Buildah might be a bit more popular than Apache Mesos. We know about 10 links to it since March 2021 and only 7 links to Apache Mesos. 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.
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 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 / 3 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 / 10 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
In my experience, not using docker to build docker images is a good idea. E.g. buildah[0] with chroot isolation can build images in a GitLab pipeline, where docker would fail. It can still use the same Dockerfile though. If you want to get rid of your Dockerfiles anyway, nix can also build docker images[1] with all the added benefits of nix (reproducibility, efficient building and caching, automatic layering,... - Source: Hacker News / 7 months ago
Buildah: This lightweight, open-source command-line tool for building and managing container images. It is an efficient alternative to Docker. With Buildah, you can build images in various ways, including using a Dockerfile, a podmanfile or by running commands in a container. Buildah is a flexible, secure and powerful tool for building container images. - Source: dev.to / 12 months ago
When I saw the title I thought it was going to be about `buildah` [1][2] Which allows you to create images using the command line to build them up step-by-step. [1] https://buildah.io/. - Source: Hacker News / over 1 year ago
Buildah is a "tool that facilitates building OCI images" of Containers. If it is not installed, podman system migrate will print out the warning:. - Source: dev.to / over 1 year ago
Technically, nothing stops you from building containers without running Docker's Linux VM. After all it's just a file as any other with a known format. I'm not sure though if it's worth the trouble. There are tools for building images other than Docker but I never used any of those and don't know if they are standalone or are wrappers around Docker. Buildah is one of them. Source: over 1 year ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Podman - Simple debugging tool for pods and images
Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...
containerd - An industry-standard container runtime with an emphasis on simplicity, robustness and portability
BOINC - BOINC is an open-source software platform for computing using volunteered resources
Crane - Crane is a docker image builder to approach light-weight ML users who want to expand a container image with custom apt/conda/pip packages without writing any Dockerfile.