GoCD vs. Virtana

Previously, our team used Jenkins. However, since it's a shared deployment resource we don't have admin access. We tried GoCD as it's open source and we really like. We set up our deployment pipeline to run whenever codes are merged to master, run the unit test and revert back if it doesn't pass. Once it's deployed to the staging environment, we can simply do 1-click to deploy the appropriate version to production. We use this to deploy to an on-prem server and also AWS. Some deployment pipelines use custom Powershell script for.Net application, some others use Bash script to execute the docker push and cloud formation template to build elastic beanstalk.

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Overall I would say that we have been very happy with Zenoss. It has been a great server monitoring tool. There are certain aspects that we would like to expand into, such as Capacity Planning, Network Performance Monitoring, and log analysis. We have coupled Zenoss logs with Splunk for external log management, but would like to start using some of the built-in analysis tools.

• Pipeline-as-Code works really well. All our pipelines are defined in yml files, which are checked into SCM.
• The ability to link multiple pipelines together is really cool. Later pipelines can declare a dependency to pick up the build artifacts of earlier ones.
• Agents definition is really great. We can define multiple different kinds of environments to best suit our diverse build systems.

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• Monitoring Windows, Unix/Linux, Infra apps, storage, virtualization, converge infra etc..
• Integrate with other monitoring tools and receive events for aggregation and correlation
• Integration with ITSM( SNOW) for auto ticket creation

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• UI can be improved
• Location for settings can be re-arranged
• API for setting up pipeline

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• It can be tricky to set-up depending on what you want to do.
• They have their own proprietary way of visualizing metrics, which is clever but does have a slight learning curve.

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Anytime we've had issues they have been very responsive and professional.

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GoCD is easier to setup, but harder to customize at runtime. There's no way to trigger a pipeline with custom parameters.

Jenkins is more flexible at runtime. You can define multiple user-provided parameters so when user needs to trigger a build, there's a form for him/her to input the parameters.

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We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform Operations team. We have worked closely with Metricly to expand on their cost analysis capabilities, and plan to use them going forward.

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• ROI has been good since it's open source
• Settings.xml need to be backed up periodically. It contains all the settings for your pipelines! We accidentally deleted before and we have to restore and re-create several missing pipelines
• More straight forward use of API and allows filtering e.g., pull all pipelines triggered after this date

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• We're a reseller/Integrator, so this question has a somewhat different meaning to our business. For us, Zenoss Cloud allows us to provide a single Cloud-based monitoring platform that can address virtually all our clients' use cases, dramatically simplifying our training and staffing requirements. Instead of training Engineers on several platforms, including the installation of physical hardware/software, we can focus on a single platform.
• The faster time-to-deployment and always-on cloud platform is a great fit for DevOps environments and newer software-defined data center platforms. The ability of Zenoss to support these environments solves what has been a major blind spot, slowing adoption of platforms that have been difficult to effectively manage with legacy monitoring platforms.
• For clients, the ability to consolidate from multiple prem-based tools to a single cloud-based platform is huge. Eliminating multiple licenses and ongoing hardware & administration costs can show a 1-2 year ROI.