What is High Availability?
Introduction
In the current fast-moving digital realm, it’s critical for businesses to guarantee that their applications and systems remain accessible and fully operational. High availability (HA) testing is a critical component of quality assurance (QA) that focuses on verifying a system’s uptime and resilience. This blog post will delve into high availability testing, its significance in the software development lifecycle, and how H2K Infosys quality assurance software testing courses can equip you with the necessary skills to excel in this domain.
High availability refers to the ability of a system or component to remain accessible and operational for a high percentage of time. It is often measured as a percentage, such as “five nines” availability, meaning a system is operational 99.999% of the time, which translates to only about five minutes of downtime per year. High availability is achieved through redundancy, failover mechanisms, load balancing, and other strategies designed to minimise system failures and ensure continuous service.i
High availability systems are typically designed to handle failures, such as:
- Hardware failures: Servers, storage devices, or networking equipment may fail.
- Software failures: Bugs, crashes, or misconfigurations can take systems offline.
- Environmental factors: Power outages, natural disasters, or fires could impact system operations.
- Human errors: Mistakes made during updates, maintenance, or configurations.
To ensure that a system can handle these scenarios without major service disruptions, high availability Software testing and quality assurance course plays a crucial role.
High availability testing helps in finding the errors or bugs that will cause an adverse effect on the system functions. It helps in gaining the insight behaviour of the system under failover situations for developers. Failover is that the event that avoids the cause of negative impacts on the primary system failure by automatically shifting to the high reliable back up. Failure of single system doesn’t mean failure of entire system because redundancy is added to the system. This type of testing helps to overcome or determine mean time between failures and arithmetic calculation between average time a device operates before a failure. The objectives behind the high availability testing are:
- Service Reliability
- To check the system capability of system design for high availability
- Mean time Between Failure
- Prevent outright failures of online cloud service
- Design fault model
High availability means a system is continuously operational for a relative long length of time. Availability can be measured as 100 percent a widely held or difficult to achieve standard availability for a standard product known as 5 9’s(99.999)%. There are two approaches for storage of a redundant data for an independent disk is one approach(RAID). More common approach is Storage area network(SAN). The following are the High availability techniques
- Reliability engineering
- Change Management
- Configuration Management
- Capacity management
- Runbook Automation
- Load Balancing
- Failure detection
- Failover
- Service desk
- Incident management
- Problem Management
As you reach to the higher level of reliability, several things happen to the system. The cost of hardware rise due to increase in the server, network and disk redundancy. Identifying and eliminating the failures become highly difficult. In case of designing the high availability test cases like converting the faults occurred from fault modelling to actionable test cases.
Categorising test cases into
- Component level fault test cases which is within the machine boundary
- System level fault test cases.
- Third party test cases.
- Infrastructure level and operational level fault test cases.
It is not enough to conduct high availability testing during pre production environment as infrastructure and maintenances factors are different from production environment. Faults related to software, hardware are environment specific and often witnesses scaling, addition of new data centres. All aspects make testing in production environment to high availability of system resources.
Robustness testing strategy of high availability.
Robustness is defined as an approach in which the system operates correctly in the presence of exceptional inputs under stressful conditions. The first step is to identify the potential sources to activate the robustness faults in high availability middleware systems. With the development of common interface the comparison of multiple products for high availability is achieved. The approach of robustness testing is similar to the functional black box testing but it concentrates on the activation of potential robustness faults by providing exceptional inputs and generating stressful conditions.
Recommended To Read Also: Software Testing Courses and Placement
The Importance of High Availability in Modern Software Systems
Why is high availability so essential in today’s world? Here are some key reasons:
- Cost of Downtime: Unplanned downtime can lead to severe financial losses. For example, according to Gartner, the average cost of IT downtime is around $5,600 per minute. High availability testing helps identify potential failures before they cause financial damage.
- Customer Satisfaction: In an era where customers expect services to be available 24/7, even a small downtime can lead to frustration and the loss of users. High availability is crucial for retaining customer trust.
