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Best practices and key metrics for improving mobile app performance

Dynatrace

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

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Transforming Business Outcomes Through Strategic NoSQL Database Selection

DZone

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. Factors like read and write speed, latency, and data distribution methods are essential.

Database 268
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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363
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Redis® Monitoring Strategies for 2024

Scalegrid

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130
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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 221
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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Define SLOs for each service.

Software 259
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

OpenTelemetry has become a standard for collecting traces, metrics, and logs. Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. Maintained under the Apache 2.0 However, Python models are trickier.