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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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PostgreSQL Parameters: Scope and Priority Users Should Know

Percona

This can be changed later using the pg_checksums utility, but that will be a painful exercise on a big database. The most common parameter used by the PostgreSQL server (postmaster) will be PGDATA, which sets the parameter data_directory. But changing this is possible only at the server startup. 20150623 (Red Hat 4.8.5-44),

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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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DevSecOps: Recent experiences in field of Federal & Government

Dynatrace

So, I gave the following scenario: You are the Cyber Security resource attached to the DevOps team and the team just received a problem alert from Dynatrace, relating to user performance degradation localized to a single server, specifically caused by higher than normal CPU and network packets sent.

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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 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. In this case, we had a table with a couple million rows.

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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.