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Description

Identify performance limitations or other hidden issues that conventional software testing may overlook. Establish clear criteria for halting an experiment or reverting to the original state prior to experimentation. Execute experiments within minutes by utilizing pre-defined scenarios available in the FIS scenario library. Gain enhanced understanding by simulating real-world failure scenarios, such as the degradation of various resources' performance. Integrated within AWS Resilience Hub, the AWS Fault Injection Service (FIS) is a fully managed solution designed for conducting fault injection experiments aimed at enhancing an application’s performance, visibility, and resilience. FIS streamlines the setup and execution of controlled fault injection tests across multiple AWS services, enabling teams to gain confidence in how their applications respond. Additionally, FIS equips teams with essential controls and safeguards for conducting experiments in production, including automatic rollback or cessation of the experiment upon meeting predetermined conditions, thus ensuring a safer testing environment. With these capabilities, teams can effectively identify vulnerabilities and improve their overall application resilience.

Description

Establish, oversee, and confirm your system's reliability goals (SLOs) along with the relevant metrics (SLIs). View all the reliable activities in one location while identifying necessary actions to take. Assess the effects on your system's reliability by examining how your system, personnel, and methodologies prepare for and react to challenging situations. Organize your Reliability Toolkit to align with your operational structure, reflecting the organization and teams you work with. Create, import, execute, and gain insights from robust chaos engineering experiments and tests utilizing the freely available Chaos Toolkit. Continuously monitor the effects of your reliability initiatives over time against crucial indicators such as Mean Time to Recovery (MTTR) and Mean Time to Detection (MTTD). Identify vulnerabilities in your systems before they escalate into crises through the use of chaos engineering techniques. Investigate how your system behaves in response to frequent failures, crafting tailored experimental scenarios that allow you to witness firsthand the benefits of your investments in reliability, ultimately ensuring a more resilient operational framework. By regularly conducting these assessments and experiments, you can effectively strengthen your system's resilience and improve overall performance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Resilience Hub Yes 
Amazon Web Services (AWS) Yes 

Integrations

AWS Resilience Hub No 
Amazon Web Services (AWS) No 

Pricing Details

$0.10 per action-minute
Free Trial No 
Free Version No 

Pricing Details

$75 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Country

United States

Website

aws.amazon.com/fis/

Vendor Details

Company Name

ChaosIQ

Founded

2017

Country

United Kingdom

Website

chaosiq.io

Product Features

Product Features

Application Performance Monitoring (APM)

Baseline Manager No 
Diagnostic Tools No 
Full Transaction Diagnostics No 
Performance Control No 
Resource Management No 
Root-Cause Diagnosis No 
Server Performance No 
Trace Individual Transactions No 

Alternatives

Alternatives

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ChaosNative Litmus

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