Master Thesis: Evaluation of Kubernetes alternatives for fog computing
Fog computing is an emerging technology which aims to solve limitations of cloud computing. Kubernetes (K8s) is currently the king of container orchestration systems within…
Research
Research-focused content, such as in-depth comparisons or posts by our Master thesis students presenting their work.
Automatic Multi-cluster Deployments and Services in Kubernetes
Learn how Multi-Cluster Kubernetes (mck8s) uses custom Controllers to vastly improve the multi-cluster experience and how you can deploy it.
Master Thesis: Evaluation of Function as a Service Frameworks for Kubernetes
OpenFaaS, Kubeless, or Fission? Which serverless function-as-a-service framework should you choose for Kubernetes? And why?
Evaluation of Caching Methodologies for Microservice-Based Architectures in Kubernetes
Joel Sandman's Master thesis evaluating caching methodologies (full-page and fine-grained caching) of microservices in Kubernetes.
Introducing ARVOS: Vulnerability Management Done Right
Today, Elastisys and Debricked announced the joint project ARVOS - using AI and eBPF to turn 53 vulnerabilities into 2 action points.
Evaluation of Cloud Native Message Queues
Kafka, NATS, or RabbitMQ? Kian Nassiri's master thesis compares message queuing systems. Which has best performance and scalability in 2021?
Benchmarking Istio 1.5.0 and Linkerd 2.7.1 (Master Thesis)
Erik Dahlberg wrote his Master Thesis with us at Elastisys, and successfully defended it in June 2020. In this blog post, we share the major…
Elastisys welcomes Fog researchers Li and Mulugeta!
Elastisys is proud over its strong academic background. Our close connection to world-leading research in cloud automation and optimization gives us and our customers an…
