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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.
Description
Hypertune stands out as a highly adaptable platform that excels in managing feature flags, conducting A/B testing, performing analytics, and configuring applications. It is designed with comprehensive end-to-end type safety, Git-inspired version control, and allows for local, synchronous, in-memory flag evaluations.
You can establish type-safe, tailored inputs such as the current User or Organization to fine-tune feature flag rules, ensuring precise targeting of your desired audience. Furthermore, the platform enables the creation of reusable variables like user segments that can be utilized across various feature flags, facilitating swift debugging for individual users.
With options for A/B testing, percentage-based rollouts, multivariate tests, and machine learning loops, Hypertune allows for an effortless rollout, testing, and optimization of new features. Additionally, you can log analytics events with type-safe custom payloads and create dynamic funnels and charts within the dashboard to assess the influence of every feature release.
Moreover, the SDK can be initialized with just the necessary feature flags, enabling partial evaluation of flag logic on the edge, thus enhancing both performance and security. This combination of capabilities makes Hypertune a versatile choice for developers aiming to innovate and refine their applications effectively.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon DynamoDB
Yes
Apache HBase
Yes
ArangoDB
Yes
Couchbase
Yes
Docker
Yes
Drools
Yes
Eureka ERP
Yes
HashiCorp Consul
Yes
Hazelcast
Yes
Ignite
Yes
Integrations
Amazon DynamoDB
No
Apache HBase
No
ArangoDB
No
Couchbase
No
Docker
No
Drools
No
Eureka ERP
No
HashiCorp Consul
No
Hazelcast
No
Ignite
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free Trial
Yes
Free Version
Yes
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
Yes
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)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
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)
Yes
In Person
Yes
Vendor Details
Company Name
FF4J
Website
ff4j.org
Vendor Details
Company Name
Hypertune
Country
United Kingdom
Website
www.hypertune.com
Product Features
Feature Management
A/B Testing
No
Entitlement Management
No
Feature Alerts
No
Feature Flag / Toggle
No
Feature Rollout Management
No
KPI Monitoring
No
Kill Switch
No
Multivariate Testing
No
Product Experimentation
No
Whitelist Creation
No
Product Features
Feature Management
A/B Testing
No
Entitlement Management
No
Feature Alerts
No
Feature Flag / Toggle
No
Feature Rollout Management
No
KPI Monitoring
No
Kill Switch
No
Multivariate Testing
No
Product Experimentation
No
Whitelist Creation
No
