One post tagged with "Operations"

Overview​

vuSmartMaps NG 3.1.0 introduces significant advancements in observability, automation, AI-driven analytics, and platform operations. This release focuses on simplifying infrastructure onboarding, expanding observability coverage, improving application and digital experience monitoring, and enhancing operational efficiency through intelligent automation and centralized management. vuSmartMaps NG 3.1.0 introduces significant advancements in observability, automation, AI-driven analytics, and platform operations. This release focuses on simplifying infrastructure onboarding, expanding observability coverage, improving application and digital experience monitoring, and enhancing operational efficiency through intelligent automation and centralized management.

NG 3.1.0 introduces major capabilities such as Auto-Discovery & Instrumentation (ADI) for automated discovery and monitoring of supported environments, Application Workbench for business-centric application modeling, Smart Frames and Smart Frame Studio for customizable operational workspaces, APM Studio for centralized telemetry governance, and Browser Real User Monitoring (BRUM) V2 for enhanced end-user experience monitoring. The release also introduces AI-powered capabilities through Anomaly Detection and Ved AI, along with the new NG Alert Engine for scalable and high-performance alert processing. NG 3.1.0 introduces major capabilities such as Auto-Discovery & Instrumentation (ADI) for automated discovery and monitoring of supported environments, Application Workbench for business-centric application modeling, Smart Frames and Smart Frame Studio for customizable operational workspaces, APM Studio for centralized telemetry governance, and Browser Real User Monitoring (BRUM) V2 for enhanced end-user experience monitoring. The release also introduces AI-powered capabilities through Anomaly Detection and Ved AI, along with the new NG Alert Engine for scalable and high-performance alert processing.

In addition, NG 3.1.0 expands observability with new O11ySources, enhances Application Performance Monitoring (APM), Mobile Real User Monitoring (MRUM), Data Explorer, ContextStreams, Dashboards, ITSM integrations, HyperScale, reporting, platform security, and overall platform usability. Together, these enhancements provide deeper visibility across applications, infrastructure, and digital experiences while reducing operational effort, accelerating troubleshooting, and enabling organizations to build a more scalable, resilient, and intelligent observability platform. In addition, NG 3.1.0 expands observability with new O11ySources, enhances Application Performance Monitoring (APM), Mobile Real User Monitoring (MRUM), Data Explorer, ContextStreams, Dashboards, ITSM integrations, HyperScale, reporting, platform security, and overall platform usability. Together, these enhancements provide deeper visibility across applications, infrastructure, and digital experiences while reducing operational effort, accelerating troubleshooting, and enabling organizations to build a more scalable, resilient, and intelligent observability platform.

Key Highlights​

New Features​

• Auto-Discovery & Instrumentation (ADI): * Introduces an automated observability framework for discovering and enabling monitoring of APM Java Traces on standalone Linux environments through Host Landscape, OmniAgent, and automated discovery capabilities.
• Application Workbench: A business-centric modeling module that enables users to group observability sources and source instances into logical applications. Future enhancements will integrate these applications with Alerts, Dashboards, and targeted data filtering.
• Auto-Discovery & Instrumentation (ADI): * Introduces an automated observability framework for discovering and enabling monitoring of APM Java Traces on standalone Linux environments through Host Landscape, OmniAgent, and automated discovery capabilities.
• Application Workbench: A business-centric modeling module that enables users to group observability sources and source instances into logical applications. Future enhancements will integrate these applications with Alerts, Dashboards, and targeted data filtering.
• NG Alert Engine: New Go-based alert processing engine designed to improve scalability, performance, and resource efficiency, with a redesigned Alert Configuration Studio.
• APM Studio: New centralized workspace for telemetry governance, naming, classification, failure detection, and data control.
• Smart Frames: A fully customizable alternative to traditional dashboards that unifies observability data, visualizations, and insights into an interactive workspace with seamless, context-aware drill-downs.
• Smart Frames: A fully customizable alternative to traditional dashboards that unifies observability data, visualizations, and insights into an interactive workspace with seamless, context-aware drill-downs.
• Smart Frame Studio: Introduces a visual design workspace for creating, configuring, and managing Smart Frames through an intuitive, widget-based interface.
• Anomaly Detection: AI-driven anomaly detection capability that automatically identifies abnormal behavior across applications and infrastructure using adaptive learning models.
• Ved AI: New AI-powered assistant that enables conversational incident investigations, alert analysis, and guided root cause analysis.
• Browser Real User Monitoring (BRUM) V2: reimagined browser observability solution that provides deep visibility into end-user experiences by capturing application performance, errors, and user journeys, enabling faster troubleshooting and improved digital experiences.
• Browser Real User Monitoring (BRUM) V2: reimagined browser observability solution that provides deep visibility into end-user experiences by capturing application performance, errors, and user journeys, enabling faster troubleshooting and improved digital experiences.

Major Enhancements​

• O11ySources: Enhanced O11ySource management with Source Instances view, Table View, YAML editing, bulk operations, and multiple data collection modes. Also introduces new O11ySources across cloud, database, infrastructure, and observability domains.
• Application Performance Monitoring (APM): Enhanced APM experience with redesigned Smart Frame dashboards and GeoIP telemetry enrichment for deeper application visibility.
• Application Performance Monitoring (APM): Enhanced APM experience with redesigned Smart Frame dashboards and GeoIP telemetry enrichment for deeper application visibility.
• Data Explorer: Evolution of Log Analytics into a unified platform for exploring and analyzing all table-based datasets.
• ContextStreams: Enhanced debugging capabilities with new and updated plugins, along with improvements to multiline log processing and data enrichment workflows.
• ContextStreams: Enhanced debugging capabilities with new and updated plugins, along with improvements to multiline log processing and data enrichment workflows.
• ITSM Platform Configurations: Expanded integration capabilities with PATCH support, custom authentication, configurable search payloads, and proxy support.
• Dashboards: Support for Business Charts powered by the Volkov Labs ECharts plugin, enabling advanced and interactive visualizations.
• Synthetic Browser Journey Monitoring: Added support for Internet Explorer (IE) mode to monitor and validate legacy browser-based workflows.

Platform & Infrastructure Improvements​

• PostgreSQL High Availability (HA): Introduces automated failover and recovery capabilities to improve database reliability and reduce downtime.
• HyperScale: Automated database recovery scripts and ClickHouse upgrade from 25.3 to 26.2 for improved stability and compatibility.
• Data Retention: Enhanced restore workflows now restore archived data directly into original tables for consistent visibility across the platform.
• Reports: Generated PDF reports now include a dedicated introduction page for improved presentation and document structure.
• OpenTelemetry Collector Upgrade: Upgraded from v0.113.1.0 to v0.138.0 to improve telemetry processing efficiency, reliability, and compatibility.
• Kafka Data Ingestion: Optimized JSONAsString ingestion for improved Kafka throughput and processing efficiency.
• Alert Console & Alert Email Enhancements: Improved alert visibility controls, cleaner notification layouts, and configurable contextual information.
• Platform Configurations: Renamed and redesigned the configuration workspace with improved Quick Links and better content accessibility.
• Main Menu Enhancements: Reorganized navigation structure with improved module grouping and quick search support using Ctrl + K.
• Platform Security Improvements: Security enhancements across web, API, container, network, and compliance layers.

O11ySources Highlights​

New O11ySources​

We continue to expand our observability coverage with new out-of-the-box O11ySources in NG 3.1.0. These additions improve monitoring and data collection across different environments, helping users gain deeper insights and better visibility into their systems.