- Brand Reputation: Downtime not only impacts revenue but also negatively affects brand reputation. Companies like Amazon, Google, and Netflix invest heavily in ensuring high availability to prevent service interruptions from tarnishing their brand image.
- Compliance and SLAs: Many businesses are subject to strict Service Level Agreements (SLAs) and industry regulations that require a high degree of uptime. Failure to meet these standards can result in legal penalties.
Through software testing and quality assurance courses, learners can develop a solid understanding of the tools and techniques needed to maintain high availability in various environments.
Check your understanding:
- What is high availability testing?
- What are the objectives of High availability testing?
- What are the testing techniques used for this type of testing?
Best Practices for High Availability Testing
- Test Early and Often: High availability testing should not be an afterthought. Start testing early in the development process and continue throughout the lifecycle of the system.
- Automate Testing: Automated testing tools, such as Chaos Monkey or Nagios, can help ensure that high availability tests are run regularly and consistently.
- Monitor Continuously: Monitoring tools should always be active in high availability systems. They provide valuable insights into potential failures before they become critical.
- Simulate Real-World Scenarios: Introduce real-world failure scenarios into your testing process. This could include network outages, hardware failures, or data replication issues.
- Document Recovery Time: Keep a detailed record of how long it takes for failovers and recovery to occur. This will help identify areas for improvement and ensure that systems meet the required availability targets.
- Test Under Load: High availability testing should be done under realistic traffic loads to ensure that the system can handle real-world demand while maintaining availability.
Conclusion
High availability testing is a crucial part of ensuring that systems remain operational even during failures. By incorporating redundancy, failover mechanisms, load balancing, and monitoring, businesses can minimize downtime and maintain the reliability of their systems. While high availability testing can be complex and challenging, the benefits of ensuring uptime and continuous service far outweigh the costs. For those pursuing a career in software testing, mastering these skills is crucial. Through software testing and quality assurance courses offered at platforms like H2K Infosys, learners can gain the hands-on experience and theoretical knowledge needed to excel in high availability testing.
42 Responses
1. High availability testing: It is to test the availability of backup servers when the actual servers fail. It helps in finding the errors or bugs that will cause an adverse effect on system functions. It helps in gaining the insight behavior of the system under failover situations foe developers.
2. Objectives:
-Service reliability
-To check the system capability of system design for high availability.
-Mean time between failure
-Prevent outright failures of online cloud service.
-Design fault model.
3. Techniques:
-Reliability engineering
-Change management
-Configuration management
-Capability management
-Runbook automation
-Load balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem management
1. High availability testing is to test the availability of backup servers when the actual servers fail.
2. Objectives:
– Service Reliability
– To check the system capability of system design for high availability
– Mean time between failure
– Prevent outright failures of online cloud service
– Design fault model
3. High availability testing techniques:
-Reliability engineering
-Change Management
-Configuration Management
-Capacity management
-Runbook Automation
-Load Balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem Management
1. High availability testing is to test the availability of back up servers when the actual servers fail.
2. Objectives …..
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model
3. Testing technique…
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
High availability means system is continuously available for longer period of time performing accurately and efficiently when under lot of stress and negative conditions apply and this can be achieved by conducting High availability testing which tests the availability of back up servers when the actual server fails. The back up server increases the redundancy of the system and makes it more reliable.
Objectives of high availability testing are to provide system reliability, preventing crashing of system under stressful conditions , figure out the mean time between failure. The techniques for performing high availability testing are Reliability engineering, Change Management,Configuration city Management, Run book Automation,Load Balancing,Failure detection, Fail over, Service desk, Incident Management, Problem Management.
High availability means the proper or uninterrupted functioning of a system all the time so that the users will not face any trouble while accessing the system.So High availability testing is to test the availability of back up servers when the actual servers fail.
