Remove Efficiency Remove Latency Remove Open Source
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How to Scale Elasticsearch to Solve Your Scalability Issues

DZone

One such open-source, distributed search and analytics engine is Elasticsearch, which is very efficient at handling data in large sets and high-velocity queries. This extra network overhead will easily result in increased latency compared to a single-node architecture where data access is straightforward.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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SVT-AV1: an open-source AV1 encoder and decoder

The Netflix TechBlog

SVT-AV1: open-source AV1 encoder and decoder by Andrey Norkin , Joel Sole , Mariana Afonso , Kyle Swanson, Agata Opalach , Anush Moorthy , Anne Aaron SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub [link] under a BSD + patent license.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

This high level of abstraction is provided by industry-grade, open source stream processing frameworks such as Kafka Streams , Apache Flink , and Spark Structured Streaming. Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume.

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OpenTelemetry 101: A nontechnical guide for IT leaders and enthusiasts

Dynatrace

OpenTelemetry is an open source observability project that encompasses a set of APIs, libraries, agents, and instrumentation standards. Traces are used for performance analysis, latency optimization, and root cause analysis. Capture critical performance indicators such as request latency, error rates, and resource usage.

Latency 264
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Noisy Neighbor Detection with eBPF

The Netflix TechBlog

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU. For this purpose, we chose the eBPF ring buffer.

Latency 259
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What is observability? Not just logs, metrics and traces

Dynatrace

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363