Best Container Orchestration Software for IBM Cloud

JFrog Pipelines allows software teams to ship updates quicker by automating DevOps processes in an efficient and secure manner across all their tools and teams. It automates every step of production, including continuous integration (CI), continuous deliveries (CD), infrastructure, and more. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

Kubernetes can be run in production using the #1 Kubernetes platform. It offers persistent storage, backup, data security, capacity management, and DR. You can easily backup, restore, and migrate Kubernetes applications to any cloud or data centre. Portworx Enterprise Storage Platform provides end-to-end storage, data management, and security for all Kubernetes projects. This includes container-based CaaS and DBaaS as well as SaaS and Disaster Recovery. Container-granular storage, disaster recovery and data security will all be available to your apps. Multi-cloud migrations are also possible. You can easily solve enterprise requirements for Kubernetes data service. Your users can easily access a cloud-like DbaaS without losing control. Operational complexity is eliminated by scaling the backend data services that power your SaaS app. With a single command, add DR to any Kubernetes application. All your Kubernetes apps can be easily backed up and restored.

Your applications, any cloud, any container, anywhere. Apache Brooklyn is software to manage cloud applications. It can be used to: Blueprints of your application are stored in version control. Components are configured and integrated across multiple machines automatically. You can also use it to monitor key application metrics, scale to meet demand, restart and replace failing components. You can view and modify the web console, or automate using REST API.

Enterprise apps will have better operators thanks to a full application graph, declarative integration for legacy estate and Kubernetes, and a full app graph. Juju operator integration allows us keep each operator as simple and consistent as possible, then we compose them to create rich topologies for complex scenarios that support complex scenarios with less YAML. Large-scale operations code can also be governed by the UNIX philosophy of "doing one thing right". The benefits of clarity as well as reuse are the same. It is important to be small. Juju allows you the option to use the same operator pattern across your entire estate, even legacy apps. Model-driven operations significantly reduce maintenance and operation costs for traditional workloads, without the need to re-platform to K8s. Once mastered, legacy apps can be made multi-cloud-ready. The Juju Operator Lifecycle Manager, (OLM), uniquely supports both machine-based and container-based apps with seamless integration.