The Objectives of High availability testing are:
*Service Reliability
*To check the system capability of system design for high availability
*Mean time Between Failure
*Prevent outright failures of online cloud service
*Design fault model
The techniques of high availability testing are:
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
HIGH AVAILIBITY TESTING
1. High availability testing is done to make sure there is a backup server to perform when the actual server fails.
2. The objectives include: service reliability, to check the system capability, and to check mean time between failure.
3. Techniques include: reliability engineering, change management, configurement management, and capacity management.
) High availability testing is to test the availability of back up servers when the actual servers fail.
2) The objectives behind the high availability testing are:
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model
3)The following are the High availability techniques
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
High availability testing is to test the availability of back up servers when the actual server fails.
The objectives include: service reliability, to check the system capability, and to check mean time between failure.
Techniques include: reliability engineering, change Management, Configuration Management, and capacity management etc.
This article informs about High Availability testing and its robustness strategy.
High Availability testing is a type of testing where it verifies the the availability of back up servers when the main server fails.
Objectives:
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model
TEsting Techniques:
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
High availability testing:
High availability testing is to test the availability of back up servers when the actual servers fail.
Objectives of High availability testing:
– Service Reliability
– To check the system capability of system design for high availability
– Mean time Between Failure
– Prevent outright failures of online cloud service
– Design fault model
Testing techniques for High Availability Testing:
– Reliability engineering
– Change Management
– Configuration Management
– Capacity management
– Runbook Automation
– Load Balancing
– Failure detection
– Failover
– Service desk
– Incident management
– Problem Management
High availability testing is to test the availability of back up servers when the actual servers fail.. It does not mean that system undergo any failure but the High availability system is designed to manage failures so that the services are restored and neglected to have an adverse impact on users.
The objectives behind the high availability testing are:
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model
High availability techniques:
Reliability engineering
Change Management
Configuration Management
Capacity management
Run book Automation
Load Balancing
Failure detection
Fail over
Service desk
Incident management
Problem Management
High availability testing: When actual server fail then what is the performance or reliability of the backup server. It protect any the system from any kinds of defectiveness that end user face. So the point is that user should not face any impact of the failure in the server.
Objectives of High availability testing:
-Service Reliability
-Check the system capability of system design for high availability
– Time Between Failure
-Prevent outright failures of online cloud service
-Design fault model
Testing techniques used for this type of testing
-Reliability engineering
-Change Management
-Configuration Management
-Capacity management
-Run book Automation
-Load Balancing
-Failure detection
-Fail over
-Service desk
-Incident management
-Problem Management
1. High availability testing assures the durability and consistency of systems to work for long time without failing. Meaning there are available reliable backup servers to take over as a failover in the event of actual server crash. This type of testing is done to ensure continuous user operations without interruptions.
2. The High availability testing Objectives are:
Service reliability
To check the system capability of system design for high availability.
Mean time between failure
Prevent outright failures of online cloud service.
Design fault model.
3. The High availability testing Techniques are:
Reliability engineering
Change management
Configuration management
Capability management
Runbook automation
Load balancing
Failure detection
Failover
Service desk
Incident management
Problem management
1.High availability testing is to test the availability of back up servers when the actual servers fail.
2.The objective of High Availability testing are:
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model.
3.Techniques:
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
1.High availability testing is to test the availability of back up servers when the actual servers fail. The proper or uninterrupted functioning of a system all the time so that the users will not face any trouble while accessing the system is what high availability means.
2. Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model
3. Reliability engineering,Change Management,Configuration Management,Capacity management,Runbook Automation,Load Balancing,Failure detection,Failover,Service desk,Incident management,Problem Management
1.The test availability of the back up server, when the default server fail is called high availability testing.
2.The objectives of high availability testing are:
service reliability, to check system capability of system design for high availability ,mean time between failure, design fault model.
3.The technique are as follows:
Reliability engineering, change management ,configuration management, capacity management,runbook automation, load balancing, problem management.