The new O11ySources include:

• Browser RUM V2: Browser RUM V2 (Real User Monitoring) provides comprehensive visibility into the real end-user experience of web applications by capturing browser-side telemetry directly from live user sessions. This O11ySource enables monitoring of page load performance, API calls, route changes, user interactions, application errors, session activity, and user journeys within vuSmartMaps. It also supports advanced capabilities such as session replay and session-level analysis through purpose-built dashboards, helping teams analyze frontend performance, troubleshoot issues faster, and optimize digital user experiences.

• Browser RUM V2: Browser RUM V2 (Real User Monitoring) provides comprehensive visibility into the real end-user experience of web applications by capturing browser-side telemetry directly from live user sessions. This O11ySource enables monitoring of page load performance, API calls, route changes, user interactions, application errors, session activity, and user journeys within vuSmartMaps. It also supports advanced capabilities such as session replay and session-level analysis through purpose-built dashboards, helping teams analyze frontend performance, troubleshoot issues faster, and optimize digital user experiences.

• HPE Router: HPE Routers are enterprise-grade networking devices that provide routing and connectivity services across organizational networks. This O11ySource enables monitoring of router health, performance, and operational status within vuSmartMaps by collecting key SNMP-based metrics such as CPU utilization, memory usage, interface statistics, and hardware health indicators.

• Mobile RUM: Mobile RUM (Real User Monitoring) provides end-to-end visibility into how users interact with mobile applications across Android, iOS, and Flutter platforms. This O11ySource captures real-time user experience metrics, application performance data, crashes, errors, API activity, and user interactions, enabling teams to monitor application health, identify performance bottlenecks, and improve mobile user experiences.

• NetApp Storage Monitor: NetApp Storage Monitor provides comprehensive visibility into the performance, capacity, and health of NetApp storage environments. This O11ySource enables monitoring of storage controllers, aggregates, volumes, disks, and protocols within vuSmartMaps by collecting key metrics such as IOPS, latency, throughput, capacity utilization, and hardware health, helping ensure reliable and efficient storage operations.

• NewNet Security Gateway: NewNet AccessGuard is a secure payment transaction routing and transport gateway designed to handle high volumes of digital payment traffic. This O11ySource provides visibility into gateway performance, transaction processing, and operational health within vuSmartMaps, enabling organizations to monitor secure payment infrastructure and ensure reliable transaction routing and communication.

• SpringBoot: Spring Boot is a widely used framework for building enterprise Java applications and microservices. This O11ySource provides comprehensive observability into Spring Boot applications by collecting application, JVM, Tomcat, JDBC, executor, and Actuator-based metrics, enabling teams to monitor application health, resource utilization, request processing, and operational performance in real time.

• Storage Monitor: Storage Monitor enables real-time monitoring of CIM/WBEM-compliant storage systems, including enterprise storage platforms such as HP 3PAR, Dell EMC PowerMax, and other SMI-S compliant arrays. This O11ySource provides visibility into storage performance, capacity utilization, and operational health within vuSmartMaps, helping teams proactively manage storage infrastructure and identify potential issues.

• Traces Collector: Traces Collector enables the collection and ingestion of distributed tracing telemetry from applications and services. This O11ySource provides visibility into transaction flows, service dependencies, request latency, and application interactions within vuSmartMaps, helping teams troubleshoot performance issues and perform end-to-end observability across distributed environments.

• Versa Appliance: Versa Appliances are secure SD-WAN and edge networking platforms that combine routing, security, and traffic management capabilities. This O11ySource provides visibility into appliance performance, network health, traffic patterns, and operational status within vuSmartMaps, helping organizations monitor distributed network infrastructure and maintain secure, reliable connectivity across enterprise environments.

Complete list of O11ySources available in NG 3.1.0​

Active Directory	Fortinet Firewall	RabbitMQ	AIX Monitor
Dell Switch	Radware Load Balancer (SNMP)	Amazon RDS	Device Availability
Rancher	Apache	GKE	Redis
Apache HDFS	HAProxy	SAP ASE	Apache Solr
Hitachi Storage	Service Monitor	AWS ALB	HPUX Monitor
SFTP Monitor	AWS API Gateway	HTTP Poller	SNMP Polling
AWS Classic ELB	IBM HTTP Server	SNMP Trap	AWS CloudFront
IBM MQ	Solaris Monitor	AWS ElastiCache	IBM WAS
SQL Data Collector	AWS Network Firewall	IIS	SSL Certificate Monitor
AWS NLB	JBoss	Synthetic Browser Journey Monitoring	AWS Route53
JVM Monitor	Syslog	AWS S3	Kafka
Task Scheduler	AWS Transit Gateway	Kafka Data Collector	Tomcat
AWS VPC	Keycloak	Traces	AWS WAF
KeyDB	URL Availability	Azure API Management	Kong API Gateway
Vault	Azure App Gateway	Kubernetes	vSphere
Azure CDN WAF Policy	Linux Monitor	Weblogic	Azure EventHub
Log Collector	Windows Events Logs	Azure Firewall	MariaDB
Windows Monitor	Azure Key Vault	MicroSoft DFS	Azure Load Balancer
MongoDB	Azure MySQL Database	MSSQL	Azure Redis Cache
MYSQL	Azure SQL Database	NetApp Storage	Azure SQL Managed Instance
NetFlow	Azure Storage Blob	Nginx	Browser RUM
Nutanix	Cassandra	OCI API Gateway	Checkpoint Firewall
OCI Autonomous Database	Cisco ACI	OCI Compute	Cisco Firewall
OCI Kubernetes Engine (OKE)	Cisco Router	OHS	Cisco Switch
Oracle	DNS Monitoring	Palo Alto Firewall	F5 Load Balancer
PostgreSQL
NG 3.1.0 O11ySources
Browser RUM-V2	HPE Router	Mobile RUM	NetApp Storage Monitor
NewNet Security Gateway	SpringBoot	Storage Monitor	Traces Collector
Versa Appliance

Improvements/Technology Upgrades in the Release​

Auto-Discovery & Instrumentation (ADI)​

NG 3.1.0 introduces Auto-Discovery & Instrumentation (ADI), a new observability framework designed to simplify and automate the process of discovering infrastructure, enabling automated monitoring of systems, and maintaining visibility across dynamic environments.

In traditional monitoring environments, teams often spend considerable time onboarding hosts, configuring monitoring sources, deploying collectors, and maintaining monitoring configurations. ADI addresses these challenges by providing an automated and policy-driven approach to observability. Once OmniAgent is installed on a supported host, ADI automatically discovers supported hosts, services, runtime components, and monitorable entities across the environment. It maintains an up-to-date inventory of discovered assets, evaluates them for monitoring, and helps streamline the onboarding process with minimal manual intervention.

In traditional monitoring environments, teams often spend considerable time onboarding hosts, configuring monitoring sources, deploying collectors, and maintaining monitoring configurations. ADI addresses these challenges by providing an automated and policy-driven approach to observability. Once OmniAgent is installed on a supported host, ADI automatically discovers supported hosts, services, runtime components, and monitorable entities across the environment. It maintains an up-to-date inventory of discovered assets, evaluates them for monitoring, and helps streamline the onboarding process with minimal manual intervention.

The ADI framework combines discovery, inventory management, monitoring, and instrumentation into a unified workflow, making it easier for operations teams to gain visibility into their infrastructure and applications. ADI is built around three key components:

Host Landscape​

Host Landscape serves as the centralized operational interface for ADI and provides a complete view of discovered infrastructure and monitoring activities. It acts as a unified inventory where users can view discovered hosts, monitored entities, onboarding status, monitoring coverage, and operational health across environments. By consolidating this information into a single interface, Host Landscape helps teams understand what assets exist in the environment, which assets are being monitored, and where additional attention may be required.

