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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Many other Netflix staff spoke at re:Invent ( list here ).

Tuning 61
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Many other Netflix staff spoke at re:Invent ( list here ).

Tuning 52
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Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. By default, the response is presented in JSON format. metrics/query?metricSelector=builtin:apps.other.apdex.osAndVersion:merge(App

Metrics 234
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events. I had to setup a week of talks by all the relevant product teams, with a hundred or so of the most experienced systems engineers from all over the world as an audience.

Tuning 52
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The top 5 reasons to run your own database benchmarks

HammerDB

In all cases this is random data so presents no security challenges. If not are you going to “clean” your data so it does not present a security risk? This is especially important as the number of official published benchmarks has reduced over time as shown in the graph from this presentation on TPC relevance.