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Average Ratings 0 Ratings
Description
As the demand on a website or business application escalates, a single server may struggle to handle the entire workload effectively. To address this challenge, organizations implement a technique known as "load balancing," which distributes the workload across multiple servers, thereby preventing any one server from becoming overwhelmed and potentially causing slowdowns, dropped requests, or system crashes. This approach allows for a more equitable distribution of network traffic, reducing the risk of resource overload and subsequent failures. Consequently, the performance and availability of various applications, websites, databases, and other computing resources are significantly enhanced. Additionally, load balancing ensures that user requests are processed efficiently and accurately. From the user's vantage point, load balancing operates subtly between the client and a cluster of servers, guaranteeing that connection requests are handled without any loss. Ultimately, without the implementation of load balancing, applications, websites, databases, and online services would be at a higher risk of failure during periods of increased demand, making it a crucial component for maintaining operational stability. Furthermore, this strategy not only optimizes resource usage but also enhances the overall user experience by minimizing latency and ensuring seamless access to services.
Description
Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.
API Access
Has API
API Access
Has API
Integrations
AWS CodeBuild
Azure DevOps
Bitbucket
Digital.ai Release
Dynatrace
Git
GitHub
IBM Cloud
IBM Cloud Kubernetes Service
Jenkins
Integrations
AWS CodeBuild
Azure DevOps
Bitbucket
Digital.ai Release
Dynatrace
Git
GitHub
IBM Cloud
IBM Cloud Kubernetes Service
Jenkins
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/load-balancer
Vendor Details
Company Name
Tricentis
Founded
2007
Country
United States
Website
www.tricentis.com/products/performance-testing-neoload/
Product Features
Application Delivery Controllers (ADC)
CGNAT
Content Redirection
IP Traffic Optimization
Load Balancing
Proxy / Reverse Proxy
SSL Offload
Server Health Monitoring
Traffic Chaining / Steering
Web Application Firewall (WAF)
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers
Product Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers
Load Testing
API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing
Mobile App Testing
Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing
Performance Testing
API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing
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