Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Apolo
Aporia
Checkly
Cribl Stream
Cyral
Hadoop
InfluxDB
Molecula
NVIDIA Triton Inference Server
Observo AI
Integrations
Apolo
Aporia
Checkly
Cribl Stream
Cyral
Hadoop
InfluxDB
Molecula
NVIDIA Triton Inference Server
Observo AI
Pricing Details
$0
Free Trial
Free Version
Pricing Details
Free
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
Hypertune
Country
United Kingdom
Website
www.hypertune.com
Vendor Details
Company Name
Prometheus
Founded
2012
Website
prometheus.io
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
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting