Kazuhm
Activeeon
Mesosphere DCOS
Luigi
DepHell
Metaflow
Rancher
Shipper.software
Azure Container Instances
Kubernetes
Google Kubernetes Engine
Apache Mesos
Helios
AWS Fargate
SaltStack
OpenShift Container Platform
Kazuhm SaaS platform unifies the compute resources of an organization from desktops, to servers, to cloud, to edge, creating a private grid to place and process containerized workloads, optimize IT costs, security, and performance.
Through an easy user interface, customers leverage Kazuhm today to simplify Kubernetes and the deployment of popular data science applications, build their own private distributed compute networks, run workloads on-premises enabling the lowest possible latency, and easily manage multi-cloud and hybrid cloud environments.
Kubernetes-Made-Easy -- Set up and cluster deployment is super quick with container placement and host monitoring intuitively simple.
Multi-Cloud, Hybrid-Cloud Management -- Escape from vendor lock-in and centrally manage all your Public Cloud Hosts for FREE.
Data Science On Demand -- Simplify deployment of Spark and Jupyter and process workloads both on-premise and in the cloud.
Offset Cloud Costs -- Get “Cloud Smart”. Process containerized workloads on your Linux and Windows desktops and servers to offset cloud costs.
Low-Latency Workload Processing -- Reduce latency and improve performance by processing your data on-premise or at the edge – when milliseconds count.
Distributed Computing Anywhere -- Connect your desktops, both Windows and Linux, and servers or even your edge devices to create a powerful compute fabric.
Kazuhm Azure Container InstancesNo Kazuhm videos yet. You could help us improve this page by suggesting one.
Based on our record, Azure Container Instances seems to be more popular. It has been mentiond 6 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.
Https://azure.microsoft.com/en-us/products/container-instances and as /u/re-thc posted, GKE Autopilot can be that for Google Cloud. Source: about 1 year ago
Containerize and deploy the application using one of the container delivery services on Azure like App Services, Container Instances, or Kubernetes Services. - Source: dev.to / over 1 year ago
Apache APISIX is an open-source Microservice API gateway and platform designed for managing microservices requests of high availability, fault tolerance, and distributed system. You can install Apache APISIX by the different methods (Docker, Helm, or RPM) and run it in the various public cloud providers because of its cloud-native behavior. In this post, you will learn how easily run Apache APISIX API Gateway in... - Source: dev.to / almost 2 years ago
Yeah datafactory isn’t appropriate for this task. There are custom df tasks you can script up in c# but doesn’t help you here. You have a couple of options but I would suggest azure container instances given your constraints. If you want to orchestrate it using the rest call option in df and long polling then status is the best but you can use logic app as well. ACI is serverless in the sense you maintain no... Source: about 2 years ago
Azure Container Instances may be your best fit: https://azure.microsoft.com/en-us/services/container-instances/. Source: almost 3 years ago
Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Mesosphere DCOS - Mesosphere DCOS organizes your entire infrastructure as if it was a single computer.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
