Tag: multi-cloud

Explainable Deployment of Software to Computing Continuums

Modern software applications need to accomodate many technical and business demands. Over the past decade, the dominant industry trend has been to decompose applications into smaller microservices and to deploy them as composition atop various cloud platforms and devices. More recently, more suitable abstractions were proposed to build and describe such software. Software becomes adaptive, liquid and osmotic within a continuum of computing resources, ranging from high-end data centres (e.g. HPC) and multiple clouds over fog/edge/middlebox systems to sensors and end user devices including machines and mobile phones.

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Lambada update: Transforming Python code into cloud functions for multiple FaaS providers

For rapid development, deployment and testing of applications based on many cloud functions, code transformation tools are on the rise. With a process called “FaaSification”, they turn code into cloud functions by following annotations or decorators specified for developers. Termite for Java, Node2FaaS for JavaScript, and Lambada for Python are representative examples of this new class of tools, related also to other overlay tools such as PyWren. This blog post summarises the recently added software features for Lambada.

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CCGRID 2019 took place in Larnaca, Cyprus in May and, though reporting on it with a bit of a delay, of course, we could not miss it. Team member Panos Gkikopoulos was there to present our paper, Extensible Declarative Management of Cloud Resources and Providers, at the CROSSCLOUD workshop.

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Openshifter: Migrating Applications Between Openshift Instances

Migrating an application from one cloud to another is a challenging activity and one must be mindful of both potential incompatibility and data loss when migrating. It is also, however, often necessary, so a proper way to automate the process and ensure a working deployment on the other end is certain to be a handy tool to an administrator. Since we have been working with multi and cross cloud environments and application portability (see paper and blog), we present a tool to automate this process for Openshift.

As far as use cases for migration go, the easiest example to visualize is moving an application from the development environment to production. Minishift, the single node local development version of Openshift is a great way to develop and test a new application, isolated from the risks and expenses of exposing it to the outside world. But at some point, this application will need to be recreated on a production Openshift instance and while doing this ‘traditionally’ is easy for small applications, it can become cumbersome for larger cases, especially if parts of it were configured using the graphical dashboard.

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CloudCom’18 – The 10th IEEE International Conference on Cloud Computing Technology and Science

From the 10th until 13th of December 2018 in Nicosia, Cyprus, the 10th IEEE International Conference on Cloud Computing Technology and Science took place. This slightly delayed conference report briefly recapitulates the event from our subjective participation perspective.

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Extending cloud management platforms with cloud functions

Through several years of research on the subject of cloud functions, researchers including ourselves have gained a thorough understanding of the advantages and disadvantages of function-based application development. Along with increased maturity of FaaS, a more specialised consideration of potential use cases is needed to filter out the ones where the technology shines compared to the ones where significant weaknesses become apparent and other technologies, perhaps even in combination, would be a better fit. This early experience report informs about how we have deployed cloud functions around an existing cloud management platform as a variant of the well-known solar system approach of introducing microservices around monoliths.

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