4.15.0

Overview

This document covers the release information for the Cavisson Product Suite version 4.15.0. It provides a high-level overview of the changes introduced since the previous release. For the latest information on new features, enhancements, bug fixes, and support advisories, please refer to the relevant sections on the Cavisson website.

New and Enhanced Features

Common UI

Dashboard

Metric Configuration Revamp

The Metric Configuration experience has been redesigned to provide a centralized and streamlined approach for widget creation and metric management. A new Configure panel enables users to configure widget charts, metrics, and visualization settings from a single interface, improving usability and reducing configuration effort.

Enhanced Chart Configuration

Users can now change chart types directly from the Configure panel without recreating widgets. Chart types are organized into logical categories, including Time Series, Data Value, Categorical, and Specialized visualizations, making it easier to identify and select the most appropriate chart for data analysis.

Improved Metric Configuration

The metric configuration workflow has been enhanced with advanced capabilities for metric selection, aggregation, grouping, alias management, unit conversion, decimal formatting, and additional metric settings. Support for derived metrics has also been introduced, allowing users to create custom metric calculations using arithmetic expressions for more flexible data analysis.

Expanded Datasource Support

Metric Configuration now supports multiple data sources through a dedicated datasource selector. Users can configure widgets using data from Metrics, Logs, Database, Load Test, RUM, and Cloud Cost, enabling unified dashboard creation across different monitoring domains.

 Logs Support

Added support for configuring and managing log-based metrics within Metric Configuration. This enhancement enables users to visualize log data through dashboard widgets, providing improved observability and faster log analysis.

Database Query Support

Added support for configuring database query metrics to monitor query execution, performance, and execution trends. This enhancement provides better visibility into database operations and helps identify performance bottlenecks.

Cloud Cost Support

Added support for configuring Cloud Cost metrics within Metric Configuration. Users can now visualize cloud resource consumption and spending through dashboards, enabling improved cost monitoring and optimization.

Real User Monitoring (RUM) Support

Added support for configuring Real User Monitoring (RUM) metrics to visualize end-user experience and application performance. This enhancement enables users to monitor key user experience metrics directly from dashboard widgets.

Load Test Support

Added support for configuring Load Test metrics within Metric Configuration. Users can now visualize load testing results through dashboards to analyze application performance under varying workloads and identify potential performance bottlenecks

Single Metric Support for Data Widgets

To provide consistent visualization behavior, Data, Dial, and Meter widgets now support a single metric or query. If multiple queries are configured, only one query is considered for these widget types, ensuring accurate and simplified data representation.

Redesigned Add New Widget Menu

The Add New Widget menu has been redesigned to improve widget discovery and simplify the widget creation process. Widget types are now categorized based on their functionality, providing a more intuitive navigation experience and enabling users to quickly locate and create the required visualization.

Widget Configuration Enhancements

The configuration experience has been enhanced for Image, Label, and End-to-End (E2E) widgets to align with the updated dashboard interface. These improvements provide a more consistent user experience while simplifying widget configuration and management.

Dashboard Usability Improvements

Additional enhancements have been implemented across the dashboard to improve widget configuration workflows, organize widget settings more effectively, and provide a consistent user experience across all supported widget types.

Service Level Objectives (SLO)

Flexible SLO Definition

Define Service Level Objectives (SLOs) using the methodology that best suits your application requirements. Users can create count-based, uptime-based, or threshold-based SLOs and associate them with a service, business transaction, or user journey. Configure rolling evaluation windows of 7, 30, or 90 days, define target compliance percentages, and set early warning thresholds. A live preview is available during configuration to validate the SLO before saving, ensuring accurate and reliable service objectives.

 

 

Centralized SLO Overview

The SLO Overview page provides a consolidated view of service reliability by displaying the number of healthy, warning, breached, and no-data SLOs, along with the overall compliance percentage. Users can analyze SLO performance through daily, weekly, and monthly views, while built-in options to sort, edit, clone, delete, or perform bulk operations simplify large-scale SLO management.

Advanced Search and Filtering

Locate the required SLO quickly using comprehensive filtering and search capabilities. Filter SLOs based on owner, type, status, environment, service, team, or tags, or use search-based queries to instantly access specific Service Level Objectives, improving operational efficiency in large environments.

Detailed Compliance Analysis

Gain complete visibility into service reliability with detailed SLO analysis. View compliance trends, error budget consumption, burn rate analysis, and uptime history to understand service behavior over time. Planned maintenance activities, deployments, and non-business hours can be configured as corrections to exclude them from compliance calculations. A complete audit history of configuration updates and applied corrections is also maintained for improved governance and traceability.

