View logs directly associated with your spans in the trace details view. This powerful correlation feature helps you quickly understand what happened during a span's execution by showing relevant log entries alongside your trace data.
When viewing a span in trace details v2, you can now access a "Logs" tab that displays:
Click on any log entry to jump directly to the logs explorer with pre-applied filters for deeper investigation. The explorer automatically filters by both trace ID and span ID, making it easy to continue your debugging workflow.
This feature significantly reduces the time spent correlating traces and logs, giving you a complete picture of your application's behavior in one unified view.
Legacy alertmanager has been removed in favor of the inbuilt signoz alertmanager for improved reliability and feature support.
Export your log data directly from the Logs Explorer with flexible options. Choose your preferred format (CSV or JSONL), select how many rows to export (10k, 30k, or 50k), and decide whether to include all columns or just the ones visible in your current view.
The export preserves your active filters and time range, making it easy to share specific insights with your team or perform offline analysis.
Smart Span Highlighting - When searching within a trace, matching spans are now visually highlighted while others are dimmed, making it instantly clear which spans match your search criteria. No more hunting through hundreds of spans to find what you're looking for.
Resizable Trace Sidebar - Customize your workspace by dragging to resize the trace details sidebar. Whether you need more room for the flamegraph or want to see detailed span attributes, you're in control of your layout.
Span Hover Cards - Get instant insights without clicking. Hover over any span to see key information like duration, service name, and status in a convenient popup card. Perfect for quickly scanning through traces without losing context.
These improvements work together to create a more fluid trace analysis workflow, helping you identify issues faster and understand system behavior at a glance.
New query capabilities make it easier to search and filter your data with improved text search and helpful validations.
hasToken Function Support - Search for specific tokens within text fields using the new hasToken function in Query Builder. Perfect for finding logs or traces containing specific keywords, error codes, or identifiers without complex regex patterns.
LIKE/ILIKE Operation Warnings - Get helpful warnings when using LIKE or ILIKE operators without wildcard characters (% or _). This prevents common mistakes where queries return no results because wildcards were forgotten, saving debugging time and ensuring your filters work as intended.
Join us for Launch Week 5.0 from September 8-12 at 9 AM PT. Five days of major feature announcements, live demos, and deep dives into what's new in SigNoz.
Follow the upgrade guide to update the ClickHouse version to 25.5.6. You can also use our upgrade path tool to identify the exact steps you need to take.
Your dashboards are now fully interactive. Click directly on any data point in your panels to drill down and explore - no more opening new tabs and manually recreating queries.
Key capabilities:
This works with all your existing dashboards built with the query builder - no migration needed.
You can now query spans based on their relationships within a trace. Find spans where the root span has specific attributes, where the parent span encountered an error, or where any span in the trace matches certain criteria. This gives you deeper correlation capabilities for debugging distributed systems.
Examples of what you can now do:
Pin important span attributes for easier access and visibility in the trace explorer. This helps you keep critical attributes always visible while investigating traces.
When updating dashboards via API key, you can now delete multiple panels in a single operation, making programmatic dashboard management more efficient.
Press Cmd+K (Mac) or Ctrl+K (Windows/Linux) to instantly access any page, search for actions, or navigate using keyboard shortcuts. The palette shows all available shortcuts like Shift+H for Home, Shift+T for Traces, and Shift+L for Logs, making navigation faster without touching your mouse. This is especially useful when you're debugging issues and need to quickly jump between different modules.
The command palette includes:
HTTP status codes are now prominently displayed as colored badges in the trace details view. When examining traces in the waterfall or flamegraph views, you'll instantly see status badges (200, 404, 500, etc.) on each span, making it easier to spot errors and understand request outcomes at a glance. The badges use intuitive color coding like green for successful requests (2xx), yellow for redirections (3xx), orange for client errors (4xx), and red for server errors (5xx).
The status badges appear in:
The new Cost Meter provides comprehensive visibility into your observability costs across all telemetry signals. Track your data ingestion patterns in real-time with hourly aggregation and understand exactly where your observability budget is going.
