Likelihood to Recommend 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.
Read full review K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
Read full review Pros Integration with JIRA. Integration with GitHub. Friendly UI. Easy to read. Read full review Complex cluster management can be done with simple commands with strong authentication and authorization schemes Exhaustive documentation and open community smoothens the learning process As a user a few concepts like pod, deployment and service are sufficient to go a long way Read full review Cons 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. Read full review Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally. The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively. Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking. Read full review Alternatives Considered 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.
Read full review Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
Read full review Return on Investment Easy setup and takes time to learn, but overall easy to use one you get the hang of it. Strategic roadmapping. Return on Investment increased. Read full review Because of microservices, Kubernetes makes it easy to find the cost of each application easily. Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it. Read full review ScreenShots