The latest update to the open source Cyclops Framework, part of our ongoing work to advance metering and monetization across cloud platforms, brings yet more new features and improvements:
Small fixes to the versioning/rollback features
New estimation and forecasting engine
The new forecasting engine is now built into Cyclops’ UDR service and can generate individual or global usage forecasts and cost/revenue estimates based on the existing usage data and be used to evaluate new pricing models.
A full-featured CLI client for the forecasting engine was also created to make using the new functionality more intuitive.
The Service Prototyping Lab will offer three in-depth presentations and hands-on sessions on several of its research topics and recent results in September and October. We hope to demonstrate valuable work and get feedback for our future research.
FI, September 2-4, 2019: «Summer School on Software Evolution: From Monolithic to Cloud-Native» @ Inforte Tampere – More information
CH, September 10, 2019: «Datengestützte Qualitätsanalyse von Microservice-Artefakten in der Softwareentwicklung» @ CH Open Workshop Days Rapperswil (in German with co-instructor support in English) – More information
DE, October 25, 2015: «CI/CD-integrated quality assessment of microservice implementation artefacts» @ Software QS-Tag Frankfurt – More information
Looking into a possible post-cloud world, we see mentions of different computing paradigms, many of them based on decentralised structures to overcome scalability and user control limitations. Among them is blockchain-as-a-service (BCaaS or BaaS), mimicking the platform-as-a-service (PaaS) user experience for both application providers and consumers. In PaaS, providers first sign up and subscribe to the platform, then design and build their applications and deploy them to the platform where it is executing either permanently or upon incoming network requests or other event triggers. Additionally, developers may advertise their apps at technology-specific hubs such as AWS SAR or Helm Hub. Consumers then adhere to the application terms, which might require a sign-up at the provider site, before being able to invoke and make use of the application.
From June 24 to 27, an academic double-conferences has been taking place in Prague: IC2E 2019, the venerable seventh IEEE International Conference on Cloud Engineering, and ICFC 2019, the recently spun off first IEEE International Conference on Fog Computing. The Service Prototyping Lab at Zurich University of Applied Sciences contributed a tutorial on Kubernetes application engineering on the first conference day. The important research-inspired message conveyed is that Kubernetes is a nice container management platform, but not a cloud platform per se, and characterised by a lack of tools to ensure simplicity and quality in applications, and still emerging understanding of how to design applications in a technically and economically optimal way. This blog post reports on some of the conference discussion topics as a service for those who could not attend..
The eternal software circle of life continues to pose non-trivial challenges. Developers write code, run tests, push and/or deploy, perhaps leading to more tests, and finally see their software used in production. Eventually, they might see everything working out correctly or rather not, as indicated by log messages, user complaints and other side channels, and even more eventually, when nothing else gets in the way, they might even attempt to fix the problem at any code location which might have a probability of contributing to the issue.
We are announcing the latest release of the open source Cyclops framework, as part of our ongoing work to advance metering and monetization across cloud platforms, bringing improvements and new capabilities:
meaningful logs, now able to identify errors more effectively and
provide more information on generated records
checkpointing, with the ability to roll coin rules back using git
versioning and re-create affected records
In a previous post, we showed how it’s possible to trigger a Knative service when a database update occurs using the DebeziumKafka Connect plug-in connected to Knative; here, we continue this work by describing how we connected a Nextcloud file storage service to Knative, triggering a Knative service/function when a file is uploaded to Nextcloud.
While hybrid, multi- and cross-cloud applications are on the rise, even for scenarios in which purely public cloud deployments are planned, having an equivalent private cloud stack available is useful in many ways. With the relative portability of popular open source cloud stacks, this is rather trivial to accomplish. For many large cloud providers, there are commercial solutions like Microsoft’s Azure Stack, IBM’s Cloud Private, Oracle’s Cloud Native Framework, Google’s Anthos (née CSP), Alibaba’s Apsara Stack and Amazon’s AWS Outposts (as well as Greengrass for Lambda and other specialised offers). Yet sometimes, these are not an option for technical or business reasons. In this blog post, alternative options are discussed.
The past May 7th one of the multiple AWS Summit of this 2019 was held at IFEMA in Madrid and, of course, we were there to scout for important technological trends which may see adopters in need of research!