This edition of Release Radar covers the Dynatrace releases from May, 2026. Here are the changes that should matter right away to practitioners:

• AI tooling
• AI coding agent monitoring
• Jira integration
• Dashboard productivity
• Pipeline grouping

To see them in action, head over to our release radar launchpad on the Dynatrace Playground.

Dynatrace Assist: At your side with more context

Dynatrace Assist gets four upgrades in sprint 1.338 that deepen its usefulness during active investigations.

Side-by-side mode puts the chat interface in a collapsible panel alongside your current view — dashboard, notebook, or any other app page stays visible while you work with Assist. Chat and investigate at the same time without losing your place.

Reference files and skills give Assist access to a curated knowledge base built on Dynatrace documentation and product expertise, following the Anthropic Claude Agent Skills format. Responses are designed to draw on structured Dynatrace knowledge, so answers are grounded in how the platform actually works.

Anthropic Claude Sonnet 4.6 as the foundation model can help bring stronger multi-step reasoning and improved performance on complex, multi-tool investigations — the same model used in the latest Anthropic API and Claude Code.

A purpose-built NL2DQL model makes natural-language-to-DQL generation more accurate. The capability now uses a fine-tuned foundation model based on Llama 3.1 8B, trained specifically on Dynatrace query patterns. Write a question in plain language and get a working DQL query with fewer iterations.

AI coding agents get unified monitoring

Dynatrace now provides observability for five major AI coding agents: Claude Code, Google Gemini CLI, OpenAI Codex CLI, OpenCode, and GitHub Copilot SDK.

As  your team adopts multiple AI agents in parallel, you need shared visibility into what they cost, how they behave, and what they produce. This release gives platform teams, engineering leaders, and security teams a  unified observability across all five agents, all built on OpenTelemetry.

What teams get across the supported agents:

• Adoption and token tracking — session counts, token consumption, and cost trends across agents and teams.
• Tool behavior visibility — which tools each agent calls, how often, and where runs slow down or fail.
• Production context in the IDE — engineers can query live Dynatrace data through the Dynatrace MCP Server without leaving their coding environment.
• Engineering outcome correlation — connect agent activity to downstream delivery signals like commits and pull requests (available for Claude Code).

Pre-configured dashboards are available for each agent. For the full breakdown by agent and setup details, see Dynatrace expands AI coding agent monitoring.

Investigate production problems without leaving Jira

The Dynatrace MCP Server now integrates with Atlassian Rovo, bringing observability context directly into Jira and JSM tickets.

When an incident or issue is open in Jira or JSM, Rovo can now call Dynatrace tools in natural language — querying metrics, traces, logs, and topology — and post the results as ticket comments. Root cause analysis and dependency mapping happen inside the ticket, so engineers stay in context instead of switching between platforms.

Key points for practitioners:

• No context switching — investigate and document findings without leaving Jira or JSM.
• Per-user OAuth 2.1 — every Dynatrace call runs as the requesting user, with a full audit trail across both platforms.
• Admin-controlled tool exposure — administrators choose which Dynatrace tools Rovo can access.
• Included with Dynatrace SaaS — no additional cost, and adding users doesn’t change the pricing.

It’s designed for fast setup: authenticate via the Rovo admin UI, select the tools to expose, and the integration is live across Jira, JSM, and Confluence.

For the full walkthrough, see Dynatrace MCP Server for Atlassian Rovo.

Dashboards: build faster, navigate better

Releases 1.338 and 1.339 bring a focused set of dashboard improvements that add up across a day of analysis work.

Ready-made tiles and sections expand the dashboard and notebook library with pre-configured visualizations and built-in drill-downs to other Dynatrace apps. Browse or search the tile library to find components that are ready to use, and customize from there rather than starting from a blank canvas.

Direct JSON editing lets power users open and edit the full dashboard definition as JSON from the dashboard Actions menu. The format matches the Dashboard API, so configuration changes, bulk tile edits, and version-controlled workflows are all faster in the editor than in the visual UI.

URL-driven variables make it possible to configure hidden dashboard variables through URL parameters, enabling pre-configured views to be linked directly with filters already applied — useful for sharing context-specific dashboards with specific teams or stakeholders.

Launcher link reordering lets users drag links between sections in the launcher, making personal navigation layouts easy to maintain.

Active tile tab persistence keeps the last-active editing tab visible when switching between tiles, so the configuration state is preserved while navigating across a dashboard.

Pipeline groups get a configuration UI

Pipeline groups, which let central teams enforce shared policies across multiple OpenPipeline pipelines, now have a dedicated configuration interface in Early Access (sprint 1.339).

Platform teams can now configure group-level policies in the UI, including cost allocation and sensitive data scanning. Pipeline teams still control their own parsing and extraction logic, so central governance doesn’t come at the cost of local flexibility. No direct API access required.

This UI makes the feature accessible to a wider set of platform operators and can help reduce setup costs for organizations running large, multi-team pipeline environments.

For background on pipeline groups and the governance model they enable, see Pipeline Groups in Dynatrace OpenPipeline.

Latest UX improvements

Investigation workflows in logs get sharper. Join the Log pattern analysis preview and see how selected log patterns now open a dedicated deep-dive panel showing behavior over time and associated records — inspect pattern-level context without losing the overview, and drill into individual log records from the same panel without navigating away. Log attributes open in full-screen mode for reading long or nested JSON in place. When Logs is opened from a contextual link in a dashboard or alert, the query runs automatically — no extra click required.

