Moogsoft Reviews

I was contacted by someone regarding PeerSpot because she learned I was working with the Moogsoft tool.

I have been working with the Moogsoft tool for the last 3 years, and we handle the monitoring aspects with it.

I am currently working with Moogsoft, which is a monitoring tool, and we monitor different alerts, including DevOps alerts, Cisco alerts, DPA Dynatrace alerts, and Iceland alerts. We also create separation for servers and CM and IDs.

I also work on ServiceNow for incident management, receiving alerts from networking devices, and we monitor incident numbers before routing tickets to the appropriate tech teams.

I find Moogsoft beneficial for separating tasks, so during activities, users will not receive any alerts, allowing them to work silently without distraction.

Moogsoft helps manage alert fatigue by consolidating various alerts into a single portal instead of monitoring them across different devices, allowing team members to own alerts and monitor them efficiently, which benefits the whole team.

Moogsoft offers various benefits, including incident response, reduced noise alert fatigue, increased availability and uptime, helping companies gain a better understanding of their IT environment, proactively addressing issues, and improving services.

We can improve Moogsoft by optimizing its noise feature, normalizing events, customizing deduplication rules, enhancing correlation accuracy, and improving incident response and automation.

Introducing machine learning and AI features would enhance Moogsoft, streamlining IT operations, incident detection, and response management.

I have been working on the Moogsoft tool for the last 3 years.

Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime, which the Mulesoft team addresses.

I have escalated issues to Mulesoft's technical support, who work on resolving behind-the-scenes problems.

Moogsoft offers various pricing plans based on organizational needs, ranging from a free plan at $0 cost per month to an enterprise plan with custom pricing.

I would rate the technical support from the Mulesoft team around a 7 out of 10 based on my experience.

Neutral

ROI depends on how we integrate our IT operations with Moogsoft, as it can reduce our workload, downtime, and resolution time effectively, ultimately delivering better solutions based on mean time to resolution.

Machine learning works based on past collected data, so we can develop a system that functions as an automated bot using this data.

With the use of AI technologies such as ChatGPT and other Gen AI solutions, if we combine these with machine learning tools, it will lead to increased efficiency and reduced processing time in application systems.

I work on the backend to address any issues with Moogsoft, such as URL access problems or credential bugs, ensuring everything operates smoothly.

The advantage of Moogsoft is that it consolidates various alerts into one monitoring tool, which reduces time and allows for real-time and anomaly detection, while its disadvantage includes limited built-in observability and complex setup requirements.

On a scale of 1-10, I rate Moogsoft a 9.

We have deployed the tool. It’s an event correlation tool. Unlike tools like Splunk, which have their agents running on servers to send telemetry data and logs, Moogsoft operates differently. It collects data published from various telemetry tools and then handles the correlation. For example, if a web server goes down, Moogsoft will generate an alert indicating that the server is down. However, this alert alone may not provide meaningful insights. If the web server is down, there might be other related issues, such as database connection problems or API failures. This can overwhelm users with numerous alerts.

Moogsoft addresses this by filtering the noise and consolidating alerts into a single situation report. This way, users won’t be bombarded with alerts. Instead, they’ll receive a clear overview of the problem, identifying where it lies and what components are affected. This allows the Site Reliability Engineer to understand the situation better. Once a situation is identified, you can define workflows. A workflow might involve an automated repair plan that outlines specific actions if certain conditions are met. If action A is performed, then feedback will dictate the next steps. We have deployed Moogsoft for an automobile client and a bank in Singapore.

We have observed improvements since integrating Moogsoft into our system. Initially, we had various monitoring tools, including Datadog, OpenSearch, CloudWatch alerts, and Prometheus. Each team was working in silos, using different tools without a cohesive view from a business perspective. Once we integrated these tools and allowed data to flow into Moogsoft, we could establish workflows correlating events, clarifying our monitoring efforts.

Moogsoft excels as an event correlation tool but requires substantial data to provide effective insights. On the first day, it may not offer comprehensive visibility. Dynatrace provides immediate insights upon deployment, making it superior in terms of initial usability. While it captures essential data, it may lack deeper visibility into interactions between servers, only showing which IPs data is sent to.

Moogsoft becomes much more functional as more data is onboarded. Its machine-learning capabilities take about one to two weeks to identify similar past situations. 

