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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

When software runs in a monolithic stack on on-site servers, observability is manageable enough. In this OpenTelemetry demo series, we’ll take an in-depth look at how to use OpenTelemetry to add observability to a distributed web application that originally didn’t know anything about tracing, telemetry, or observability.

Metrics 185
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When Do SQL Server Sorts Rewind?

SQL Performance

Its raison d’être is to cache result rows from a plan subtree, then replay those rows on subsequent iterations if any correlated loop parameters are unchanged. For more background on these performance spools see my prior article. Spools are the least costly way to cache partial results. Demo 1: Inaccurate Rewinds.

Servers 106
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Front-End Performance Checklist 2021

Smashing Magazine

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Web performance is a tricky beast, isn’t it?

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

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Nested Loops Joins and Performance Spools

SQL Performance

Performance spools are lazy spools added by the optimizer to reduce the estimated cost of the inner side of nested loops joins. An example plan shape showing a lazy table performance spool is below: The questions I set out to answer in this article are why, how, and when the query optimizer introduces each type of performance spool.

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AWS serverless services: Exploring your options

Dynatrace

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Let’s get started. Serverless architecture: A primer. Application integration.

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Observability vs. monitoring: What’s the difference?

Dynatrace

Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. This centralized, automatic approach eliminates the need for manual diagnostics.