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What is Harness?

Each module can function on its own or in combination to form a robust integrated pipeline that encompasses Continuous Integration (CI), Continuous Deployment (CD), and Feature Flags. All Harness modules leverage the capabilities of AI and machine learning to enhance their performance. Our algorithms are designed to verify deployments, pinpoint opportunities for test optimization, suggest recommendations for cloud cost savings, and restore the system to its previous state in the event of a rollback. They also play a crucial role in facilitating complex deployment patterns, identifying anomalies in cloud costs, and initiating a variety of other tasks. Staring at dashboards and logs post-deployment can be tedious; let us handle the monotonous tasks for you. Harness systematically evaluates the logs, metrics, traces, and other relevant data from your observability systems to assess the health and status of each deployment. If a problematic deployment is identified, Harness is capable of automatically reverting to the most recent stable version, ensuring a seamless experience for users. This automation not only saves time but also minimizes the risk of human error during critical deployment processes.

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

Amazon Web Services (AWS)
ARGO
Amazon EC2
Amazon EKS
Android
Apple iOS
Azure Kubernetes Service (AKS)
DBmarlin
Doctor Droid
DonorDock
Elastic Observability
GitLab
JUnit
Jenkins
Microsoft Azure
New Relic
RapidFort
Serverless
Snyk
Splunk Enterprise

Integrations Supported

Amazon Web Services (AWS)
ARGO
Amazon EC2
Amazon EKS
Android
Apple iOS
Azure Kubernetes Service (AKS)
DBmarlin
Doctor Droid
DonorDock
Elastic Observability
GitLab
JUnit
Jenkins
Microsoft Azure
New Relic
RapidFort
Serverless
Snyk
Splunk Enterprise

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

Harness

Date Founded

2016

Company Location

United States

Company Website

harness.io/products/platform/

Company Facts

Organization Name

Amazon

Company Location

United States

Company Website

aws.amazon.com/fis/

Categories and Features

Change Management

Approval Workflow
Audit Trail
Automated Notifications
Change Calendar
Change Planning
Compliance Management
Prioritization
Release Management
Task Management
Tracking & Reporting
Training Management

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Feature Management

A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

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