groundcover vs. IBM Instana

Backend works best while the frontend (especially mobile) still drag behind, however all data can be fetched, stored, analyzed and monitored with some tweaks.

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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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• 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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• 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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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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Observability is core to any product, which is exactly what groundcover are doing best. groundcover was built for eBPF-based infrastructure and does it perfectly, while adding more core features such as frontend session reply and AI observability to complete the picture and up to a unified platform with alerting and dashboarding capabilities.

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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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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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groundcover is much more Kubernetes-native than both competitors, with deep eBPF-based understanding built into its core logic. Also the data stays in your end instead of being shipped externally, so no GDPR implications or other compliance issues - you control the data flow completely on your own cloud while they provide the backend and frontend to support it.

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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

• 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

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info