Gigamon Deep Observability Pipeline Reviews

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.

We use the solution for traffic grouping and SSL detection. 

The tool's most valuable feature is the encryption feature. From a security perspective, the solution hasn't significantly strengthened our security posture. However, it has greatly improved performance by streamlining encryption processes and avoiding encryption at multiple layers. This has also simplified troubleshooting, as we can whitelist certain processes.

The traffic aggregation and transformation feature has significantly impacted our analysis process. The tool helps us investigate our network packet capture. Data aggregation occurs at the network packet capture level, enabling thorough investigation. However, the tool lacks intelligence in providing visibility or traffic flow analysis. Instead, we use other tools to enhance our visibility and analysis based on the captured data.

The Gigamon Deep Observability Pipeline should have a feature showing the traffic flow within its platform. Currently, customers have to use separate tools for monitoring, which is inconvenient. If it had its visibility feature, it would make monitoring easier and more complete without needing extra tools.

I have been using the product for three years. 

The tool is stable, and I haven't encountered any issues. I rate it a nine out of ten. 

Scalability depends on the specific hardware model deployed. In our case, we didn't encounter any scalability issues, and for virtualization, scalability was not a problem. Overall, I would rate the scalability of the Gigamon Deep Observability pipeline at around eight or nine out of ten, as it's straightforward to scale up in cloud environments by adding virtual machines.

On-premise deployments can have scalability challenges if the hardware is outdated or at the end of its lifecycle. Adding more capacity isn't always possible—you may need to replace or upgrade the hardware.

Support from the product has not been very good. They outsource their support to third-party vendors, making receiving direct assistance difficult. Instead, we have to go through intermediaries, such as partners or vendors, which can be challenging and may not always provide satisfactory support.

Neutral

The tool's deployment is difficult. There are multiple dependencies, especially with certificates. It didn't support some certificates, so we had to upgrade them. Also, from a design perspective, the physical setup changed significantly. We needed more cables and connections, and it wasn't a simple plug-and-play process. Implementing the product required downtime, usually around four to eight hours, which needed careful planning. Overall, it wasn't straightforward but more on the tough side. Understanding the current design, planning, and implementation took almost two months for us.

Two resources from our side were involved in deploying the product, and two resources from the third-party vendor were working on the deployment. The entire process, from planning to implementation, took two to three months. This duration included planning, designing, obtaining change approvals, and making necessary network changes.

I would rate the solution as expensive, around an eight or nine out of ten. There are other competitive solutions available.

Gigamon Deep Observability Pipeline has not significantly improved network visibility because it functions primarily as a packet broker. It does not provide visibility directly but instead requires integration with third-party tools to get the visibility. 

Overall, it's a good solution, but there's room for improvement, particularly in configuration competency and data visibility. Currently, there's a lack of data visibility directly from the appliance itself, which needs to be addressed. I rate it an eight out of ten. 

I use the solution for copying the data centers.

They should increase the solution's cluster capacity.

I have been using the solution for seven years.

The solution is stable.

The solution's software is easy to scale.

The solution's technical support is good.

Positive

The solution is straightforward to set up.

The solution is highly-priced. I rate its pricing an eight.

I recommend the solution to others and rate it an eight out of ten.

We mostly use it for network visibility, security monitoring, and performance monitoring.

The most valuable feature for improving network visibility with Gigamon is the packet filtering capability. This feature allows us to select and focus on the specific network traffic that we need for deep analysis, while also eliminating duplicates.

In terms of improvement, while the initial setup is not overly complicated, we did encounter a few issues.

I have been working with Gigamon Deep Observability Pipeline for a year.

Based on my one year of experience, the Gigamon solution has been consistently stable without encountering any problems.

The scalability of the solution is good. I would rate it at an eight out of ten.

In both cases where I needed support, I received prompt and helpful responses. I would rate Gigamon's technical support and customer service as a solid ten out of ten.

Positive

The initial setup of Gigamon is normal. While it is not particularly easy, it is also not difficult. There were some encountered errors during setup, but these were resolved with the help of email support. Overall, the process is manageable, especially with prior training and resources available.

The deployment time varied between one week for one instance and four days for another. The steps involved installing the project manager, deploying physical devices at the customer site, and configuring connections. A total of six staff members were involved, including collaboration partners and company personnel. Currently, there are around eight staff members certified for maintaining the Gigamon solution in the company.