1. High availability testing refers to systems that are durable and likely to operate continuously without failure for a long time. The term implies that parts of a system have been fully tested and, in many cases, that there are accommodations for failure in the form of redundant components.
2. Objectives of High availability testing:
•Service Reliability
•To check the system capability of system design for high availability
•Mean time Between Failure
•Prevent outright failures of online cloud service
•Design fault model
3. High Availability testing techniques:
•Reliability engineering
•Change management
•Configuration management
•Capacity management
•Runbook automation
•Load balancing
•Failure detection
High availability testing is to test the availability of back up servers when the actual servers fail.
objectives of testing techniques used for :
1.Service Reliability
2.To check the system capability of system design for high availability
3.Mean time Between Failure
4.Prevent outright failures of online cloud service
5.Design fault model
Testing techniques used for High availability testing:
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
High availability testing: When actual server fail then what is the performance or reliability of the backup server. It protect any the system from any kinds of defectiveness that end user face. So the point is that user should not face any impact of the failure in the server.
Objectives of High availability testing:
-Service Reliability
-Check the system capability of system design for high availability
– Time Between Failure
-Prevent outright failures of online cloud service
-Design fault model
Testing techniques used for this type of testing
-Reliability engineering
-Change Management
-Configuration Management
-Capacity management
-Run book Automation
-Load Balancing
-Failure detection
-Fail over
-Service desk
-Incident management
-Problem Management
1) What is high availability testing?
High availability testing is to test the availability of back up servers when the actual servers fail. The proper or uninterrupted functioning of a system all the time so that the users will not face any trouble while accessing the system.
2) What are the objectives of High availability testing?
Service Reliability, to check the system capability of system design for high availability
Mean time Between Failure, Prevent outright failures of online cloud service,
Design fault model.
3) What are the testing techniques used for this type of testing?
Reliability engineering, Change Management, Configuration Management, Capacity management,
Runbook Automation, Load Balancing, Failure detection, Fail over, Service desk, Incident management,
Problem Management.
High availability testing is to test the availability of backup servers when the actual server fails. It helps to find the errors or bugs that will cause an adverse effect on the system function.
Objectives
Service reliability
To check the system capability
Mean time between failure
Design fault model
Techniques
Reliability engineering
Change management
Configuration management
Capacity management
load balancing
failure detection
1.High availability testing is to test the availability of back up servers when the actual servers fail.
2.The objectives behind the high availability testing are:
– Service Reliability
– To check the system capability of system design for high availability
– Mean time Between Failure
– Prevent outright failures of online cloud service
– Design fault model
3. Techniques used for HAT;
– Reliability engineering
– Change Management
– Configuration Management
– Capacity management
– Run book Automation
– Load Balancing
– Failure detection
– Fail over
– Service desk
– Incident management
– Problem Management
1. High Availability testing means checking/testing the availability of back up servers when the actual servers fail. This type of testing helps to find the errors /bugs that effect the system functions, also helps developers understand the behavior of the system under fail over situations.
2. The Objective of High Availability Testing are:
– Service Reliability.
– To check the system capability of system design for high availability.
– Mean time Between Failure.
– Prevent outright failures of online cloud service.
– Design fault model.
3. Techniques of High Availability Testing:
– Reliability engineering
– Change Management
– Configuration Management
– Capacity management
– Runbook Automation
– Load Balancing
– Failure detection
– Failover
Service desk
Incident management
Problem Management
What is high availability testing? to test the availability of backup servers, when the actual server fail.
What are the objectives of High availability testing?
Service reliability, to check the system capability, mean time between failure, design fault model
What are the testing techniques used for this type of testing?
Reliability engineering
Change management
Configuration management
Capacity management
load balancing
failure detection
High availability testing: It is to test the availability of backup servers when the actual servers fail. It helps in finding the errors or bugs that will cause an adverse effect on system functions. It helps in gaining the insight behavior of the system under failover situations foe developers.
2. Objectives:
-Service reliability
-To check the system capability of system design for high availability.
