Now let’s go behind the scenes. The video below illustrates containers in motion during a live hybrid cloud deployment and shows all the live machines, nodes and tasks operating in real-time across multiple environments concurrently. (For Docker experts, the illustration was built using Qlik Application Platform on Docker Swarm data). Each column represents a physical or virtual machine and each Qlik-engine task represents an instance of a specific service (or Docker container). Keep an eye on the moving Qlik-engine tasks:
The video shows a few different scenarios for Qlik-engine tasks:
Here we’re demonstrating how our architecture supports a vision for a platform that seamlessly spans and elastically scales across infrastructure. Only microservices that are needed by particular users are spun up by at any particular time. Different users can access various services in different environments – all within one unified solution.
And, because microservices are smaller components of the overall platform, it’s easy to swap them out with improved versions. This means continuous release cycles that deliver faster innovation to you. We’ve already designed Qlik Sense Cloud this way, and have been able to roll out new connectors and multiple other new features continuously as a result (read more about our cloud-ready, cloud-first development strategy here).
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To learn more about this topic, join our webinar with partner Spiceworks: Cloud Analytics: The Essentials on Getting Started