Amazon CloudWatch

We use Amazon Cloudwatch to monitor the health of our infrastructure running on Amazon Web Services (AWS). Particularly the health of EC2 instances and RDS to ensure that our services are performing as expected. The service provides us with visibility and alerting helps us address problems quickly before they have an impact on customers.

For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.

If you use any AWS service, CloudWatch is a must-have. Imagine having multiple services deployed & running on AWS. The services work interdependently. CloudWatch allows viewing logs of all those services in a central place. With CloudWatch Log Insights, you can make custom queries for your log across multiple streams. If you set up AWS Organizations, CloudWatch can help centralize logs from all accounts.

If you use any AWS services, CloudWatch is the natural choice to monitor & troubleshoot your workload. Thankfully, for most AWS services, CloudWatch is either built-in or very easy to set up. However, being proficient in browsing & tracking the log events would take some training & practice. Having some experienced people on the team would help immensely, especially in spreading the skill to the rest of the team.

We majorly use Amazon CloudWatch to track and get alerts on the metrics of RDS, Elasticache and other services of AWS in use. We do have it for logging Lamda runs in some cases, but not a significant requirement for us, as we use lambda with minimal logic and nothing complicated at all

If there are a lot of AWS native solutions or infra in place, Amazon CloudWatch is certainly helpful and probably the best. Also, real-time alerting and metrics are easy to bring up using Amazon CloudWatch. Helps with troubleshooting in case of any issues in AWS resources. It also helps in triggering any events or incidents based on measured metrics Amazon CloudWatch may not be the best solution for monitoring resources spanning across multiple clouds or on-prem instances. It will also be an expensive solution when the volume of logs is high and the reads are frequent. While the visualization is limited compared to tools like Grafana, Amazon CloudWatch's internal visualization servers the purpose most of the time

Amazon Cloud watch is primarily used for watching all the requests coming into any of the AWS services our organization is using. It can tracks all the requests, with the IP address and can help in monitoring the requests/ sec. Also helps to filter what requests need to be searched based on different criteria like Access Key, and IP address.

CloudWatch allows to ingest, store, filter, search and archive the logs reducing operational burden Allows to focus on application and business rather than logging Specific scenarios where it is less appropriate: When different users have different permission to view a specific set of logs, it does not allow that Product managers or Business people cannot easily make charts to view the stats from each customer for their purpose. Easy integration with the product team is not viable.

Amazon CloudWatch assists us in monitoring the performance of our applications, resource use, and overall operation health. Our employees must comply to a CloudWatch threshold anytime they use our amazon EC2 instances, as well as whenever an employee is logged in to the EC2 instance for hours longer than those given to them. Also, they must comply to the threshold if they do anything that could compromise the application's health and operation.

Amazon CloudWatch is best suited in a large firm with many employees, where machines work overtime and manual labour is ineffective at monitoring software longevity. In small firms, when each person can manually keep track of their application threshold, it is less suitable.

1. With Amazon CloudWatch, we monitor the cloud resources used for our product. 2. Create various alarms for auto-scaling, increasing CPU load on EC2 instance. 3. Create custom rules to trigger other cloud resources in our product. Since we use AWS Cloud for our application, our scope is all the resources being used by our application and CloudWatch helps in monitoring all the resources across our application.

Amazon CloudWatch is well suited for an application which is native AWS cloud based application and all the resources can be monitored and controlled using Amazon CloudWatch. If an application is deployed on Azure, Google Cloud Platform, etc. Amazon CloudWatch is not supported or well-suited in those cases and less appropriate.

Our organization has utilized monitoring and events for overall health in the AWS environment. The custom dashboards allow us to manage the display of critical metrics and alarms for any resource in the regional virtual private cloud. This has proven more valuable than setting up another vendor system (Orion by SolarWinds, or Nagios, etc) within AWS space. Having the available alarms and cost metrics all in one place has been a better overall solution since nearly all our systems are cloud-based.

Cloud watch is great and essential if you decide to invest in AWS and have any need to monitor the health of all aspects of your VPC resources, or at the organizational level (multiple accounts). Another benefit of the service is constant upgrades at no additional costs; the software evolves to develop modules and interface improvements. For first-time users in AWS, this is going to take a bit to understand, so the learning curve to this metrics environment can seem overwhelming at first glance/use.

We use Amazon CloudWatch for monitoring cloud and deriving the lot of useful metrics. We have deployed applications with micro-service architecture and observe them for CPU usage, Network usage and Disk usage with help of CloudWatch default Dashboard. We have also created custom dashboards observe certain exceptions. All the deployments which we have done on AWS, CloudWatch is the one which is used for sure. It also helps us to trigger the alarm when billing goes up than a standard limit.

[Amazon] CloudWatch is the service which is required by almost all kind of applications. Whenever you need logging for your application and monitoring your cloud, you will require [Amazon] CloudWatch. Apart from default dashboards, you can create custom dashboards to check the health of your cloud or to debug the scenarios via logs. [Amazon] CloudWatch events can be triggered real time and appropriate actions can be taken on top of the events. When the cloud services are used for purpose like storage or simple notifications, you may not require CloudWatch. For any sophisticated cloud architecture, this service is must.

CloudWatch is used as our main monitoring tool for our EC2 instances and other relevant resources. CloudWatch is used both for online monitoring and [as a] logging tool. We also use CloudWatch dashboard as the main dashboard for the AWS-based infrastructure that we use. CloudWatch is also used as an alarm and notification solution for the health of our EC2 instances.

I [would] highly recommend AWS CloudWatch to a colleague if he is using AWS EC2 instances and other AWS services and resources. It is pretty easy to install and use CloudWatch and it can integrate, monitor and log relevant data from different AWS resources. The price is reasonable for the ease of use (you might be able to find cheaper solutions, but it will be more difficult to integrate with all of your AWS services and resources).

We use Cloudwatch to see our EC2 instances and other AWS resources (like LoadBalancer, Elasticache, RDS, etc.). We designed custom dashboards for monitoring our performance and response time. You can create a particular alert with Cloudwatch alarms, and you can see your logs in Cloudwatch logs.

You shouldn't use it if your log IO is so much. If your all-Cloud structure is AWS, you should use Cloudwatch.