Remove Analytics Remove Azure Remove Metrics Remove Operating System
article thumbnail

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 214
article thumbnail

Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 231
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Mastering Kubernetes with Dynatrace

Dynatrace

When operating an application, it’s helpful to have deeper insights that show you what’s really going on. To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. OneAgent and its Operator .

Analytics 246
article thumbnail

Mastering Kubernetes with Dynatrace

Dynatrace

When operating an application, it ’ s helpful to have deeper insights that show you what’s really going on. Metrics to find out how the behavior of a system has changed over time . Traces help find the flow of a request through a distributed system . OneAgent and its Operator . Digital Business Analytics.

Analytics 135
article thumbnail

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 176
article thumbnail

Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Observability.

article thumbnail

Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. Monitoring & Analytics. Nomad is another container orchestration platform.