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Traefik Enterprise serves as an ingress controller for Kubernetes infrastructure and virtual machines.

I appreciate Traefik Enterprise's automatic service discovery feature because it truly helps with deploying containers for our Kubernetes workloads.

The best features Traefik Enterprise offers include automatic service discovery and excellent integration with GitOps. The automatic service discovery helps us with automation, meaning we don't have to perform any manual work when deploying workloads; this goes a long way in making developers and engineers more efficient at their work, allowing them to focus their attention on other tasks. Regarding the GitOps aspect, it integrates very well with Argo CD, but I cannot give more details due to some NDAs.

Traefik Enterprise has positively impacted my organization by making myself and my colleagues more efficient, allowing us to invest more time in other tasks because we are comfortable knowing how Traefik Enterprise operates and the automation we implemented with it.

Traefik Enterprise could improve with support for other products, but it's fairly complete. I don't have any specific improvements to mention because we have everything we need.

I have been using Traefik Enterprise for almost six years.

Traefik Enterprise is stable.

Traefik Enterprise is scalable, and we didn't have any issues with uptime.

Traefik Enterprise's customer support is very good. I would rate the customer support 10 out of 10.

Positive

We previously used Nginx Proxy Manager, but we evaluated Traefik Enterprise and saw that it had more features and was better suited for more customers.

We have seen a return on investment with Traefik Enterprise because we saved time.

Before choosing Traefik Enterprise, we evaluated Nginx Proxy Manager among other options.

My advice for others looking into using Traefik Enterprise is to be patient; although the initial onboarding is somewhat complex depending on the environment, once Traefik Enterprise is set up, it will be easy to manage, and the automation itself is worth it. I have no additional thoughts about Traefik Enterprise. I rate this review 10 out of 10.

My main use case for SnapLogic is migrations from Boomi and other SQL databases to SnapLogic. Regarding the SQL database, I'm not going to disclose the customer name, but I can give you some highlights. It was financial data for a Fintech organization. They wanted to move from their PNL and GL data. All these migrations and the benefits data, which they have to send to the third-party system, moved from another iPaaS system to SnapLogic because of delays and latency, which was the biggest issue for them. So, we built up plenty of data lakes and migrated the data back to SnapLogic.

Similarly, for the SQL database, it wasn't only the latency, but they were also facing issues where people were unnecessarily writing a lot of triggers. They didn't think that was the correct way because there was no alignment or streamlining in terms of process design or the reusable storage of technical resources. They wanted to identify and streamline the entire process, as well as build some kind of reusable process. I have also found that SnapLogic, or perhaps Boomi or MuleSoft, whatever the customer is going to choose, has some kind of edge in terms of processing data quickly and with a reduced amount of latency. I don't know what changes they are going to do with the help of agent AI, all the pipelines, and DataBricks, and all these things, and how they are going to put the data in perspective within the application. That is the use case I can tell you.

The best features SnapLogic offers include the different integration patterns you can quickly adapt. Manipulation is easy with the data. When I'm saying easy, I mean that there are a lot of ways to get different data sources into one place, and then you can do a lot of customization. It is easy as well. For a person who doesn't have that kind of exposure, they can quickly adapt. There is no space to say, 'I don't know this system.' If your basics are clear, then you can quickly adapt. So, it is a quick adoption from SnapLogic's side. The second thing is that the kind of features they are providing for the different integration patterns is really unique.

You can build a lot of quick JMS connections. There are inbuilt connections for the likes of SuccessFactors, Salesforce, and Oracle where you can get the data from the ERPs. Then you can do the data manipulation and map the data to the destination system, and send the data to SFTP, to an S3 bucket, or via the API. You can build the API as well within that suite, and then manipulate the data over there. Accordingly, you can utilize the RBAC system in a better manner.

SnapLogic is coming with a lower latency rate when it comes to a huge number of pipelines and the huge terabytes of data they need to read and then they need to write. Especially if they can look towards Apache Iceberg or DataBricks or anything Spark, in terms of how these systems handle the kind of data they are going to send. So there is a quick turnaround to processing the data for any of the downstream systems.

