

Amazon CloudWatch Concepts

• Metrics

Metrics will be the fundamental concept in CloudWatch. A metric represents a time-ordered group of data points that are published to CloudWatch. Think of a metric as a variable to monitor, and the info points represent the values of the variable over time.

• Namespaces

A namespace is a box for CloudWatch metrics. Metrics in different namespaces are isolated from one another, in order that metrics from different applications aren't incorrectly aggregated into the similar statistics.

• Dimensions

A dimension is a name value pair that exclusively identifies a metric. You are able to assign around 10 dimensions to a metric.

• Statistics

Statistics are metric data aggregations over particular periods of time. CloudWatch provides statistics based on the metric data points supplied by your custom data or supplied by other AWS services to CloudWatch. Aggregations are created utilizing the namespace, metric name, dimensions, and the info point unit of measure, within the period of time you specify.

• Alarm

You should use an alarm to automatically initiate actions on your behalf. An alarm watches a single metric over a specified time period, and performs a number of specified actions, based on the value of the metric relative to a threshold over time.

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