In today’s corporate environment, chaos engineering is the most incredible practice methodology that can change software engineering and qualitative delivery on a larger scale. It deals with the uncertainty of distributed systems in a comprehensive manner and provides a way to modulate them quickly.
Chaos Engineering defines a strategy to learn, how your systems behave with failures. The objective is to ensure applications/ infrastructure are resilient in production with the early investigation.
Identify the root cause of any unusual behavioral breakdown in the system by injecting the failures.
How Chaos Engineering is different from typical resilience testing?
While the resilience testing approach/ methodology fits in one condition, chaos engineering refers to unique methodologies to generate something distinctive.
Chaos engineering is considered a synonym for creating innovations in the system.
It is necessary to identify the failure of individual service in a system because the circumstances that cause system failure cannot be completely eliminated. It is necessary to conduct an engineering investigation to test the flexibility and scalability of the system and the overall environment/infrastructure.
It takes the complexity of the system to be tested by simulating extreme chaotic conditions and observing how the system responds to that chaos scenario.
What it does do?
Chaos engineering allows performing wide, careful, and predicated havoc that responds with a peculiarity about the system’s behaviors and performance. It has an unusual combination to observe the system very closely.
By intentionally creating chaos in the system, an organization can ensure environmental resiliency. The resiliency factor and quality play a vital role when we talk about distributed systems in Agile.
- It improves the resilience of the system.
- You will get to know the weaknesses of the system.
- It is proactive in nature, as opposed to reactive traditional testing.
- It exposes hidden threats and minimizes the risks.
In order to disable services randomly to ensure continuous engagement during common failures introduced Chaos Engineering. It works by intentionally injecting faults in the production network to test how the remaining systems respond to the outage.
Chaos Engineering by NetHavoc
NetHavoc allows users to test the resilience of the applications and infrastructure. NetHavoc can be used to inject various faults into the application infrastructure during a load test. The after-effects of the fault injection can be monitored through powerful monitoring capabilities.
Faults can be injected randomly in the production and/or the staging environment (during a load test or even in production) and the after-effects monitored using the NDE infrastructure (Failure as a Service).
Faults can be injected by the Fault Injection software based on different parameters including:
- Time (off-peak hours)
- Probability (of the fault occurring)
- Spacing (between two faults)
- Severity (instance(s), server(s), Tier(s), DC going down)
- Partial fault (disable network interface) to full fault (server power down)
- Faults can be injected into different services:
- Application servers
To know more please follow <NetHavoc Chaos Engineering –https://www.cavisson.com/nethavoc/ offering from Cavisson.