Remove Exercise Remove Storage Remove Systems Remove Tuning
article thumbnail

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 technique facilitates validation on multiple fronts.

Traffic 339
article thumbnail

Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. Usual exceptions raised by our system that is now considered to be normal by Davis.

Metrics 170
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. For storage, FIO is generally used. Database: MySQL 8.0.31

article thumbnail

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

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

Internet 128
article thumbnail

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.

article thumbnail

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.

article thumbnail

The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”