Using Host Landscape, users can: Using Host Landscape, users can:

• View hosts and monitored entities discovered by ADI across environments (manually onboarded hosts and entities are not displayed).
• View hosts and monitored entities discovered by ADI across environments (manually onboarded hosts and entities are not displayed).
• Track onboarding and discovery progress.
• Organize infrastructure using Environments and Host Groups.
• Monitor overall monitoring coverage and asset health.
• Review historical discovery and onboarding activities for operational analysis.

Host Landscape provides a centralized view of the entire discovery and monitoring lifecycle, enabling teams to manage infrastructure visibility more efficiently. For more details, refer to the Host Landscape documentation in the user guide.

OmniAgent​

OmniAgent acts as the execution layer within the ADI framework and runs directly on monitored hosts to manage the monitoring probes responsible for data collection. When OmniAgent is installed, it includes the required monitoring components and automatically discovers supported technologies running on the host. Based on the discovery results, it deploys and manages the appropriate monitoring probes, enabling data collection and transmission to the vuSmartMaps platform.

Operating securely over TLS and based on centrally managed policies, OmniAgent continuously monitors probe health, applies configuration updates, performs automated recovery where required, and reports operational status back to the platform. The enhanced capabilities introduced in NG 3.1.0 further simplify host onboarding and reduce operational overhead by automating the discovery, deployment, and management of monitoring probes. OmniAgent acts as the execution layer within the ADI framework and runs directly on monitored hosts to manage the monitoring probes responsible for data collection. When OmniAgent is installed, it includes the required monitoring components and automatically discovers supported technologies running on the host. Based on the discovery results, it deploys and manages the appropriate monitoring probes, enabling data collection and transmission to the vuSmartMaps platform.

Operating securely over TLS and based on centrally managed policies, OmniAgent continuously monitors probe health, applies configuration updates, performs automated recovery where required, and reports operational status back to the platform. The enhanced capabilities introduced in NG 3.1.0 further simplify host onboarding and reduce operational overhead by automating the discovery, deployment, and management of monitoring probes.

Key capabilities include:

• Automated deployment and management of monitoring probes.
• Centralized lifecycle management for probes, including start, stop, restart, and upgrade operations.
• Automatic synchronization of monitoring configurations.
• Continuous health monitoring and self-healing capabilities.
• Secure TLS-based communication with the platform.
• Simplified onboarding through platform-generated installation workflows.

By centralizing probe management and configuration delivery, OmniAgent helps ensure consistency, reliability, and operational efficiency across monitored environments. For more details, refer to the OmniAgent documentation in the user guide.

Discovery Capabilities​

The discovery capabilities of OmniAgent automatically identify supported services, runtime components, processes, and infrastructure components running on onboarded hosts. OmniAgent continuously analyzes host environments and collects the information required to support automated discovery and monitoring workflows. As new services or runtime components are detected, the information is reported back to the platform, where ADI evaluates them for monitoring and instrumentation based on configured policies.

• These discovery capabilities help eliminate the need for manual inventory creation and significantly reduce the effort required to identify and onboard new systems into observability workflows. By continuously discovering supported components, OmniAgent helps ensure that monitoring remains aligned with the actual state of the environment.
• For more details about the discovery capabilities, refer to the OmniAgent documentation in the user guide.

Benefits​

• Automatically discovers supported infrastructure, services, and runtime components.
• Reduces manual onboarding and monitoring configuration effort.
• Accelerates the time required to bring new systems under observability.
• Provides centralized inventory and monitoring visibility through Host Landscape.
• Improves monitoring coverage across dynamic and rapidly changing environments.
• Simplifies operational management through automated and policy-driven workflows.
• Enhances consistency by standardizing discovery, onboarding, and monitoring processes.
• Provides a scalable foundation for future automation and intelligent observability capabilities.

O11ySources​

NG 3.1.0 introduces important enhancements to O11ySources to improve visibility, simplify management, and provide better operational control during data source onboarding and monitoring.

Key Enhancements​

Grid View and Table View Support

The O11ySources tab now supports two views:

• Grid View (Tile View): Provides the existing visual overview of all O11ySources with quick status visibility.
• Table View: Introduced as an additional view to provide more operational details for each O11ySource in a structured tabular format.

The Table View allows users to view additional information, such as:

• O11ySource version
• Number of configured Source Instances
• Status visibility
• Sortable columns
• Customizable column display

This helps users monitor and manage O11ySources more efficiently, especially in larger environments.

Source Instances View

A new Source Instances view has been introduced to provide a centralized, flattened view of all configured source instances across O11ySources in a single screen.

This view helps users:

• See all configured source instances in one place
• Monitor configuration status and data reception visibility
• Quickly identify operational issues across configured instances
• Manage source instances more efficiently without navigating into each O11ySource

For grouped O11ySources, the configured instances are flattened and displayed in this unified view, making it easier to monitor all underlying source instances at the device or endpoint level.

Multiple Data Collection Modes

O11ySources now supports multiple data collection methods, including:

• OmniAgent-based collection
• Remote collection
• Manual collection

This provides greater flexibility to support different deployment and onboarding requirements.

Enhanced Bulk Import & Export
Structured spreadsheet-based import and export workflows now support:

• Add
• Update
• Delete
• Bulk configuration changes with validation

This reduces manual effort and improves scalability for large-scale onboarding.

Structured 3-Step Configuration Workflow

The O11ySource configuration flow now follows a guided 3-step process:

• Add
• Configure
• Review

This improves clarity during setup and helps reduce configuration errors.

Enhanced ContextStreams Visualization

The ContextStreams flow view within O11ySources has been improved with better layout spacing and a cleaner visual structure. A left-side menu is now available to easily navigate and view pipelines within the flow.

YAML Editor in O11ySource Wizard

The O11ySource Wizard now supports a YAML editor, allowing users to view and update configurations directly within the wizard. This simplifies configuration management and provides greater flexibility during setup.

For more details, refer to the O11ySources documentation in the user guide.

Benefits​

• Improved Visibility: Grid and Table views provide both a visual overview and a more detailed operational view of O11ySources.
• Better Operational Control: Table View helps users monitor additional O11ySource details such as version, status, and Source Instance counts in a structured format.
• Centralized Source Monitoring: The Source Instances view provides a single-screen, flattened view of all configured source instances, including configuration and data reception status.
• Improved Manageability for Grouped O11ySources: Flattening grouped O11ySources into the Source Instances view makes it easier to monitor underlying devices or endpoints.
• Deployment Flexibility: Multiple data collection modes support different onboarding and deployment requirements.
• Reduced Manual Effort: Bulk import/export, guided configuration workflows, and in-wizard YAML editing simplify setup and configuration management.

Application Workbench​

• NG 3.1.0 introduces Application Workbench, a new business-centric modeling module that enables users to create logical applications by grouping observability sources and Source Instances into a single business context. Rather than viewing infrastructure as individual servers, databases, APIs, or services, Application Workbench allows teams to organize and manage these components as logical business applications, providing a more application-centric view of the monitored environment.
• Application Workbench builds on existing O11ySources and Source Instances without collecting data directly. Users can define application metadata, associate relevant Source Instances, and create reusable application models that simplify monitoring and operational visibility. Future enhancements will integrate these logical applications with Alerts, Dashboards, and targeted data filtering to deliver a more contextual observability experience.
• NG 3.1.0 introduces Application Workbench, a new business-centric modeling module that enables users to create logical applications by grouping observability sources and Source Instances into a single business context. Rather than viewing infrastructure as individual servers, databases, APIs, or services, Application Workbench allows teams to organize and manage these components as logical business applications, providing a more application-centric view of the monitored environment.
• Application Workbench builds on existing O11ySources and Source Instances without collecting data directly. Users can define application metadata, associate relevant Source Instances, and create reusable application models that simplify monitoring and operational visibility. Future enhancements will integrate these logical applications with Alerts, Dashboards, and targeted data filtering to deliver a more contextual observability experience.