Proactive SLO Alerting

Configure intelligent alerts based on remaining error budget or burn rate to proactively identify potential SLA violations before they impact service availability. Customizable thresholds and evaluation windows enable teams to respond quickly and maintain target service reliability.

SLO Widget Support

SLO Widget Support

Monitor Service Level Objectives (SLOs) directly from custom dashboards using the SLO widget. This enhancement enables users to continuously track service reliability, compliance, and error budget utilization without navigating away from the dashboard.

 

SLO Card View

The SLO Card View displays the compliance percentage, target value, current status, and remaining error budget for an individual SLO across multiple time windows. Users can also group the results for improved analysis and visibility.

SLO List View

The SLO List View provides a complete tabular representation of Service Level Objectives with built-in filtering, sorting, and drill-down capabilities, allowing users to efficiently manage and analyze SLO performance directly from the dashboard.

SLO Summary View

The SLO Summary View presents an aggregated overview of healthy, warning, breached, and total SLOs, enabling users to quickly assess the overall health and reliability of monitored services.

 Flexible Time Window Support

Analyze SLO performance using rolling 7, 30, or 90-day evaluation windows, week-to-date, month-to-date, previous week, previous month, or synchronize the widget with the dashboard’s global time filter for consistent time-based analysis.

Drill-Down Support

The SLO widget supports custom titles and provides seamless drill-down to detailed SLO information, including configuration details and correction history, ensuring a consistent monitoring experience across dashboards and the SLO management interface.

Report

New Reporting System

Introduced a centralized reporting system to simplify report generation, scheduling, downloading, and distribution. The new reporting workflow provides a unified interface for creating reports with configurable sections, charts, metric filters, compare reports, and automated delivery options.

 

Unified Report Generation

The report generation interface has been redesigned to provide a centralized workflow for configuring report details, test runs, dashboards, report sections, scheduling, and delivery preferences. Users can generate reports immediately or schedule them for automatic execution from the same interface.

Generic Scheduler Support

Integrated the reporting workflow with the common scheduler framework to support immediate and scheduled report generation. Users can configure recurring schedules, execution frequency, recipients, and delivery settings while leveraging a consistent scheduling experience across product modules.

Comprehensive Report Content

Reports can now include configurable sections such as title page, KPI metrics, executive summary, test run details, transaction and session analysis, network statistics, error information, engine health metrics, metric summaries, tabular reports, graphs, charts, and user-defined notes based on the selected configuration.

PDF and Word Report Support

Enhanced report generation with optimized PDF and Word output formats. Reports now provide improved layouts, standardized tables, landscape orientation for wide reports, and better readability for performance data.

Compare Report Enhancements

Enhanced Compare and Trend Compare reports with improved title pages, multiple test run support, metric filtering, percentage change analysis, color-based comparison, and improved report formatting for better comparative analysis.

Metric Filter Support

Added support for applying metric filters during report generation. Selected filters are accurately reflected in generated reports while preventing temporary dashboard filters from being permanently saved.

 

Automated Email Delivery

Reports can now be automatically distributed through email with configurable recipients, templates, scheduling options, and report attachments, simplifying report sharing across teams.

Multi-Platform Notification Support

Added support for report generation notifications through Microsoft Teams, Slack, Webex Teams, Zoho Cliq, and BigPanda, allowing users to receive report status updates across enterprise collaboration platforms.

Report Layout Improvements

Improved report quality by eliminating unnecessary blank pages, optimizing section generation, and automatically excluding sections where report data is unavailable, resulting in cleaner and more readable reports.

Improved Chart Rendering

Enhanced chart rendering by optimizing chart dimensions, page utilization, and layout while ensuring chart sections are generated only when valid chart data is available.

Standardized Table Layout

Introduced a common table formatting framework for PDF and Word reports with consistent table widths, row heights, headers, numeric alignment, compare-report formatting, and improved handling of large datasets.

Report UI Enhancements

Enhanced the report generation interface with improved navigation, validation, predefined summary and conclusion support, contextual information, and updated configuration options to simplify report creation.

Template and Schedule Protection

Improved template and schedule management by preventing accidental deletion of templates associated with scheduled reports, supporting schedule status management, and improving handling of missing dashboard references during report generation.

 

 

Performance Improvements

Enhanced the reporting framework with improvements to report processing, large dataset handling, scheduler execution, database operations, and report rendering. These enhancements improve report generation performance, scalability, and overall system reliability.

