Dynatrace Managed release notes version 1.338
The Dynatrace Managed 1.338 release introduces a new histogram chart type for visualizing metric distributions and enables the conversion of offline clusters to online mode without…
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How to build trust in Digital Experience Monitoring
Digital Experience Monitoring (DEM) adoption is often hindered in regulated industries due to the privacy risks associated with collecting sensitive user data. To address this, Dyn…
Red Hat Summit 2026: Powering intelligent, automated operations across hybrid cloud and AI workloads
At Red Hat Summit 2026, Dynatrace will showcase how its AI-powered observability integrates with Red Hat platforms like OpenShift and Ansible to optimize hybrid-cloud and automatio…
How Anthropic Claude Mythos is reshaping the vulnerability landscape
The emergence of AI models like Claude Mythos threatens to drastically accelerate the discovery and weaponization of zero-day vulnerabilities, rendering traditional static scanning…
What’s new in Dynatrace SaaS version 1.338
The Dynatrace SaaS 1.338 release introduces enhanced dashboard and Notebook capabilities, such as maximizable sections and improved variable sharing via URLs. Notable updates also …
OneAgent release notes version 1.337
Dynatrace OneAgent version 1.337 introduces several feature updates, including enhanced AWS Lambda observability and modernized IBM MQ sensor support for .NET applications. The rel…
ServiceNow Knowledge 2026: Accelerating intelligent automation at scale
Dynatrace will be a Gold sponsor at ServiceNow Knowledge 2026, showcasing how its AI-powered observability facilitates the transition from reactive incident response to autonomous …
Dynatrace Release Radar 03.26
The recent Dynatrace March SaaS releases introduce significant updates designed to provide more actionable compliance insights and more accurate, transparent vulnerability detectio…
Dynatrace expands AI Coding Agent monitoring for Claude Code, Google Gemini CLI, Codex CLI, OpenCode, and GitHub Copilot SDK
Dynatrace provides a unified observability layer to help engineering teams monitor and manage the growing adoption of various AI coding agents, such as Claude Code, Gemini CLI, and…
Observability is a team sport
The author argues that observability should be treated as a shared responsibility across all engineering roles—including developers, SREs, and DevOps—rather than the task of a cent…
index4j: Open-source FM-Index for fast queries on compressed logs
The FM-Index is a data structure designed to provide both high compression and fast, flexible substring searching for large, static datasets like log files. The article introduces …
Best practices for hashing variable-length data structures
This article explores how concatenating variable-length fields can cause hash collisions and proposes more reliable serialization strategies, such as using delimiters, length prefi…