Amazon CloudWatch vs. Azure Automation

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.

Incentivized

We have found Azure Automation to be well-suited for tasks that must be performed on a scheduled basis. No matter how simple or tedious tasks are to perform manually, if they run on a scheduled basis, it makes sense to have them automated. If the tasks at hand are only performed once or infrequently, then it may be best to continue performing them manually.

Incentivized

• It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
• It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
• If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.

Incentivized

• Scheduled automation of Microsoft 365 and Azure tasks
• Scheduled automation of scripting (e.g. Powershell)
• Perform periodic maintenance

Incentivized

• Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
• Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
• By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.

Incentivized

• An automation template library would be nice
• Clear estimation of costs - this goes for the entire Azure Automation platform
• It can be daunting at first due to all the settings and menu levels, but it is not difficult once you get started.

Incentivized

It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.

Incentivized

Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.

Incentivized

Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed

Incentivized

We did not evaluate any other automation products since we are already using Microsoft 365 and the Azure platform. Additionally, Azure Automation allows for a reasonable number of tasks to be performed each month at no cost, which is especially nice when testing the platform. We found Azure Automate's integration of Powershell invaluable when working directly with Microsoft 365, Sharepoint, Azure AD, and other systems via API.

Incentivized

• Positive for alarms and alert notifications once configured/customized.
• Has upfront learning curve, and cost can increase as does the alarm activity and monitoring details you may require.
• Cost-effective for any size organization keeping with AWS and utilizing its native tools is a savings in long-term ROI.

Incentivized

• Ensures tasks are not forgotten
• Saves times - routine tasks no longer have to be performed manually
• Complicated tasks are no longer an issue

Incentivized