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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

service with a composable JavaScript API that made downstream microservice calls, replacing the old Java API. Java…Script? As Android developers, we’ve come to rely on the safety of a strongly typed language like Kotlin, maybe with a side of Java. We will talk more about how we used these metrics in the sections to follow.

Latency 241
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 246
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers. In Dynatrace, tagging also allows you to control access rights (via Management Zones), filter data on dashboards or via the API as well as allowing you to control calculation of custom service metrics or extraction of request attributes.

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Optimizing Python code during development

Dynatrace

The Juniper plugin is an ActiveGate Plugin written in Python, it consists of a script that connects to a Juniper Networks device and collects some facts and metrics about it. After I call device.open , every service with “ metrics ” on its name should be executing at the same time, but they were not. seconds of response time.

Code 153
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Revisiting BetterTLS: Certificate Path Building

The Netflix TechBlog

The end result is the first major update to BetterTLS since its first release : a new suite of tests to exercise TLS implementations’ certificate path building. Java I didn’t evaluate JDKs other than OpenJDK, but the latest version of OpenJDK 11 actually performed quite well. Fixed in 1.18 ) | ? |

Servers 172
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52