Datadog vs. Octopus Deploy

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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Octopus Deploy is well suited for our requirements of deploying across multiple environments with one consistent release. We are saving a lot of time by not having to package and move release files around. Our release process is more efficient and consistent with automation. There are some parts that we could probably perform with existing tools such as DevOps and there are one or two features we have to workaround to fit for our setup such as the step templates to install websites. These are minor in our opinion.

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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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• Octopus integrates nicely with TeamCity, our build server.
• Octopus uses the same deployment packages across environments and makes it easy to track their progress across those environments.
• Octopus makes it easy to handle configuration across environments which is usually a particularly difficult task.

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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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• In the past has been somewhat .net focused but that has been changing in recent times
• Would be great if community licenses for NFP organizations were perpetual - but in saying that I appreciate that Octopus does provide my organization with a community [license]. Not all organisations do
• I can’t think of any other

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

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Would be a 10 except for the retirement of the free Community Edition.

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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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Octopus Deploy has greatly helped us to improve our reliability and frequency of our deployments and given us the confidence to deploy much more often, with a direct benefit to customers. Cross-platform support and release to Cloud require more focus on the product side.

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Octopus Deploy is a software that runs very effectively, is easy to use, does not require such a high learning curve, provides the necessary tools to carry out the functions it offers, making it a very flexible software, it also allows that can be configured according to the needs of the user and provides integrations with other very advantageous tools since they are carried out in a very favorable way.

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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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Octopus Deploy support has always been there for us, even when using the free tier, we get responsive hands-on help. We haven't needed to use that level of support since the documentation is clearly written, and help is readily available within the interface itself. Using Octopus Deploy is a truly joyful experience.

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

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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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There aren't really any competitors in the land of ASP.NET. Deployment is too ad-hoc. Other tools exist that have massive downsides, like Web Deploy. Most aren't even supported anymore. You could argue that containers (Docker) are a competitor, but containers cannot be used for everything and solve a somewhat different problem. Octopus Deploy is even able to help with containers. To us, Octopus Deploy was really the only really polished solution.

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Great support from professional services.

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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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• Allows us to deploy to our fleet quickly and without interruption to service
• Can roll back to previous releases quickly, allowing us to back out of breaking changes in the worst-case scenarios.
• Integration with several targets has allowed us to explore new platforms for our products, such as Docker in AWS ECS.

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