Volume 343, Issue 2 · 11 articles from 4 issues
A Dynatrace-commissioned Forrester TEI study models 466% three-year ROI and payback in under six months from unified observability.
Dynatrace commissioned Forrester Consulting to run a Total Economic Impact study of unified observability for a composite enterprise.
The study modeled a 466% three-year ROI, $20.3 million in net present value and payback in under six months, with $14.4 million attributed to faster and more efficient operations.
Other value came from developer time savings, cost control, tool consolidation and lower regulatory reporting effort, and the post also discusses moving toward autonomous operations as AI adds operational demands.
Dynatrace ships a UI refresh to every app at once via its Strato design system, adding value-based filters and reusable time ranges.
Dynatrace rolled out a design refresh that reduces visual layering, improves dark-mode contrast and adds more distinguishable status and chart colors with new palettes.
Because all Dynatrace Apps, including custom ones, share the Strato design system's versioned tokens, the refresh reached every app at once with no action required.
New usability features let users filter by typing a value instead of a field name and carry recently used time ranges between apps or browser tabs.
Dynatrace shows how its MCP Server lets AI coding agents use live observability data to trace slowdowns to specific lines of code.
Dynatrace demonstrates connecting an AI coding assistant to live observability data through the Dynatrace MCP Server and a set of published skills that teach agents how to query data and correlate symptoms to code.
The test case was a multi-tier case management app with CPU pegged at 100% and response times near 89 seconds.
Natural-language questions led the agent to the impacted methods and a root cause fixed through parallelization and a two-line database index, shortening the path from symptom to fix.
Dynatrace shares three themes from WeAreDevelopers World Congress North America: agent containment, observability and agent experience.
Dynatrace reports three recurring themes from WeAreDevelopers World Congress North America in San Jose as teams run AI agents in production.
The first is agent containment, as reports of agents breaking out of bounds made sandboxing a hot topic, followed by observability and evaluations for agent behavior.
The third is agent experience, meaning how tools and systems are designed for agents to use, and the post also outlines what is still missing for safe, reliable agentic development.
Dynatrace achieved ISO/IEC 42001 certification for the AI management system governing its platform's AI-powered capabilities.
Dynatrace announced it has achieved ISO/IEC 42001:2023 certification, the international standard for AI management systems, covering the AI management systems supporting the Dynatrace platform and its embedded AI capabilities in Dynatrace SaaS and Managed.
The certification assesses the management system behind Dynatrace's AI, including governance, risk and impact assessment, data management, and human accountability, rather than certifying any single model or product claim.
Dynatrace frames it as an independent, internationally recognized trust signal for enterprise buyers, particularly in regulated industries, as AI increasingly enters procurement and compliance conversations.
Dynatrace shows how a European investment bank used business observability to gain real-time visibility into loan validation.
Dynatrace argues that financial institutions need business observability that connects technical telemetry to business processes in real time, citing a leading European investment bank whose loan validation process, moving millions of euros daily in Corporate and Investment Banking, had no real-time visibility.
The bank first mapped validation steps, failure points and downstream impacts with business stakeholders, then instrumented the process.
Dynatrace says this approach catches duplicated transactions, missing steps and incomplete data before they become complaints or regulatory issues.
Dynatrace compares OpenTelemetry Collector Core, Contrib, custom OCB builds and vendor distributions to help teams choose.
This explainer walks through why there is no single OpenTelemetry Collector download and how the project's structure is deliberate.
It compares the lean Core build, the Contrib repository with hundreds of community components, the OpenTelemetry Collector Builder (OCB) for assembling custom binaries, and vendor distributions with curated packaging and support.
Dynatrace outlines the trade-offs of each and offers guidance on picking a distribution that teams will not regret months later.
Dynatrace is a launch partner for Cognition's Devin Oncall, feeding production runtime context into autonomous incident response.
Dynatrace is a launch partner for Cognition's Devin Oncall, which extends the Devin autonomous software engineer into production incident response, with a Dynatrace plugin giving Devin runtime context so it can investigate issues, propose fixes and open pull requests grounded in real telemetry.
The post explains how to connect Devin to Dynatrace, what happens when an incident occurs, and how vulnerabilities can be evaluated before a pull request is opened.
Dynatrace argues observability is essential as AI agents increasingly generate and change code.
Dynatrace's September release roundup covers database backtraces, QuickStart onboarding, dtwiz host setup and OpenTelemetry host monitoring.
The Release Radar series summarizes Dynatrace capabilities rolled out in September 2026.
The Services app can now open a Service backtrace from a database statement to show the upstream call chain, load distribution across callers and errors.
Other updates include QuickStart onboarding that connects findings to AI, trace investigation that preserves analysis context, host monitoring onboarding in minutes with the dtwiz tool, and OpenTelemetry host monitoring joining the Infrastructure & Operations app.
Dynatrace reached the Initial Implementation phase for FedRAMP Class D (High), a step toward serving sensitive federal workloads.
Dynatrace announced it has reached the Initial Implementation phase of FedRAMP Class D (High) certification, meaning it is implementing controls ahead of full certification.
Once complete, federal agencies will be able to use the full Dynatrace platform to monitor, secure and optimize mission-critical applications at the highest federal cloud security baseline.
Dynatrace says its AI-powered observability platform is designed to scale across security baselines without agencies rearchitecting infrastructure or switching vendors.
Dynatrace Snowflake Observability is now GA, covering cost, performance, security, operations and data quality in one app.
Dynatrace announced general availability of Snowflake Observability through its Data Observability app, providing unified visibility into Snowflake cost, performance, security, operations and data quality, with guided onboarding, automated telemetry collection and 14 ready-made dashboards.
Dynatrace notes that stale, incomplete or changed data can break AI applications even when models work correctly.
The feature helps teams control Snowflake spend, accelerate performance investigations and surface silent data quality issues.