Struggling to choose between Apache Mesos and Knative? Both products offer unique advantages, making it a tough decision.
Apache Mesos is a Network & Admin solution with tags like cluster-manager, resource-isolation, resource-sharing, distributed-applications, open-source.
It boasts features such as Efficient resource isolation and sharing across distributed applications, Scalable, Fault-tolerant architecture, Supports Docker containers, Native isolation between tasks with Linux Containers, High availability with ZooKeeper, Web UI for monitoring health and statistics and pros including Improves resource utilization, Simplifies deployment and scaling, Decouples resource management from application logic, Enables running multiple frameworks on a cluster.
On the other hand, Knative is a Development product tagged with kubernetes, serverless, containers, open-source.
Its standout features include Serverless containers, Event-driven scale to zero, Autoscaling, Revision tracking, Traffic splitting, Service discovery, and it shines with pros like Simplifies deploying and running serverless workloads on Kubernetes, Built-in autoscaling, Open source and cloud agnostic, Integrates with Istio for traffic management, Active community and contributor support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It sits between the application layer and the operating system on a distributed system, and makes it easier to deploy and manage applications in large-scale clustered environments.
Knative is an open source Kubernetes-based platform for deploying and running serverless workloads. It simplifies event-driven or scale-to-zero architectures on Kubernetes clusters.