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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

But as more workloads are shifting to hundreds of separate cloud-based services running in containers across multiple platforms, observability has become exponentially more difficult. Traditionally, organizations have relied solely on logging to monitor how applications perform, and that – generally – works fine in many cases.

Metrics 192
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The road to observability with OpenTelemetry demo part 2: OpenTelemetry configuration and instrumenting applications

Dynatrace

As applications transform to be more distributed across multiple cloud environments, it becomes more important—and more difficult—to make them observable. We also introduced our demo app and explained how to define the metrics and traces it uses. We also defined the metrics and traces for our demo application using OpenTelemetry.

Metrics 199
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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 182
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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 232
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. And why it matters.

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What is synthetic monitoring?

Dynatrace

Synthetic monitoring can help to confirm your applications are performing as intended and, in the event they’re not, help you quickly figure out what’s going on. Here’s a look at what synthetic monitoring is, how it’s different from real-user monitoring, and why it matters to your business.