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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Some of the most important KPIs are listed below. Performance optimization.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 176
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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Slower response times can be a sign of a stressed DNS server or network communication issues.

Traffic 264
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Get seamless insights into Nutanix clusters with Dynatrace

Dynatrace

Get ready for Nutanix insights: Here’s how Dynatrace helps The extension comes with a comprehensive set of essential metrics that can quickly identify the root causes of performance issues, saving time and minimizing disruptions. With Dynatrace, Nutanix metrics can be leveraged for various use cases.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network. Remote management and automated alerting are, therefore, crucial.

Retail 257
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Dynatrace SaaS on Azure now Generally Available

Dynatrace

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 320