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HTTP monitors on the latest Dynatrace platform extend insights into the health of your API endpoints and simplify test management

Dynatrace

Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. Analyzing the delivered payload (response body), response headers, or even details of requests sent during the monitors execution is invaluable when analyzing the failures root cause.

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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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What is behavior analytics?

Dynatrace

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 246
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. RabbitMQ supports high message volumes but may experience performance drops under heavy loads.

Latency 147
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Implementing service-level objectives to improve software quality

Dynatrace

In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Availability.

Software 306
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APM tools vs. APM platform: What’s the difference?

Dynatrace

This acronym can stand for application performance monitoring or application performance management — two distinct but related concepts. Application performance monitoring. Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data.

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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study. Case Study.

Analytics 191