AWS Config vs. Azure Monitor vs. Datadog

It's really good if your infrastructure services is all in AWS, that means everything could be audited and monitored using AWS config. You also can create alarms to notify you or your team about any changes on your AWS resources which is very useful to prevent abuse if you have a fairly large team. It's also very useful whenever some third party wants to audit your AWS resources, if you have a fairly comprehensive AWS config configured, the auditing process will be easy since they only need to look at your AWS config setup.

Incentivized

We were able to get a single pane of glass for all our monitoring needs on Azure Monitor. However, we would like to see it improve to auto scale out and scale in depending on the load without human intervention. This can help us get to the No Ops model and rely on automated processes rather than manual intervention.

Incentivized

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

Incentivized

• The ability to track changes in AWS is paramount, AWS config allows you to do this
• Allows the auditing of an AWS account
• Can view history of an account that has AWS config enabled

Incentivized

• It supports all the Azure PAAS services.
• Can monitor both infrastructure and application

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• It's only AWS, no third party.
• Not the most intuitive interface, but with a little getting used to it is OK.

Incentivized

• Custom metrics
• Ease of use

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

Would rate lower for other workloads but for AWS workloads its simple to set up, cost effective and customisable. Primary use case is compliance from a governance perspective.

Incentivized

I have not had to work with Azure Monitor support, so it is difficult to say how well the support team is. I assume that Azure has a well-versed team on the customer service side to assist with any issues customers may have. I may need them in the feature.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

I do not know or have used any other product in AWS cloud space that matches what AWS Config provides. We have some custom built monitoring and governance, however that is there because AWS Config does not provide it currently.

Incentivized

While other tools have their own unique capability, Azure Monitor helps us monitor essential PAAS services that are not supported by other tools. So even though we have one other APM tool, we still rely on Azure Monitor for some of the special PAAS services, this is a huge advantage.

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

• Enforcing audit requirements
• Easy to set up alerting when there are rule breaches
• Auto remediation reduces the manual policing of such breaches

Incentivized

• We are able to react quickly to the issues.
• Debugging sessions are yielding quicker results to generate RCA.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized