is a simple but effective solution for managing complex applications, and it has worked very effectively for many years. But in recent years, there have been some glaring problems that really make you think, is there a better way we could be doing this?
While a cluster management framework is adept at allocating resources and scheduling tasks, it does set limitations on the type of users that can be a part of the cluster. Basically, all jobs must be submitted through the same scheduler. This limits the types of frameworks and technologies you can use and eventually, the type of tasks you can perform.
In recent years, the popularity of parallel computing frameworks has increased, and it has become increasingly popular to run multiple frameworks on a single cluster. The advent of containerization technology has further made the previous monolithic architecture obsolete. And this is where technologies like Apache Mesos come in.
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Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It is one of the most popular systems for cluster management and orchestration in the market today. And this is all possible because of the versatility of its framework. The Mesos kernel runs on every machine and provides applications with API’s for resource management and scheduling across entire datacenter and cloud environments.
Mesos ranks no. 32 overall and no. 3 in the software category on the 2018 Inc. 5000 list.
Prominent users of Mesos include Twitter, Airbnb, MediaCrossing, Xogito and Categorize.