-Mean time between failure
-Prevent outright failures of online cloud service.
-Design fault model.
3. Techniques:
-Reliability engineering
-Change management
-Configuration management
-Capability management
-Runbook automation
-Load balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem management
1.High availability testing
It is performed to test the availability of backup servers in case the actual server servers fail.It ensures un interrupted functioning of the system so that user will not face any issues while operating the system.
It helps in finding the insight behavior of the software under failover situations ,failover is the condition where if the primary software failed the back up software takes over without causing any negative impact to the end user.
2.Objectives if high availability testing
-Service Reliability
-Mean time between failure
-To check the system capability as design of high availability
-Prevent outright failures of online cloud services
3 high availability techniques
-Reliability engineering
– change management
-configuration management
-help desk
-incident management
-problem management
-failover
-failure detection
1. High availability testing is to test the availability of back up servers when the actual servers fail.
2.objectives are service reliability, check system capability for higher availability, prevent outright failures of online cloud service and mean time between failures.
3. Techniques involved:
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
What is high availability testing?
High availability testing is the testing that is done to check if there are available back up servers which take over in case actual servers fail. It is important test a software or program should Pass in order to be functioning consistently.
What are the objectives of High availability testing?
– Ensure availability of backup servers in case actual servers fail.
– Test smooth transition from actual to backup servers with minimum/negligible lag or loss of data.
– To ensure reliable and uninterrupted service to client or end user.
– To test situations where system might fail when servers fail and thereby alert the programmers to create a fix for the same.
What are the testing techniques used for this type of testing?
Some of the testing techniques include: Change management, Incident management , Configuration management, Problem management, Failure detection. etc.
High availability testing is to test the availability of the backup servers are available if the primary server fails to function. This is to mainly to continuous or uninterrupted service of the software for the users. The high availability doesn’t mean the system is without errors or failures but it will manage to overcome failures by having backup servers. These failures are not noticed by users because the system will work again using back up servers. Ex-Google
This testing will help to find out bugs or errors to cause the major failures on the system and insight information of the system to the developers when the failovers happens.
2) Objective:
Service reliability
to check the system capability of system for high capability
Mean time between failures
Prevent outright failures of online icloud services
design fault model
3)Techniques:
Reliability engineering
change management
configuration management
capacity management
runbook automation
load banking
failure detection
failover
service desk
incident management
problem mangement
High availability testing is a type of testing done to ensure the availability of backup servers when the actual actual servers fail.
Objectives of high availability testing are:
– Service Reliability
-To check the system capability of system design for high availability
-Mean time Between Failure
-Prevent outright failures of online cloud service
-Design fault model
Techniques are:
-Reliability engineering
-Change management
-Configuration management
-Capability management
-Runbook automation
-Load balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem management
What is high availability testing?
when the actual server fails, the backup server is supporting the system to run normally without creating any issues for the users.
What are the objectives of High availability testing?
Service reliability,
to check the system capability,
mean time between failure and, design fault model
What are the testing techniques used for this type of testing?
Reliability engineering,Change Management,Configuration Management,Capacity management,Runbook Automation,Load Balancing,Failure detection,Failover,Service desk,Incident management,Problem Management
it means checking/testing the availability of back up servers when the actual servers fail. This type of testing helps to find the errors /bugs that effect the system functions, also helps developers understand the behavior of the system under fail over situations.
objectives:
– Service Reliability
– system capability of system design for high availability
– avg time Between Failure
– avoid outright failures of online cloud service
techniques used:
Reliability engineering
Change management
Configuration management
Capacity management
load balancing
failure detection
1. High availability testing assures the durability and consistency of systems to work for long time without failing. Meaning there are available reliable backup servers to take over as a failover in the event of actual server crash. This type of testing is done to ensure continuous user operations without interruptions.
2. The High availability testing Objectives are:
Service reliability
To check the system capability of system design for high availability.
Mean time between failure
Prevent outright failures of online cloud service.
