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Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)

Dynatrace

In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. To start your analysis, select Diagnostic tools from the navigation menu and select Multidimensional analysis. To find out, select the Backtrace button at the top-right corner of the Failure analysis page (see below).

Metrics 165
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Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes

Dynatrace

Dynatrace customers have the ability to leverage PurePath distributed tracing functionality in driving adhoc multidimensional analysis (MDA) on any kind of data available within their microservices. A larger financial institution is using the analysis to report business metrics on dashboards and make them accessible via the Dynatrace API.

Metrics 158
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

Traffic 339
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An approach to index tuning – Part 2

SQL Performance

In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. This is where index tuning becomes an art. It's a lot friends, which is why it's ironic that I initially thought about stating that index tuning was easy.

Tuning 137
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How to fine tune failure detection

Dynatrace

Automatic failure detection works well in most cases especially for web services and when developers follow good coding practices. It is basically an exception which the code doesn’t expect to occur and therefore doesn’t deal with. For instance, if I expect a “dataValidationException”, the code would look like this: Try. {.

Tuning 115
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Optimize your applications with 24×7 continuous thread analysis

Dynatrace

Thread dumps allow Java developers to understand which threads execute which code and whether or not certain threads are waiting or locked. Thread dumps are now a thing of the past; the future belongs to 24×7 continuous thread analysis. Identify and solve performance bottlenecks faster with continuous thread analysis.

Java 102
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

Without an observability platform to collect and process signals, and provide AI-powered answers for problem detection, root cause identification, and impact analysis, the migration to ARM remains only a roadmap item for many AIOps teams. Error logs for the process reveal a PHP syntax error with code-level information that caused the outage.