For more details, refer to the Application Workbench documentation in the user guide.

Benefits​

• Business-Centric View: Organize infrastructure components as complete applications instead of isolated systems.
• Improved Impact Visibility: Quickly understand which business application is affected when a monitored source experiences issues.
• Centralized Application Management: View, edit, and manage application-to-source mappings from a single interface.
• Flexible Source Mapping: Associate one source instance with multiple applications where required.

Smart-Frames​

Smart Frames introduce a new way to create reusable operational workspaces that consolidate observability data, visualizations, insights, and navigation into a single unified dashboard. They enable teams to bring together multiple widgets, including KPI cards, trend charts, tables, service maps, service flows, dynamic insights, text widgets, and navigation links, to build context-aware dashboards for monitoring, troubleshooting, and operational analysis. Smart Frames allow users to access all relevant operational information from a single interface, reducing the need to switch between multiple dashboards or monitoring tools. Built-in filters, drill-down capabilities, panel interactions, and contextual navigation help users quickly investigate issues and move seamlessly between high-level summaries and detailed analysis. For more details, refer to the Smart-Frames in the user guide.

Benefits​

• Provides a centralized operational workspace for monitoring and investigation.
• Combines multiple visualizations, metrics, and insights into a single dashboard.
• Enables faster root cause analysis through interactive drill-downs and contextual navigation.
• Supports reusable dashboards for different operational and business use cases.
• Improves collaboration by providing standardized monitoring views across teams.
• Reduces dashboard switching and accelerates operational decision-making.

Smart-Frame Studio​

Smart Frame Studio is a new visual design and management workspace that enables users to create, configure, and maintain Smart Frames. It provides a guided workflow for defining dashboard metadata, adding widgets, configuring visualizations, applying filters, and reviewing configurations before publishing. The studio supports multiple visualization types, customizable widgets, advanced query building, threshold configurations, historical comparisons, formatting options, navigation links, and interactive data filters. Users can also preview Smart Frames before publishing, ensuring dashboards are validated and optimized for operational use. For more details, refer to the Smart-Frame Studio in the user guide. Smart Frame Studio is a new visual design and management workspace that enables users to create, configure, and maintain Smart Frames. It provides a guided workflow for defining dashboard metadata, adding widgets, configuring visualizations, applying filters, and reviewing configurations before publishing. The studio supports multiple visualization types, customizable widgets, advanced query building, threshold configurations, historical comparisons, formatting options, navigation links, and interactive data filters. Users can also preview Smart Frames before publishing, ensuring dashboards are validated and optimized for operational use. For more details, refer to the Smart-Frame Studio in the user guide.

Benefits​

• Simplifies Smart Frame creation through an intuitive, guided configuration workflow.
• Enables rapid development of customized operational dashboards without complex manual setup.
• Supports reusable widgets, filters, and visualization configurations for consistency across dashboards.
• Provides preview and validation capabilities before publishing Smart Frames.
• Offers extensive customization for visualizations, thresholds, formatting, historical comparisons, and interactions.
• Reduces dashboard development time while improving maintainability and standardization.

Alerts (NG Alert Engine)​

Introduction of the NG Alert Engine​

NG 3.1.0 introduces the NG Alert Engine, a new Go-based alerting framework designed to improve alert processing performance, scalability, and resource efficiency for large-scale monitoring environments. This new engine has been introduced to address the growing need for faster alert evaluations, better handling of high alert volumes, and a more scalable foundation for future alerting capabilities.

Along with the new engine, NG 3.1.0 also introduces a new and more structured alert configuration user interface through the Alert Configuration Studio. The updated UI provides a guided 7-step workflow to create alert rules in a clearer and more organized manner, making alert configuration easier to understand and manage.

A key part of this workflow is the definition of Alert Evaluation Conditions, where users can configure metrics, evaluation windows, and threshold logic that determine when an alert should trigger. Multiple conditions can be combined to build more precise and flexible alert rules.

As part of the transition to the new alerting architecture, both the existing Python-based alert engine and the new Go-based alert engine are currently supported. This allows a gradual migration path while the platform incrementally moves toward the new framework.

The NG Alert Engine also brings improved state handling, better consistency across notification channels, and enhanced configurability to support a wider range of technical and business alerting requirements. Alerts can continue to operate in both alarm and non-alarm modes and are centrally managed through the Alert Console for better visibility and control.

For more details, refer to Alert Configuration Studio (NG Alert Engine) in the user guide.

Benefits​

• Improved Performance & Scalability: Faster and more efficient alert processing with a Go-based architecture.
• Flexible Alert Logic: Supports advanced conditions, scripting, and dynamic configurations.
• Reduced Alert Noise: Intelligent alarm state handling minimizes unnecessary notifications.
• Enterprise-Ready Framework: Optimized to handle large volumes of alert rules with minimal resource usage.

PostgreSQL High Availability (HA)​

NG 3.1.0 introduces PostgreSQL High Availability (HA) support to improve database reliability and availability within the platform. This enhancement helps ensure that database services remain available even during failures, reducing downtime and improving overall platform stability.

• With this update, the platform can automatically handle database failover and recovery more effectively, helping maintain continuous operations with less manual intervention. It also provides a more resilient database setup compared to a standalone deployment and supports a smoother transition from the earlier PostgreSQL setup to the new HA-based architecture.
• This enhancement strengthens the database foundation of vuSmartMaps by improving service continuity, operational reliability, and recovery readiness.

For more details, refer to the PostgreSQL High Availability Configuration documentation.

Benefits​

• Improved Availability: Helps keep database services available during failures.
• Better Reliability: Provides a more resilient database setup for stable platform operations.
• Reduced Downtime: Supports automatic failover and recovery to minimize service disruption.
• Lower Manual Effort: Reduces the need for manual intervention during database issues.
• Smoother Migration: Supports transition from standalone PostgreSQL to a more reliable HA setup.

Application Performance Monitoring (APM)​

NG 3.1.0 significantly enhances Application Performance Monitoring (APM) with improved dashboarding capabilities using Smart Frames, advanced telemetry standardization through APM Studio, and geographic enrichment of application telemetry. Together, these enhancements provide deeper visibility into application performance, improve troubleshooting efficiency, and enable teams to gain richer business and operational insights from distributed applications.

Enhanced APM Dashboards​

The APM dashboards have been redesigned using Smart Frames and enhanced to provide more meaningful visibility into application performance, service health, request behavior, and distributed transaction flows. The updated dashboards offer improved trace analytics, service-level insights, request performance monitoring, and failure analysis, enabling teams to quickly identify bottlenecks, performance degradations, and application issues.

The enhanced dashboards leverage standardized service, request, and operation naming while incorporating richer telemetry context, making application monitoring more intuitive and actionable. For more details, refer to the APM Documentation.

Benefits​

• Improved visibility into service performance and application health.
• Faster identification of performance bottlenecks and failure patterns.
• Better correlation between services, requests, and distributed traces.
• Enhanced troubleshooting and root cause analysis capabilities.
• More meaningful business-aligned observability views.

APM Studio​

NG 3.1.0 introduces APM Studio, a centralized configuration workspace that enables organizations to standardize, classify, enrich, and control application telemetry before it is consumed by APM dashboards and analytics workflows. APM Studio helps transform raw telemetry into meaningful business context by providing centralized controls for service naming, request naming, operation naming, service classification, request classification, failure detection, and telemetry data governance. This ensures that application observability data accurately reflects business processes and operational requirements.

Key Capabilities

Naming

• Configure naming rules for services, requests, operations, and supporting services.
• Replace technical identifiers with business-friendly names for improved observability.

