Datadog vs. Heroku Platform

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.

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Heroku is very well suited for startups looking to get a server stack up and running quickly. There is little to no overhead when managing your instances. However, you'll need a background in basic DevOps or system management to make sure everything is set up correctly. In addition, it's easy to accidentally go crazy on pricing. Make sure you're only creating the server instances you need to run the base application and set up an auto-scaler plugin to handle peaks.

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• 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.

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• Heroku has a very simple deployment model, making it easy to get your application up-and-running with minimal effort. We can focus on our efforts the unique aspects of our application.
• The robust add-on marketplace makes it easy to try out new approaches with minimal effort and investment -- and when we settle on a solution, we can easily scale it.
• Heroku's support is quite good -- their staff is quite technical and willing to get into the weeds to diagnose even complicated problems.

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• 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

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• Large price jumps between certain resource tiers (2x Dyno for $50 per month versus Performance Dyno for $250). Free Postgres next jumps to $50 per month.
• Marketing/Branding to non-technical stakeholders. As the years pass, I've had to fight more to convince stakeholders on the value of Heroku over AWS.
• Improve Buildpack documentation. This is one area where Heroku's documentation is fairly confusing.

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

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Heroku is easy to use, services a ton of functions for you out of the box, and provides a means to get a software product off the ground and managed quickly and easily. The tools provide allows a small to medium size org to move very quickly. The CLI tools provided make managing an entire technical infrastructure simple.

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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.

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Easy to use web based console and easy to use command line tools; deployment is done directly from a GIT repository. What more could you ask for? The one thing that keeps me from giving it a 10 is that custom build packs are almost incomprehensible. We used one for a while because we needed cairo graphics processing. Fortunately, I was able to figure out a different way to do what we needed so that we could get off the custom build pack.

Heroku availability correlates pretty strongly to AWS US EAST availability. We had a couple of times where there was a Heroku-specific issue but not for the last 7-8 months.

The only issue that I ever have is that about 1 out of 20 deployments (git push) will hang and need to be cancelled and done again.

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.

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I've used it for many years without facing any major problem. It's not hard at all to get used to it, it's documentation is outstanding and simple. We are close to 2020 and I don't think most of the existing companies or startups should still face old problems such as wasting time deploying code and calculate computing resources.

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

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Be ready to pay a bit more than expected in the beginning if you're migrating from a big server. The application is probably not ready for the change and you have to keep improving it with time.

It's also important to consider that you can't save anything to the disc as it will be lost when your application restarts, so you have to think about using something like S3.

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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.

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Heroku is the more expensive option for hosting compared to some of the cloud platforms we investigated, but it's worth it for us because of the plug-and-play nature of Heroku deployment. We can be up and running in a few minutes and know with precision how much it will cost us each month to run the application, unlike Amazon Web Services where you have to go to great pains to configure it correctly or else you might end up with a shocking monthly bill. Overall, spending the time to configure Amazon Web Services or one of its competitors is likely the more affordable and powerful choice, because you have control over so many specifics of the configuration. But it also requires the burden of continuing to maintain and update your AWS instance, whereas with Heroku they take care of security fixes and platform upgrades. It's a great service and we are happy to pay the extra cost for the value-adds Heroku provides.

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• 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.

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• It has been critical in seamlessly operating our platform with runs all of our programs.
• It has been impressive with its ability to scale quickly which results in the growth of our work.
• It allows for tracking of different features which allows for quick problem solving which saves us time.