Best Container Orchestration Software for IBM Cloud

Compare the Top Container Orchestration Software that integrates with IBM Cloud as of October 2025

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This a list of Container Orchestration software that integrates with IBM Cloud. Use the filters on the left to add additional filters for products that have integrations with IBM Cloud. View the products that work with IBM Cloud in the table below.

What is Container Orchestration Software for IBM Cloud?

Container orchestration software is a platform that automates the deployment, management, scaling, and networking of containers in a distributed environment. These tools help manage the complexities of containerized applications by ensuring containers are running efficiently, scaled appropriately, and able to communicate with each other. The most popular container orchestration software uses tools like Kubernetes, Docker Swarm, or Apache Mesos, providing features such as load balancing, automated container provisioning, self-healing, and monitoring. These tools are essential for managing large-scale containerized applications and microservices, ensuring high availability, performance, and resilience. Compare and read user reviews of the best Container Orchestration software for IBM Cloud currently available using the table below. This list is updated regularly.

1

JFrog Pipelines

JFrog

JFrog Pipelines empowers software teams to ship updates faster by automating DevOps processes in a continuously streamlined and secure way across all their teams and tools. Encompassing continuous integration (CI), continuous delivery (CD), infrastructure and more, it automates everything from code to production. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions. Scales horizontally, allowing you to have a centrally managed solution that supports thousands of users and pipelines in a high-availability (HA) environment. Pre-packaged declarative steps with no scripting required, making it easy to create complex pipelines, including cross-team “pipelines of pipelines.” Integrates with most DevOps tools. The steps in a single pipeline can run on multi-OS, multi-architecture nodes, reducing the need to have multiple CI/CD tools.

Starting Price: $98/month

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2

Apache Brooklyn

Apache Software Foundation

Your applications, any clouds, any containers, anywhere. Apache Brooklyn is software for managing cloud applications. Use it for: Blueprints describe your application, stored as text files in version control, components configured & integrated across multiple machines automatically, 20+ public clouds, or your private cloud or bare servers - and Docker containers, monitor key application metrics; scale to meet demand; restart and replace failed components. View and modify using the web console or automate using the REST API.

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3

Portworx

Pure Storage

Run Kubernetes in production with the #1 Kubernetes platform for persistent storage, backup, DR, data security and capacity management. Easily protect, restore and migrate your Kubernetes applications in any cloud or data center. The Portworx Enterprise Storage Platform is your end-to-end storage and data management solution for all your Kubernetes projects, including container-based CaaS, DBaaS, SaaS, and Disaster Recovery initiatives. Your apps will benefit from container-granular storage, disaster recovery, data security, multi-cloud migrations and more. Easily solve the enterprise requirements needed to run data service on Kubernetes. Effortlessly offer a cloud-like DbaaS to your users without giving up control. Scale the backend data services powering your SaaS app without operational complexity. Add DR to any Kubernetes app with a single command. Easily backup and restore all your Kubernetes applications.

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4

Canonical Juju

Canonical

Better operators for enterprise apps with a full application graph and declarative integration for both Kubernetes and legacy estate. Juju operator integration allows us to keep each operator as simple as possible, then compose them to create rich application graph topologies that support complex scenarios with a simple, consistent experience and much less YAML. The UNIX philosophy of ‘doing one thing well’ applies to large-scale operations code too, and the benefits of clarity and reuse are exactly the same. Small is beautiful. Juju allows you to adopt the operator pattern for your entire estate, including legacy apps. Model-driven operations dramatically reduce maintenance and operations costs for traditional workloads without re-platforming to K8s. Once charmed, legacy apps become multi-cloud ready, too. The Juju Operator Lifecycle Manager (OLM) uniquely supports both container and machine-based apps, with seamless integration between them.

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