modified features section based on review

Author: simranquirky

docs/features/distributed-tracing.md

@@ -12,17 +12,23 @@ Distributed tracing in OpenObserve allows you to visualize the complete journey
 ## Key Features
 
 ### Trace Ingestion
+
 - **OpenTelemetry Native**: Full support for OpenTelemetry protocol with automatic trace collection
-- **Multiple Protocols**: Compatible with Jaeger, Zipkin, and custom tracing formats
+
+![OpenTelemetry Native](../images/features/traces-otel-support.png)
+
 - **High Throughput**: Process millions of spans per second with sub-millisecond latency
-- **Sampling Strategies**: Intelligent sampling to balance observability with performance impact
-- **Batch Processing**: Optimized batch ingestion for maximum efficiency
 
 ### Trace Structure & Data
+
 - **Hierarchical Spans**: Complete trace trees showing parent-child relationships between operations
+
+![Hierarchical Spans](../images/features/trace-spans.png)
+
 - **Rich Metadata**: Capture detailed span attributes, tags, and contextual information
-- **Error Tracking**: Automatic error detection and classification within traces
-- **Service Mapping**: Dynamic service topology discovery and visualization
+
+![Rich Metadata](../images/features/traces-metadata.png)
+
 - **Custom Instrumentation**: Support for manual and automatic instrumentation
 
 ### Trace Analysis & Search
@@ -31,43 +37,35 @@ Distributed tracing in OpenObserve allows you to visualize the complete journey
 
 ![Trace Search](../images/features/trace-search.png)
 
-- **Dependency Analysis**: Visualize service dependencies and communication patterns
-
 - **Performance Profiling**: Identify slow operations and bottlenecks across your distributed system
 
 - **Error Investigation**: Quickly locate and analyze failed requests and exceptions
 
-### Visualization & Insights
-
-- **Gantt Chart Views**: Interactive timeline visualization showing span relationships and durations
-
-- **Service Map**: Real-time service topology with performance metrics and error rates
+![Error Investigation](../images/features/trace-error.png)
 
-- **Flame Graphs**: Detailed performance analysis with hierarchical span breakdown
 
-- **Trace Comparison**: Side-by-side comparison of traces for performance analysis
+### Visualization & Insights
 
-### Correlation & Context
+- **Gantt Chart Views**: Interactive timeline visualization showing span relationships and durations
 
-- **Metrics Correlation**: Link traces to related metrics and logs for complete observability
+![Traces Gnatt Chart View](../images/features/trace-timeline.png)
 
-- **Log Integration**: Automatic correlation between trace spans and application logs
+- **Service Map**: Real-time service topology with performance metrics and error rates
 
-- **Alert Integration**: Trigger alerts based on trace patterns, error rates, and performance thresholds
+![Traces Service Map](../images/features/traces-service-map.png)
 
 ### Storage & Performance
 
 - **Efficient Compression**: Advanced compression techniques reduce storage overhead by up to 85%
 
 - **Smart Indexing**: High-performance indexing optimized for trace queries and span searches
 
-- **Tail-based Sampling**: Intelligent sampling decisions based on complete trace context
+![Smart Indexing](../images/features/trace-settings.png)
 
 - **Retention Management**: [Flexible retention policies](../user-guide/streams/extended-retention.md) for cost-effective long-term storage
 
 ### Integration & Standards
 - **OpenTelemetry Ecosystem**: Full compatibility with OpenTelemetry collectors and instrumentation libraries
-- **Jaeger Integration**: Seamless migration from Jaeger with native protocol support
-- **Zipkin Compatibility**: Support for Zipkin trace format and existing instrumentation
-- **Cloud Native**: Native Kubernetes integration with automatic service discovery
+- **Jaeger and Zipkin Compatibility**: Supports ingestion from Jaeger and Zipkin via OpenTelemetry Collector
+- **Kubernetes-Friendly:** Easily integrates into Kubernetes environments via OpenTelemetry Collector with support for service metadata enrichment.
 - **API Access**: Comprehensive REST APIs for programmatic trace access and analysis

docs/features/frontend.md

@@ -1,109 +1,50 @@
 # Frontend Observability
 
-OpenObserve provides comprehensive frontend observability capabilities that enable you to monitor user experiences, track performance metrics, and diagnose issues in web applications and mobile apps. Gain complete visibility into how users interact with your frontend applications and ensure optimal user experience across all devices and browsers.
+OpenObserve provides robust frontend observability tools that help monitor user experience, track performance metrics, and capture errors in web applications. With minimal overhead, you can gain deep visibility into how users interact with your frontend—ensuring smooth performance across devices and browsers.
 
