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Scalability
Apache Mesos is designed to scale to thousands of nodes, making it ideal for large-scale distributed systems.
Resource Isolation
Mesos uses containerization techniques (like Docker and Mesos containers) to provide resource isolation, ensuring applications run in their own secure environments.
Fault Tolerance
The framework is built with fault tolerance in mind. It continuously monitors the health of all nodes and can move tasks from failing nodes to healthy ones.
Multi-Framework Support
Mesos can manage multiple types of workloads through different frameworks like Apache Spark, Apache Hadoop, and Kubernetes simultaneously on the same cluster.
Resource Efficient
It provides fine-grained resource allocation, allowing multiple applications to share a single cluster, which leads to more efficient resource utilization.
Apache Mesos, a robust cluster manager, excels at handling diverse workloads beyond just containers, offering flexibility for organizations with varying needs.
– Source: dev.to
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about 2 months ago
Even though this article will be focused on Kubernetes I want to mention that there are multiple container orchestration platforms such as Mesos, Docker Swarm, OpenShift, Rancher, Hashicorp Nomad, etc.
– Source: dev.to
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3 months ago
I worked at several Bay Area startups, mainly in NLP and machine learning roles. I was part of a company called PowerSet, which was building a natural language processing engine and was acquired by Microsoft. I then joined Twitter in its early days, around 2010, when it had about 200 employees. I started on the AI side but transitioned to infrastructure because I found it more satisfying and challenging. We were…
– Source: dev.to
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4 months ago
When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts.
– Source: dev.to
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6 months ago
In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing…
– Source: dev.to
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7 months ago
Distribution of containers to servers, clusters, and data centers
Keeping applications up and running with the required number of instances
Upgrading applications without downtime
These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm…
– Source: dev.to
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about 1 year ago
Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines.
– Source: Hacker News
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almost 2 years ago
Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms.
– Source: dev.to
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almost 2 years ago
> Inexplicably so, I must admit. I guess that’s because Google largely won the “container wars”, being the first to market with a reasonably complete feature set, brand reputation and resources for continued development, offerings by most cloud vendors and also a large dose of hype in the form of developer talks, demos, press releases/newsletters, tutorials, learning resources and I guess even certifications. Of…
– Source: Hacker News
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over 2 years ago
Cluster Modes:
We can use a cluster in Standalone version or via a clustermanager either YARN or Mesos.
– Source: dev.to
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almost 3 years ago
