Azure Container Instances vs IBM Containers
Overview
🔥 Trending in Container Registry on StackShare
Hyper-efficient serverless on Kubernetes, powered by WebAssembly
Detailed Comparison
Managed Kubernetes offering to deliver powerful tools, an intuitive user experience, and built-in security and isolation to enable rapid delivery of applications all while leveraging Services including Watson, Weather, IoT, etc. | It is a solution for any scenario that can operate in isolated containers, without orchestration. Run event-driven applications, quickly deploy from your container development pipelines, and run data processing and build jobs. |
Managed Kubernetes with simplified cluster management from IBM; Cluster isolation choice (virtual - shared or dedicated compute and bare metal); Vulnerability Advisor introspects every layer in each image for known vulnerabilities and configuration weaknesses, as well as live container scanning; Enhance apps using 170+ services from IBM Cloud catalog; Integrated operational tools for monitoring and logging, or bring your tool of choice to ICCS; Secure to the core - edge nodes to minimize the cluster's attack surface, secured firewall, integrated VPN, identity and access management, trusted compute | Run containers without managing servers; Increase agility with containers on demand; Secure applications with hypervisor isolation |
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Stacks 32 | Stacks 37 |
Followers 49 | Followers 73 |
Votes 0 | Votes 0 |
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What are some alternatives to IBM Containers, Azure Container Instances?
Amazon EC2 Container Service
Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
Google Kubernetes Engine
Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.
Containerum
Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.
Azure Container Service
Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.
Docker Cloud
Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.
Amazon EKS
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
instainer
InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.
Docker Datacenter
Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment.
DCHQ
DCHQ delivers enterprise discipline to Linux Containers application lifecycle management. Available in hosted and on-prem versions, DCHQ provides the most advanced application composition framework extending Docker Compose through environment variable bindings across images, BASH script plug-ins that can be invoked at request time and post-provision and support for clustering for high availability across multiple hosts and auto-scaling.
Supergiant
Supergiant is a container management platform built on top of Kubernetes. Supergiant makes it easy to deploy and manage faster, and it reduces hardware expenses. Packing algorithm efficiently matches your overall CPU and RAM needs.
