Best Container Orchestration Software for Linux - Page 2

Aurora runs applications and services across a shared pool of machines, and is responsible for keeping them running, forever. When machines experience failure, Aurora intelligently reschedules those jobs onto healthy machines. When updating a job, Aurora will detect the health and status of a deployment and automatically rollback if necessary. Aurora has a quota system to provide guaranteed resources for specific applications, and can support multiple users to deploy services. Services are highly-configurable via a DSL which supports templating, allowing you to establish common patterns and avoid redundant configurations. Aurora announces services to Apache ZooKeeper for discovery by clients like Finagle.

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.