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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.

Traffic 351
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Dynatrace completes 2024 FedRAMP Moderate reauthorization with Rev.5 transition

Dynatrace

FedRAMP assessments for Moderate and High systems now require an annual Red Team exercise (in addition to the previously required penetration tests). These exercises go beyond penetration testing by targeting multiple systems and potential avenues of attack. You can find more details about the changes in Rev.5 5 on the FedRAMP website.

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Recording on JMeter

DZone

This series helps you to learn Apache JMeter in a much simpler way with the relevant examples and exercises. Recording the business flow helps to expedite the process of creating test plans. This tutorial focuses on Recording on JMeter. What Is Recording? Otherwise, you will be spending more time manually crafting the requests.

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Site-Speed Topography

CSS Wizardry

The whole point of the exercise that follows is to allow me to move quickly, spotting patterns from afar, and not having to do any slow or meticulous work yet. Of course, it’s a little more complex than that, but for this exercise it’s an incredibly reliable proxy. This is basically how many render blocking resources each page has.

Speed 328
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Replay Traffic Testing Replay traffic refers to production traffic that is cloned and forked over to a different path in the service call graph, allowing us to exercise new/updated systems in a manner that simulates actual production conditions. This approach has a handful of benefits.

Traffic 349
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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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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. A side note.

Software 245