Moogsoft has a feature called cookbooks. A cookbook is a concept introduced by Moogsoft that allows you to define actions based on specific conditions. For example, if an alert or event comes up from a server, you can set a time window of sixty minutes for any events from that host or custom fields to be grouped. This means you can organize alerts not only based on the values of the hosts but also the timing of the events.

In my experience with production and infrastructure cases, one issue often leads to another, creating a domino effect. Moogsoft helps visualize this by providing a clear view of how the problems began and where they ultimately led, giving you a comprehensive understanding of the current situation.

Another key feature is the journaling capability for SREs. When someone resolves a ticket by following certain steps, Moogsoft’s AI or machine learning can detect similar situations in the future. It then shows past incidents and the solutions that have been implemented, which have received positive feedback from my clients. It reduces the mean time to resolution, making the overall process more efficient.

Moogsoft's integration options are somewhat limited. It primarily relies on webhooks and APIs for data input, meaning external systems must push data to Moogsoft; it cannot pull data independently. If I want to connect CloudWatch or Prometheus to Moogsoft, I have to write custom code on the Prometheus side to send data through Moogsoft’s APIs or webhooks.

Other monitoring tools like Splunk and Dynatrace typically have agents that reside on the system, automatically collecting and sending data. This difference can create challenges for teams needing seamless integration. Although Moogsoft has developed some plugins, such as those for Grafana and Zabbix, that are ready to use, they don’t have comprehensive support for every tool. 

Splunk has developed an AI assistant that can answer your queries and everything else. Moogsoft lacks that. Dynatrace has this AI component that will identify things on its own. On the other end, Moogsoft, you must set up the workflow. You have to come and set up the cookbooks.

ServiceNow also has good event correlation. Splunk is fantastic with the event correlation.

I have been using Moogsoft for one and a half years.

Moogsoft is highly scalable, thanks to its API and webhooks, which allow various software to send data. This means it can collect data from multiple sources. However, a downside is that you must write integration code for each data source. For example, integrating with tools like PingID requires developing a specific code to send the data.

While this adds extra work for the deployment team, the scalability remains strong. Unlike some platforms, such as Splunk, where knowing Python is necessary for certain integrations, Moogsoft allows users familiar with Java or other languages to write code and send data easily.

Prior to the acquisition, Support was good. After the acquisition, things became a bit slower, which seems to be common in many organizations. For instance, we experienced similar delays in the first few months when Cisco acquired the platform. Issues like unpatched vulnerabilities in new packages created challenges from a security perspective. Although it was a managed environment, access was restricted.

Neutral

When comparing Moogsoft to ServiceNow, one major issue is that Moogsoft lacks widespread understanding and effective marketing, leading to a perception of it being somewhat buggy and different. ServiceNow has implemented event correlation in a user-friendly way, adhering to industry-standard guidelines. Its terminology, such as workflow, definition, and knowledge base, is straightforward, making it easier for users to navigate. Moogsoft, however, uses terms like cookbooks and recipes, which can create confusion for new users.

From a deployment perspective, Splunk offers a straightforward installation process. Deploying Splunk is as simple as a few clicks in the UI, even on Windows Server. Moogsoft requires very specific system configurations, such as a particular Red Hat and Java version, which can be outdated and pose security risks. This makes deployment challenging for Moogsoft admins. Other tools have adopted more flexible deployment options, including Docker images, allowing for easier integration and reducing dependency concerns. 

The deployment of Moogsoft was quite challenging, primarily due to its Java dependency. It relies on an older version of Java, which created compatibility issues with our servers that are set up with the latest version. Moogsoft utilizes several services, including MySQL, NGINX, Apache Tomcat, and potentially Jenkins for scheduling. To ensure proper functionality, you must have the correct versions of all these services running on your server, complicating the setup process.

The documentation can be extensive, and it can be tedious to ensure everything is correctly configured. If Moogsoft had implemented their solution using Docker, packaging all components together, it would have significantly simplified the installation process. A Docker image would allow for easier deployment and management, reducing the complexity of handling multiple dependencies.

We could deploy Moogsoft on day one, but several functionalities did not work as expected. To address these issues, we had to raise support tickets. It took about seven to eight working days to resolve everything and fully operationalize the system.

