Application Observability
APM, distributed tracing, and profiling for cloud-native and enterprise stacks.
About Application Observability
Benefits of Application Observability
Full stack, all-in-one solution
Application performance monitoring, infrastructure monitoring and AIOps all in a single solution, with the option to add digital experience and business analytics functionality.
Automatic monitoring of cloud-native workloads and microservices
Dynatrace automatically discovers and monitors dynamic microservice workloads running inside containers on Kubernetes, using OneAgent technology and open-source solutions like OpenTelemetry
Improve production quality with code-level tracing
Automatically capture transactions across every tier, down to the code level
Get AI-powered answers at massive scale with Grail
Unifying log analytics with PurePath distributed tracing and the speed and scale of Grail enables enterprises to dramatically improve application resiliency and user experience by seamlessly delivering on-demand, AI-powered answers for even the largest and most dynamic environments.
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Automatically monitor all your infrastructure, including cloud, hybrid, containers, VMs, network, servers, storage and more.
Full end-to-end observability enables organizations to get to the bottom of application performance issues much faster, including issues that arise from cloud-native and microservices environments
Application Security module includes the Dynatrace AI engine, which helps developers prioritize security issues while eliminating false positives.
Tools and technologies to gather and evaluate metrics from sources along the customer value chain to determine the quality of a user’s interaction with a digital touchpoint
Connects application performance and user experience to business metrics, enabling business and IT teams to collaborate through shared real-time perspectives
Answers and intelligent automations to help you improve production reliability seliver secure and high quality software faster, enhance BizDevSecOps collaboration.