 

Monitor

Azure Monitoring UI Enhancements

Enhanced the Azure monitoring user interface to provide a more intuitive and streamlined monitoring experience, improving usability and simplifying monitor configuration and navigation.

Azure Managed Identity Support

Added support for Azure Managed Identity authentication, eliminating the need to manage service principal credentials while providing a more secure and simplified authentication mechanism for Azure monitor configuration.

Support for CP Plus NVR Monitoring

Added monitoring support for CP Plus NVR devices to provide comprehensive visibility into device health, performance, and operational metrics.

CP Plus NVR Disk Monitoring

Added disk-level monitoring support for CP Plus NVR devices to track storage capacity, disk utilization, and overall disk health for improved storage management.

Support for CP Plus Camera Monitoring

Added monitoring support for CP Plus cameras to provide visibility into device status, health, and operational performance metrics.

Support for Apache CloudStack Storage Pool Monitoring

Added monitoring support for CloudStack Storage Pools to track storage capacity, utilization, and storage performance across CloudStack environments.

Support for Apache CloudStack Network Monitoring

Added monitoring support for CloudStack Networks to provide visibility into network utilization, throughput, and traffic performance.

Support for Apache CloudStack Host Monitoring

Added host-level monitoring support for Apache CloudStack to track CPU, memory, storage, and overall infrastructure health.

Support for Apache CloudStack Domain Monitoring

Added domain-level monitoring support to provide aggregated resource utilization and operational insights across Apache CloudStack environments.

Support for Apache CloudStack Volume Monitoring

Added monitoring support for CloudStack Volumes to track storage usage, capacity, and performance metrics.

Support for KVM Virtual Machine Monitoring

Added monitoring support for KVM virtual machines to provide comprehensive CPU, memory, disk, and network performance metrics.

Support for KVM Storage Pool Monitoring

Added monitoring support for KVM Storage Pools to monitor storage capacity, utilization, and overall storage performance.

Support for KVM Network Monitoring

Added monitoring support for KVM Networks to provide visibility into network throughput, traffic, and interface utilization.

Support for KVM Disk Monitoring

Added disk-level monitoring support for KVM environments to track disk I/O performance and storage utilization.

Support for KVM Host Monitoring

Added host-level monitoring support for KVM to provide comprehensive CPU, memory, disk, and network health metrics.

Kubernetes Monitoring UI Enhancements

Enhanced the Kubernetes monitoring user interface to improve usability, navigation, and the overall monitoring experience.

Support for Kubernetes Node TCP Monitoring

Added monitoring support for Kubernetes Node TCP metrics to provide visibility into TCP connections, retransmissions, network errors, and overall network communication health.

Support for Kubernetes CoreDNS Monitoring

Added monitoring support for Kubernetes CoreDNS to track DNS request performance, cache efficiency, upstream resolver health, and DNS service availability.

Support for Kubernetes Container I/O Monitoring

Added container-level I/O monitoring to provide detailed visibility into disk operations, throughput, latency, and I/O error rates.

Support for Kubernetes Container Memory Monitoring

Added container-level memory monitoring to track memory utilization, working set, cache usage, paging activity, and out-of-memory (OOM) events.

Kubernetes Pod Monitoring Enhancements

Enhanced Kubernetes Pod monitoring by adding key health and reliability metrics such as CrashLoop Pods, OOM Killed Pods, ImagePull Error Pods, Not Ready Pods, and Total Pod Restarts. These improvements provide better visibility into pod health and help in faster issue identification and troubleshooting.

 

 

CMON Agent

Security Enhancements

Added support for Mutual TLS (mTLS) authentication in the CMON Agent to enable secure, encrypted communication between the agent and the server. This enhancement strengthens communication security by providing mutual authentication and protecting data exchanged between monitoring components

 Integration

Expanded platform integrations to enhance observability, streamline DevOps workflows, and improve AI-assisted operations. The latest release includes support for the following integrations:

  • Jira: Added integration with Jira for seamless issue, defect, and incident tracking.
  • Azure DevOps: Added integration with Azure DevOps to streamline DevOps workflows and improve CI/CD pipeline visibility.
  • Code Analyzer: Added integration with Code Analyzer to correlate code quality insights with application performance and diagnostics.
  • LLM: Added Large Language Model (LLM) integration to enable AI-powered analysis, troubleshooting, and intelligent recommendations.
  • Git: Added integration with Git to correlate source code changes with monitoring data for improved root cause analysis.
  • BigPanda: Added integration with BigPanda for intelligent event correlation, alert management, and incident response.

