Dynatrace KSPM now includes a default-on Security Essentials profile that monitors clusters for common misconfigurations without requiring a node-level collector. This provides a consistent security baseline across supported Kubernetes distributions.
Dynatrace released updates including an SRE Agent for automated problem investigation and evidence gathering. The update also adds new workflow templates for alert reduction, Kubernetes troubleshooting, and database operations.
Dynatrace now supports direct ingestion of AI telemetry from coding agents, OneAgent, and OpenInference. OneAgent Python support allows instrumentation of LLM applications without code changes.
The vulnerability risk exposure dashboard is now available to help engineers identify and manage security risks. It provides a unified view of vulnerability findings, affected processes, and scan coverage across hosts, processes, and Kubernetes environments.
Dynatrace Snowflake Observability is now generally available in the Dynatrace Data Observability app, offering automated telemetry collection and 14 pre-built dashboards for monitoring cost, performance, and data quality.
Dynatrace has launched the Dynatrace MCP Server, connecting AI coding assistants directly to live observability data. It also released a collection of prepackaged skills to teach coding agents how to query observability data and correlate symptoms to code.
Dynatrace has rolled out a visual design refresh across all apps using the Strato design system, improving contrast and color palettes. Additionally, users can now filter data directly by value without needing to look up a field name first.
Dynatrace launched a verified plugin in the Cursor Marketplace, integrating Cursor with Dynatrace environments via Model Context Protocol (MCP) and providing 30 specialized investigation skills.
Dynatrace has generally released a new Session Replay built on the Grail data lakehouse, allowing SaaS customers to replay user experiences alongside logs, traces, and metrics.
Dynatrace has introduced log pattern analysis in preview. The feature automatically groups similar log messages, highlights variable components, and generates Dynatrace Query Language queries to help teams identify recurring patterns without writing code.
Dynatrace has released an upgraded Log Ingest Overview dashboard, self-service troubleshooting guides, and OneAgent log module enhancements. These updates allow practitioners to troubleshoot log pipelines end to end and size edge infrastructure more precisely.
Dynatrace now extracts histogram metrics from spans and logs during ingestion using OpenPipeline. This allows organizations to capture latency distributions and measure performance beyond simple averages without re-instrumenting services.
Dynatrace, Inc. is an American multinational technology company that provides an AI-powered observability platform. Their software is used to monitor, analyze, and optimize application performance, software development, cyber security practices, IT infrastructure, and user experience.