CloudBees Reviews

We use CloudBees for deploying the code in higher environments, such as QA, C2, staging, and production.

CloudBees has made deployment faster compared to on-premise solutions. It also facilitates working with multiple machines, improving efficiency and performance.

I find the automation feature most valuable. CloudBees is highly scalable and supports both small and large teams. The deployment process is also faster when compared to on-premise.

There are connection issues with CloudBees, specifically between Sybase and CloudBees. We often encounter connection problems, and there are issues with the pipelines.

I have been working with CloudBees for one and a half years.

There are a lot of connection issues with CloudBees. We experience disconnections frequently.

CloudBees supports the deployment of large amounts of data efficiently across multiple machines.

I haven't gone through the technical support, so I can't comment on it.

Positive

Before CloudBees, we were using Jenkins on-premises. We switched to CloudBees because we moved our SQL servers to the cloud, which made deployment easier.

The initial setup of CloudBees took approximately fifteen to twenty minutes.

We used UrbanCode deployment to deploy it in different environments, but I was not directly involved in the implementation part.

I am not aware of the return on investment metrics for CloudBees.

I am not sure about the pricing, setup cost, and licensing for CloudBees. The team takes care of it.

I am not aware of any other solutions that were evaluated before choosing CloudBees.

I would recommend CloudBees to others because building jobs is much easier than with other solutions.

We are running over 200 applications in CloudBees. We integrate different DevOps tools like Vault, SonarQube, Nexus, Nexus IQ, and Ansible with CloudBees. We use the tool to create multiple pipelines, like multi-branch pipelines, declarative pipelines, standalone pipelines, and parameterized pipelines.

We upgrade CloudBees on a time-to-time basis. We create the Docker images and push them to Harbor using CloudBees. We also create nodes like the Ansible and Docker nodes to run the images on that particular node. For the dot net application, we configured the Windows slave machine on CloudBees.

CloudBees's user interface is very simple and user-friendly. If anyone knows a little bit about CloudBees, they can understand it better regarding where to go, how to go, how to create a pipeline, and what parameters they have to configure. Users don't have to dig too much. They just need to log in, and everything is there for them to read and operate.

I noticed that CloudBees runs too slowly because some applications run more than 50 pipelines. When we try to open it, it takes too long and shows an error message saying the service is unavailable. While raising a case with the vendor, the vendor asks us to share the support bundle logs for the pipeline. When we try to download the support bundle logs, it still shows me the service unavailable error.

When we tell the support team about our problem, we don't get the exact solution. The same issues keep repeating, and they ask us to upgrade the plug-in for many issues. However, upgrading the plug-in does not help fix the issue.

We are facing some issues for which we have tried everything, but it hasn't been fixed. The support team told us to upgrade the version to fix those issues, but I don't know whether that was correct.

Neutral

The solution's initial setup is simple for someone who knows CloudBees well.

We have an option called configuration management in the cloud. We have installed a Vault plugin and mentioned the Vault URL and the token in the configuration management. Using that, we have integrated CloudBees with Vault. For SonarQube, we installed a SonarQube plugin and then mentioned the URL, username, and password. Using that, we integrated SonarQube with CloudBees.

I would recommend the solution to other users. New users should see the plug-ins and features, regardless of their version. When you try to implement CloudBees in your environment, you should build the infrastructure based on how many applications CloudBees can support and how many pipelines you will run on those applications. This prevents CloudBee's performance from becoming slow.

Customers will get upset and give bad reviews if the solution's performance worsens. Users must keep these things in mind before implementing CloudBees in their environment.

Overall, I rate the solution an eight out of ten.

As a consulting company, I implement CloudBees for our customers to standardize and globalize the use of Jenkins. This helps in providing automation for DevSecOps by automating pipelines and controlling them. 

Additionally, I use it for traditional development projects and a security audit product, which provides ROI by automating audit processes.

CloudBees helps streamline DevSecOps by automating pipelines and providing standardization and control, thereby enhancing the efficiency of my clients. The security audit product offered by CloudBees is particularly beneficial in automating audit processes, which reduces the time developers spend on audits.

The most valuable features of CloudBees include its scalability for large teams and complex pipelines, advanced security features, and extensive integration with various tools. It also offers application delivery automation, pipeline release orchestration, compliance, and audit features, and provides visibility into deployment processes.

There could be improvements in the ease of use. A better GUI instead of code-based interaction would make it more accessible to a broader audience. Additionally, incorporating more AI features in the future could enhance usability as AI becomes more advanced.

I have been using CloudBees for approximately two and a half years.

CloudBees is very stable. Issues usually arise when recommendations aren't followed, such as overloading the server.

CloudBees scales excellently. There are no significant limitations, and it can be expanded as needed by adding more servers.

CloudBees customer service and support are very good. They respond quickly, and the support quality is commendable.

Positive

I have not extensively used alternatives because I'm more involved in managing implementations rather than being a developer. However, I acknowledge that there are alternatives available in the market.

The initial setup of CloudBees is straightforward if you have the right personnel. The integration of pipelines is what requires more time and effort.

A team approach is generally needed within a corporation, involving multiple people from different departments like developers, scrum masters, architects, and SysAdmin personnel to handle installation, setup, and integration.

The licensing model of CloudBees opens up a true ROI, especially with their security audit product. It offers significant benefits by targeting the DevOps process from a security audit standpoint.

The licensing model is considered good, and while CloudBees is not cheap, it is worth the cost because of its extensive benefits. The core product and security audit product in particular provide substantial value.

There are alternatives to CloudBees, such as those offered by GitHub and Amazon. In my opinion, CloudBees leads in integrating with Jenkins, and competitors are behind in this aspect.

My advice would be that before starting, align all groups required for the project to avoid delays. Plan which teams and pipelines to target first, especially since large companies have thousands of pipelines. Detailed project planning and resource alignment are crucial to moving quickly.

I would rate it an eight out of ten.

We use the product primarily for automation tasks. It handles various processes that don't require human intervention, making it a crucial part of our workflow.

One recent product feature that stands out is the pipeline explorer, which is providing significant value for us right now.

The platform could integrate better with other tools and support external tools directly.

I've been using CloudBees for about five years.

Over time, we have encountered product performance issues at large scales. However, at small to medium scales, there are no issues at all.

Overall, I rate the stability an eight. 

As long as you follow the vendor's recommendations on scaling, the platform performs well. Adapting to more complex organizational challenges outside those recommendations could be better. However, the support team does their best to handle the issues. 

I rate the scalability a nine. 

The VM-based infrastructure setup is easy. However, Kubernetes-based setup is difficult, even for experts who find bugs and report them back to the vendor.

To effectively use the platform, you need to know Jenkins, as the product is essentially a layer on top of Jenkins.

It's a powerful and flexible system, but it's important to implement proper guardrails from the outset because making systemic changes down the road can be difficult for your organization.

I rate it a nine out of ten.