AI is changing the reliability game for SREs
The integration of AI into production workloads is complicating SRE efforts by introducing new failure modes and shifting operational toil toward the supervision of unpredictable m…
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Scale Synthetic monitoring with granular and team-scoped access control
Dynatrace has introduced granular IAM permissions and security contexts for Synthetic monitoring to enable secure, role-based access and independent team ownership. This update all…
Investigate user sessions end-to-end with the new Session Replay
Dynatrace’s updated Session Replay is now natively integrated with the Grail data lakehouse, seamlessly connecting user sessions with logs, traces, and RUM data. This unified appro…
Dynatrace Managed release notes version 1.346
The Dynatrace Managed 1.346 release introduces several key enhancements, including direct Amazon S3 uploads for synthetic screenshots, redesigned Azure and authentication pages, an…
OpenTelemetry series: Anatomy of an OTel span
This article provides a detailed breakdown of the anatomy of an OpenTelemetry span, explaining its core building blocks such as context, name, kind, and attributes. It illustrates …
From AI experiments to business outcomes: How to measure what matters
Many enterprises struggle to demonstrate AI ROI because they focus on technical metrics, such as model accuracy, rather than the actual impact on end-to-end business processes. To …
OneAgent release notes version 1.345
Dynatrace OneAgent version 1.345 introduces 23 feature updates, notably enhancing application observability for .NET, AWS, Azure, and the Spring Framework. The release also improve…
What’s new in Dynatrace SaaS version 1.346
The Dynatrace SaaS 1.346 release introduces significant enhancements, most notably upgrading Dynatrace Assist to agentic AI and improving DQL efficiency through smarter autocomplet…
Bring observability to SCADA systems in operational technology environments
Operational technology (OT) is critical for managing the physical infrastructure essential to society, such as power, water, and manufacturing, where system failures can have sever…
From millions of log lines to actionable patterns in seconds with logs pattern analysis
Dynatrace's new log pattern analysis feature, currently in preview, automatically transforms massive volumes of unstructured log data into a handful of identifiable, actionable pat…
SRE best practices and platform engineering trends: How AI workloads raise demands on observability to meet reliability requirements
AI workloads are reshaping SRE and platform engineering by introducing new complexities in managing the reliability, performance, and cost of AI-driven systems. While AI provides s…
How to connect Dynatrace MCP to Microsoft Teams using Copilot Studio
This article explains how to integrate Dynatrace observability into Microsoft Teams using Microsoft Copilot Studio and the Model Context Protocol (MCP). This integration allows bus…