Performance and Functional

Functional Workspace

Introduced a centralized Functional workspace for creating, organizing, executing, and monitoring functional test assets. The workspace provides unified access to test cases, test suites, execution history, and AI-powered capabilities, simplifying functional test management throughout the testing lifecycle.

 

 

Test Case Management

Added support for creating and managing reusable functional test cases. Individual test cases can be executed independently or reused across multiple test suites, improving test reusability, maintenance, and application traceability.

Test Suite Management

Introduced Test Suite support to organize multiple test cases into a single executable collection. This enhancement simplifies end-to-end validation by enabling related test cases to execute together while providing consolidated execution status and reporting.

AI Collaboration

Added AI-powered collaboration capabilities for functional test creation. Users can generate and refine test cases from requirements, user stories, PRDs, and other supported inputs, reducing manual effort while improving test coverage and consistency.

Performance Workspace

Introduced a centralized Performance workspace for creating, configuring, executing, and analyzing load and performance tests. The workspace enables users to simulate real-world workloads, monitor application behavior, identify performance bottlenecks, and analyze test results from a unified interface.

Multiple Test Creation Options

Added multiple test creation methods, enabling users to design scripts manually, record application interactions, import existing scripts, generate scripts using AI, or create tests from recorded user activity. This enhancement simplifies test creation and improves script reusability.

Design Script Manually

Introduced manual script design capabilities for creating API, Browser, Mobile Application, and DNS test scripts. Users can define requests, validations, and execution logic to build customized functional test scenarios.

 

Record Script Support

Added support for recording application interactions and automatically generating reusable functional test scripts. Recording capabilities are available for API, Browser, and Mobile Application testing, reducing manual scripting effort.

Import Script Support

Added support for importing existing test scripts, including Postman and Cavisson script formats. This enhancement enables users to reuse existing test assets and simplifies migration into the platform.

AI-Based Test Generation

Introduced AI-powered test generation to automatically create functional test scripts from Azure DevOps user stories, Jira user stories, requirement documents, Gherkin feature files, and OpenAPI/Swagger specifications. This enhancement accelerates script creation while improving test coverage and consistency.

Generate from User Activity

Added support for generating functional test cases from recorded user activity. By analyzing actual user interactions, the platform automatically creates realistic and reusable test scenarios, reducing manual test creation effort while improving functional test coverage.

Functional Test Suite Support

Enhanced the Functional Testing framework with comprehensive Test Suite capabilities, enabling users to efficiently organize, manage, and execute functional test cases as part of a unified testing workflow.

Test Case Generation from User Stories and Requirements

Added support for generating functional test cases directly from Azure DevOps User Stories, Jira User Stories, Requirements Documents, and Gherkin Feature Documents. This enhancement reduces manual effort by automatically converting requirement artifacts into executable test cases while improving traceability between requirements and testing.

 

Functional Test Generation from RUM Sessions

Introduced the ability to create Functional Tests directly from Real User Monitoring (RUM) sessions. Users can capture production user sessions within a selected time range and automatically generate functional test cases based on actual user interactions, improving test coverage while reducing manual test creation effort.

No-Code Recording Support

Introduced a unified no-code recording framework for API, Browser, and Mobile applications. Users can record application workflows and automatically generate reusable test scripts without writing code, simplifying test creation across multiple application types.

Simplified Assertion Framework

Redesigned the assertion framework for API and Browser tests to simplify validation configuration while providing comprehensive response and UI validation capabilities.

The enhanced assertion framework includes support for:

  • API Assertions: Validate response body, headers, response time, HTTP status codes, JSON Path, JSON Schema, XML Path, XML Schema, regular expressions, and content-based validations.
  • Browser Assertions: Validate page elements, attributes, element count, page title, URL, response body, headers, response time, and HTTP status codes.

Import Existing Test Assets

Added support for importing OpenAPI (Swagger) specifications, Karate test scripts, and Playwright test scripts into the Cavisson No-Code Test framework. This enhancement enables organizations to reuse existing automation assets while accelerating migration to the unified no-code testing platform.

Shared Group and Flow Reusability

Introduced support for importing shared Groups and Flows without creating duplicate copies. This enhancement enables reusable test components across Functional and Performance test scripts, simplifying maintenance and ensuring consistency across test assets.

 

Cavisson Tunnel Configuration

Introduced Cavisson Tunnel Configuration to enable secure connectivity between NetStorm and applications deployed in private, on-premises, and hybrid cloud environments.