Gigamon has significantly enhanced our network traffic analysis capabilities. Before Gigamon, we couldn't observe certain traffic types, but now we can see everything. Implementing Gigamon alongside other solutions like NDR or SIEMs allows us to redirect traffic effectively. It is particularly useful for both virtual and physical environments, making monitoring easier across different setups.

Using Gigamon's threat detection abilities has resulted in notable improvements. We have seen reduced bandwidth utilization for solutions like ADAAR and NDR due to more efficient filtering and traffic redirection. This optimization has led to better event management and reduced strain on network resources.

Implementing Gigamon into clients' environments typically involves providing training courses and materials to explain its functionality. This results in improved workflow efficiency for the IT teams, as they gain a better understanding and can effectively utilize Gigamon to enhance their environment.

I would recommend Gigamon Deep Observability Pipeline to others. Overall, I would rate it as a ten out of ten. It is a great product.

We use the solution for network management purposes.

The solution has the best hardware features. It doesn't have any obstructions or blocks.

The solution's filtering feature needs improvement.

We have been using the solution for more than ten years.

I rate the solution's stability a ten out of ten.

We have 30 solution users in our organization. I rate its scalability an eight out of ten.

The solution's technical support team is helpful.

Positive

We used Cisco earlier. Later, we switched to the solution for better hardware-switching functionality.

The solution's initial setup process is straightforward. It takes an hour to complete and requires four engineers to maintain it.

We implemented the solution in-house.

The solution's price is reasonable.

I recommend the solution to others and rate it an eight. It meets all the technical and functional requirements of our organization.

We primarily use the solution for mobile network monitoring. It's for traffic monitoring. 

The performance has been good. It's a very powerful tool.

It offers straightforward integration.

It is stable.

The initial setup is pretty straightforward.

The graphical user interface could be improved. They need a more friendly GUI.

It does take time to order the hardware. 

I've been using the solution for five years. 

It is a stable solution. We've never had issues. If they are very, very old (older than ten years), we've had some small issues. Those are at the end of their life. For the newer solutions, we almost never have issues. 

I'm not dealing with the scaling. I don't scale up or down. 

The solution is an interface for other tools. It's touched only by two engineers and maybe two to three people from operations. There isn't a big user base. 

We have an internal party for the support. We do not need Gigamon support. 

The setup is straightforward. It can take a while to order the hardware. However, the integration process is simple. 

The deployment can take two to three months, including ordering the hardware and configuring the environment. It takes less time to configure the virtual environment. We have a bare metal setup. 

The deployment varies from company to company. You need to understand the dimensions of the scope in order to get the right solution size. After the physical machine comes, it requires physical configurations and cabling, et cetera. 

Depending on the organization and the size of the deployment, you may need a handful of people to set it up. A small team can manage the setup.

We had a consultant that assisted with the setup process. 

We have witnessed an ROI in terms of time and cost.

We did look into other solutions based on feedback from colleagues. However, I did not try them. 

The version of the solution we are using varies. There are two types of environments. One for smart engines and one for a more basic model. 

This solution will make the team's life easier. I'd rate it nine out of ten. 

The only scenario where I used Gigamon was to take out the SSL inspection from my firewall and leave this inspection to Gigamon. 

It is a good product. It provides network visibility, which is important. Gigamon can bring some optimizations to my network. It is helpful for security inspection, and it makes my firewall work fast because my firewall doesn't have to do the inspection of the SSL connections, for example.

It only inspects a specific kind of traffic. There should be different kinds of use cases. 

I'm a systems engineer focused on Cisco, but I have Gigamon in my team. I don't have too much experience with this product, but I know this product.

I have also worked with Darktrace. Darktrace is more dedicated to OT traffic, and Gigamon is for the traditional one. One is dedicated to IT solutions, and the other one is dedicated to OT solutions, but both of the solutions have network analytics.

It's a good one. I would rate it an eight out of ten.

We use Gigamon for network visibility.

The most valuable feature is NetFlow.

I use the deduplication and header stripping features.

The security should be improved.

We are conducting a proof of concept at this time, so we are still evaluating it.

We are monitoring our data center and a server farm, and the stability is okay.

I have not yet had to try scaling, but as part of the public cloud, I think that the scalability will be very good.

The initial setup is not complex, but simple to perform.

I would rate this solution a ten out of ten.