Abstract
The emergence of microservice architecture and the concept of Chaos Engineering, which was researched to understand how the system will behave in case of possible interruptions and service problems that may occur when software services trying to do the same job in different locations talk to each other, play an important role in determining the robustness of systems exposed to intense network traffic. In this article, the concept of Chaos Engineering, which has emerged in recent years and has started to be used especially in checking the reliability of distributed systems, is mentioned. As a result, it is emphasized that Chaos Engineering can play an important role in increasing the reliability of distributed systems running on the cloud.
References
- Al-Said Ahmad, A., Al-Qora’n, L.F. & Zayed, A. Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study. Computing 106, 2389–2425 (2024). https://doi.org/10.1007/s00607-024-01292-z
- Chaos Mesh. (2024). Chaos Mesh Overview. Chaos Mesh. https://chaos-mesh.org/docs/
- Comparing Chaos Engineering tools. (2024, February 19). Gremlin. https://www.gremlin.com/community/tutorials/chaos-engineering-tools-comparison
- IBM. (n.d.). What is Chaos Engineering? Retrieved from https://www.ibm.com/topics/chaos-engineering
- Torkura, Kennedy & Sukmana, Muhammad Ihsan Haikal & Cheng, Feng & Meinel, Christoph. (2019). Security Chaos Engineering for Cloud Services. https://doi.org/10.1109/NCA.2019.8935046.
- Yadav, Rahul. (2024). Harnessing Chaos: The Role of Chaos Engineering in Cloud Applications and Impacts on Site Reliability Engineering. 72. 25-30. https://doi.org/10.14445/22312803/IJCTT-V72I6P104.
- Wikic2. (n.d.). Eight Fallacies of Distributed Computing. Retrieved from https://wiki.c2.com/?EightFallaciesOfDistributedComputing
Abstract
The emergence of microservice architecture and the concept of Chaos Engineering, which was researched to understand how the system will behave in case of possible interruptions and service problems that may occur when software services trying to do the same job in different locations talk to each other, play an important role in determining the robustness of systems exposed to intense network traffic. In this article, the concept of Chaos Engineering, which has emerged in recent years and has started to be used especially in checking the reliability of distributed systems, is mentioned. As a result, it is emphasized that Chaos Engineering can play an important role in increasing the reliability of distributed systems running on the cloud.
References
- Al-Said Ahmad, A., Al-Qora’n, L.F. & Zayed, A. Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study. Computing 106, 2389–2425 (2024). https://doi.org/10.1007/s00607-024-01292-z
- Chaos Mesh. (2024). Chaos Mesh Overview. Chaos Mesh. https://chaos-mesh.org/docs/
- Comparing Chaos Engineering tools. (2024, February 19). Gremlin. https://www.gremlin.com/community/tutorials/chaos-engineering-tools-comparison
- IBM. (n.d.). What is Chaos Engineering? Retrieved from https://www.ibm.com/topics/chaos-engineering
- Torkura, Kennedy & Sukmana, Muhammad Ihsan Haikal & Cheng, Feng & Meinel, Christoph. (2019). Security Chaos Engineering for Cloud Services. https://doi.org/10.1109/NCA.2019.8935046.
- Yadav, Rahul. (2024). Harnessing Chaos: The Role of Chaos Engineering in Cloud Applications and Impacts on Site Reliability Engineering. 72. 25-30. https://doi.org/10.14445/22312803/IJCTT-V72I6P104.
- Wikic2. (n.d.). Eight Fallacies of Distributed Computing. Retrieved from https://wiki.c2.com/?EightFallaciesOfDistributedComputing
Details
| Primary Language | English |
|---|---|
| Subjects | Software Architecture |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | August 31, 2024 |
| Submission Date | April 2, 2024 |
| Acceptance Date | August 23, 2024 |
| Published in Issue | Year 2024 Volume: 4 Issue: 2 |