Classification

• Classify services and requests based on business importance.
• Prioritize critical services and transactions for monitoring and analysis.

Failure Detection

• Define custom failure detection logic using protocol errors, exceptions, span status, and business-specific conditions.
• Improve the accuracy of service health and failure analysis.

Data Control

• Manage telemetry attributes using pruning, whitelisting, and masking policies.
• Protect sensitive information and reduce telemetry noise.

For more details, refer to the APM Studio Documentation.

Benefits​

• Improves telemetry consistency and data quality.
• Enables business-centric observability.
• Enhances monitoring, troubleshooting, and root cause analysis.
• Provides greater control over telemetry processing and governance.
• Reduces operational noise and improves analysis efficiency.

GeoIP Data Enrichment for Telemetry​

A new GeoIP processor has been introduced to enrich telemetry data with geographical information based on client IP addresses. This enhancement automatically adds location-related metadata such as country, city, and region to application traces and telemetry records. By enriching telemetry with geographic context, teams can better understand where requests originate, analyze application performance across different regions, and identify location-specific performance trends or issues.

Benefits​

• Adds geographic context to application telemetry and traces.
• Provides better visibility into user and request distribution.
• Supports region-based monitoring and troubleshooting.
• Enables location-aware performance analysis and reporting.

Anomaly Detection​

NG 3.1.0 introduces Anomaly Detection, an AI-driven capability that automatically identifies unusual behavior across applications, infrastructure, and observability metrics.

• Unlike traditional threshold-based monitoring, Anomaly Detection uses adaptive forecasting models that learn historical behavior patterns and continuously adjust to changing system conditions.
• The solution continuously monitors incoming metrics, detects unexpected deviations, and helps teams identify potential issues before they impact service reliability or user experience. Users can configure anomaly detectors for specific metrics and investigate detected anomalies through dedicated analysis views that provide contextual insights, anomaly trends, and correlation analysis.
• Anomaly Detection also includes the Anomaly Explorer, which enables users to analyze anomalies across metrics, applications, journeys, and O11ySources, helping teams understand the scope, impact, and potential root causes of abnormal behavior.

For more details, refer to the Anomaly Detection documentation in the user guide.

Benefits​

• Proactive Issue Detection: Identifies abnormal behavior before it develops into service-impacting incidents.
• Adaptive Learning Models: Automatically learn normal behavior patterns and reduce dependency on static thresholds.
• Faster Root Cause Analysis: Provides contextual insights, anomaly trends, and correlation analysis for quicker investigations.
• Reduced Alert Noise: Minimizes false positives through intelligent anomaly detection and forecasting.
• Scalable Monitoring: Supports anomaly detection across large and complex environments without extensive manual tuning.

Ved AI​

NG 3.1.0 introduces Ved AI, an AI-powered assistant for vuSmartMaps that simplifies incident investigation and alert analysis through natural language interactions.

• Instead of manually navigating multiple dashboards and operational views, users can interact with Ved conversationally to investigate incidents, analyze alerts, identify trends, and perform guided root cause analysis.
• Ved provides contextual insights, structured summaries, reasoning traces, and visualizations to help teams understand operational issues more quickly and make informed decisions. With support for multi-turn conversations and context-aware investigations, users can seamlessly continue troubleshooting workflows and explore operational data through an intuitive chat-based experience.
• Ved also leverages MCP (Model Context Protocol) to securely access relevant operational data, improving response relevance and helping deliver accurate, explainable insights.

For more details, refer to the Ved AI documentation in the user guide.

Benefits​

• Conversational Investigations: Analyze incidents and alerts using natural language queries.
• AI-Assisted Root Cause Analysis: Accelerates troubleshooting through contextual insights and guided investigations.
• Explainable Responses: Provides reasoning traces and supporting sources for improved transparency.
• Interactive Operational Analysis: Supports multi-turn conversations and follow-up investigations.
• Intelligent Data Access: Uses MCP-based integrations to retrieve relevant operational information securely.

Platform Configurations​

• The module previously known as "Configurations and Preferences" has been renamed to "Platform Configurations" to align with updated terminology and improve clarity across the platform.
• In addition, the Quick Links section in this module has been redesigned for a cleaner, more structured layout. The updated design enhances panel presentation, improves active card highlighting, and ensures better visual consistency.
• Text handling has also been improved; long content is now truncated after four lines with a "Read More" option for full visibility, and tooltips appear only when text exceeds the available space. The label "View full JSON" has been simplified to "View JSON."

For more details, refer to Platform Configurations in the user guide.

Benefits​

• Clearer Module Naming: Improved terminology for better platform-wide consistency.
• Enhanced User Experience: Redesigned Quick Links and refined panel styling deliver a cleaner, more intuitive interface.
• Better Content Accessibility: Expandable content and contextual tooltips ensure important information remains accessible without cluttering the UI.

Main Menu Enhancements​

The Main Menu has been reorganized in NG 3.1.0 to provide a clearer and more structured navigation experience. Menu sections have been renamed, reordered, and recategorized to better group related capabilities under refined sections such as Observability Hub, Observability Studios, Integrations, Data Studio, and Platform Settings. In addition to the structural reorganization, individual sections have been streamlined with updated grouping and alignment to reflect the latest platform enhancements. The overall hierarchy has been improved to ensure better logical flow and usability across the application.

Quick Module Search with Ctrl + K

To help users navigate faster, NG 3.1.0 also provides a quick search option for modules. Users can press Ctrl + K to open the search interface and directly search for the required module, making it easier to quickly access specific areas of the platform without navigating through the full menu structure.

Benefits​

• Clearer Navigation Structure: Logical regrouping of sections makes it easier to understand the platform layout.
• Improved Module Organization: Related capabilities are grouped more intuitively under refined sections.
• Better Usability: Streamlined hierarchy enhances overall navigation flow across the application.
• Faster Module Access: Users can quickly search and navigate to specific modules using the Ctrl + K shortcut, reducing the need for manual menu navigation.

Data Explorer​

• In NG 3.1.0, the earlier Log Analytics capability has been enhanced and expanded to support visualization and analysis of all types of data tables, not just log tables. To reflect this broader capability, Log Analytics is now presented as Data Explorer.
• With this enhancement, users can now explore and analyze a wider range of datasets through a more flexible and unified interface.
• Data Explorer allows filtering and sorting across all table columns and automatically selects the first four columns (alphabetically) as default-visible for better organization. The interface also adapts based on the dataset structure. If a dataset does not include a timestamp field, time-based features such as the Time Filter, Live Data toggle, and Trend Chart are automatically disabled.
• A new option has also been added to view individual row details directly from the Data Table, improving record-level visibility during analysis.
• In addition, performance optimizations have been introduced to improve large-scale data analysis. These include improvements to search efficiency, validation of horizontal scaling capabilities for better performance with large data volumes, and more efficient handling of searches involving IP address fields.

For more details, refer to the Data Explorer documentation in the user guide.

Benefits​

• Expanded Data Exploration: Enables analysis and visualization of all types of data tables, beyond traditional log tables.
• Unified User Experience: Brings broader table exploration capabilities under a single Data Explorer interface.
• Improved Usability: Filtering, sorting, and default column selection make data analysis more efficient.
• Context-Aware Interface: Automatically adjusts available features based on dataset structure.
• Better Data Visibility: Allows users to view detailed information for individual records directly from the data table.
• Improved Query Performance: Optimizations help process large volumes of data more efficiently, including better handling of IP-based searches.

