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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Entity tagging requires an enormous amount of manual effort and is always open to interpretation. Dynatrace news. Next steps.

Analytics 246
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Automate your monitoring orchestration with the new Environment API (Early Adopter)

Dynatrace

Automatic monitoring orchestration—the ability to automatically create, set up, and deprovision monitoring environments—can make or break your business. Easily manage environments by tagging, sorting, and filtering. To make discoverability and referencing environments more flexible, the new API supports tagging. Token creation.

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Dynatrace ServiceNow integration certified for the Orlando release

Dynatrace

Add value to the integration with Dynatrace entity tags for all Dynatrace entities in ServiceNow. Add value to the integration with Dynatrace entity tags. Until now, only information about host tags was passed from Dynatrace to ServiceNow. The tags are currently added to each ServiceNow configuration item (CI) comments field.

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Part 2: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. For orientation on the use cases in this blog series, refer to the picture below. Blog series use cases. In this example, new tagging rules are shown.

Software 203
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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Topics in this blog series.

Software 246
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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting. Business context is missing without user sessions and experiences.

Cloud 260
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How digital experience monitoring helps deliver business observability

Dynatrace

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. Dynatrace news.