I am working with Gigamon Deep Observability Pipeline and Firemon, and I have been working with it for a year.
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I am working with Gigamon Deep Observability Pipeline and Firemon, and I have been working with it for a year.
The best features of Gigamon Deep Observability Pipeline include the ability to reduce data noise, although I need to check further.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Gigamon Deep Observability Pipeline needs to improve its performance.
I face issues with performance because we use SPAN, and the SPAN traffic is not good.
They need to improve their performance.
I have used Dynatrace for about one year.
The initial deployment of Gigamon Deep Observability Pipeline is straightforward when starting with new infrastructure. However, when you have to work with existing infrastructure, it becomes more challenging to deploy.
It usually takes time to deploy Gigamon Deep Observability Pipeline depending on the infrastructure device.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
Positive
I just use Gigamon Deep Observability Pipeline; I do not use NetScout, which is also a network packet broker.
I don't know about the price as I'm just working with the solution.
I don't have specific information on whether it was purchased on the AWS marketplace or somewhere else.
I am working with Dynatrace Operator.
I am also working with Algosec, Alluvio, CrowdStrike, Firemon, Gigamon Deep Observability Pipeline, and other solutions.
I think it's a good tool, and I am satisfied with it.
We have not stored cloud workloads with Gigamon Deep Observability Pipeline yet; we are still on-premises.
The technical support takes about one to two hours to respond, which is acceptable.
I am satisfied with the scalability of the product.
The interface is good.
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring.
The application I use is a script. My environment is a mix of technologies. I have many passionate people in my network who are on a journey in technology. I frequently use three pieces of the application: technology platforms and MatchFlow.
The challenge is monitoring the cloud network. In on-premises environments, monitoring is straightforward, as I can verify all packets and communications. However, due to the way access tools and public clouds work, it is sometimes impossible in public clouds like AWS and Google Cloud.
I have been using Gigamon Deep Observability Pipeline since 2013.
90,000 users are using this solution.
I use customer support only to change or RMA in the maintenance window.
The initial setup is straightforward and takes two weeks to complete.
Pricing depends on the equipment we need.
Overall, I rate the solution a nine out of ten.
