Enhancement of observability using Kubernetes operator
Observability is the ability for us to monitor the state of the system, which involves monitoring standard metrics like central processing unit (CPU) utilization, memory usage, and network bandwidth. The more we can understand the state of the system, the better we can improve the performance by rec...
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| Main Authors: | , , , |
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| Other Authors: | , , , |
| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2022-01-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| LEADER | 02615 am a22003733u 4500 | ||
|---|---|---|---|
| 001 | ijeecs25395_16029 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a P., Prerana Shenoy S. |e author |
| 100 | 1 | 0 | |a Mr. Rajiv Shankar Daulath, Cisco Systems |e contributor |
| 100 | 1 | 0 | |a Mr. Ravi Kiran Vadlamani, Cisco Systems |e contributor |
| 100 | 1 | 0 | |a Mr. Sundaram Ravi, Cisco Systems |e contributor |
| 100 | 1 | 0 | |a Cisco Systems |e contributor |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Soudri, Sai Vishnu |e author |
| 700 | 1 | 0 | |a P., Ramakanth Kumar |e author |
| 700 | 1 | 0 | |a Bailuguttu, Sahana |e author |
| 245 | 0 | 0 | |a Enhancement of observability using Kubernetes operator |
| 260 | |b Institute of Advanced Engineering and Science, |c 2022-01-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25395 | ||
| 520 | |a Observability is the ability for us to monitor the state of the system, which involves monitoring standard metrics like central processing unit (CPU) utilization, memory usage, and network bandwidth. The more we can understand the state of the system, the better we can improve the performance by recognizing unwanted behavior, improving the stability and reliability of the system. To achieve this, it is essential to build an automated monitoring system that is easy to use and efficient in its working. To do so, we have built a Kubernetes operator that automates the deployment and monitoring of applications and notifies unwanted behavior in real time. It also enables the visualization of the metrics generated by the application and allows standardizing these visualization dashboards for each type of application. Thus, it improves the system's productivity and vastly saves time and resources in deploying monitored applications, upgrading Kubernetes resources for each application deployed, and migration of applications. | ||
| 540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Science | ||
| 690 | |a Cloud computing; Evaluation metrics; Helm; Kubernetes; Operator-SDK; | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 25, No 1: January 2022; 496-503 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v25.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25395/16029 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25395/16029 |z Get fulltext |