Struggling to choose between OpenFaas and Apache Mesos? Both products offer unique advantages, making it a tough decision.
OpenFaas is a Development solution with tags like serverless, functions, autoscaling, automated-deployment.
It boasts features such as Serverless functions, Auto-scaling, Multiple language support (Node.js, Python, Ruby, C#, etc), Open source, CLI for easy deployment, Prometheus metrics, Works with Docker & Kubernetes and pros including Easy and fast to deploy functions, Scales automatically based on load, No servers to manage, Pay only for what you use, Integrates well with Docker and Kubernetes.
On the other hand, Apache Mesos is a Network & Admin product tagged with cluster-manager, resource-isolation, resource-sharing, distributed-applications, open-source.
Its standout features include 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 it shines with pros like Improves resource utilization, Simplifies deployment and scaling, Decouples resource management from application logic, Enables running multiple frameworks on a cluster.
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.
OpenFaas is an open source framework for building serverless functions. It has advanced functionality for auto-scaling and automated deployment of functions.
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.