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Description
MeritTrac's CodeTrac platform for coding assessments is specifically crafted to streamline the process of identifying exceptional programming talent for organizations. This platform provides a performance-driven, online environment for coding tests that encompasses a range of domain-specific evaluations, making it possible for recruiters to analyze candidates' software development capabilities in real-time. Featuring an extensive library of programming languages such as Java, C, SQL, PHP, and others, CodeTrac allows for tailored coding scenarios that align with specific business requirements. Additionally, the platform's automated evaluation system produces in-depth reports that deliver valuable insights into the quality, readability, and efficiency of the code, facilitating quicker and more informed hiring choices. Furthermore, it offers project-based assessments, allowing for a thorough examination of a candidate's skill set and overall potential. This level of detailed analysis ensures that organizations can make well-rounded decisions regarding their future programming hires.
Description
Simplifying feature flags in Java allows for dynamic enabling and disabling of features without the need for redeployment. This system enables the implementation of various code paths through the use of predicates that are evaluated at runtime, facilitating conditional logic (if/then/else). Features can be activated not only by flag values but also through role and group access management, making it suitable for practices like Canary Releases. It supports various frameworks, starting with Spring Security, and permits the creation of custom predicates utilizing the Strategy Pattern to determine if a feature is active. Several built-in predicates are available, including white/black lists, time-based conditions, and expression evaluations. Additionally, it enables connection to external sources like a Drools rule engine for enhanced decision-making processes. To maintain clean and readable code, it encourages the use of annotations to avoid nested if statements. With Spring AOP, the target implementation is determined at runtime, influenced by the status of the features. Each execution of a feature involves the ff4j evaluating the relevant predicate, which allows for the collection of events and metrics that can be visualized in dashboards or usage trends over time. This approach not only streamlines feature management but also enhances the monitoring and analytics capabilities of your applications.
API Access
Has API
API Access
Has API
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Integrations
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
Integrations
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MeritTrac Services
Founded
2000
Country
India
Website
merittrac.com
Vendor Details
Company Name
FF4J
Website
ff4j.org
Product Features
Technical Screening
Candidate Comparison
Candidate Management
Challenges
Coding Skills Lessons
Customizable Testing
Gamification
Multiple Coding Language Options
Reporting
Test Authoring
Workflow Management
Product Features
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