Remove Event Remove Java Remove Scalability
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ?

Latency 147
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

In order to allow for this mimicking, many systems implement an event handling, where they convert our request into a call to the real service with properties enabled to log when titles are filtered out of their response and why. Conclusion Throughout this series, weve explored the journey of enhancing title launch observability at Netflix.

Traffic 180
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Kubernetes in the wild report 2023

Dynatrace

Java, Go, and Node.js Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Messaging : RabbitMQ and Kafka are the two main messaging and event streaming systems used. Java, Go, and Node.js Java Virtual Machine (JVM)-based languages are predominant.

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Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Dynatrace

Both backend and report service are implemented in Java, but Robert found no Java runtime-related issues, either. Analyzing: Looking for unusual Kubernetes event activity. So Robert analyzed the data and events Dynatrace captured for the Kubernetes cluster responsible for keeping the pods running. But that’s about it.

Java 246
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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer. This created problems with both visibility and scalability. “For example, if most teams run Java, it might not make sense trying to support an outlier.

Strategy 264
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. T his feature requires Java 11+. . Dynatrace news. Save on CPU resources.

Speed 214
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g., Triggers are powerful mechanisms that react to events dynamically and in real time. Amazon Redshift) and Elasticsearch machines.

Database 156