The initial release includes support for the following tunnel types:

  • IPSec (Policy-Based): Secure encrypted communication using policy-based IPSec tunnels.
  • GRE (Unencrypted): Generic Routing Encapsulation (GRE) tunnels for private network routing.
  • GRE over IPSec: Combines GRE routing with IPSec encryption for secure communication.
  • VTI (Route-Based): Supports Virtual Tunnel Interface (VTI) for route-based IPSec VPN deployments.

Azure DevOps Plugin Support

Introduced an Azure DevOps (ADO) plugin that enables Functional and Performance test execution directly from Azure DevOps CI/CD pipelines, allowing teams to automate testing as part of their continuous integration and continuous delivery workflows.

AES and RSA Encryption Support

Enhanced the nsu_encrypt and nsu_decrypt utilities with support for AES and RSA encryption algorithms, providing secure encryption and decryption of sensitive information while improving compatibility with modern security requirements.

RDT

Page Marker Support for Mobile Application Profiling

Introduced Page Marker support for Mobile Application Tests to define the start and end of logical pages or screens within a user session. This enhancement enables page-level performance analysis by presenting page-specific profiling metrics, helping users identify performance bottlenecks and analyze application behavior more effectively.

Sauce Labs Integration

Added support for Sauce Labs integration to enable Real Device Testing (RDT) using Sauce Labs’ cloud-hosted real device infrastructure. Users can record and execute RDT scripts on a wide range of real devices without maintaining an on-premises device lab, improving device coverage and testing flexibility.

LambdaTest TestMU AI Integration

Added support for LambdaTest TestMU AI integration to enhance test automation using AI-powered capabilities. This integration enables users to accelerate test creation, improve execution efficiency, and validate applications across multiple browsers, operating systems, and mobile devices.

Interactive Mode for RDT Recorder

Introduced Interactive Mode for the Real Device Testing (RDT) Recorder to provide greater flexibility during test recording. Users can selectively capture application interactions while navigating through complex workflows, enabling the creation of cleaner, reusable, and more maintainable test scripts.

Cross-Platform RDT Script Support

Introduced Cross-Platform Real Device Testing (RDT) script support, enabling a single test script to be executed across both Android and iOS devices. This enhancement reduces script duplication, simplifies maintenance, and improves test reusability across multiple mobile platforms.

AI Locator Support

Added AI Locator support for both Real Device Testing (RDT) and Real Browser User (RBU) tests. AI-based element identification improves script stability by automatically locating application elements even after UI changes, reducing maintenance effort and improving test reliability.

Proxy Support for RDT Recording and Replay

Added support for proxy-based recording and replay in Real Device Testing (RDT). This enhancement enables users to execute mobile application tests in proxy-enabled enterprise environments while supporting network traffic analysis and improving compatibility with secured corporate infrastructures.

 

Vendor-Specific API Support for Network Log Capture

Added support for capturing network logs using vendor-specific APIs during Real Device Testing (RDT). This enhancement provides accurate network diagnostics by collecting HTTP and HTTPS communication directly from supported device providers, improving troubleshooting and performance analysis.

RBU

Playwright-Based RBU Engine

The Real Browser User (RBU) engine has been redesigned using Microsoft Playwright to provide a more robust, scalable, and reliable browser automation framework. The new engine improves script recording, execution, browser interactions, and compatibility with modern web applications. It also provides enhanced handling of dynamic web elements, improved execution stability, and faster test execution, enabling users to create more reliable browser tests with reduced maintenance effort.

Unified Test Recording

Introduced Unified Test Recording to capture browser interactions and associated API requests within a single recording session. This enhancement enables users to generate integrated test scripts that combine browser and API validations, providing complete end-to-end visibility of application workflows. By eliminating the need to create separate browser and API tests, Unified Test Recording simplifies test creation and improves functional and performance test coverage.

 

 Net Havoc

Chaos UI Revamp

Redesigned the Chaos (Havoc) user interface with a cleaner and more intuitive layout to simplify chaos experiment configuration. The updated interface improves navigation, streamlines the experiment configuration workflow, provides better organization of settings, and delivers a more consistent user experience across Chaos (Havoc) screens.

 

Chaos Mesh Integration

Introduced Kubernetes-native chaos engineering capabilities through Chaos Mesh integration, enabling users to validate application resilience by simulating real-world failure scenarios in Kubernetes environments.

