Jellyfish is an Engineering Management Platform that enables engineering leaders to align engineering work with strategic business objectives. By analyzing engineering signals and contextual business data, Jellyfish provides complete visibility into engineering organizations, the work they do, and how they operate. Jellyfish Co, headquartered in Boston, states companies like SessionM (A Mastercard Company), Medium, and Toast use Jellyfish to optimize the allocation of engineering resources to…
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Spinnaker
Score 7.9 out of 10
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Spinnaker is an open source continuous delivery platform with a range of cluster management and deployment management features, originally developed at Netflix.
Jellyfish allows us to understand the allocation of our efforts without time tracking. We are also able to integrate this platform with our existing ticket tracking system and can see analytics instantly! Jellyfish works well for our teams because it has an opinionated view. Jellyfish understands that the metrics for an engineering team should help you understand what your organization values and is actively working on. We can use Jellyfish in a strategic way compared to other tools like this.
Spinnaker suits well for applications which are stateless and can adapt to an immutable architecture of deployment. But for applications which are stateful and cannot afford to spin up new servers for every deployment doesn't go well with Spinnaker. It can handle only deployments which are VM based and cannot support deployments to serverless architecture like AWS Lambda etc.
UI and navigation aren't very intuitive and require additional research before being able to use.
The individual developer metrics are not very useful and make the interface feel cluttered.
Overall, it takes time for the end-user to truly learn how to use the platform and navigate. There is so much information/data available that although the above is a con, we felt it still made sense, despite the learning curve.
The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better way to analyze and define better solutions to improve your software development processes.
• Pipeline Expressiveness • Self-Service/Override • Visibility of Client Teams • Operability of Client Teams - • High-Quality Integrations (AWS, IHP, Google) • Extensibility – (Ability to add code) • The maturity of Deployment Process • Speed/Ease of Onboarding