VQL​

The following enhancements have been made to improve usability and flexibility in VQL:

• Improved Special Character Search Handling: VQL search now provides better guidance and validation when searching with special characters. Previously, entering special characters directly in token searches could result in generic errors. Users are now prompted to use quoted searches (" ") for such cases, and search behavior has been improved to ensure accurate and consistent results.
• Enhanced VQL Support in Data Models: VQL can now be used more flexibly within Data Models to control query behavior at runtime without modifying the underlying SQL. Users can dynamically enable or disable specific parts of a query, adjust filtering, grouping, ordering, and aggregation logic, and build more adaptable Data Models while maintaining stability and consistency.

For more details, refer to the VQL documentation in the user guide.

Benefits​

• Improved Search Experience: Clearer guidance and better handling of special character searches.
• Reduced User Errors: Minimizes generic failures caused by incorrect search syntax.
• Greater Query Flexibility: Enables dynamic control of Data Model behavior without manual query modifications.
• Enhanced Usability: Simplifies runtime query customization while preserving stability.

ContextStreams​

The following enhancements have been made in NG 3.1.0 to improve debugging reliability and pipeline flexibility:

• Debug pipelines are now automatically cleaned up if a user closes the browser tab during an active debug session, preventing unnecessary resource usage.
• Block-level debugging has been corrected to display input events from the preceding block instead of incorrectly showing events directly from the Kafka topic.
• A new Multiline Logs plugin has been introduced to handle logs that span multiple lines. It combines related log lines into a single event using simple patterns, making it easier to extract important information from large multi-line log data while keeping the original logs unchanged.
• Enhancements have been made to the C24, KV, and XML plugins to improve log parsing and data extraction. The C24 plugin now supports multiple patterns for processing logs, while improvements to the KV and XML plugins help extract and process log data more accurately.
• Increased JSON Upload Size for Debugging: In ContextStreams, the JSON file upload size limit for debugging has been increased from 1 MB to 5 MB. This allows users to upload larger JSON files for preview and validation during debugging, improving flexibility when testing and troubleshooting larger sample payloads.
• Direct Topic Creation Without Mandatory Pipelines: Previously, in ContextStreams, a topic could not exist independently, and a Data Pipeline was always required. In scenarios where no transformation or enrichment was needed, users often had to create dummy pipelines only to enable data ingestion, which added unnecessary configuration overhead and additional resource usage.
  • With NG 3.1.0, users can now create topics without configuring a pipeline when no enrichment or processing is required. This reduces unnecessary load, simplifies setup, and makes data onboarding more efficient for straightforward ingestion use cases.
• Improved Data Enrichment Processing: The data enrichment workflow in ContextStreams has been improved by moving the preprocessing step directly into the data ingestion layer. Previously, a separate preprocessing pipeline was used to convert incoming enrichment data into a usable format before it could be applied in ContextStreams pipelines. With this enhancement, the conversion is now handled within the data streaming framework itself, eliminating the need for the additional preprocessing pipeline and ensuring enrichment data is processed more reliably and efficiently before being used in pipelines.
• GROK Plugin Enhancements: The GROK plugin in ContextStreams has been enhanced to improve overall performance and reliability during log parsing. Additional safeguards and usage recommendations have been introduced to guide users toward more optimized configurations, helping prevent inefficient pattern usage and ensuring smoother log processing.

For more details on debugging capabilities, refer to Debugging ContextStreams in the user guide.

To learn more about available plugins, refer to the ContextStreams Plugin documentation.

Benefits​

• Improved Resource Management: Prevents unused debug pipelines from consuming system resources.
• Accurate Debugging: Ensures correct event flow visibility during block-level debugging.
• Operational Flexibility: Simplifies data ingestion for O11ySources where transformation is not required.
• Improved Log Processing: Supports handling multiple log formats more efficiently.
• Enhanced Flexibility: Improved plugin capabilities support a wider range of log structures.
• Improved Reliability: Eliminates dependency on a separate preprocessing pipeline that could fail or require manual restarts.
• Simplified Architecture: Reduces the number of components involved in the enrichment workflow.

GSH Format Improvements - O11ySources​

The GSH (Getting Started Help) format for O11ySources has been improved to provide a clearer and more structured user experience. The documentation layout has been refined with better styling and an improved section sequence, making it easier for users to understand the onboarding steps. Installation guidance has also been enhanced to include both OmniAgent-based installation and manual installation methods, allowing users to follow the setup process based on their deployment approach.

For more details, refer to the O11ySources documentation in the user guide.

Benefits​

• Improved Readability: Better styling and structured layout make the guide easier to follow.
• Clearer Installation Guidance: Users can now choose between OmniAgent and manual installation methods.
• Better Onboarding Experience: Organized steps help users configure O11ySources more efficiently.

Dashboards​

Support for Business Chart (Volkov Labs Plugin)​

NG 3.1.0 introduces support for the Business Chart by Volkov Labs (ECharts) plugin in vuSmartMaps dashboards. This enhancement enables users to build dynamic, interactive, and highly customizable charts beyond the standard predefined visualization panels. The plugin adds significant value for business-centric and advanced analytical visualizations. With Business Chart support, users can design custom layouts, interactive visual elements, and advanced chart representations tailored to specific operational and business requirements. For more details on Business Chart, refer to Dashboards -> Business Chart in the user guide.

Benefits​

• Advanced Visualization Capabilities: Build highly customizable and interactive charts.
• Enhanced Dashboard Experience: Create dynamic business-focused visual representations.
• Greater Flexibility: Go beyond standard panel limitations for complex visualization needs.

ITSM - Platform Configurations​

The following enhancements have been made to improve ITSM integration flexibility:

• Added support for the PATCH method for ticket update operations. Previously, only standard methods such as GET, POST, and PUT were supported. With this enhancement, vuSmartMaps can now seamlessly integrate with ITSM platforms that require PATCH to update tickets, without modifying the existing endpoint structure.
• Extended the integration framework to support custom dynamic token-based authentication mechanisms. This enables connectivity with ITSM systems that use vendor-defined authentication flows that do not align with standard authentication methods currently supported by the platform.
• Introduced support for a customizable search payload in ITSM integrations. Users can now modify the search request structure to fetch issues based on custom criteria instead of relying on a fixed payload format.
• Added proxy configuration support for ITSM integrations, allowing outbound requests to be routed through enterprise proxy servers to support secure and restricted network environments.

For more details, refer to Platform Configurations - ITSM Section in the user guide.

Benefits​

• Improved Compatibility: Supports ITSM systems with specific update, authentication, and connectivity requirements.
• Greater Search Flexibility: Allows customized issue retrieval based on business-specific criteria.
• Simplified Enterprise Connectivity: Enables seamless integration in environments that require proxy-based network access.
• Seamless Integration: Supports ticket operations without requiring structural changes to existing integrations.
• Expanded Authentication Support: Allows integration with platforms using non-standard authentication mechanisms.

Browser Real User Monitoring (BRUM) V2​

NG 3.1.0 introduces BRUM V2, a new browser observability solution that provides end-to-end visibility into real user experiences across web applications. Built on an OpenTelemetry-based architecture, BRUM V2 captures browser-side telemetry, including page loads, HTTP requests, route changes, user interactions, application errors, and user sessions, helping organizations monitor application performance from the end-user perspective.

BRUM V2 introduces advanced capabilities such as session replay, trace correlation, waterfall trace analysis, user journey tracking, and enhanced performance analytics. Combined with a comprehensive set of dashboards and alerts, BRUM V2 enables faster troubleshooting, improved frontend observability, and deeper insights into application performance and user behavior.

For more details, refer to the BRUM V2 documentation in the user guide. For more details, refer to the BRUM V2 documentation in the user guide.

