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.
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Apache Mesos is a strong choice for organizations looking for a scalable and flexible resource management system, especially if they have diverse workloads that require efficient orchestration. However, its complexity might pose a challenge for smaller teams or use cases that do not require such extensive features.
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Check the traffic stats of Apache Mesos on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Apache Mesos on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Apache Mesos's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Apache Mesos on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Apache Mesos on Reddit. This can help you find out how popualr the product is and what people think about it.
As many of you already know, containers are something of wonder. They exist since the old days of computing in a concept called OS-level virtualization. Since then, for their flexibility, they have been used in an orchestrated manner by many awesome tools, like Kubernetes, DC/OS, Apache Mesos and many more. This provides not only an abstraction layer on OS-Level but also enables a great deal of automation where... - Source: dev.to / 7 months ago
Erlang, OTP, and the BEAM offer much more than just behaviours. The VM is similar to a virtual kernel with supervisor, isolated processes, and distributed mode that treats multiple (physical or virtual) machines as a single pool of resources. OTP provides numerous useful modes, such as Mnesia (database) and atomic counters/ETS tables (for caching), among others. The runtime also supports bytecode hot-reloading, a... - Source: Hacker News / about 1 year ago
Apache Mesos, a robust cluster manager, excels at handling diverse workloads beyond just containers, offering flexibility for organizations with varying needs. - Source: dev.to / almost 2 years 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 / almost 2 years 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 / about 2 years 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 / about 2 years 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 โcontainer-nativeโ and had its own way of packaging and distributing... - Source: dev.to / over 2 years 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 / almost 3 years ago
Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 3 years ago
Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 3 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 / over 4 years ago
Cluster Modes: We can use a cluster in Standalone version or via a clustermanager either YARN or Mesos. - Source: dev.to / over 4 years ago
Apache Mesos, an open-source cluster manager originally designed to abstract CPU, memory, storage, and other compute resources away from machines, has long been a player in the realm of distributed systems and container orchestration. Despite its innovative beginnings and notable applications, the evolution of public sentiment surrounding Apache Mesos suggests a platform that, while respected and technically sophisticated, has struggled to maintain its standing in the rapidly changing field of container and cluster management.
Apache Mesos is frequently mentioned alongside other prominent container orchestration platforms such as Kubernetes and Docker Swarm. However, while Kubernetes has established itself as the de facto standard in container orchestration, Mesos is often perceived as a capable alternative, particularly for those seeking flexibility and resource abstraction across diverse workloadsโnot limited to containers.
Several distinctive features set Mesos apart in the competitive landscape:
Despite its technical merits, Apache Mesos has faced several challenges in gaining widespread adoption. The perception of Mesos as a complex and heavyweight alternative, compounded by the absence of a strong ecosystem akin to Kubernetes, has contributed to its gradual decline in market presence. The platform is often seen as having fallen behind as Kubernetes' expansive feature set, strong community support, and the backing of major industry players catapulted it into the limelight.
Public opinion also indicates a perception of Mesos as a platform that, while technically sound, could not keep pace with the rapid innovations in container orchestration primarily led by Kubernetes. This view is partially echoed in various technical discussions where Mesos is praised for its capabilities but cited for its failure to capitalize on industry momentum.
Today, Mesos is seen more as a niche solution rather than a mainstream choice. It continues to appeal to a subset of users with specific needs that align well with its capabilities, particularly those dealing with heterogeneous workloads or requiring a high degree of resource abstraction. However, for general container orchestration, Kubernetes has become the preferred choice due to its robustness, ease of adoption, and extensive community and enterprise support.
In summary, Apache Mesos remains a complex yet capable player in resource management and distributed systems, appreciated for its technical sophistication but overshadowed by the more agile and comprehensive Kubernetes framework. Those who delve into its capabilities find a powerful tool awaiting, albeit one that requires a tailored use case to truly shine.
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