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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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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. We welcome more contributors to the project.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is an open-source message broker that supports multiple messaging protocols , including AMQP, STOMP, MQTT, and RabbitMQ Streams. Apache Kafka is an open-source event streaming platform for high-volume, event-driven data processing. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency.

Latency 147
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Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

Scalegrid

Does it affect latency? Yes, you can see an increase in latency. So, if you’re hosting your application in AWS or Azure and move your database to DigitalOcean, you will see an increase in latency. However, the average latencies between AWS US-East and the DigitalOcean New York datacenter locations are typically only 17.4

Azure 344
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Redis vs. Memcached – 2021 Comparison

Scalegrid

Both Redis and Memcached are: NoSQL in-memory data structures Written in C Open source Used to speed up applications Support sub-millisecond latency In 2014, Salvatore wrote an excellent StackOverflow post on […]. Memcached, on the other hand, was created in 2003 by Brad Fitzpatrick.

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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL is the number one open source database that’s commonly hosted through Azure instances. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency. At a glance – TLDR. Read-Intensive Workloads.

Azure 299
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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. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.