Elastisys was founded in 2011 as a spin-off from Umeå university. True to our academic roots, we are always involved in research and development. We enhance the open source cloud-native field with secure solutions, so customers innovate faster.
Founders and seniors from Umeå university
8 PhDs in cloud and computer science
Grounded in today, developing for tomorrow
Open source and
knowledge sharing
Elastisys was founded in 2011 as a spin-off from Umeå university. True to our academic roots, we are always involved in research and development. We enhance the open source cloud-native field with secure solutions, so customers innovate faster.
Founded 2011 by Erik Elmroth and Johan Tordsson, both with the Autonomous Distributed Systems Lab at Umeå University.
Erik Elmroth is a member of Wallenberg AI, Autonomous Systems and Software Program (WASP) Program Management since 2015.
Members of the Swedish node for accelerating innovation and research in cybersecurity by the Research Institute of Sweden (RISE).
Elastisys contributes back to the cloud-native open source community with security-focused solutions to foster innovation.
Scaling and Shifting CPU and GPU Use to Reduce Energy Consumption and Peaks for Data Centers
November 2022 – August 2023
Idle cloud resources waste energy, money, and other resources. The goal of this project, a collaboration between Elastisys and Elastx, is to reduce this waste. It is done in two ways that work together. First, we dynamically scale resource allocation to resource needs. Second, we shift usage from electricity load peak hour times. This makes better use of electricity during off-peak hours.
Our results are promising. As a demo, we set up Jupyter to use Kubernetes resources on the Elastx cloud infrastructure. Jupyter is a very common data science tool in machine learning and artificial intelligence. The computations are carried out on the cloud infrastructure, with an auto-scaled Kubernetes Cluster API integration. The complexity of all this is hidden from the user, who only uses Jupyter.
AI and Risk Based Vulnerability Management for Trustworthy Open Source Adoption (ARVOS)
May 2021 – November 2022
Vulnerability scanners will report all known vulnerabilities, but don’t understand which ones don’t apply to your configuration. This over-alerting causes alert fatigue in system administrators. In the ARVOS project, a collaboration between Elastisys and Debricked, the goal was to make vulnerability scanning smarter. During the test phase of continuous integration (CI), analysis would be made to see if known vulnerabilities were triggered by the code. If so, developers could change the code. If not, the code could be deployed for real.
Read our initial blog about it, Debricked’s press release, and visit the project’s source code.
Multi-Tenant Compliant Kubernetes for a Scalable Business in the Heart of the Cloud-Native Landscape
April 2020 – March 2021
Regulated industries require stable and secure software solutions, but not at the expense of innovation speed. In this project, Elastisys was fortunate enough to get funding to develop Compliant Kubernetes further, and to verify that it addressed a need in the market. As the recent years of our solid and rapid growth shows, this was certainly the case!
The project initially set out to test whether a multi-tenancy solution would be acceptable by the regulated industries market. The results, as we know now, showed that this was not desirable. Hence, Compliant Kubernetes is always deployed in a shared-nothing set of virtual infrastructure. Every customer gets their own entire software stack.
Read our initial blog about it and some praise (in Swedish) from our incubator, Uminova Innovation.
The FogGuru Project in Advanced Technology for Data Processing
September 2017 – November 2021
Centralized cloud computing offers cheap access to large amounts of processing and data storage capabilities. Yet for many applications, being far from the data center does not work. Some suffer from poor user experience if the network is too slow. Some from legal issues related to where data is stored. And some crucial services must still work even if access to the main data center is not available.
All these problems are addressed with fog computing: moving “cloud-like” computations closer to the end-user. But doing so creates a whole new set of problems!
The FogGuru project was an EU-funded research programme about exploring such problems. It ran for several years and Elastisys participated with.
Scaling and Shifting CPU and GPU Use to Reduce Energy Consumption and Peaks for Data Centers
November 2022 – August 2023
Idle cloud resources waste energy, money, and other resources. The goal of this project, a collaboration between Elastisys and Elastx, is to reduce this waste. It is done in two ways that work together. First, we dynamically scale resource allocation to resource needs. Second, we shift usage from electricity load peak hour times. This makes better use of electricity during off-peak hours.