Benefits​

• Enhanced User Experience Visibility: Provides real-time insights into how users interact with web applications.
• Advanced Session Analytics: Enables user journey analysis, session replay, and detailed session-level troubleshooting.
• Improved Frontend Observability: Monitors page loads, route changes, user interactions, errors, and browser performance metrics.
• Faster Root Cause Analysis: Correlates browser telemetry with traces and waterfall visualizations for quicker issue investigation.

Mobile Real User Monitoring (MRUM)​

• NG 3.1.0 enhances Mobile Real User Monitoring (MRUM) with expanded platform support, richer observability dashboards, advanced session analytics, and improved monitoring capabilities for mobile applications.
• MRUM provides real-time visibility into how users experience mobile applications by capturing key performance and user experience metrics such as screen load times, API latency, crashes, errors, user interactions, and session activity. In this release, MRUM has been extended to support Android Native, Flutter, and iOS applications, enabling comprehensive monitoring across multiple mobile platforms.
• The release introduces enhanced dashboards for application overview, screens, APIs, user sessions, traces, geographical insights, and performance analysis. New capabilities such as ANR (Application Not Responding) monitoring, slow render detection, trace visualization, user journey analysis, and proactive alerting help teams identify performance bottlenecks, stability issues, and user-impacting problems more quickly.

For more details, refer to the MRUM documentation in the user guide. For more details, refer to the MRUM documentation in the user guide.

Benefits​

• Expanded Platform Coverage: Supports Android Native, Flutter, and iOS applications through a unified monitoring framework.
• Comprehensive User Experience Visibility: Provides real-time insights into application performance, user interactions, and session behavior.
• Enhanced Observability Dashboards: Delivers detailed visibility into screens, APIs, sessions, traces, crashes, and geographical usage patterns.
• Faster Performance Issue Detection: Helps identify crashes, ANRs, slow renders, and application bottlenecks more quickly.

Synthetic Browser Journey Monitoring​

NG 3.1.0 enhances Synthetic Browser Journey Monitoring with support for Internet Explorer (IE) mode, enabling organizations to monitor and validate business-critical workflows that depend on legacy browser compatibility. This enhancement allows synthetic journeys to be executed in IE mode, helping ensure continued visibility into applications that require Internet Explorer-specific functionality. For more details, refer to the Synthetic Browser Journey Monitoring documentation in the user guide. NG 3.1.0 enhances Synthetic Browser Journey Monitoring with support for Internet Explorer (IE) mode, enabling organizations to monitor and validate business-critical workflows that depend on legacy browser compatibility. This enhancement allows synthetic journeys to be executed in IE mode, helping ensure continued visibility into applications that require Internet Explorer-specific functionality. For more details, refer to the Synthetic Browser Journey Monitoring documentation in the user guide.

Benefits​

• Legacy Browser Support: Enables monitoring of applications that require Internet Explorer compatibility.
• Expanded Monitoring Coverage: Extends synthetic monitoring capabilities to IE-mode workflows.

Reports​

Introduction Page Added to Generated Reports​

Reports generated using Report Builder now include an introduction (cover) page when downloaded in PDF format. This page appears before the main report content, providing a structured start to the document. For more details, refer to the Report Builder documentation in the user guide. Reports generated using Report Builder now include an introduction (cover) page when downloaded in PDF format. This page appears before the main report content, providing a structured start to the document. For more details, refer to the Report Builder documentation in the user guide.

Benefits​

• Improved Presentation: Adds a professional cover page to downloaded reports.
• Better Report Structure: Clearly separates introductory information from report content.

Data Retention​

Enhanced Data Restore Handling​

• The data restore process has been enhanced to restore archived data directly into the original table from which it was backed up. Restored data is now treated as part of the main table instead of being managed separately.
• Previously, when archived data was restored, it was created as a separate table with a restored prefix. Although this restored data could be queried, it did not get reflected in platform visualizations, which limited its usability and created inconsistency between query results and visual analysis.
• With NG 3.1.0, this limitation has been addressed by restoring data directly into the original table, ensuring that restored data is available consistently for both querying and visualization.
• A new configurable setting has also been introduced to define how many days of restored data should be retained in the main table. The earlier default retention policy for restored tables has been removed to provide more controlled and consistent data lifecycle management.

For more details, refer to the Data Retention documentation in the user guide.

Benefits​

• Unified Data Handling: Restored data is managed within the original table.
• Configurable Retention Period: Administrators can define the retention duration for restored data.
• Improved Lifecycle Control: Provides clearer and more consistent retention management for restored partitions.

Java Agents Benchmarking​

• A Java Agents Benchmarking report has been introduced to provide detailed insights into the performance and resource utilization of VuNet agents. The report evaluates both Health Probe (metrics collection) and Log Probe (log collection) agents across multiple operating systems such as Linux, Windows, and AIX.
• The benchmarking tests validate agent behavior under various operational scenarios, including continuous monitoring, high-throughput log ingestion, and large-scale environments. The results confirm that VuNet agents maintain low CPU overhead, stable memory usage, and predictable performance while monitoring system metrics and collecting logs.
• This report helps organizations better understand agent resource consumption and supports informed decisions during deployment and infrastructure planning.

For more details, refer to the Agent Benchmarking External documentation.

Benefits​

• Improved Deployment Planning: Provides visibility into agent resource usage before deployment.
• Operational Transparency: Offers clear insights into how agents perform under different workloads.
• Reliable Monitoring: Validates that agents operate with minimal impact on host systems.
• Production Readiness: Confirms stable and predictable performance across supported environments.

SMS Integration Enhancements​

SMS integration has been enhanced to support OAuth-based authentication for improved security. With this update, SMS requests can now be authenticated using OAuth instead of relying solely on API key-based access. This enhancement strengthens the security of SMS communication by aligning the integration with modern authentication standards.

Benefits​

• Enhanced Security: Supports OAuth-based authentication for SMS requests.
• Improved Access Control: Strengthens authentication for SMS communication.
• Modern Integration Standards: Aligns SMS integration with standard authentication mechanisms.

OpenTelemetry Collector Upgrade​

The OpenTelemetry Collector has been upgraded from v0.113.1.0 to v0.138.0 to improve the efficiency, reliability, and compatibility of telemetry data collection. This upgrade enhances how logs and metrics are processed and exported, ensuring smoother data handling across observability pipelines. The update also improves overall compatibility and stability of telemetry data flow within the platform.

Benefits​

• Improved Data Handling: Enhances the processing of logs and metrics.
• Better Performance: Ensures smoother and more efficient telemetry collection.
• Greater Stability: Improves reliability of telemetry data export and processing.

Improved Kafka Data Ingestion​

Data ingestion from Kafka has been enhanced to improve performance and efficiency. The platform now supports storing incoming Kafka data using an optimized JSONAsString format, which enables faster data processing and improved ingestion throughput. With this enhancement, new O11ySources automatically use the improved format, and existing configurations can be updated to adopt the new ingestion method.

Benefits​

• Faster Data Ingestion: Improves Kafka data ingestion performance.
• Better Processing Efficiency: Optimized format enhances overall data handling.
• Seamless Adoption: New O11ySources automatically use the improved ingestion approach.

Alert Console and Alert Email Enhancements​

Based on feedback from CSG, NG 3.1.0 includes enhancements to the Alert Console and alert notification channels to provide better control over contextual information visibility.

