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Description
Sandboxed containers and virtual private cloud (VPC) configurations facilitate network isolation, thereby safeguarding application runtimes. SAE offers robust solutions geared towards high availability for large-scale events, which necessitate exact capacity management, extensive scalability, along with service throttling and degradation. Fully-managed Infrastructure as a Service (IaaS) utilizing Kubernetes clusters presents cost-effective options for businesses. SAE is capable of scaling in mere seconds while enhancing the efficiency of runtimes and expediting Java application initialization. The One-Stop Platform as a Service (PaaS) encompasses seamlessly integrated basic services, microservices, and DevOps tools. SAE also supports comprehensive lifecycle management for applications, allowing the implementation of various release strategies, including phased and canary releases. Furthermore, it accommodates a traffic-ratio-based canary release model, ensuring that the entire release process is fully observable and can be easily reverted if necessary. This comprehensive approach not only streamlines deployment but also enhances overall operational resilience.
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
Integrations
Alibaba Cloud
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Integrations
Alibaba Cloud
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
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
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/product/severless-application-engine
Vendor Details
Company Name
FF4J
Website
ff4j.org
Product Features
Serverless
API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage
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