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Based on our record, Apache Mesos should be more popular than Singularity Container. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I highly recommend checking out Singularity for your computational software. Running your software within containers allows you a lot of freedom, although it does create some complexity in regards to MPI based parallelization. Source: almost 2 years ago
Use a singularity image to contain what you want to deploy and give access on the jump host to the image. Permissions flow from existing OS permissions. https://sylabs.io/singularity/. Source: over 2 years ago
Singularity This is a HPC focused container system that has large industry support. You can use this to package finicky software that only runs on specific linux distributions or only allows for RPM/Deb installations. It is also another mechanism for users to bring their own software and it integrates fairly well with both Slurm and HTCondor. Source: over 2 years ago
> and it was then when they came up with a pretty cool name for their new OS — Singularity. Or, it was then when they (intentionally?) ripped off the name of an existing, open source, OS-related project. https://sylabs.io/singularity/. - Source: Hacker News / over 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 1 month 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 / 2 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 / 9 months ago
Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 1 year ago
Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 1 year ago
DockerSlim - DockerSlim (docker-slim): Don't change anything in your Docker container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) - d...
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
BOINC - BOINC is an open-source software platform for computing using volunteered resources
Rancher - Open Source Platform for Running a Private Container Service
Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...
HyScale - HyScale is an open-source application deployment tool that helps to get faster release cycles without manually writing tedious YAML files and auto-generates the K8s manifest files