 ## Overview
 
-Frontend Observability in OpenObserve allows you to monitor real user experiences, track Core Web Vitals, capture JavaScript errors, and analyze user journeys across your web and mobile applications. Built for modern frontend architectures, OpenObserve efficiently collects, processes, and analyzes frontend telemetry data while maintaining minimal impact on application performance.
+Frontend Observability in OpenObserve enables real user monitoring, performance tracking (including Core Web Vitals), JavaScript error capture, and session replay. These tools are optimized for modern frontend architectures and come with a lightweight SDK for easy integration.
+
 
 ## Key Features
 
 ### Real User Monitoring (RUM)
-- **User Session Tracking**: Complete user session recording with interaction timelines
-- **Page Performance**: Detailed page load times, rendering metrics, and resource loading analysis
-- **Core Web Vitals**: Automatic tracking of LCP, FID, CLS, and other Google Core Web Vitals
-- **Geographic Insights**: User experience analysis by geographic location and network conditions
-- **Device & Browser Analytics**: Performance breakdowns by device type, browser, and OS
-
-### [Error Tracking & Debugging](../user-guide/rum.md#error-tracking)
-
-- **JavaScript Error Capture**: Automatic collection of JavaScript errors, exceptions, and promise rejections
-
-- **Source Map Integration**: Detailed stack traces with original source code for minified applications
-
-- **Error Context**: Rich error context including user actions, browser state, and session information
-
-- **Error Grouping**: Intelligent error grouping and deduplication for efficient issue management
-
-### [Performance Monitoring](../user-guide/rum.md#performance-monitoring)
-
-- **Page Load Analytics**: Comprehensive page load performance with waterfall charts and timing breakdowns
-
-- **Resource Monitoring**: Track loading times for images, scripts, stylesheets, and API calls
-
-- **Runtime Performance**: Monitor JavaScript execution times, memory usage, and CPU utilization
-
-- **Custom Performance Metrics**: Track application-specific performance indicators and business metrics
-
-### User Experience Analytics
-
-- **User Journey Mapping**: Visualize complete user paths through your application
 
-- **Interaction Tracking**: Monitor clicks, scrolls, form submissions, and custom user interactions
+- **Page Load Performance**: Track FCP, LCP, and other performance indicators
 
-- **Rage Click Detection**: Identify user frustration points with automatic rage click detection
+- **Web Vitals Monitoring**: Automatically capture Google's Core Web Vitals
 
-- **Conversion Funnel Analysis**: Track user conversion rates and identify drop-off points
+![Web Vitals Monitoring](../images/features/frontend-webvitals.png)
 
-### Network & API Monitoring
+- **Geographic & Device Context**: Analyze user experience by browser, device, and approximate location.
 
-- **AJAX/Fetch Tracking**: Monitor all HTTP requests with response times, status codes, and payload sizes
+- **Network Insights**: Track HTTP requests and network timing
 
-- **API Performance**: Detailed API call analysis with success rates and error patterns
 
-- **Network Conditions**: Track user network speed and connection quality impact on performance
+### [Error Tracking](../user-guide/rum.md#error-tracking)
 
-- **Third-Party Service Monitoring**: Monitor external service dependencies and their impact on user experience
+- **JavaScript Errors**: Automatically capture exceptions and errors with full stack traces
+- **Source Maps**: View original source files when source maps are uploaded.
+- **Error Context**: Includes user session metadata and browser details
 
-### Browser & Device Insights
+![Error Tracking](../images/frontend/error-tracking.webp)
 
-- **Browser Compatibility**: Identify browser-specific issues and compatibility problems
+### [Session Replay](../user-guide/rum.md#session-replay)
 
-- **Device Performance**: Analyze performance across different device capabilities and screen sizes
+- **User Interaction Recording**: Replay user sessions to understand behavior and debug issues
 
-- **Viewport Analytics**: Understanding of how users interact with different screen resolutions
+![User Interaction Recording](../images/features/user-interaction.png)
 
-### [Session Replay & Recording](../user-guide/rum.md#session-replay)
+- **Event Timeline**: View DOM changes, clicks, inputs, and navigation in order
 
-- **Session Recordings**: Visual playback of user sessions for detailed investigation
+![Event Timeline](../images/features/event-timeline.png)
 