I believe that SnapLogic impacts the organizations I work with as a contractor. It is really useful for them, especially for new use cases that are quickly adapted with a quick turnaround. It is very useful in terms of testing and realization. Especially when there are unique features in SnapLogic, the entire chain and transport management system for sending the whole config from development to quality and from quality to production is really fantastic. This gives a different kind of aspect to the customer as well, to quickly make changes in development with a quick turnaround. In no time, they can send the data from dev to production.

The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have different kinds of functionality. They all have similar kinds of problems in different domains. But as I mentioned, SnapLogic has a little bit of an edge because of its functionality and inbuilt functions for Fintech, as compared to the others. This I can say firmly.

They need to assess themselves. In this day and age, as I mentioned earlier, terabytes of data need to be read and then have a quick turnaround for downstream systems, especially for GenAI or any LLMs. Then they can definitely improve themselves because right now, most things, in fact, the GenAI, ChatGPT, Cloud, Anthropic, and so many others, require data quality with perfection and more precision. But for all of that, we require a data pipeline that can be read without latency and without any delay, for any reason. So if they can improvise that over the cloud, that would be really fantastic and a really good achievement for them. Not only for them, but for the customer as well. Then no matter what, people cannot leave SnapLogic. They need to be there with the snaps.

I don't know much about that. I haven't referred to the documentation that much. But support is something that is pretty obviously required, rather than just providing videos. Technical support is required. The roadmap also needs to be very clearly mentioned and specified. Be specific in which domain they are going to do what, if they are coming out with that roadmap. Otherwise, overall, if they are going to improve their entire system as I mentioned earlier, for the reusability concept and the data pipeline concept, then they will definitely do some magic in the future.

From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data. So that is why I chose six. From the Fintech point of view, if you are asking on a scale of one to 10, then I would give it an eight out of 10. It is a huge one. There is always a margin for improvement, so that is why I chose eight. If you talk about HR, sales, or any other domain, there is a significant amount of improvement required.

I have been working in my current field for close to 18 years.

SnapLogic's scalability is huge. There is a huge amount of scalability. That is why I put it on the scale of six. There is an area for improvement. Once that area of improvement is already done, or about to be completed, then it will definitely be a nine out of 10.

Customer support for SnapLogic is neither bad nor good. It is okay, normal. Sometimes it is very good, sometimes there is no response.

Neutral

I did a lot with Boomi. I love Boomi a lot, along with SnapLogic. Where we switched to SnapLogic, it wasn't from Boomi. The customer chose SnapLogic over the traditional way of working, such as a SQL database, Oracle database, or some other iPaaS solution, which was not Boomi. They switched because the traditional solutions did not fit their commitment or approach to making an ecosystem out of the cloud. That is why they switched to SnapLogic. Everywhere I have worked where SnapLogic is used, they were all in Fintech. Fintech has huge, secured, and very cumbersome numeric logic. They don't have a huge population within the organization, but they require very complex calculations which they would to complete easily. This allows them to connect with it over many years. So if they would want to switch from or to SnapLogic, they need the entire ecosystem as it is: process optimization, approach, documentation, etc. That is why they chose SnapLogic.

I have evaluated other options. Honestly speaking, I gave the suggestion for both Boomi and MuleSoft.

I am a contractor, so I can work. I know this. I did not work with a partner, reseller, or any kind of relationship for anyone.

Time was definitely saved with SnapLogic. Money, I don't know. I'm not part of the pricing and setup, so I can't say. I can't comment on that. It is not that fewer employees were needed, but time was definitely saved, and our process was optimized with the help of SnapLogic. That I can say for sure.

Before using SnapLogic, I had a different opinion.

I would rate SnapLogic a six on a scale of one to ten.

I don't really remember if you are talking about metrics, but I can give you one example where we built around eighty odd interfaces out of three hundred interfaces that needed to be migrated from Oracle. It worked really well. It was fantastic in terms of processing, latency, data manipulation, and the downstream system. For one interface, we had to send it to more than thirty places in different time zones with different scheduling. We heavily customized those interfaces, and it really works well.

I would tell others looking into using SnapLogic to use it. Take it, use it, and use it. You can't go beyond SnapLogic. SnapLogic is not going to give you any kind of bad experience, definitely. Because any solution that has a huge amount of scalability, there is a probability that a solution SnapLogic is not going to feel uncomfortable for any customer expectations.

Good luck. Do great things and have great achievements. I would love to see and then move myself also onto SnapLogic's new roadmaps. You will definitely do some wonders with SnapLogic.