What is Chaos Engineering?

Chaos Engineering is a technique used to assess the dependability of software systems by introducing controlled disorder into them. Organizations can leverage chaos engineering by establishing backup elements or procedures to ensure that the software functions smoothly during unexpected issues. The primary goal of chaos engineering is to identify vulnerabilities and weaknesses in an architectural system, enabling the entire team to evaluate performance in a production environment. Chaos engineering is derived from a concept called chaos theory and focuses on the immediate behavior of systems. It is straightforward to use, offers automation, and supports various configurations.

Definition of Chaos Engineering as per Wikipedia:

Chaos engineering is the discipline of experimenting on a system to build confidence in the system’s ability to withstand turbulent conditions in production.

According to Robert L. Devaney, to classify a dynamical system as chaotic, it must have these properties:

It must be sensitive to initial conditions.
It must be topologically transitive.
It must have dense periodic orbits.

Image Credit: https://www.dynatrace.com/news/blog/what-is-chaos-engineering/

Principles of Chaos Engineering:

Automation: It helps ensure that experiments are repeatable and well-managed. Chaos engineers consider automation essential for conducting experiments regularly. Automation principles play an important role in chaos engineering, as it permits the repeatable, predictable, safe, and controlled injection of chaos into the system. Many chaos engineering tools, such as Chaos Toolkit and Chaos Monkey, are crucial for this purpose.

Monitoring and Observability: This principle is crucial as it collects data during chaos experiments and aids in assessing the impact of failures. These principles help organizations learn and improve the performance and reliability of their system. First, let’s discuss the monitoring principle, the process of analyzing and collecting data from a system in real-time to gain insights into its behavior, health, and performance. Monitoring plays an important role in chaos engineering as it allows for quick detection of experiment execution, among other things. Now, let’s discuss observability, a way to debug and understand a system by checking out its behavior and internal state, even when there is no clear monitoring.

Safety: Chaos engineering should be carried out with safety considerations in mind. In case of failure or catastrophic losses, chaos engineers have the capability to roll back any changes. Safety is one of the important principles of chaos engineering, required to manage experiments in a safe, controlled manner, so that the organization can identify weaknesses in their system, upgrade the overall system, and manage any losses and interference effectively.

Building a Hypothesis: Chaos engineers start by constructing hypotheses, which guide the chaos experiment. These hypotheses revolve around how a system should perform under adverse and typical conditions. When building a hypothesis for a chaos engineering experiment, it is important to define the goals, income, and variables to test. When introducing chaos, it is important to write a clear statement that narrates what you expect.

Controlled Experiments: Controlled chaos experiments involve introducing specific forms of chaos to measure various factors, such as server failures and network latency. It is a scientific investigation where researchers have to handle many variables to ensure that they carefully control many dependent variables. The main aim of the principle of controlled experiments is to establish the relationship between many variables and some irregular variables. In this principle of controlled experiments, researchers utilize a control group and other experimental groups to identify differences and draw correlations about the effect of manipulated variables.

Post-experiment Analysis: After a successful chaos experiment, the entire team’s task is to examine the data collected and determine how the system will react when subjected to injected failures. This is an important and challenging phase where you can assess deep learning and results from organized chaos experiments.

Benefits of Chaos Engineering:

Organizations derive several benefits from chaos engineering, including:

Enhanced User Experience: Chaos engineering ensures that users have the best experience, even when encountering errors, ultimately improving the overall system’s performance. Chaos engineering helps identify weaknesses in your system, resulting in less downtime, fewer outages, and an enhanced user experience. It also helps identify potential problems during deployments and software updates, which, when addressed by the team, enhances the user experience.

Cost Savings: System failures and outages can be expensive in terms of operational expenses, lost revenue, and customer churn. Chaos engineering helps mitigate these costs by decreasing financial losses stemming from customer dissatisfaction and lost revenue. It helps organizations optimize resources and identify under- or over-equipped resources, reducing irrelevant expenses.

Stimulates Innovation: Chaos engineering identifies structural flaws and designs improvements in software systems, fostering innovation. It supports the team in finding weaknesses and losses in the organization and helps uncover areas that need improvement and innovation to make the system more resilient and robust.

Cultural Shift: Chaos engineering promotes continuous learning, regular development, and experimentation between operations and development teams. The cultural shift emphasizes self-service, automation, and the reduction of manual mistakes, enabling faster and more valid testing. Chaos engineering serves as a vehicle for the team to share experiences, best practices, and knowledge, promoting a culture of knowledge sharing and continuous learning.

Improved Resilience: Chaos engineering identifies system weaknesses and enables teams to strengthen the system against unexpected issues.

Efficient Problem Detection: Chaos engineering helps identify and address problems quickly, reducing downtime. This helps organizations find and address problems that arise early, improve system resilience, and build a more robust and reliable system.

Conclusion: Chaos Engineering is a technique used to assess the dependability of software systems by introducing controlled disorder into them. The primary goal of chaos engineering is to identify vulnerabilities and weaknesses in an architectural system, enabling the entire team to evaluate performance in a production environment. In this blog article, you will be able to learn in-depth about the principles and benefits that occur through chaos engineering.

Understanding the importance of Chaos Engineering in Devops success

Saurabh Gupta — Fri, 05 Mar 2021 19:34:11 +0000

Chaos Engineering – History & Benefits | How Chaos Engineering help in DevOps

Before we get deeper into “Chaos Engineering”, let’s get some idea about the importance of testing in the software development cycle.

