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An architecture for self-managing microservices
| Content Provider | ACM Digital Library |
|---|---|
| Author | Edmonds, Andrew Blöchlinger, Martin Toffetti, Giovanni Dudouet, Florian Brunner, Sandro |
| Abstract | 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 infrastructural metrics to provide automated and responsive reactions to failures (health management) and changing environmental conditions (auto-scaling) minimizing human intervention. In the current practice, management functionalities are provided as infrastructural or third party services. In both cases they are external to the application deployment. We claim that this approach has intrinsic limits, namely that separating management functionalities from the application prevents them from naturally scaling with the application and requires additional management code and human intervention. Moreover, using infrastructure provider services for management functionalities results in vendor lock-in effectively preventing cloud applications to adapt and run on the most effective cloud for the job. In this position paper we propose a novel architecture that enables scalable and resilient self-management of microservices applications on cloud. |
| Starting Page | 19 |
| Ending Page | 24 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450334761 |
| DOI | 10.1145/2747470.2747474 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-04-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
