Remove Exercise Remove Metrics Remove Processing
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Site-Speed Topography

CSS Wizardry

Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Higher variance means a less stable metric across pages. I can see from the screenshot above that TTFB is my most stable metrics—no one page appears to have particularly expensive database queries or API calls on the back-end.

Speed 337
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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. The Mantis query language allowed us to set the percentage of replay traffic to process. We continued ramping up and eventually reached 100% replay.

Traffic 349
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. This approach has a handful of benefits.

Traffic 347
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AWS and Dynatrace automation hit the jackpot at Perform Las Vegas

Dynatrace

Across the two days, there were sixteen new sessions – delivered for the first time – based on content derived from lab exercises developed and delivered by working with Dynatrace experts and our Partner communicate to showcase Dynatrace’s newest features. You can see a similar automation process on this GitHub repo.

AWS 245
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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. Metrics abstract you away from all details.

Software 245
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Seven benefits of AIOps to transform your business operations

Dynatrace

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

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Service level objectives: 5 SLOs to get started

Dynatrace

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience. or above for the checkout process.

Latency 245