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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Let’s take a closer look at what observability in dynamic AWS environments means, why it’s so important, and some AWS monitoring best practices. AWS monitoring best practices. Here are some best practices for maintaining AWS observability in larger, multicloud environments. Watch demo now!

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

Dynatrace

In the first part of this three-part series, The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces with OpenTelemetry , we talked about observability and how OpenTelemetry works to instrument applications across different languages and platforms. api/v2/otlp/v1/traces'; $metricsURL = $baseURL. '/api/v2/otlp/v1/metrics';

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

By leveraging the power of the Dynatrace ® platform and the new Kubernetes experience, platform engineers are empowered to implement the following best practices, thereby enabling their dev teams to deliver best-in-class applications and services to their customers. Monitoring-as-code can also be configured in GitOps fashion.

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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization. Ensure expected production behavior One Dynatrace team is responsible for the demo applications we use to demonstrate Dynatrace capabilities.

DevOps 186
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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. This metric indicates how quickly software can be released to production. Dynatrace news.

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Efficient SLO event integration powers successful AIOps

Dynatrace

Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO. Data Explorer “test your Metric Expression” for info result coming from the above metric. Contact us for a free demo. Interested in learning more?

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Simplify cloud operations with automated observability into your Azure Automation service

Dynatrace

Receive alerts for any metric event in your Azure Automation account. The Dynatrace Software Intelligence Platform provides a simple one-click setup and integration for ingestion of metrics from Azure Monitor, which facilitates data consolidation. Receive alerts for any metric event in your Azure Automation account.

Azure 260