Key capabilities:
Access Cost Meter directly from the sidebar navigation to start optimizing your observability spend.
The new date picker provides separate date and time inputs for more precise control, real-time validation to prevent invalid ranges, and clear timezone indicators. Custom time ranges are now easier to set and persist when reopening the picker.
service.name IN 'cartservice' converting to service.name IN []).The query builder has been completely rewritten to support more powerful and flexible data exploration.
Key enhancements:
SigNoz is now available as a cobra command CLI. Running signoz --help gives you access to OpenTelemetry-native logs, metrics and traces in a single pane with the following commands:
help - Help about any commandserver - Run the SigNoz server
The span details drawer tabs now display item counts directly in the tab headers.
Trace funnels now support unlimited steps, removing the previous 3-step limitation.
key CONTAINS value filter not working with numeric values, allowing proper filtering of numeric fields in logs and traces.Added entrypoint spans toggle to the key operations table. When enabled, filters to show only spans where requests first enter the service from upstream services, hiding internal downstream spans for a cleaner high-level view.
Added system theme option to automatically follow your OS dark/light mode preference and updated the app loading screen.
Added JSON flattening support in log pipelines to simplify nested JSON structures for better querying and analysis.
This feature helps you parse complex nested JSON logs into flattened structures, making it easier to query and analyze log data in SigNoz.
We've added new datasource documentation to the onboarding screen to help you get started faster with existing integrations.
Restored access to ingestion keys and settings for self-hosted users with licenses. Self-hosted users can now view and manage ingestion keys directly in the SigNoz interface and access ingestion settings for both admin and editor roles.
We have deprecated the exporter clickhousemetricswrite, and only the dot metrics exporter signozclickhousemetric will remain available. Please remove the deprecated exporter from your setup by following the instructions in the guide, as the final step in completing the Dot Metrics Migration.
We're migrating from underscore-based metric names (system_memory_usage) to dot-based metric names (system.memory.usage) to align with OpenTelemetry semantic conventions. This gives you better namespacing and improved compatibility across all your observability signals.
What you need to do: Your existing alerts and dashboards need to be migrated to use the new dot-based metric names. We've created migration scripts that handle this automatically for you.
The migration is a one-time process and the scripts are safe to run multiple times. We support all deployment types: Kubernetes, Docker, and Linux binary installations.
Migration Guide → Community Edition
If you're using API keys to query metrics directly, you may need to update your integrations to reflect the new metric and label formats. For all other users, absolutely nothing. The migration is fully managed by our team, and your dashboards, alerts, and queries will continue to operate without any changes.
Migration Guide → Cloud
Trace funnel feature is now complete with analytics APIs and queries. You can analyze user journeys and conversion funnels directly from your traces, including funnel validation, step-by-step analytics, and identification of slow or error traces in your user flows.
Span events now appear as blue indicators on the timeline in both waterfall and flamegraph views. You'll immediately spot where events occur within each span's execution. This was a highly requested feature from our cloud users.
Decluttered sidebar with pinning options. You can now pin only what's important for your workflow and customize the navigation based on your needs.
You'll now see changelog notifications right in your SigNoz dashboard when newer versions are available, starting with this update.
Community Edition:
opamp-go version with enhanced opamp server functionality, improved logging, and better connection handling.
Monitor your Amazon EKS clusters with comprehensive metrics including API server requests, error rates, and resource utilization. Get prebuilt dashboards showing control plane health and container insights with CPU and memory usage by pod, making it easy to track your Kubernetes workloads performance.
ECS integration now includes detailed container-level monitoring with CPU usage, memory utilization, and resource allocation metrics. View container performance alongside your ECS cluster metrics with dedicated dashboards for complete visibility into your containerized applications.
Save metric queries with custom names and colors at the bottom of the explorer, then access all saved queries (yours and your team's) in the ‘Views’ tab with details like who created them and when, making it easy to return to important queries later.
NoRecordedValue data points from metric calculations.