We were the consultants deploying for this automobile client. We needed help from Moogsoft support.

When comparing pricing, Moogsoft is significantly more affordable than Splunk and ServiceNow. Moogsoft offers an on-premise solution with a one-time licensing cost, eliminating the recurring fees based on data ingestion that tools like Splunk impose. This structure is advantageous, as it allows businesses to avoid skyrocketing costs associated with the amount of data processed.

Splunk and similar tools charge based on the volume of data ingested, which can lead to increased expenses, especially as data volumes grow. This has led to the rise of tools like Kribble, which helps deduplicate data to manage licensing costs.

While promoted more recently, Moogsoft's SaaS solution still operates on a pay-as-you-go model based on data volume, which can be costly for customers. In contrast, with Moogsoft, once you own the software, the ongoing costs are primarily for support, much like owning a Dell laptop, where you pay for the hardware and only incur additional costs for maintenance or support. It provides a clearer understanding of expenses and is generally more favorable from a customer perspective.

If you manage anything on the managed server, you might have to update the OS separately from that one.

Overall, I rate the solution a seven out of ten.

We were looking to replace the product we have, which was Moogsoft. However, the project got canceled, so we are not looking anymore. While we are looking for another solution, as of right now, management decided to keep it. So maybe in the next financial year, it will be a topic again. Still, we are not pursuing it anymore.

The operations are familiar with how to use Moogsoft, so they are keeping it. We want to increase the incident response, reduce the number of tickets, and integrate Moogsoft with ServiceNow.

We need to have a total in-house hosted solution, whereas Moogsoft is providing less frequent updates and moving more functionality into the cloud, which doesn't align with our objectives.

The product roadmap doesn't align with our roadmap. We need more frequent updates and a total in-house hosted solution. They need to enhance the admin module, provide more analytics capabilities, and maybe more machine learning algorithms.

As far as I know, it has been in use for the last eight years.

The incident response times could be better, and we have problems with data AI reduction.

We need more user-friendly, more admin features. Technical support takes some time to change something in the system.

Technical support is available, however, it takes some time to change something in the system. We would prefer a product with more admin features.

Neutral

They decided to keep Moogsoft for some time; however, they are not set to use it indefinitely.

I don't know about pricing.

We researched products like ServiceNow IT operations management and Splunk.

For fast-moving companies that need quicker response times or security-based companies, they might find it a bit slow.

I'd rate the solution seven out of ten.

I find the unsupervised learning algorithms for noise reduction particularly valuable. The algorithm's ability to identify and reduce noise is a feature we initially liked. The anomaly detection feature is excellent for maintaining system uptime as it helps identify problems quickly.       

The unsupervised learning algorithms in Moogsoft are valuable, but the learning processes, run book creation, and neural feedback areas could be improved.

I have been working with Moogsoft for the past three years.

The scalability of Moogsoft has been excellent for us.

We haven't needed much support due to our capable in-house team, but improving documentation would be beneficial.

Neutral

Previously, we used various products for event management, but Moogsoft stands out with its unsupervised learning capabilities, unlike rule-based systems used by other products. This AI-driven approach is a key differentiator, making anomaly detection more efficient.

The initial setup of Moogsoft is straightforward.It typically took us about six weeks to deploy initially, involving two or three system admins. I would rate it around nine or ten on a scale of ease. 

We have a dedicated team of system admins who handle day-to-day maintenance and support for our environments.

Since implementing Moogsoft, it has significantly reduced our mean time to detect issues by about sixty percent, which has been a significant cost-saving benefit. 

As for pricing, Moogsoft recently updated their pricing model, and we're still evaluating it. It's an area where clarity is needed with the new alert-based pricing model.

Regarding integration capabilities, Moogsoft integrates well with our IT service management tools, although we haven't explored all of its connector options extensively. I would definitely recommend Moogsoft to others due to its effective incident management processes enhanced by AI, especially in noise reduction and through its unsupervised learning cookbooks.

I would rate Moogsoft nine out of ten for its performance and impact on our operations.

People use Moogsoft to filter out alerts in their NOC and IT service management.

The solution has an AI engine that reduces false positives and gives some context to some tickets. The tool's event correlation and AI are its strongest parts. They have a thing called the Situation Room that also helps put all different events related to one situation into one place. Instead of having several different events looked at by several different people, you put all correlated events into one big problem, which will then be dealt with as a single thing.

