From symptom to fix in minutes: AI-assisted development with Dynatrace MCP
How Dynatrace and an AI coding assistant can bridge the gap between "something is slow" and "here is the fix.” Why this matters for getting AI workloads to production. The post From symptom to fix in minutes: AI-assisted development with Dynatrace MCP appeared first on Dynatrace news .
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Recent updates from Dynatrace, so you can tell whether this is a one-off or part of a pattern.
Forrester study models 466% ROI from unified observability with Dynatrace
AI is adding new operational demands to already complex technology environments. Technology leaders must improve reliability and developer productivity, control costs, and demonstrate business value while understanding how AI models and agents affect the applications and infrastructure around them. Dynatrace commissioned Forrester Consulting to evaluate the potential business value of unified…
Dynatrace completes acquisition of Arize to advance full-lifecycle AI observability
Dynatrace has completed its acquisition of Arize. The acquisition combines Arize’s AI-native tracing, evaluation, and experimentation capabilities with Dynatrace observability across applications, infrastructure, user experiences, and business processes. Together, these capabilities create the foundation for full-lifecycle AI observability, from development and evaluation through deployment,…
A design refresh for every Dynatrace App, including yours
If Dynatrace looks different today, that’s intentional. The design refresh incorporates customer feedback to improve the user experience by reducing visual layering on page surfaces and improving contrast in dark mode. Status and chart colors are more vibrant and easier to tell apart, and charts have new themed palettes alongside the existing options. The refresh […] The post A design refresh for…
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What other companies in Observability are doing. The category page shows who’s active, side by side.
Take Grafana Labs' 5th annual Observability Survey
Over the past year, "agentic" has gone from an emerging buzzword to an integral part of worklife for many engineers, and that's just scratching the surface on all that's changed. With so much upheaval, there's never been a better time to capture the pulse of the industry, which is why we want you to take Grafana Labs' fifth annual Observability Survey . We're asking the questions you're probably…
How we extended Apache DataFusion to execute one query across many machines
Learn how Datadog built Distributed DataFusion to scale interactive Apache DataFusion queries across multiple machines.
Manage your OpenTelemetry Collectors with Fleet Management in Grafana Cloud
If you’ve built your telemetry pipelines around OpenTelemetry Collectors, you’ve already invested in a collector distribution, YAML configuration, and a deployment model that fits your infrastructure. As that deployment grows, managing it means keeping shared configuration consistent, accommodating different workloads, and understanding whether your collectors are healthy. Fleet Management in…
Debug Production at the Speed of AI
Your coding agent can debug production issues now. Yes… Not just “help you debug.” Actually run the investigation… FOR YOU! In this new era of agentic development, speed matters. And in the old days (you know… last week or so) we used to investigate production bugs ourselves. Manually. Like humans. But for a lot of […] The post Debug Production at the Speed of AI appeared first on Coralogix .