08/27/2026 | Press release | Distributed by Public on 08/27/2026 02:30
This page showcases new features, changes, and bug fixes in Dynatrace SaaS version 1.346. It contains:
Feature updates
Account Management | Identity Access Management
New role
A new role is introduced for account admins. It allows them to grant a read-only permission to a user group and to view the IAM configuration.
Application Observability
Request Naming, Service Detection Rules, Failure Detection and Request Attributes now support trace-based values in the Process group tag condition field.
Business Analytics
Support bucket defintion on Business Flow configuration
Now, in the Business Flow edit mode, it's possible to restrict business flow analysis to one or more specific business event buckets (up to 10 selected buckets), so all DQL queries will scan a smaller amount of bytes, increasing performance in the queries and reducing DPS license consumption on every run. This new filter based on the business events buckets applies to the whole application (edit and analytics) and, additionally, it injects the filter in the DQL queries when defining alerts for the main KPIs for anomaly detection.
Data Observability
New definity extension for data observability
The new definity extension is introduced. It ingests pipeline health, performance, and cost data into Dynatrace, giving you visibility into your lakehouse and Spark pipeline ecosystem.
Digital Experience | Product Analytics
Future-proof monitoring with Java 17 and Java 11 support
now compiles, builds, and runs on Java 11. 4.0.0 also supports Java 11.
Digital Experience | Users & Sessions
Mobile session bounce classification
Mobile sessions now support bounce classification using the same definition as web sessions. A session is considered bounced when a user makes a visit without performing any significant activity.
Requires Mobile agent version 8.343+.
Infrastructure Observability | Infrastructure & Operations
Infrastructure & Operations now includes navigation options to related data in other apps, including Logs, Clouds, Kubernetes, and Services. Your active filters, timeframe, and segments carry over automatically, so you land in the target app with your context already applied.
Platform
Increased default limit for custom Grail buckets
Dynatrace now supports up to 250 custom Grail buckets by default, supporting the most common data partitioning needs.
Platform
Workload Identity Federation (WIF) support for Dynatrace OpenTelemetry Collector
Workload Identity Federation (WIF) enables secure, credential-free authentication when exporting telemetry to external services and APIs. It removes the need for long-lived credentials in Dynatrace OpenTelemetry Collector deployments, following modern cloud-native security practices.
Platform
Support for React 19 in Strato components packages
Strato components packages now support React 19.
Platform | Dashboards
Separate display name for Dashboards variables
Dashboards variables now have two distinct fields:
How it works
Migration
Existing variables are automatically migrated: The current key value is used to populate the new name field. No manual action is required.
What's not changing
Platform | DQL
Write DQL queries faster with smarter autocomplete and inline help
The DQL editor now provides intelligent autocomplete and contextual guidance, helping you write queries more efficiently without switching to documentation. Suggestions are smarter, easier to distinguish, and ranked by real-world usage patterns.
Platform | Dynatrace Assist
Dynatrace Assist: Embedded conversation starters now support agentic mode
Conversation starters embedded across Dynatrace apps now launch the full Dynatrace Intelligence agentic AI, not just a generative AI answer. When you start a conversation from inside an app, Dynatrace Assist can reason over tools and your live environment data to investigate and analyze, instead of only retrieving and summarizing a response.
Existing conversation starters are upgraded from generative to agentic AI out of the box, so all the in-app entry points you already use become more capable. All you need to do is ensure that you have Agentic AI activated in the environment settings.
Apps tailor each embedded conversation starter by defining the prompt, supplementary context, and additional instructions behind the trigger, so every conversation opens already framed for the task at hand.
In case these conversations run into PII blocking, admins now also have the ability to configure which PII patterns, if any, should be blocked in.
Platform | OpenPipeline
Reserve fields exclusively for Bindplane
The namespace is now reserved exclusively for Bindplane. Dynatrace uses it to populate fields such as , , and to identify the Bindplane project, fleet, and configuration from where a record is originated. Reserving the namespace ensures these values are always set and interpreted consistently.
Platform | Problems
Propagated problem fields store only the latest event field value
Propagated problem fields now store only the most recent event field value-they don't accumulate all historical values of an event field (for example, ), rather they save only the latest value.
Uncategorized
Simplified demo setup with
Ready-to-use demo environments can now be installed directly through the setup flow, making it easier to get started with Dynatrace. Added to simplify cleanup of demo services and resources created during demo setup.
Breaking changes
Application Observability
Improved derived for SDv2 for OneAgent feature
SDv2 now derives a in cases where OneAgent sent the fallback value of .
Application Observability | Distributed Tracing
HTTP failure detection extended to FaaS services
HTTP failure detection now applies to FaaS services (AWS Lambda, Azure Functions, and GCP Cloud Functions) with HTTP data. After this update, you may see a higher failure rate in your environment. This is expected-issues with these services are now detected and reported for the first time.
Platform | Dashboards
Stricter validation for dashboards
Starting with Dynatrace version 1.346, Dynatrace applies stricter validation rules to dashboards and won't display dashboards that fail validation until you fix them.
Which dashboards are affected?
This will mainly affect dashboards created or modified via the API or external AI tools. Dashboards created and maintained using Dashboards can't fail validation unless you modify them otherwise.
Action plan
To continue using a dashboard that fails validation, edit the JSON's dashboard. For read-only dashboards, contact the dashboard owner.
To edit directly in Dynatrace:
To edit in an external editor:
Platform | DQL
Size limit for sorting and grouping keys in DQL queries
We now enforce a per-record size limit on field values used as sorting or grouping keys in DQL queries (such as , , and with ).
Action plan: If your queries use potentially large fields (like log content) as sorting or grouping keys:
Fixes and maintenance
Resolved issues in this release (SaaS)