The solution's initial setup is complex, and it should be made easier.

I have been using Moogsoft for five years.

I rate the solution’s stability a nine out of ten.

Moogsoft is an enterprise-grade solution that is more suited for enterprise businesses.

I rate the solution a seven out of ten for scalability.

I would have earlier rated the solution's technical support a four out of ten. However, since it's owned by Dell now, I rate the support a six out of ten. Dell's got a lot of money and a lot of support opportunities. Earlier, Moogsoft was a small company that couldn't afford to have such a big back office.

Neutral

The solution's initial setup is complex, and it should be made easier. I think that's changed a little bit in the last year or so. It's definitely improved. The solution should continue to improve its initial setup.

On a scale from one to ten, where one is difficult and ten is easy, I rate the solution's initial setup a three or four out of ten.

The solution’s deployment took a few months.

The solution is very good from a business impact point of view, but it's quite expensive because it's an enterprise-grade solution.

On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a six out of ten.

The solution's integrations are out of the box, and it is easy to integrate the tool with many technologies through its APIs. Moogsoft is always deployed on the cloud. Since it's a SaaS-based solution, it's cloud-delivered but also deploys to a hybrid or on-premises situation. The solution attaches itself to any environment size, but it's delivered via SaaS.

The solution has room for improvement, but it's a pretty good technology. It does very well in delivering a big impact for businesses. Now, since it's owned by Dell and has the financial backing, it'll go from strength to strength. It's built by two very experienced co-founders who have used this type of technology before and were very much ahead of the curve. I'm still implementing the solution, and it is a platform that can deliver to something as big as HSBC.

Overall, I rate the solution a seven out of ten.

We are a service provider. We have the product under an MSP license. We offer this solution to our customers internally within the group and company. We are also using it for our few business units.

The solution's core functionality is noise filtration, which is pretty robust. We've implemented this to interconnect multiple tools. It acts as alert consolidation for multiple internal products. It is a centralized plug-and-play solution.

The solution needs to enhance the interfaces with multiple software. It should also improve the available number of dashboards for visualization. Usually, you need to integrate another third-party solution for dashboarding and visualization. The dashboard is very limited, which also needs optimization.

I have been using Moogsoft for two years. We are using the cloud version of the solution.

The product is stable.

I rate the solution’s stability an eight out of ten.

Moogsoft is on the cloud. It is scalable as much as you want. You don't need to do anything because it's in autoscaling mode. If you need instances to grow further, they're available to you readily.

We are piloting with three teams and four customers internally and externally, respectively.

I rate the solution's scalability a nine out of ten.

Moogsoft's support is very much available on very short notice. We have faced no problem regarding the support, but they are still based out of the UK. They should grow further and enhance to cover the time zones. They're based in the UK, preferably covering the Middle East and Europe time zones.

Positive

We did some lab-based POCs. ScienceLogic and LogicMonitor, but we haven't tested it in a customer environment. Now, we are trying Splunk and New Relic.

Moogsoft doesn't require anything because we get the instance and deploy it for multiple tenants in our instance. It is plug-and-play. You do not need to do a lot of stuff on your own. Also, it's easy to integrate.

Compared to other similar products in the market, Moogsoft remains at a relatively competitive level. However, when assessing its position among comparable AI ops solutions, it tends to be more cost-effective for customers. Selling a standalone AI ops solution proves challenging as many products integrate AI ops into their existing offerings, particularly within monitoring solutions. Consequently, while creating a core AI ops solution is difficult, it remains advantageous cost-wise compared to other products.

I rate the product’s pricing a six to seven out of ten, where one is expensive and ten is cheap.

Our maintenance is specific to our instance offered to our customers and customers. On the platform side, we lie totally on Moogsoft. It has a very good support. We do have our weekly meetings with their technical team. If any issues or support are required, their support is readily available on very short notice.

We have a team of ten developers to take care of the solution.

We are a managed service provider. We are offering the solution as a platform to our end customers. We are very aggressively proposing this solution to our end customers and hoping to grow the overall user count on the platform.

Moogsoft is straightforward to use and deploy. I recommend the solution.

