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What is Verica?

Overseeing complex systems does not necessarily lead to chaos; rather, ongoing verification provides crucial insights into these advanced systems by employing experiments to detect security and availability issues before they develop into significant disruptions for businesses. As our software and systems become more intricate, development teams must have a dependable strategy to prevent expensive security breaches and availability failures, creating an urgent demand for a forward-thinking approach to effectively uncover vulnerabilities. Continuous integration and continuous delivery have enabled adept developers to streamline their processes significantly. By adopting chaos engineering principles, continuous verification works to reduce the likelihood of costly incidents associated with availability and security. Verica builds trust in your most sophisticated systems by leveraging a strong legacy of empirical experimentation to proactively pinpoint potential vulnerabilities. This enterprise-grade solution is designed for seamless integration with Kubernetes and Kafka from the outset, optimizing operational performance. In a world where technology is rapidly advancing, continuous verification emerges as an essential tactic for ensuring the robustness and dependability of complex systems. As organizations navigate this evolving landscape, the importance of maintaining system integrity cannot be overstated.

What is AWS Fault Injection Service?

Recognize the limitations in performance and potential weaknesses that traditional software testing may overlook. It is crucial to set definitive guidelines for stopping an experiment or returning to the pre-experiment state. Conduct tests rapidly by utilizing predefined scenarios from the extensive library provided by the AWS Fault Injection Service (FIS). By simulating authentic failure conditions, teams can gain deeper understanding of how different resources may perform under strain. As part of the AWS Resilience Hub, FIS serves as a robust tool for executing fault injection tests to improve application performance, visibility, and durability. The service simplifies the process of setting up and conducting controlled fault injection tests across various AWS services, which helps teams cultivate confidence in how their applications behave. Additionally, FIS incorporates vital safety features that allow teams to run experiments in production environments with safeguards in place, such as the automatic ability to halt or revert the experiment based on specific pre-established criteria, thereby enhancing overall safety during testing. This functionality equips development teams with the knowledge they need to navigate their applications in high-pressure situations and prepares them for unforeseen challenges. Ultimately, the use of FIS not only improves resilience but also fosters a more proactive approach to application performance management.

Media

Media

Integrations Supported

AWS Resilience Hub
Amazon Web Services (AWS)
Apache Kafka
Kubernetes

Integrations Supported

AWS Resilience Hub
Amazon Web Services (AWS)
Apache Kafka
Kubernetes

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.10 per action-minute
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Verica

Company Location

United States

Company Website

www.verica.io

Company Facts

Organization Name

Amazon

Company Location

United States

Company Website

aws.amazon.com/fis/

Categories and Features

Categories and Features

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