Changelog

Specify regex for Remapping extraction rules, and a bunch of improvements in Logs Explorer.

View queries used in a dashboard panel, UX improvements, and download logs aggregation query results.

Last9’s native UI for dashboards starting with a default APM template and the option to save log aggregation queries to a dashboard.

View and manage each streaming aggregation rule on their own with autocomplete and selection of supported functions, and other improvements.

View summary charts for aggregated log queries along with a summary table, and other improvements.

Live Tail will keep running without crashing your browser, see who all are admin users, improvements to the Logs Volume chart, and more.

Save and share Logs Explorer queries written in Editor mode, and open Scheduled Search notification links in Logs Explorer.

For power users, toggle from Builder to Editor mode to write advanced queries with full support for LogQL.

Load in seconds instead of timing out when >300GB of logs are queried, plus get rid of some annoying UX issues with chips in the query builder

Updates to how query search conditions are handled, option to select any timezone, and restrict access to update certain ingestion and storage settings to admins only.

Improve productivity and collaboration with Query Library to quickly access recent and saved log queries that you and your team frequently use.

Added ability to ingest ELB logs from your AWS S3 bucket, reference resource attributes from logs ingested via Fluent Bit while mapping, and map values from log attributes to be used as severity.

View latency distribution and identify outliers to help with RCAs and improving system performance, and improvements to Related Metrics in Log Details.

Control Plane changes are now logged in the Audit Trail, and span name length no longer impacts the timeline view in Trace Details.

Debug issues faster with span details while viewing the trace timeline without having to change the context.

Better user experience with using filters in Logs Explorer — A-Z sorting on attributes-based dynamic filters, quick filters while viewing log details, and other fixes

Based on log attributes, filters in Log Explorer are now dynamically populated and columns can be toggled as required, plus a whole lot of improvements and fixes.

Troubleshoot issues faster by accessing log attributes, resource info, related logs, and related traces — all in a single view.

Last9’s native UI for viewing your traces is now out — search by service name, span name and attributes, and view traces details like span dependency and duration, and attributes.

Query logs from your cold storage for historical reporting and trend analysis, compliance and audits, and security forensics.

Use the Remapping pre-ingestion pipeline to transform data into the desired format or structure for your use case.

View logs in a real-time stream using Live Tail to get instant visibility into system behavior, view changes during deployments, and spot unusual behavior patterns.

Understand logging patterns, plan capacity, detect anomalies and pattern deviations, and more with the logs volume chart in Logs Explorer.

Last9’s native UI for viewing your logs is now out — search and filter by severity, services, and view log details like attributes, resource info.

Use Control Plane to manage data policies and settings for ingestion, storage, and queries; and Debug your data using Cardinality Explorer and Slow Query Logs.

Unlocking last 14 days history of alerts in Alert Monitor for correlations across Alert Groups while reviewing system health in RCAs and other reports

Teams can now disable edits to certain Alert Groups from the UI, and other fixes.

Visualize feature flag events as Change Events while viewing alerts in Levitate for better context

With more view-time control on Alert Monitor, reduce instrumentation changes and save engineering bandwidth.

Using template variables to insert dynamic values based on labels for use cases like detailed alert descriptions, routing links, etc.

Add labels to an Alert Group to be applied across all indicators while alert rule evaluations and unlock new workflows.

Common Rule Filters for Alert Groups allow users to specify PromQL filter conditions that will get injected into every Indicator that is part of the group.

Monitor the health of dashboards created in Levitate's Embedded Grafana using Alert Studio without losing the comfort of the dashboards

The Levitate Change Events API has become more flexible so that you can track various types of events in Levitate

With Levitate's Cardinality Explorer, understand which metrics are overflowing cardinality and see the cardinality trend

Levitate now supports showing Query Logs for optimizing slow PromQL queries and inspection of how queries are performing

Performance and stability improvements

Monitor the health and performance using the Health Dashboard that ships automatically with every Levitate cluster.

Enhancements to Streaming Aggregation Pipeline of Levitate - our managed time series data warehouse

Enhancing Levitate Metric Gateway Performance: Introducing the Upgraded Cardinality Limiter

Levitate - a managed time series data warehouse built for high cardinality and long-term metrics retention

Know Levitate Cluster's various quotas and limits for write and read workloads

Learn all about how to get started with PromQL based Macros and Levitate.

Continuous improvement towards stability and performance

Levitate now supports managing streaming aggregation pipelines from the Last9 dashboard itself!

Levitate now allows streaming aggregation of metrics to deal with near infinite high cardinality metrics. Define the streaming aggregations rules using PromQL.

You can access the Embedded Grafana using Last9 API and manage your Grafana Dashboards

Levitate now has support for scheduled maintenance windows in which the Last9 team can perform software upgrades.

We added support for embedded Grafana and InfluxDB integration

Improved Performance Metrics for Write and Read paths and upgrade to Hot Tier

Travel the journey of a Levitate Cluster from inception to reading data on a Grafana Dashboard