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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 205
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

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

Dynatrace

We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.

Metrics 168
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Perform 2020: Transform the way you work – Product update

Dynatrace

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. Cluster and container Log Analytics. End-user monitoring. Dynatrace news. Full-stack observability. End-to-end code-level tracing.

AWS 127
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What is APM?

Dynatrace

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.