If you develop or deliver cloud applications, you can benefit from automated knowledge fostering and exploitation. For instance, if you compose your app from multiple microservices, then you want to consider the app tainted from a security perspective once one of the microservices is found to be vulnerable. Likewise, if you bundle containers and cloud functions into a complex application, you would like to know upfront if, due to technical limitations in one small gear of the whole machinery, you will have a restricted choice of clouds to operate it. We will deliver a tutorial showing you how to accomplish that. Join us at the 9th IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2020) on November 7 to learn more!
The International Workshop on Serverless Computing (WoSC) has become an established forum to discuss new serverless technologies, ranging from application development to runtime concerns. Despite FaaS having raised the bar for not being billed for many hours of idle server processes, we are constantly thinking from an application engineering perspective into how the pay-per-use models could become even more fine-grained and fair. Thus, we are happy to announce that an appropriate autotuning approach has been accepted for being presented at WoSC6 in December 2020.
As applied sciences researchers focusing on new digital application designs implemented and deployed with multiple computing paradigms, we emphasise the practical nature of our contributions and the direct transferability to stakeholders in industry and society. In this context, we are happy to report that two system demonstrations have been recently accepted to be presented at the 21st ACM/IFIP Middleware 2020 conference running from December 7-11 in «virtual Delft». Read on for details.
For software development to succeed in Switzerland, that is to justify the relatively high development cost, it is essential to offer unique advantages in terms of timeliness and quality assurance. At Zurich University of Applied Sciences, we are proud to have contributed a number of tools for quality assessment and linting especially for cloudware – among others, the first Docker Compose checker, the first multi-Dockerfile linter, and the first advanced Helm and SAM consistency scans.
As we also teach Python programming to first-year engineering students, we consider it important to encourage the frequent use of linting tools. This blog post introduces such a service, naturally doubling as informal case study on how to deliver SaaS linting functionality without much effort through serverless technologies.
Software developers and service operators need log files to identify issues, detect anomalies and trace execution behaviour. The amount of generated log data is increasing, and often log files need to be kept for longer periods of time due to regulations. To preserve logs in a cost-efficient manner, they are typically compressed, at certain cost for running the compression, and then stored in long-term archives, again at certain cost per size-duration products. The goal is decrease both cost components, but there are certain trade-offs, for instance a highly efficient compression that consumes a lot of CPU but leads to better compression ratios, consuming less storage capacity as a result. The decision which compression tools and parameters to use is usually hardcoded. We present a smart knowledge-based advisor service to query goal-based adaptive compression commands to maximise savings.
ESOCC 2020 – the 8th European Conference on Service-Oriented and Cloud Computing – was originally scheduled to happen in April on the wonderful isle of Crete. Due to the pandemic circumstances, it will now run from September 28 to 30 as online event. We will highlight some of our recent work in an invited talk on «The Great Puzzle: Cloud Functions, Data, Services, Less Servers and More Insights».
Check out the conference website for more information on the technical programme, workshops and European R&D project presentations, and for pointers on how to participate.
Automation is one of the key concerns in cloud environments. The need to introduce effort-saving automation around the process of bringing new applications to powerful cloud environments ranges from developer tooling over testing and deployment to operational concerns. According to Nokia’s Eric Bauer, application service efficiency is the ratio of service output produced to resource input consumed, and automation can significantly reduce the input effort.
For several years, we have conducted research on the design, implementation and evaluation of microservice-based applications, as well as on the assessment of characteristics of the constituent software artefacts. Yet we were so far not present in the first two editions of the International Conference on Microservices. Needless to say, we are now correcting this for the third edition of the conference with a talk on Syn.
In the context of our «Smart Cities and Regions Services Enablement» efforts, space (and to some extent time) are important dimensions. First, the digital transformation has an inherent spatial component. While the research application field is pragmatically scoped to cities and regions, indeed it spans a wider spectrum from households, quarters, districts to countries and even supranational entities. The recent wave of «surface digitalisation» has primarily affected mobile citizens (pandemic apps) and workers (video conferencing in home offices) around the world. This increased the surface over the previous one that for most citizens encompassed e-banking, e-ticketing and e-tax declarations, with various degrees of voluntariness.