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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. We will examine these alternatives in the upcoming sections.

Traffic 339
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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Save Money in AWS RDS: Don’t Trust the Defaults

Percona

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., This was exactly what was happening on this server. Want to save money on your AWS RDS bill?

AWS 124
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system. The paper examines three different uses of RocksDB at Facebook: UDB , the underlying storage engine for the MySQL databases storing the social graph data. Query volume.

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A case for managed and model-less inference serving

The Morning Paper

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).