• Users can now choose to disable Contextual Metrics in the Alert Console and email notification channels through a configuration option. When disabled, contextual metrics will not be displayed, resulting in a cleaner and more focused alert view.
  • This option has been introduced to address cases where, in multi-bucket alert scenarios, contextual metrics could display additional entities that were not directly relevant to the primary alert condition. By allowing this to be disabled, alerts and notifications can remain more concise and focused on the most relevant breached entity. For more details, refer to Alert Configuration Studio -> Disabling Contextual Metrics in Alert Console in the user guide.
• Improved Similar Events Display: When the number of similar incidents exceeds the system tracking limit, the alert email will now indicate that more than 30 incidents were detected instead of displaying fixed counts.
• Dynamic Platform URL in Alert Emails: Alert email footers now include a dynamically generated link to the customer's vuSmartMaps platform for easier access.
• Clearer Alarm State Notifications: Alert emails now display simplified messages for Alarm New, Alarm Update, and Alarm Clear events to make the alert status easier to understand.
• Cleaner Alert Console View: Information sections without data are now hidden to avoid empty tables and improve readability.
• Improved Handling of Missing Data: When contextual information is not available, the system now displays a clear message instead of showing errors.
• Configurable Contextual Information: Users can now enable or disable contextual information tables in alert emails through configuration.

Benefits​

• Better Control Over Contextual Visibility: Users can choose whether contextual metrics should be displayed in the Alert Console and email notifications.
• Cleaner Alert Presentation: Reduces unnecessary contextual details for a more focused alert view.
• Improved Alert Relevance: Helps ensure alert details remain centered on the most relevant breached entity, especially in multi-bucket scenarios.
• Clearer Alert Notifications: Easier to understand alert emails and status messages.
• Better Navigation: Alert emails now include a direct link to the customer's platform.
• Flexible Configuration: Users can control whether contextual information appears in alert emails.

Platform Security Improvements​

NG 3.1.0 includes security improvements based on the latest vulnerability assessments and security checks conducted across the platform. Updates have been made in the following areas:

• Web Application Security
• API Security
• Container Security
• Network Security
• Compliance-related Security Checks

These improvements strengthen the platform's overall security posture and readiness for internal validation and future deployments.

Benefits​

• Improved Security Posture: Addresses identified security gaps across key platform areas.
• Reduced Risk Exposure: Helps minimize known risks across web, API, container, and network layers.
• Better Compliance Readiness: Improves alignment with security and compliance review requirements.

HyperScale​

NG 3.1.0 introduces enhancements to HyperScale environments through automated database issue resolution capabilities and an upgrade of the underlying ClickHouse database platform.

• Automated scripts have been introduced to help resolve certain database issues that may occur in HyperScale environments, such as operations getting stuck or tables becoming unavailable for updates. These scripts help restore normal database functionality more quickly and reduce the need for manual troubleshooting. For more details, refer to the CH Resolution Scripts document.
• In addition, HyperScale environments now support an upgrade of ClickHouse from version 25.3 to 26.2. This upgrade addresses limitations impacting certain O11ySources, including SNMP-based monitoring scenarios, and provides access to newer ClickHouse capabilities that support future platform enhancements.

Benefits​

• Improved Database Reliability: Helps maintain stable database operations in HyperScale environments.
• Faster Issue Resolution: Automated scripts reduce recovery time for common database issues.
• Enhanced O11ySource Compatibility: Addresses ClickHouse limitations impacting specific monitoring use cases.

Known Issues​

S. No.	Ticket No.	Issue	Severity
1	VUQA-6890	[Report Genration]: Report is not getting generated intermittently in some environments and on vunodes restart it again starts working	S1
2	VUQA-6879	[Site-Manager] - Dspec apply operation is failing	S1
3	VUQA-6870	O11y Traces Source Not Recreated After OmniAgent Reinstallation - Trace Data Collection Stops	S1
4	VUQA-5798	DataRetention: Backup size validation should be done before deleting the backup.	S2
5
6	VUQA-4947	User Management: Help text is not proper in User role	S2
7	VUQA-5273	User Management:Write access to a data model should not be downgraded by assigning read access to an alert	S2
8	VUQA-5687	User specific view - Data Source permissions not being reflected in the Report Builder section.	S2
9	VUQA-6520	Alertconsole - Timezone selection is ignored on date picker ; defaults to system time.	S2
10	VUQA-6423	[Automation]: Facing Auto Logout issue while performing operation.	S2
11	VUQA-6420	Platform Configuration [ITSM]: The "Password" field is actually an API key.	S2
12	VUQA-6376	Data Model : Unable to edit Data Model object despite having modify permission on the object	S2
13	VUQA-6374	Insight : Permission error occurs while saving Insight object despite having modify permission	S2
14	VUQA-6283	[Scale & Performance][Go Engine]: Alert Engine behaviour for 2 Lakh unique records.	S2
15	VUQA-6297	User Federation: Getting Error when we click on Test Authentication while editing LDAP config.	S2
16	VUQA-6235	[Reports]: Multiple reports having the same schedule is failing.	S2
17	VUQA-6180	[LDAP]: Incorrectly configuring and enabling LDAP is not letting admin access users page	S2
18	VUQA-6037	Omniagent: If omniagent installed as user service, install command able to attempt to install as system service	S2
19	VUQA-5687	User specific view - Data Source permissions not being reflected in the Report Builder section.	S2
20	VUQA-6840	BRUM App Summary Dashboard Displays Core Web Vitals (LCP, INP, CLS) as Zero	S2
21	VUQA-5650	Errors in the Kafka connect Monitoring Dashboard.	S3
22	VUQA-5138	Log Analytics: Save button should be disabled for the role who doesn't have access to the table	S3
23	VUQA-5130	UTM: The Non existing Data model still shows up in UTM	S3
24	VUQA-5313	Report : Target and Avg_CPU name should be corrected in downloaded reports	S3
25	VUQA-6883	Fortinet Firewall CPU & Memory Usage Panels Showing 'No Data' in VuSmartMaps	S3
26	VUQA-5144	Report Generation : There is no < / > / == / != filter for download count field in Generated Reports tab	S4

*S5, S4, S3 & S2 issues will be prioritized in the NG 3.1.0 release. S1 - Critical. S2 - Major, S3 - Moderate, S4 - Minor, S5 - Cosmetic.

Issues Fixed​

S. No.	Ticket No.	Issue	Severity	Status
1	VUQA-5596	ContextStreams: UI Issues in Plugin Selection and Processing Block Edit in Pipelines Page. PFA for issue details.	S2	Fixed in NG 3.1.0
2	VUQA-5705	Context Streams : Debug services are not getting deleted when it is not in use	S2	Fixed in NG 3.1.0
3	VUQA-5699	User roles: Creating of new role is not getting reflected immediately in the User page.	S2	Fixed in NG 3.1.0
4	VUQA-5697	Table listing issues in the Data Model Page	S2	Fixed in NG 3.1.0
5	VUQA-5693	Scheduling fails only for custom time range.	S2	Fixed in NG 3.1.0
6	VUQA-5949	[Weblogic]: Issue in the Weblogic plugin configuration.	S2	Fixed in NG 3.1.0

Release Attributes​

Build/Module Name

NG 3.1.0

User Guide

Host Landscape OmniAgent O11ySources Application Workbench Alert Configuration Studio (NG Alert Engine) APM APM Studio Smart-Frames Smart-Frame Studio Anomaly Detection Ved AI Platform Configurations Data Explorer VQL O11ySources - Getting Started Dashboards -> Business Chart Platform Configurations - ITSM Section BRUM V2 MRUM Synthetic Browser Journey Monitoring Report Builder Data Retention Alert Configuration Studio -> Disabling Contextual Metrics in Alert Console

System Requirements​

The supported browser version is Chrome 109 or above.

Upcoming Release​

We are preparing for the upcoming vuSmartMaps NG 3.1.1 release, which will introduce additional observability capabilities, platform enhancements, usability improvements, and operational innovations across the platform. The release will continue to expand automation, AI-driven analytics, observability coverage, and user experience monitoring to help organizations gain deeper operational visibility and improve monitoring efficiency.

Support​

support@vunetsystems.com