Datadog vs. IBM Instana vs. Virtana

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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Well-suited for an org with a large application base, where many microservices are created and destroyed daily. IBM Instana doesn't require any manual configuration, so deploying the Instana agents takes very little time. Data capture from IBM Instana is highly granular and can detect even short spikes lasting a few seconds. Not suitable for legacy applications where there will be rarely any changes. They can use a simpler monitoring mechanism. Also, highly dense data capturing can sometimes overload the information.

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Overall I would say that we have been very happy with Zenoss. It has been a great server monitoring tool. There are certain aspects that we would like to expand into, such as Capacity Planning, Network Performance Monitoring, and log analysis. We have coupled Zenoss logs with Splunk for external log management, but would like to start using some of the built-in analysis tools.

• 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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• Can monitor application(s) and system(s) with very large throughput of transactions by the second ( it gets everything !!!)
• Provide strong drill down for your applications and will tell you where the points of failure of an application's is ( servers , network , Databases , etc you name it )
• Very easy to set up and have it up and running when using the SaaS solution. There's an on premise solution which works just as well but requires more effort and preparation from an infrastructure point of view for your teams to implement.
• Continuously improve their features and their agents auto-update and keep up. All while not interfering with your applications.
• Let's you create your own dashboards and visualizations that can be tailored for different kind of users with the data collected.
• Create your own events and smart alerts so you can know on the spot if something is happening or is likely to happen that needs addressing on your applications / systems

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• Monitoring Windows, Unix/Linux, Infra apps, storage, virtualization, converge infra etc..
• Integrate with other monitoring tools and receive events for aggregation and correlation
• Integration with ITSM( SNOW) for auto ticket creation

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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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• It's very difficult to create custom dashboards, only a handful of scenarios can be visualized to dashboards.
• Extracting information from Instana to further analysis into excel for example is something that can be improved. Using an API to get data is very limiting.
• Open telemetry features which allow to send application data to Instana is not working as documented.

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• It can be tricky to set-up depending on what you want to do.
• They have their own proprietary way of visualizing metrics, which is clever but does have a slight learning curve.

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

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Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions

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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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IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.

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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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IBM instana support team is good but when we ask them for support, they keep asking same thing again and again and mostly there is no solution

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Anytime we've had issues they have been very responsive and professional.

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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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Instana is much more robust and modern compared to our previous product which was AppDynamics. We compared Dynatrace and Datadog and they were very similar in many aspects. The licensing simplicity with Instana and our existing relationship with IBM made it a much more enticing option and accelerated the adoption timeline

We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform Operations team. We have worked closely with Metricly to expand on their cost analysis capabilities, and plan to use them going forward.

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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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• Increase up time by early failure identification and performance optimization based on findings in Instana.
• Enhance user experience by mapping user issues with backend failures
• Automated actions help fixing known issues without human intervention
• increase support team efficiency by root cause analysis which decrease the incident solving time

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• We're a reseller/Integrator, so this question has a somewhat different meaning to our business. For us, Zenoss Cloud allows us to provide a single Cloud-based monitoring platform that can address virtually all our clients' use cases, dramatically simplifying our training and staffing requirements. Instead of training Engineers on several platforms, including the installation of physical hardware/software, we can focus on a single platform.
• The faster time-to-deployment and always-on cloud platform is a great fit for DevOps environments and newer software-defined data center platforms. The ability of Zenoss to support these environments solves what has been a major blind spot, slowing adoption of platforms that have been difficult to effectively manage with legacy monitoring platforms.
• For clients, the ability to consolidate from multiple prem-based tools to a single cloud-based platform is huge. Eliminating multiple licenses and ongoing hardware & administration costs can show a 1-2 year ROI.