When it comes to visualization, most products have visualization, which helps us to see the underlying components inside a particular service or application. It should troubleshoot the stack part where the problem lies, and visualization is easy to understand.

Moogsoft still lacks visibility in aspects like Service Map creation. Although it can be created, extra effort is required to develop such functionalities, unlike other tools that offer readily available solutions. This absence becomes a common differentiator, wherein Moogsoft falls behind other products that highlight their capability to pinpoint problem areas and affected components and conduct root cause analysis. This gap places Moogsoft a step behind the competition.

Overall, I rate the solution a seven out of ten.

We work with most of the large enterprises, and I usually recommend Moogsoft to any company which is undergoing a digital transformation where we manage their end-to-end infrastructure and stack.

Regarding Moogsoft's automation, it is not too bad for minimizing errors.

I am also satisfied with Moogsoft's incident detection.

Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically convert alarms directly into tickets or incidents, Moogsoft adds a middle layer where multiple alarms can be aggregated into one incident. Moogsoft's strong AI capabilities also allow it to correlate similar alarms automatically based on past experiences.

The solution comes with a collaboration feature. This feature allows team members to communicate and work together on various issues. If there are ten incidents, then ten chats will be open.

The solution comes with features like PRC, designed to streamline alarm flow, reduce noise, and prevent alarm flooding. These features are particularly beneficial when used with a basic understanding of network operations. It has a time-based algorithm that continuously learns from alarm flows. When the alarm flow reaches a certain limit, it collects all alarms together based on historical data. This is particularly useful during major events such as power outages, where alarms could flood. In such cases, the product activates to hold all alarms for a certain period, anticipating a fluctuation rather than immediately triggering the alert manager.

The tool needs to improve its support. It appears that the support responsiveness from Moogsoft is not aligned with the severity of the incident. Instead of proactively addressing issues, customers have to chase Moogsoft for resolution. In Moogsoft, unlike other tools like Splunk, the process follows a step-by-step sequence. You need to start each process in a specific order, typically following a sequence. 

I have been working with the solution for five years. 

The tool is scalable. About 70 customers were able to run on the tool's single instance. My company has customers spread across various industries, including FMCG, and  hospitality. 

I have used Netcool and Splunk before, and each tool has its own capabilities, advantages, and disadvantages. Splunk is great for heavy data processing, while Moogsoft excels in integrating with various tools through intelligent plugins. With Moogsoft, you install the plugin and provide basic login credentials for integration. Every tool has its unique strengths and experiences. There's no situation where Moogsoft can do something that other tools can't, or vice versa. For example, Moogsoft offers intelligent alarm correlation through situations, while Netcool provides impact policies for coordinating different alarms.

Installing Moogsoft requires moderate effort, as it's not overly complex but does demand some expertise. Users should understand databases and Linux file systems well to ensure a smooth installation process. While it's not overly complicated, having an experienced individual handle the installation is recommended. 

The tool's maintenance is smooth and easy. 

I rate the product an eight out of ten. 

Moogsoft is mainly used for internal network and storage monitoring, event and alert management, and as an observability platform.

Moogsoft's most valuable features are event management, correlation, and observability.

Moogsoft is dependent on external products to do orchestration and SOP-based functionality.

I've been using Moogsoft for three-and-a-half years.

Moogsoft is stable.

Moogsoft is scalable.

Moogsoft's technical support is good.

Positive

The initial setup was straightforward.

Moogsoft's licensing is consumption-based, so the price may increase depending on the environment.

I would give Moogsoft a rating of eight out of ten.

I'm using this tool as a MoM tool, manager of manager. We have integrated a lot of monitoring tools, enterprise monitoring, infrastructure monitoring, and database monitoring tools with Moogsoft to provide one unified console to the NOC guys so that they don't need to jump around on multiple tools to view the issues. Through Moogsoft, using a single layer and a single screen, they can see all the issues and they can act. 

Further, Moogsoft is integrated with the ticketing tool ServiceNow. We are converting those alarms into tickets for further actions on resolving the issue.

We are developers, integrators, and consultants. We do everything.

There are AI features in Moogsoft. Moogsoft has one wonderful feature that allows you to convert multiple alarms into situations. Generally, all other MoM tools get the alarms, and then convert it into an incident directly. There is one extra layer they have added before converting any alarm into an incident. Suppose there are multiple alarms that are somehow all related to a single source of issue. It converts all the alarms into a single situation, which then gets converted into an incident.

