State Management for Cloud-Native Applications

Cloud-Native Applications

CAP-Oriented Design for Cloud-Native Applications

Brewer’s conjecture, and its resulting formalization as the CAP theorem, impose serious limitations on the consistency, availability and network partitioning tolerance characteristics of distributed systems. Despite its importance however, few works explicitly consider the implications of the CAP theorem in the design of applications, especially for applications that are designed natively for t...

Towards a Lightweight Multi-Cloud DSL for Elastic and Transferable Cloud-native Applications

Cloud-native applications are intentionally designed for the cloud in order to leverage cloud platform features like horizontal scaling and elasticity – benefits coming along with cloud platforms. In addition to classical (and very often static) multi-tier deployment scenarios, cloud-native applications are typically operated on much more complex but elastic infrastructures. Furthermore, there ...

Towards a Description of Elastic Cloud-native Applications for Transferable Multi-Cloud-Deployments

Elastic container platforms (ECP) like Docker Swarm, Kubernetes (k8s) and Apache Mesos have gotten more and more attention by practitioners in recent years [1]. Elastic container platforms fit very well with existing cloud-native application (CNA) architecture approaches [6]. Corresponding system designs often follow a microservice-based architecture [8, 5]. Nevertheless, the reader should be a...

Self-managing cloud-native applications: Design, implementation, and experience

Running applications in the cloud efficiently requires much more than deploying software in virtual machines. Cloud applications have to be continuously managed : 1) to adjust their resources to the incoming load and 2) to face transient failures replicating and restarting components to provide resiliency on unreliable infrastructure. Continuous management monitors application and infrastructur...