What is container monitoring?
Container monitoring is the process of collecting metrics, traces, logs, and other observability data to improve the health and performance of containerized applications. Monitoring Docker containers is inherently challenging due to their highly dynamic nature. Having real-time insights and actionable answers on how to remedy anomalies helps DevOps and container platform teams automate container operations and focus on innovation.
Tame your containerized applications
With automatic workload instrumentation in dynamic container environments, collect high fidelity observability data and trace every transaction without blind-spots across multicloud and hybrid environments. Automate problem remediation with AI-assisted root cause analysis and focus on innovation instead.
Many container workloads, one agent
While other monitoring solutions require an agent for every different technology, Dynatrace sees it all with a single agent. With the Dynatrace OneAgent you don’t need to know what’s running in every Docker container, and you don’t need to modify container images or code. Just install the OneAgent and Dynatrace does the rest.
Dynatrace is a G2 Leader in Container monitoring
Powerful core technologies
Our technologies work together to understand your ecosystem and deliver precise answers through explainable, causation-based AI, with automatic discovery and topology mapping across billions of dependencies.
Our single agent technology deploys only once on a host and instantly starts collecting all relevant metrics along the full application-delivery chain. Install it and forget it—we take care of everything.
Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.
Our dynamic topology mapping technology automatically identifies and maps interactions and relationships between applications and the underlying infrastructure. As new microservices come up or go away, the Smartscape topology map continuously updates in real-time.
Our massively parallel processing (MPP) data lakehouse is purpose-built to unify, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
Our AI engine automatically and continuously delivers precise answers. Davis® uses high-fidelity metrics, traces, logs, and user data mapped to a unified entity model to drive automation and deliver broader, deeper insights for modern cloud environments.
Monitoring a microservice and containerized environment with traditional monitoring tools is both cumbersome and ineffective. Dynatrace’s ability to give container level metrics and application performance with a single install on the host dramatically reduces the effort required to maintain our environment.Mark Kaplan Senior Director IT BARBRI Inc.