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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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How To Implement Video Information and Editing APIs in Java

DZone

In the past 15+ years, online video traffic has experienced a dramatic boom utterly unmatched by any other form of content. It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.

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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

However, performance can decline under high traffic conditions. By analyzing benchmark results, organizations can determine which system aligns best with their infrastructure needswhether its high-speed event processing or reliable message queuing for microservices. RabbitMQ ensures fast message delivery when queues are not overloaded.

Latency 147
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

A single API team maintained both the Java implementation of the Falcor framework and the API Server. The control group’s traffic utilized the legacy Falcor stack, while the experiment population leveraged the new GraphQL client and was directed to the GraphQL Shim. The Replay Tester tool samples raw traffic streams from Mantis.

Traffic 357
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Protect your organization against zero-day vulnerabilities

Dynatrace

Although IT teams are thorough in checking their code for any errors, an attacker can always discover a loophole to exploit and damage applications, infrastructure, and critical data. Typically, organizations might experience abnormal scanning activity or an unexpected traffic influx that is coming from one specific client.

Java 261
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Java 246