Design fault model.
3. The High availability testing Techniques are:
Reliability engineering
Change management
Configuration management
Capability management
Runbook automation
Load balancing
Failure detection
Failover
Service desk
Incident management
Problem management
1.High availability testing is to test the availability of back up servers. When the actual server uninterrupted functioning of a system all the time so the user will not get any trouble.
2. Objectives of high reliability testing are;
Service Reliability.
prevent the failure of online cloud service.
check the system design for high availability.
3. Testing techniques used for high availability testing are;
Fall over
Problem management
Reliability
Capability management
1. High availability testing is to test the availability of back up servers when the actual servers fail.
2. Service Reliability, to check the system capability of system design for high availability, Mean time Between Failure, Prevent outright failures of online cloud service, Design fault model
3. Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
1.) High avaliabilty testing is a method in which the avaliability of back up servers are tested when the actual server fails. The uninterrupted functioning of the system so the user never has any trouble is what high avaliability is. This type of testing helps find bugs that cause a negative effect on the system functions and gives insight on behaviour of the system under a failover situation.
2.) The objectives of high avaliability testing are as follow:
-Service avaliability
-To check the system capability of system design for high avaliability
-Mean time between failure
-Prevent outright failures of cloud service
-Design Fault mode
3.) There are many method to use for this type of testing but as reliability goes up cost, time and difficulty go up. Some of these methods are as follows:
-Reliability engineering
-Change Management
-Configuration Management
-Capacity Management
-Runbook Automation
-Load Balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem management
1. High availability testing tests the availability of backup servers in the event of actual servers failing. This testing provides insight on the behavior of the system during failover situations and helps in identifying defects that would be detrimental to the system’s functions.
2. The objectives of high availability testing: ensuring the reliability of the service, verifying the system’s capability and design for high availability measures, determining mean time between failures, preventing online cloud services from failing, and designing a fault model.
3. Testing techniques used for high availability testing: reliability engineering, change management, configuration management, capacity management, runbook automation, load balancing, failure detection, failover, service desk, incident management, and problem management.
1. High availability testing is to test the availability of backup servers when the actual servers fail.
2. High availability testing are:-Service avaliability
-To check the system capability of system design for high avaliability
-Mean time between failure
-Prevent outright failures of cloud service
-Design Fault mode
3. High availability testing techniques:
-Reliability engineering
-Change Management
-Configuration Management
-Capacity management
-Runbook Automation
-Load Balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem Management
High availability testing refers to the availability of the backup servers when the main server fails. Failover is an event that overcome the negative impacts of the server and shifting to another reliable server.
2. Objectives:
Server reliability
Check the system reliability of the system for high availability
Meantime between the failures
Prevent outright failure on online cloud services
Design fault model
3. Techniques:
Reliability engineering
Change management
Configuration management
Capacity management
Runbook automation
Load balancing
Failure management
Failover
Service desk
Incident management
Problem management
1) High availability testing is to test the availability of back up servers when the actual servers fail.
The proper or uninterrupted functioning of a system all the time so that the users will not face any trouble
while accessing the system is what high availability means.
2) The objectives behind the high availability testing are:
Service Reliability
To check the system capability of system design for high availability
Mean time Between Failure
Prevent outright failures of online cloud service
Design fault model.
3)High availability techniques are
Reliability engineering
Change Management
Configuration Management
Capacity management
Runbook Automation
Load Balancing
Failure detection
Failover
Service desk
Incident management
Problem Management
High availability testing is to test the availability of backup servers when the actual servers fail.
The objectives behind the high availability testing are:
-Service Reliability
-To check the system capability of system design for high availability
-Prevent outright failures of online cloud service
-Design fault model
The following are the testing techniques used for this type of testing.
-Reliability engineering
-Change Management
-Configuration Management
-Capacity management
-Runbook Automation
-Load Balancing
-Failure detection
-Failover
-Service desk
-Incident management
-Problem Management