-- **Privacy Controls**: Configurable data masking and privacy protection for sensitive information
+- **Privacy Features**: Configurable masking for sensitive fields
 
-- **Event Timeline**: Synchronized timeline of user actions, network requests, and application state
-
-- **Issue Correlation**: Link session recordings to specific errors and performance issues
-
-
-### Mobile App Observability
-
-- **Crash Reporting**: Comprehensive crash reporting for iOS and Android applications
-
-- **App Performance**: Monitor app launch times, screen rendering, and memory usage
-
-- **User Engagement**: Track app usage patterns, feature adoption, and user retention
-
-- **Network Performance**: Monitor API calls and network conditions in mobile environments
-
-### Data Collection & Privacy
-
-- **Lightweight SDKs**: Minimal impact JavaScript and mobile SDKs with optimized performance
-
-- **Sampling Strategies**: Intelligent sampling to balance data quality with performance impact
-
-- **GDPR Compliance**: Built-in privacy controls and data anonymization features
-
-- **Custom Data Collection**: Flexible APIs for collecting custom frontend metrics and events
 
 ## Integration
 
-### Web Applications
-- **JavaScript SDK**: Easy integration with vanilla JavaScript, React, Vue, Angular, and other frameworks
-- **NPM Package**: Simple installation via package managers with TypeScript support
-- **CDN Integration**: Quick setup with CDN-hosted SDK for immediate implementation
-- **Framework Plugins**: Native plugins for popular frameworks and build tools
-
-### CI/CD Integration
-- **Build Integration**: Integrate observability setup into your build and deployment pipelines
-- **Source Map Upload**: Automatic source map upload for enhanced error debugging
-- **Performance Budgets**: Set performance budgets and fail builds on regression
-- **Release Tracking**: Correlate frontend performance with deployments and releases
+- **Web SDK**: Easily add via CDN or NPM (`@openobserve/browser-rum`)
+- **Framework Support**: Works with vanilla JS, React, Vue, Angular, and more
+

docs/features/logs.md

@@ -12,13 +12,13 @@ Logs in OpenObserve offer comprehensive observability into your system's behavio
 ## Key Features
 
 ### Log Ingestion
-- **Multiple Protocols**: Support for various log shipping protocols including HTTP, syslog, and popular log shippers
+- **Multiple Protocols**: Support for multiple ingestion methods including HTTP and integration with popular log shippers like FluentBit, Vector, etc.
 - **Structured & Unstructured**: Handle both JSON structured logs and plain text logs
 - **Real-time Processing**: Immediate indexing and availability for search and analysis
 
 ### Search & Query
 
-- **Field Extraction**: Automatic parsing and extraction of log fields. 
+- **Field Extraction**: Automatic field detection and parsing for structured data.
 
 ![Field Extraction](../images/features/log-feilds-detection.png)
 
@@ -28,11 +28,11 @@ The [Schema Settings](../user-guide/streams/schema-settings.md) tab in the Strea
 
 ![Full-text Search](../images/features/log-settings.png)
 
-- **SQL Queries**: Use familiar SQL syntax for complex log analysis
+- **SQL Queries**: Use familiar SQL syntax for complex filtering and aggregation.
 
 ![SQL Queries](../images/features/sql-based-log-search.png)
 
-- **Time-based Filtering**: Efficient time range queries for targeted log exploration
+- **Time-based Filtering**: Query logs within specific time windows using absolute or relative ranges.
 
 ![Time-based Filtering](../images/features/time-selection.png)
 

docs/features/metrics.md

@@ -12,10 +12,10 @@ Metrics in OpenObserve enable you to track key performance indicators, monitor s
 ## Key Features
 
 ### Metrics Ingestion
-- **Multiple Formats**: Support for various metrics formats including Prometheus, InfluxDB, and JSON
-- **Push & Pull Models**: Flexible ingestion supporting both push-based and pull-based collection methods
+- **Multiple Formats**: Support for multiple formats including Prometheus remote-write and structured JSON metrics via HTTP ingestion.
+- **Push & Pull Models**: Supports push-based ingestion and integration with systems like Prometheus for pull-based scraping.
 - **High Throughput**: Handle millions of metrics per second with minimal latency
-- **Batch Processing**: Efficient batch ingestion for optimal performance
+- **Optimized Processing**: Optimized ingestion pipelines for high-throughput environments.
 
 ### Data Types & Structure
 - **Time Series Data**: Native support for time-series metrics with timestamp precision