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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. This approach has a handful of benefits.

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How to Assess MySQL Performance

HammerDB

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement.

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A use case for sp_prepare / sp_prepexec

SQL Performance

So when their compiled application sends ad hoc queries to SQL Server, particularly as a prepared statement, and when we don't have the freedom to add or change indexes, several tuning opportunities are immediately off the table. You won't be able to check the plan cache for these results, because of the recompile.

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. sounds like a homework exercise of purely academic value. They are: **Performance mantras**. Don't do it. Do it, but don't do it again. Do it less. Do it later. Do it concurrently.

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. sounds like a homework exercise of purely academic value. They are: **Performance mantras**. Don't do it. Do it, but don't do it again. Do it less. Do it later. Do it concurrently.

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

percent availability in the event of a server, a rack of servers, or an Availability Zone failure. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene. Auto Scaling is on by default for all new tables and indexes.

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