• All RBAC function are now supported in the UI. See RBAC: Using the Admin Tab .

• Roles can be defined & assigned to users from UI.

• Group Management, policy Management, policy config management are handled with ease from UI.

• Improved user, access controls

Starting with this release, KloudFuse does not support RBAC and policy configuration through editing of raw configuration files.

• Follow these Upgrade Instructions to fully migrate your existing KloudFuse RBAC configuration to release 2.7.2.

• Introducing support for multiple auth keys can be used for ingestion starting 2.7.2. See Multiple Authorization Keys.

• Support for pushdown queries for better performance & user experience.

• Improved Analytics formula for correctness with optimized joins for top k and bottom k results.

• Support for easy query param selection for multiple queries.

• Support for pushdown queries for better performance & user experience.

• Improved Analytics formula for correctness with optimized joins for top k and bottom k results.

• Support for easy query param selection for multiple queries.

• Introducing new model(Prophet) for better anomaly detection.

• Introducing new forecast model(Holt winter-seasonal) for better forecasting.

• Support for MSK(Kafka), Mongo Atlas dashboards.

• Support to add custom tags for log-groups in aws and gcp.

• Support for non request (background jobs) transactions for elastic APM

• Support for Apdex charting and alerting.

• Service Execution Time chart shows breakdown by the downstream external service by their DNS names/IP addresses.

• Downstream dependency table now shows external services as well

• Support for bookmarking filters and query states

• State is preserved within the stream pages while navigating around the kfuse UI.

• Unified rollup period across all charts

• UTC support

• Allow sorting for analytics table and pie chart table

• Unify Logs Analytics and Trace Analytics to allow multiple queries

• More responsive logs landing page through streaming and faster terms search

• Support for larger log lines - up to 1MB

• Improve dashboards for Kloudfuse Overview, Systems, etc.

• Additional panel to show Agents Overview

• Support for Outlier analysis

• Support for creation of alerts by cloning an existing alert.

• Support bulk deletion of alerts and contact points.

• Slack contact point editing support

• Support Apdex based alerts

• Support for pagination in the Kubernetes views

• Improve sidebar navigation and grouping support in the Events page

• Group by support for Kubernetes

• Multi Query in Event Analytics

• Support for exporting dashboard and copying dashboard json

• Support for bulk deletion of dashboards

• Support for multi-series anomaly visualization

• Increased precision for charting tooltips

• Support for math expressions in dashboard panels

• Databases are now uniquely identified by user configurable set of attributes with a reasonable default that includes key cloud and kubernetes attributes (similiar to service identifier for web services).

• Kloudfuse now has support for Service Level Objectives (SLOs). Users can set latency and availability SLOs for any service instrumented with distributed tracing.

• Every SLO breach can optionally send alerts.

• High-level summary of any configured SLOs are available in service page.

• Runtime metrics (node.js) for services based on detected telemetry language.

• Service details page provides quick access to the logs via Logs tab.

• Trace details and flame graph now supports the nanoseconds granularity.

• Logs search now supports two new operators facetTermsExist(==), notFacetTermsExist(!==) to support term search within a facet. This feature is similar to facetTermsExist for the full log line.

• Detailed wiki on how to use the operator can be found here.

• We now display services and databases separately in their own tabs

• Services are now uniquely identified using combination of cloud and kubernetes labels. Service identity is carried over to the service and dependency maps as well as service details page. In addition, service identity is leveraged in setting APM and ASM alerts as well as when navigating to traces and errors from service details.

• Runtime metrics (JVM, Go, Python, etc.) for services based on detected telemetry language

• Significant enhancements to the Service Map (global view) and Service Dependency Map (in the Services details page) user experience leveraging service identity to uniquely identify services and databases.

• Ability to navigate from service to service details page

• Ability to size the node based on any of the RED metrics

• Various fixes and UX improvements

• Look and feel improvements to match rest of the features and screens

• Independent scrolling of sources and facets

• Easier selection of facets, and labels using toggle/All/only options

• Easier charting of facets based on data type directly from the Logs sidebar

• Uniform and easier editing of search filters across Logs and APM search bars

• Better color, fonts and sizes

• Uniform look and feel across various screens

• APM, Logs, and Metrics dashboards can be created, deleted and edited

• Dashboard import/export/copy functionality

• Dashboard template variables support

• Metrics metadata, including metric type, description and units

• Advanced Services Monitoring can be enabled for individual services from the APM services list

• Service details RED metrics charts have option to show anomalies when ASM is enabled

• Service details page also shows Kubernetes Infrastructure metrics on per host, and pod basis with outlier detection

• Auto-detection of deployment changes based on service version

• Service details page shows first seen time for each of the versions

• Service RED metrics and Execution Breakdown charts show markers for deployment

• Breakdown of execution time by down stream service and span type

• Overlay of deployment markers to co-relate deployment changes with service changes

• SLA daily/weekly/monthly report of RED metrics and APDEX

• Performance Report breaking down RED metrics and APDEX by span names for 24 hour period against 7 day average

• facet names can be searched and selected using typeahead (prefix matching) in logs search and logs analytics

• Improved APM search now allows editing of indivdiual eq, neq, regex eq and regex neq queries for low cardinality and hc attributes

• Simplified and improved editing of duration slider ranges

• Alert workflow has been simplified to make it easy to configure various kind of alerts including anomaly, change and threshold.

• Improved alert artifacts for System, Kubernetes and Logs integrations.

• Logs Analytics now supports Top List, Table and Pie Chart visualization in addition to the Time Series

• Facets can be aggregated or used in a group by independent of the source in which they appear.

• Ability to create alerts directly from the logs analytics screen for both queries and formulas.

• New aggregation functions - first, last, quantile, etc.

• Facet match/search now works across all the sources

• Logs term search and string searches are now faster due to various improvements in the indexing and caching in addition the streaming evaluation of the counts

• From the search bar you can now search for log lines containing a facet

• Ability to sort the logs search results table by custom columns

• Ability to chart numeric facets from the sidebar

• Sidebar now shows facet values sorted by their log lines count

• Improvements to charting interface with ability to jump to corresponding metrics exploration with support for more visualization types and comparison to previous periods.

• Added support for Top List, Table and Pie Chart visualization in addition to the Time Series

• Support for multiple queries and formulas

• Simplification of analytics UI to match logs analytics

• Ability to add analytics query to dashboard

• Support for analyzing and breaking down cardinality of various attributes (both indexed and non-indexed)

• Support for analyzing and breaking down cardinality of labels

• Various performance improvements.

• Support for threshold and anomaly based alerts for APM RED metrics.

• Support for Role Based Access Control.