Typically, any organization’s goal is never to let their software crash. It needs to be available every time it is required. Software failures can cost outages for companies. It eventually leads to a bad customer experience for customers trying to shop, transact business, and get work done. This is where, organisations needed a rubust solution to solve this challenge. That is how Chaos Engineering came into picture.

Netflix is a leader in Chaos Engineering. In fact, the concept of Chaos engineering was introduced by Netflix. Chaos Engineering is a disciplined approach to identifying failures before they become outages.

As per definition from Wikipedia:

“Chaos engineering is the discipline of experimenting on a software system in production in order to build confidence in the system’s capability to withstand turbulent and unexpected conditions”

By proactively testing how a system responds under stress, you can identify and fix failures before they end up in the news. Chaos Engineering lets you compare what you think will happen to what happens in your system.

Requirements of Chaos Engineering

It improves the resilience of the system.
You will get to know the weakness of the system.
It is proactive, as opposed to the reactive nature of traditional testing.
It exposes hidden threats and minimizes the risk.

History of Chaos Engineering

Chaos Engineering first became relevant at internet companies that were pioneering large scale systems. The Netflix Eng tools created Chaos Monkey in 2010. Chaos Monkey was developed as Netflix moved from physical infrastructure to cloud infrastructure provided by AWS. They wanted to make sure that a loss of an Amazon instance wouldn’t affect the Netflix streaming.

After the success of Chaos Monkey, the Netflix team created a suite of tools that supports Chaos Engineering principles, named the Simian Army. Simian Army added additional failure injection modes on top of Chaos Monkey that would allow testing of a more complete suite of failure states.

Later in 2014, Netflix decided to create a new role called the Chaos Engineer. In October 2014, Kolton Andrew’s team at Netflix announced Failure Injection Testing(FIT). It was a new tool built on the concepts of the Simian Army.

FIT gave developers more granular control over the blast radius of their failure injection. This awesome tool also gave the developers control over the scope of their failure. so, they could realize the insights of Chaos Engineering, but mitigate the potential downside.

Other popular Chaos Engineering tools are:

Latency Monkey
Doctor Monkey
Conformity Monkey
Janitor monkey
Security Monkey
Chaos Gorilla
10-18 Monkey

These Chaos Engineering tools are constantly testing the system against all kinds of failures, it helps to build a higher level of confidence in the system’s ability to survive.

Benefits of Chaos Engineering

When you stream using Netflix, and your service fails, you may switch to a Youtube video. Netflix loses money because they were unable to retain your attention. A company’s reputation decrease when their services go down.

This cost can be calculated as a dollar-per-hour metric and has become common in many company’s KPIs. Here are some of the additional benefits of Chaos Engineering.

Technical Benefit:
The Chaos experiment insights can mean a reduction in incidents, reduction in on-call burden, a better understanding of system failures, improved system design, faster mean time to detect SEVs, and reduction in repeated SEVs.
Customer Benefit:
The increased availability and durability of service lead to no outages disrupt their day-to-day lives.
Business Benefit:
Chaos Engineering will prevent huge losses in revenue & maintenance costs, which results in happier & more engaged engineers. This will also improve on-call training for engineering teams & improve the SEV management program for the entire organization.

Chaos Engineering is a strategy for discovering vulnerabilities and it allows an Admin to do the following things:

Identify the poor points in a system.
Check how a system responds to pressure in real-time.
Make the team ready for real possible failures.
Identify the bugs that are yet to cause system-wide problems.

Here is a list of wider benefits of Chaos Engineering:

Simulating high load of CPU.
It adds instructions to a program and allows fault injection.
It disrupts syncs between system clocks.
Turning a virtual machine off to check dependency reaction.
It stimulates the failure of micro-component.
It injects latency between services.
It executes a routine in driver code emulating I/O errors.
It performs function-based chaos like randomly causing functions to throw exceptions.

Chaos Engineering is more than a preventive mechanism. Chaos Engineering will make your system more resilient and will increase the confidence in the system’s capabilities.

There are a plethora of tools for Chaos Engineering you can experiment with different tools & techniques to make it more mature & useful. An organization can achieve long-term software resiliency by intentionally creating Chaos in the system.

Chaos Engineering and DevOps: How it can help DevOps?

It would be best to leverage a DevOps strategy that can work on different factors to make a system resilient to any breakdown. By testing a system with random failures, DevOps teams get to understand their system’s weaknesses. This lets the team make informed decisions around prioritising tasks to upgrade their systems.

Combining Chaos Engineering with DevOps not only detects any turbulence effectively but also helps in fixing it in a phased manner. Anyone can implement Chaos Engineering in DevOps with 5 simple steps:

Define the resilience parameters
Create a resilience strategy
Execute the resilience strategy
Compare the metrics within a group
Fix and minimize the blast radius

Conclusion

Implementing Chaos Engineering needs and thinking. At the same time, it will also evoke confidence.

In conclusion, Chaos Engineering tries to discover the failure points and identify what will happen in the case of resource or object unavailability. This is a very suitable practice in modern software development approaches like DevOps and microservices architectures.

Companies other than Netflix, who uses Chaos Engineering are Facebook, LinkedIn, Google, Amazon, Microsoft, etc. So, what are your thoughts on Chaos Engineering? Please share you comments below and do not forget to share the post with your network.

The post Understanding the importance of Chaos Engineering in Devops success appeared first on DevopsCurry.

Chaos Engineering – DevopsCurry

An Overview Of Chaos Engineering

Understanding the importance of Chaos Engineering in Devops success

History of Chaos Engineering

Benefits of Chaos Engineering

Chaos Engineering and DevOps: How it can help DevOps?

Conclusion