AWS Presentation Traffic Tuning 
Dynatrace
APRIL 25, 2023
For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Scale automatically based on the demand and traffic patterns.
Brendan Gregg
DECEMBER 31, 2017
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. Casey Rosenthal (traffic and chaos) Models of Availability.
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Brendan Gregg
DECEMBER 30, 2017
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. Casey Rosenthal (traffic and chaos) Models of Availability.
Dynatrace
JUNE 26, 2020
Dynatrace Synthetic Monitoring helps you quickly verify if your application is delivering the expected end user experience by offering an outside-in view of all your applications and services, independent of real traffic. Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?,
Brendan Gregg
SEPTEMBER 25, 2021
Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration.
Percona
APRIL 17, 2023
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. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.
The Netflix TechBlog
OCTOBER 18, 2019
One of the challenges he described was how to efficiently choose a decision point, when the joint optimization search presented a Pareto frontier in the possible solution space. Data privacy is increasingly important and presents its own set of challenges. dxblearn also allows them to fire off training jobs for hyperparameter tuning.
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