Our results are promising. As a demo, we set up Jupyter to use Kubernetes resources on the Elastx cloud infrastructure. Jupyter is a very common data science tool in machine learning and artificial intelligence. The computations are carried out on the cloud infrastructure, with an auto-scaled Kubernetes Cluster API integration. The complexity of all this is hidden from the user, who only uses Jupyter.
AI and Risk Based Vulnerability Management for Trustworthy Open Source Adoption (ARVOS)
May 2021 – November 2022
Vulnerability scanners will report all known vulnerabilities, but don’t understand which ones don’t apply to your configuration. This over-alerting causes alert fatigue in system administrators. In the ARVOS project, a collaboration between Elastisys and Debricked, the goal was to make vulnerability scanning smarter. During the test phase of continuous integration (CI), analysis would be made to see if known vulnerabilities were triggered by the code. If so, developers could change the code. If not, the code could be deployed for real.
Read our initial blog about it, Debricked’s press release, and visit the project’s source code.
Multi-Tenant Compliant Kubernetes for a Scalable Business in the Heart of the Cloud-Native Landscape
April 2020 – March 2021
Regulated industries require stable and secure software solutions, but not at the expense of innovation speed. In this project, Elastisys was fortunate enough to get funding to develop Compliant Kubernetes further, and to verify that it addressed a need in the market. As the recent years of our solid and rapid growth shows, this was certainly the case!
The project initially set out to test whether a multi-tenancy solution would be acceptable by the regulated industries market. The results, as we know now, showed that this was not desirable. Hence, Compliant Kubernetes is always deployed in a shared-nothing set of virtual infrastructure. Every customer gets their own entire software stack.
Read our initial blog about it and some praise (in Swedish) from our incubator, Uminova Innovation.
The FogGuru Project in Advanced Technology for Data Processing
September 2017 – November 2021
Centralized cloud computing offers cheap access to large amounts of processing and data storage capabilities. Yet for many applications, being far from the data center does not work. Some suffer from poor user experience if the network is too slow. Some from legal issues related to where data is stored. And some crucial services must still work even if access to the main data center is not available.
All these problems are addressed with fog computing: moving “cloud-like” computations closer to the end-user. But doing so creates a whole new set of problems!
The FogGuru project was an EU-funded research programme about exploring such problems. It ran for several years and Elastisys participated with.
Mohammad’s thesis title was “Towards Self-Driving Microservices”. Service meshes, with configurable proxies integrated into microservices, address communication challenges and short-term failures. Mohammad’s thesis pursues three goals: investigating service traffic’s impact on reliability, auto-tuning traffic management for throughput, and enhancing research reproducibility in distributed systems. It explores current challenges, proposes adaptive controllers for circuit breakers and retries, and advocates a microservice benchmark generator.
Lars’ thesis title was “Managing Cloud Resource Scarcity”. The cloud’s resources are very large, but not unlimited. Neither are cloud spend budgets. During his studies, Lars focused on how to work around when such limits are reached. Some of the topics he explored included intelligently sharing the load between infrastructure providers if their capacity is low. And from the customer perspective, he explored reducing the computation needed, if budgets or capacity availability are low.
In this lecture, Cristan Klein gives a brief overview of most important regulations in FinTech, HealthTech and personal data processing. We will navigate the ISO 27001 information security standard which has shaped much of non-functional software requirements for society-critical IT systems. The lecture highlights the difference between security and privacy. Finally, it explores how deviation management can keep a project both fast and compliant.
Our vision is to accelerate innovation using cloud native tech. Open source is a given. So is security and compliance. If you also like to dream big, let us make it happen. We are open to it all: speaking opportunities, master thesis projects, PhD studies, industrial collaboration with research grants. Say hi, tell us what is on your mind, and let us see what we can do!
CEO, Co-founder
A full Kubernetes platform, with logging, monitoring, and more. PostgreSQL, RabbitMQ, and Redis on top. All secure and fully managed by us.
Extend your team with our cloud native experts. Develop and deploy apps faster and with more confidence in a DevSecOps fashion.
Level up your team’s skills with our wide range of courses, both tailor-made and official Kubernetes ones from the Linux Foundation.
Support for enterprises that operate our Kubernetes platform on-premise. Fast response directly from the actual maintainers.
No cookie consent is needed! See our website privacy policy for details.
Arrows in text and dashed underlines under images indicate links that lead to domains not under our privacy policy.