The initial release includes support for the following chaos categories:

  • Starve Application: Simulate CPU and memory resource starvation.
  • State Change: Trigger state transitions and lifecycle-related disruptions.
  • Network Assaults: Inject network latency, packet loss, corruption, duplication, and network partition faults.
  • I/O Injection: Simulate storage and file system I/O failures.
  • HTTP Fault: Introduce HTTP request and response failures for service-level resilience testing.
  • Kernel Fault: Inject kernel-level faults to validate operating system resilience.
  • Pod Fault: Simulate pod failures, deletion, and other pod-level disruptions to validate Kubernetes workload recovery.

Net Diagnostic

Kubernetes WebHook for Auto Injection

Introduced a Kubernetes Mutating WebHook to automatically inject NetDiagnostics application agents into Kubernetes workloads. This enhancement simplifies agent deployment by eliminating manual configuration and ensuring consistent instrumentation across Kubernetes environments.

.NET Agent

CLR Runtime Metrics

Added support for collecting CLR runtime metrics, providing enhanced visibility into runtime health and improving application monitoring and troubleshooting capabilities.

Client Certificate Authentication

Added support for client certificate authentication to provide secure communication between .NET applications and backend components.

.NET Framework 4.x Classic Mode Support

Added support for monitoring applications running in .NET Framework 4.x Classic Mode on Windows environments.

Python Agent

Python Agent Enhancements

Enhanced the Python Agent with major architectural, stability, and performance improvements, making it production-ready while expanding feature support and improving overall reliability.

Node.js Agent

Node.js 18–22 Support

Added compatibility with Node.js versions 18 through 22, enabling monitoring of applications running on the latest Long-Term Support (LTS) releases.

Java Agent

Custom Object Size in Memory Leak Havoc

Added support for configuring custom object sizes in Memory Leak Havoc. Users can specify the object size to be allocated after each injected leak, enabling more realistic memory leak simulation and improved validation of application behavior under memory pressure.

Enterprise Java Bean (EJB) Instrumentation Support

Added support for instrumentation and monitoring of Enterprise Java Bean (EJB) client and remote callouts. The Java Agent captures EJB interactions, including bean class identification and performance tracing, providing improved visibility into enterprise Java applications running on supported JBoss environments.

OpenTelemetry (OTel) Agent Extension Support

Added support for using the NetDiagnostics Java Agent as an extension to the OpenTelemetry (OTel) Agent. This integration enables users to leverage NetDiagnostics monitoring capabilities alongside OpenTelemetry-based instrumentation for enhanced application observability.

 

Thread Capture Customization

Enhanced thread capture capabilities by allowing users to configure which threads should be captured during transaction tracing. Users can capture all threads, only callout threads, instrumented method threads, or a combination of these, helping optimize flow path size for multithreaded transactions.

Java Database Query Capture Enhancements

Enhanced database query capture by improving SQL query and parameter collection, providing more accurate visibility into database operations and performance analysis.

Stored Procedure Capture

Added support for runtime interception and performance monitoring of database stored procedure calls, providing deeper visibility into stored procedure execution and database performance.

Common Enhancements

View Source Code Support

Extended the View Source Code capability to the Hotspot screen, enabling users to quickly access application source code during hotspot analysis for faster root cause identification.

Application Havoc Enhancements

Enhanced Application Havoc capabilities across supported agents with improvements to Python and .NET thread and memory leak simulation, Python ramp-up and ramp-down delay support, and synchronized .NET havoc callouts for more realistic fault injection scenarios.

Cloud Platform Support

Expanded NetDiagnostics agent support for Kubernetes, AWS, and Azure environments, improving monitoring capabilities across cloud-native and hybrid deployments.

 

 

 

Net Forest

NetForest Logs UI Enhancements

Enhanced the NetForest Logs interface by introducing pagination support for log data. This enhancement improves navigation and performance while browsing large log datasets, providing a more efficient log analysis experience.

Index Management

Added support for deleting indices directly from the NetForest interface. This enhancement simplifies index management by enabling users to remove unnecessary indices without leaving the application, improving operational efficiency.

Build

Product Support for RHEL 9.x

Added product support for Red Hat Enterprise Linux (RHEL) 9.x, enabling deployment and operation of the Cavisson Product Suite on the latest RHEL platform while ensuring compatibility, stability, and support for modern enterprise environments.

Product Support for Ubuntu 24.04

Added product support for Ubuntu 24.04, enabling users to deploy and run the Cavisson Product Suite on the latest Ubuntu Long-Term Support (LTS) release with improved platform compatibility and reliability.