Container monitoring
Real-time observability into dynamic container environments
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.
Auto discover containers
Dynatrace automatically creates a complete, real-time topology of your container environment. We discover all your containers and what’s running inside of them, and we know when containers are spun up or down, so your topology is always up to date.
We’ve got you covered
Regardless of which technologies you are using to orchestrate and run your containers, Dynatrace can tell you exactly what’s going on. We go beyond just simple infrastructure metrics to tell you about your application, user experience, and business transactions.
Dynatrace is a G2 Leader in Container monitoring
Powerful core technologies
Get precise answers and automation through hypermodal AI, with automatic discovery and topology mapping across billions of dependencies.
-
Davis AI
Our hypermodal AI uniquely combines predictive AI, causal AI, and generative AI. Davis® AI uses high-fidelity topology, metrics, traces, logs, and user data to deliver precise answers, intelligent automation, and AI recommendations.
-
AutomationEngine
Our answer-driven automation technology leverages causal AI to intelligently power BizDevSecOps workflows throughout multicloud ecosystems.
-
AppEngine
Our secure, serverless, auto-scaling runtime environment makes it easy to create custom, compliant, data-driven apps that address the use cases most important to you.
-
Grail
Our massively parallel processing (MPP) data lakehouse is purpose-built to ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
-
Smartscape
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.
-
Unified Ingest
Our ability to contextualize all your data through ingest and capture on any environment, including from open-source data sets like OpenTelemetry.
-
OneAgent
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.
-
PurePath
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.
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.
Get a free trial