Navigation, filtering, and performance also improve across several surfaces. In the Session List, a tooltip on the Session Replay icon shows replay availability — full, partial, or none — so you can triage which sessions have usable replay before opening them. The Services explorer gains dynamic tag filters for Kubernetes namespace annotations and labels, expanding filter coverage for k8s-heavy environments. Infrastructure inventory in large network environments now loads in 3–5 seconds in typical environments, with status and reachability columns loading progressively so the view is immediately usable at scale. Press Shift + ? anywhere in the platform to open the keyboard shortcut reference.

Why these changes matter

The May releases extend capabilities across the workflows that practitioners use most. AI tooling stays present during investigations. Coding agents become observable assets, not black boxes. Dashboards get faster to build and easier to manage. Cost data supports annual planning. And pipeline governance reaches more teams through a UI.

These are the kinds of changes that add up across a week of real work.

Check out the updates in action on our Release Radar Launchpad.

The post Dynatrace Release Radar 05.26 appeared first on Dynatrace news.

AI is changing the way we work, from boosting our efficiency and executing tasks on our behalf. As AI enters the agentic era, Dynatrace Assist is your trusted partner for working smarter with Dynatrace. Powered by Dynatrace Intelligence, it helps you solve problems faster and brings AI into your daily workflow.

Today, we’re announcing Dynatrace Assist, our next-generation AI chat that goes far beyond answering questions. It lives where you work, understands your environment, and helps you get real work done with the full power of Dynatrace Intelligence behind every interaction.

Dynatrace Assist is the evolution of Davis CoPilot®, but make no mistake: this is much more than a rebranding. It’s a paradigm shift in capability, outcome, and value.

Your agentic partner helps you gather insights

Dynatrace Assist is where the full power of Dynatrace Intelligence, the new Dynatrace agentic operations system, is available at your fingertips. Instead of moving between dashboards, queries, and tools, you can simply start with the conversational interface: ask a question and let Dynatrace Intelligence do the work.

Dynatrace Intelligence interprets your prompt using generative, causal, and predictive AI capabilities to understand what you’re trying to achieve. Like a member of your team, Assist pulls together context from Grail, maps relationships utilizing Smartscape’s dependency graph, and collaborates in real time with Dynatrace agents. As the conversation unfolds, you move from understanding to exploration—following suggested drill-downs, refining your analysis, and understanding the next steps. This allows for a single, seamless flow from question to insight to execution.

Multi-step reasoning that understands your environment

Assist doesn’t just do what you ask—it thinks several steps ahead. It helps you understand the why, decide what to do, and see what comes next. And all of this is fully transparent, showing you exactly which data backs each decision, so you can trust the recommendations and proceed decisively and confidently.

Under the hood, Assist combines Grail’s unified data lakehouse with Smartscape’s dependency graph, layered with our causal and predictive AI. By leveraging the same tools that are hosted on the Dynatrace MCP Server, Assist can pull insights from any part of your environment and kick off deeper analysis when needed.

From incident to remediation in a single flow

AI on its own is meaningless. AI needs context and data to deliver real value, and you need intelligence that understands your environment and helps you move faster with confidence. Dynatrace Assist is built for exactly that. It works alongside you, sharpening decisions, removing friction from investigations, and accelerating the steps that typically slow teams down.

Let’s look at the following example: when a production issue arises, teams waste precious minutes jumping between dashboards, logs, and alerts to reconstruct what went wrong and determine the next steps.

Investigations start with a simple question like “Summarize all open problems and highlight those that need remediation.” Assist immediately pulls together the evidence. It connects Grail data, Smartscape relationships, and real-time signals from Dynatrace agents to piece together a clear explanation of the issue. Instead of scattered clues, Assist collaboratively guides you in selecting a problem to focus on and recommends how to remediate it. This continuous flow compresses investigation time, reduces MTTR, and gives teams a controlled way to move from insight to remediation without breaking focus.

Explain raw data with actionable insights

Logs, signals, and low‑level data points often require deep domain knowledge to interpret. In large digital environments, that knowledge is spread across different teams, which means understanding what a particular message means, how serious it is, and whether it requires action can easily slow teams down.

When you select a log entry (or another signal in Dynatrace) and ask Dynatrace Assist to explain it, it responds like an expert colleague with the necessary domain knowledge and an understanding of the system’s inner workings. It interprets the data in context, highlights what is important, clarifies the potential impact, and outlines likely causes or sensible next steps. Instead of searching for error codes elsewhere or waiting for someone with deeper expertise, teams get immediate clarity. This turns raw, technical signals into practical guidance and shortens the path from confusion to confident action.

Identify and respond to critical vulnerabilities

Vulnerabilities in your system significantly increase the risk of critical incidents, such as data loss or unauthorized access. When a new vulnerability alert appears, teams need immediate clarity about what it means, which services are exposed, and what actions they should take.

With a series of simple prompts, such as described below, Assist pulls in security findings, maps the impacted components across Smartscape, and identifies the root cause. It guides you through the decision-making process, including proposing a fix to the identified problem. All without leaving Dynatrace or switching between tabs, applications, or tools. This tight loop gives teams a faster understanding, more consistent responses, and a significantly reduced risk window.

Prompts used in this use case:

1. Are there any open threats I need to be aware of?
2. Investigate the SQL injection vulnerabilities and provide more details.
3. Show me input for <<add your vulnerability>>.
4. Give me a fixed query.

Dynatrace Assist is here, and it’s just the beginning

Dynatrace Assist doesn’t replace your expertise; it amplifies it, so you can resolve issues sooner, uncover insights more naturally, and move from intention to outcome with far less effort. It is your gateway to Dynatrace Intelligence, which makes you and your teams more productive, accelerates your operations, and uses the full Dynatrace platform to deliver real outcomes.

Ask. Analyze. Act.

And start today with Dynatrace Assist.

The post Dynatrace Assist: Ask, analyze, and act with Dynatrace Intelligence appeared first on Dynatrace news.