![]() It can pull Docker containers from the DockerHub or from an another Docker respository. It employs Docker containers to fulfil the tasks of a package manager. Mesos as an operating system, while addressing these problems, enables cluster-wide resource sharing among all processes. If currently no resource is available, tasks should be queued and as soon as some resources become available, they should be run according to their priorities. In addition to all these requirements mentioned above, the OS for the Datacenter must be able to schedule the tasks, which are going to run on servers, while negotiating with the resource agents about available resources in the cluster. On the other hand, if we go back to our imaginary big computer analogy, we don’t reinstall our applications, if we add or remove a new RAM module, or a newer CPU. You first need detach some servers that you want to remove from the current cluster and prepare them by undeploying the applications, and redeploying the new ones for the new cluster. This is bound to a tedious undeploy / redeploy effort. ![]() Think about it if you want to realign a cluster or resize it by shrinking or extending with new hardware. The resource management is indeed not the only problem with the static partitioning. We need still some orchestration tool for our containers. However, the question is still, how many of these containers would fit on a single machine and how do we achieve sharing resources efficiently among all these containers in our datacenter ? One docker container on a single server wouldn’t scale. We dockerize our applications as deployment artifacts. Today, we are working with Docker containers. We need some sort of layer between the hardware and our services, i.e an operating system for our WSC to manage resources in distributed systems. Instead, a single core can deal with multiple applications – in a time-sharing manner. However, if you think about conventional processors and operating systems, we don’t clusterize their processor cores while running our applications. You have to make precise predictions about the instance types, otherwise the resource utilisation will not be that efficient and misprediction ends up with idling instances which in turn cost money. If you’re working in the cloud, you still need to manage clusters or stacks with some automation tools (like CloudFormation on AWS), though, but the mindset problem still remains. If you consider that different services may have different resource demands and workload characteristics, for instance, an data analysis tasks may run twice in a day whereas a web service should be accessible 7/24, the problem with the resource management gets more tangled. We like building clusters, since it is easier to understand the workload and manage the resources available on them. It is 1-1 relationship between the server and the service itself. We always tend to build clusters of the same type of services running on a group of servers. Static partitioning is a kind of design pattern for system architecture. Apache Mesos, as a Datacenter operating system, copes with the same problems, but in cluster-scale. Thinking of the datacenter as a huge imaginary computer, a.k.a Warehouse-scale Computer, WSC, while providing a unified API to the outside and hiding the internal complexity of the infrastructure from applications, the requirements like resource sharing, process scheduling and package management converge to those which we already know from conventional computers and operating systems. The idea, Datacenter as a Computer is the driving motivation behind the frameworks like Mesos. Here is the header/oauth_signature code from OAuth.The need of orchestration of heterogeneous infrastructure, non-unified characteristics of the hardware on different server systems and fluctuating resource needs of software and the challenges in resource utilisation, urges us to rethink, how to deal with the vast amount of servers in our datacenters. There is complete OAuth 1.0 code at my fork of sfdc-oauth-playground (originally by Jesper Joergensen - I fixed a couple of bugs in Jesper's code and added the 'two-legged' OAuth flow).
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