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What is distributed tracing and why does it matter?

Dynatrace

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

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What is distributed tracing and why does it matter?

Dynatrace

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

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Digital first, and always: Five critical metrics for measuring customer experience at federal agencies

Dynatrace

Observability tools deliver AI-enabled monitoring, which automatically tracks and provides visibility into these five metrics, among many others. This memo arrives at a time when citizen satisfaction with U.S. government services has reached a general decline in recent years. down from a high of 72.3

Metrics 246
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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. In 2006, Dynatrace released the first production-ready solution for distributed tracing with code-level insights.

Analytics 236
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Why Waits Alone Are Not Enough

SQL Performance

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". Waits data is surfaced by many SQL Server performance monitoring solutions, and I've been an advocate of tuning using this methodology since the beginning.

Tuning 115
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The Performance Golden Rule Revisited

Tim Kadlec

Revisiting the golden rule Way back in 2006, Tenni Theurer first wrote about the 80 / 20 rule as it applied web performance. Among 50,000 websites the HTTP Archive was monitoring at the time, 87% of the time was spent on the frontend and 13% on the backend. I was curious, so I figured I would oblige.

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The psychology of site speed and human happiness

Speed Curve

The participants wore an EEG (electroencephalography) cap to monitor their brainwave activity while they performed routine online transactions. Over the past dozen or so years, user surveys have revealed that what we claim to want changes over time – from 8-second load times back in 1999 to 4 seconds in 2006 to around 2 seconds today.

Speed 138