GoCD vs. Selector Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GoCD
Score 8.0 out of 10
N/A
GoCD, from ThoughtWorks in Chicago, is an application lifecycle management and development tool.N/A
Selector Analytics
Score 7.0 out of 10
N/A
Selector employs machine learning and NLP-driven, self-serve analytics to provide access to actionable insights. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Collect: Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may…N/A
Pricing
GoCDSelector Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
GoCDSelector Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
GoCDSelector Analytics
Best Alternatives
GoCDSelector Analytics
Small Businesses
GitLab
GitLab
Score 8.8 out of 10

No answers on this topic

Medium-sized Companies
GitLab
GitLab
Score 8.8 out of 10
Sumo Logic
Sumo Logic
Score 8.8 out of 10
Enterprises
GitLab
GitLab
Score 8.8 out of 10
ignio AIOps
ignio AIOps
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
GoCDSelector Analytics
Likelihood to Recommend
9.0
(2 ratings)
8.0
(1 ratings)
User Testimonials
GoCDSelector Analytics
Likelihood to Recommend
ThoughtWorks
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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Selector
Selector Analytics has proven very useful for our SRE and DevOps teams. It addresses our concern of being able to monitor network health and gives good analytics for our needs. It also helps with problem identification quickly so that we can resolve any potential issues. Getting an idea of network health allows us to identify potential problems beforehand, and we can take measures to fix them.
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Pros
ThoughtWorks
  • 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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Selector
  • Network Health Monitoring.
  • Realtime Actionable Insights.
  • Identifying ways to fix problems.
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Cons
ThoughtWorks
  • UI can be improved
  • Location for settings can be re-arranged
  • API for setting up pipeline
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Selector
  • Dashboard Customizations would be good to have.
  • Integration with tools such as Slack.
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Alternatives Considered
ThoughtWorks
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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Selector
No answers on this topic
Return on Investment
ThoughtWorks
  • 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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Selector
  • Helped us identify problems faster.
  • Insights to identify ways to prevent future problems.
  • Helps us resolve problems faster.
  • Reduced our server costs - as we know when to scale up and when to scale down.
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ScreenShots