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LinkedIn Migrates Espresso to HTTP2 and Reduces Connections by 88% and Latency by 75%

InfoQ

to HTTP2, resulting in a reduction in the number of connections, latency, and garbage collection times. LinkedIn was able to dramatically improve the scalability and performance of its Espresso database by migrating it from HTTP1.1 To achieve these gains, the team had to optimize the Netty’s default HTTP2 stack to make it fit their needs.

Latency 98
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130
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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. The desire for CPU efficiency and lower latencies is easy to understand. SOSP’19. Emphasis mine). It reminds me of ZeroMQ.

Network 92
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Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. The default time-outs can significantly influence the behavior of your application when there are network errors.

Java 130
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It’s All About Replication Lag in PostgreSQL

Percona

In PostgreSQL, replication lag can occur due to various reasons such as network latency, slow disk I/O, long-running transactions, etc. Replication lag can occur due to various reasons, such as: Network latency: Network latency is the delay caused by the time it takes for data to travel between the primary and standby databases.

Latency 81
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. 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. We then collect and analyze the performance of the two clusters.

Traffic 353