Suppose your database is down, and all the applications associated with the database are also down. Moogsoft has its own AI capability as well as some inputs from us as well. We can give the inputs, and once the database goes down, then whatever alerts will come from that source tool, monitoring tool to Moogsoft, it will automatically put all those alarms into a single situation and convert it into an incident. Eventually, it is reducing your ticket count and extra burden on the system. That is one of the best features.

Moogsoft has room for improvement. They are very much dependent on open-source technologies like RabbitMQ message bus. They are using open-source databases, Apache Tomcat, NGINX. If we face any issues with Apache Tomcat or the RabbitMQ message bus, then we do not get support from them. We have to troubleshoot it ourselves.

Moogsoft is already using most of the AI features that they can use. I might not be knowledgeable enough in terms of the AI that can be used by Moogsoft in the future. All of the features are the very best. 

Gartner is a website that keeps track of the latest technology and trends, and they have said that Moogsoft is built for the requirements of the next decade. They have already included all the features that could and should be added. They are innovative. They have 70 patents. If you look at the other AI tools like Splunk and all, they don't have as many patents as Moogsoft.

I have been using this solution for more than four years. I am currently working with Moogsoft. It is deployed on-premise.

The solution is very stable. You will hardly face any issues like file corruption or an alert being missed out by the system. These things don't happen with Moogsoft. It is very smooth in processing the alarms. I haven't seen any component of Moogsoft malfunction. These things are not happening with Moogsoft.

The amount of people required for maintenance just depends. One person can handle it because most of these things are open sources. It doesn't take much time in the deployment, so obviously there aren't many processes that we have to take care of. It's not a wide tool in terms of the components. This tool has limited components, and all those components are working full-fledged. 

If they have hands-on experience with Moogsoft, one or two people could easily handle it. They could be admin. We have a team of 20 people because we have 50 customers. If we only had 10 customers, then 5 people could manage it.

Development is also directly proportional to customer requirements. Based on the requirements, we can decide the manpower. If the customer is not very interested in development in Moogsoft and wants to use the basic features of Moogsoft, we don't need someone for development. We just have it installed, and they can use it.

Companies always draw a line for the limitation of a tool because they want to save themselves from any further issues. It depends on the hardware you are using and what you're using to run the core processes. It depends on if you have high bandwidth, the memory you're using, the GBs and terabytes of the storage you're using, and if you are using an advanced capable processor.

I cannot give you an exact figure because I've never seen any issue or any limitation with scalability. We are using it in a shared environment as a task. We are using the tool as a service. We have more than 50 customers and millions of alerts are coming in every day, and we have never faced any issues.

Technical support is very good.

The initial setup is very straightforward. You just have to untar the given file. It will create all the directories itself, and you just have to run the process. It will intercommunicate with all the related processes and will start them itself.

Deployment should not take more than two or three days, even if you are very new to the Moogsoft. If you have hands-on experience, it will hardly take one day.

We are a service provider company, and we use Moogsoft for different customers. We don't use it for ourselves.

I would rate this solution 7 out of 10. 

They have so many AI features, but those features aren't as impactful as Moogsoft demonstrates in their videos or as they suggests you use them. "If you use this feature, this much noise reduction will happen." We have observed that this doesn't happen on the ground. 

Tempus is a time-based algorithm feature. Suppose if some flooding has happened or something goes down. Obviously, hundreds of thousands of alerts will be there in your system. Tempus will activate and will put all those alarms into a single situation. We activated it, but then we found its behavior is not normal. Sometimes, it doesn't behave perfectly.

Whatever AI capability they have included, it still requires lots of improvement in their algorithm.

My advice is to be an expert in JavaScript, because this is the main language, programming, or rules language that we use, which Moogsoft supports for development.

My advice is don't learn Moogsoft only. Look around and learn about the freeware, open-sources software which Moogsoft is using, like RabbitMQ because in case RabbitMQ goes down or its message bus or database malfunctions, you will not get support from Moogsoft.

They can help you, but only to some extent only. If the database is corrupted and it requires some expert advice to troubleshoot it, there will be no support from Moogsoft.