Following the evolution and changes of the initial specifications that were introduced in RADON’s Deliverable D2.1 ‘Initial Requirements and Baselines’, our team released the Public Deliverable 2.2 ‘Final Requirements’.
Last week on July 2nd, André van Hoorn (University of Stuttgart) and his RADON colleagues Alim U. Gias, Lulai Zhu, Giuliano Casale (Imperial College London), and Thomas F. Düllmann and Michael Wurster (University of Stuttgart) ran a half-day tutorial on “Performance Engineering for Microservices and Serverless Applications: The RADON Approach”.
We are very happy to announce that the very first version of our project’s datasets are available on Zenodo and Github Open Access Platforms.
In the deliverable Deliverable 5.1 ‘Runtime Environment 1’, the RADON team provides a technical overview of the tools that comprise the Runtime Environment within this H2020 funded project.
The Joint CSE/QUDOS Workshop 2020 – 5th Workshop on Continuous Software Engineering and the 6th International Workshop on Quality-Aware DevOps – will be hosted virtually due to the COVID-19 pandemic, on September 15th, 2020.
The Deliverable D4.5 ‘Graphical Modelling Tool’ (version I) presents the initial results of the Graphical Modeling Tool (GMT) development and furthermore relates with the previous deliverables, D2.1 ‘Initial requirements and baselines’ and D4.3 ‘RADON Models I’.
We have tracked down some significant events for this year that hopefully we will be able to attend as a project.
Our team presents an initial version of RADON modeling approach consisting of abstract and deployable entity modeling layers that comprise a set of abstract and technology-specific modeling constructs addressing the RADON modeling challenges.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
The Deliverable D4.5 ‘Graphical Modelling Tool’ (version I) presents the initial results of the Graphical Modeling Tool (GMT) development and furthermore relates with the previous deliverables, D2.1 ‘Initial requirements and baselines’ and D4.3 ‘RADON Models I’.
Our team presents an initial version of RADON modeling approach consisting of abstract and deployable entity modeling layers that comprise a set of abstract and technology-specific modeling constructs addressing the RADON modeling challenges.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Infrastructure-as-code (IaC) is the DevOps tactic of managing and provisioning infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.
Nowadays, estimating performance models parameters of cloud systems presents several challenges.
Microservices based architectures are increasingly widespread in the cloud software industry.
In recent years, a plethora of deployment technologies evolved, many of which were following a declarative approach to automate the delivery of software components. Even if such technologies share the same purpose, they differ in features and supported mechanisms.
Emerging serverless computing technologies, such as function as a service (FaaS), enable developers to virtualize the internal logic of an application, simplifying the management of cloud-native services and allowing cost savings through billing and scaling at the level of individual functions.
Serverless computing is considered to be a “disruptive innovation” that has changed significantly software development and ICT operations.