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Looking to upgrade from Dynatrace Managed to SaaS? See how

Dynatrace Managed Roadmap

_Alexander_
Dynatrace Advisor
Dynatrace Advisor

The Dynatrace Managed roadmap outlines product enhancements and selected innovations that we plan. 

If you have a use case that is not supported by Dynatrace Managed, suggest a product idea and add the label "dynatrace managed". For Dynatrace employees: Contact us via Slack #help-dt-managed

All elements of the Dynatrace technology support roadmap typically also apply to Dynatrace Managed.

You can find released product enhancements in the Dynatrace Managed release notes.

 

July 2024

Cluster 1.296:

  • Update Dynatrace Managed to a newer version faster

Oct 2024

Cluster 1.302:

  • Automatic repair for outages up to 72h in Premium High Availability

Q1 2025

Protect your Python stacks with Dynatrace vulnerability detection

  • Python runtime vulnerabilities
  • Third-party library vulnerabilities

Observe your Python stacks with Dynatrace infrastructure observability

  • Python GC metrics
  • Python thread metrics

Q2 2025

  • Dynamically the change IP address of a Cluster node
  • Change OneAgent communication setting via UI/API between Managed environments
  • Chart OpenTelemetry and Prometheus histograms on Dashboards and Data Explorer
  • Calculate percentiles for ingested histograms to detect performance outliers 
  • Customize log retention and storage limit
  • Identify which tagging rule applied a tag to a monitored entity [product idea]
  • Better preview of matching entities for tagging and management zones [product idea]

Q3 2025

Distributed tracing for Python stacks

  • Web frameworks: Flask, Django, Django REST framework, Tornado, FastAPI, Starlette 
  • HTTP clients: Requests, urllib3
  • Database clients: psycopg2 (PostgreSQL), SQL Alchemy (MySQL), python-oracledb
  • Trace context propagation: asyncio, concurrent.futures, threading, subprocess, queue, celery, gevent

 

Backlog

  • more to come..
1 REPLY 1

gautier_begin
Advisor

Nice improvement, the Python fullstack monitoring 😀.

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