Csáti, Gergely and Pelle, István and Toka, László (2022) Optimizing Performance and Resource Consumption of Cloud-Native Logging Application Stacks. In: IEEE/IFIP NOMS.
This is the latest version of this item.
|
Text
MIOT_22__Optimizing_Performance_and_Resource_Consumption_of_Cloud_Native_Logging_Application_Stacks.pdf Download (162kB) | Preview |
Abstract
Nowadays cloud-based applications and Internet of Things use-cases are becoming more and more common in the field of IT benefiting from the virtually limitless resources and microservice-based deployment options available in the cloud. Observability in such environments is key for tracing application execution to detect possible malfunctions and anomalies. Collecting logs can greatly help in this regard, however, a high volume of logging data can add huge costs for the maintenance of the infrastructure gathering monitoring data. In order to increase the profitability of the application, monitoring-related infrastructure needs to have the lowest cost possible while still being able to fully serve the application’s monitoring needs. In this work, we investigate this aspect and provide an evaluation of the resource footprint of one of the most prominent log collection services, Elastic Stack, from the perspective of its write path.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology / alkalmazott, műszaki tudományok > TK Electrical engineering. Electronics Nuclear engineering / elektrotechnika, elektronika, atomtechnika |
| Depositing User: | Dr. László Toka |
| Date Deposited: | 29 Sep 2022 07:36 |
| Last Modified: | 03 Apr 2023 08:04 |
| URI: | http://real.mtak.hu/id/eprint/150474 |
Available Versions of this Item
- Optimizing Performance and Resource Consumption of Cloud-Native Logging Application Stacks. (deposited 29 Sep 2022 07:36) [Currently Displayed]
Actions (login required)
 |
Edit Item |
