The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! We’d like to pack models as efficiently as possible on the underlying infrastructure. A case for managed and model-less inference serving Yadwadkar et al.,

Hardware 58

Hardware Latency Serverless Energy 58

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Real-time problem visualization of lots of environments.

Storage 211

Storage Architecture Tuning Efficiency 211

Percona

OCTOBER 18, 2023

Look closely at your current infrastructure (hardware, storage, networks, etc.) This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). Should I be bringing in external experts to help out?

Open Source 89

Open Source Database Hardware Strategy 89

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 99

Hardware Storage Big Data Blockchain 99

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.

Best Practices 52

Best Practices Design Tuning Database 52

Official Blog - World Web Technology

MAY 12, 2023

Stay tuned. The front-end of the website is what you see and interact on the display on the screen and the backend is the logical part of the app that has components such as storage, coding, content management, etc. You can go for custom, business-centric design layout and content presentation. What is Headless CMS?

Website 52

Website Development Scalability Architecture 52

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). Based on these findings, the authors present four guidelines to get the best performance out of this memory today. The guidelines… provide a starting point for building and tuning Optane-based systems. FAST’20. Optane DIMMs are here! Watch this space.

Scalability 59

Scalability Latency Cache Media 59

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less).

Virtualization 76

Virtualization AWS Engineering Hardware 76

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only.

Servers 40

Servers Cache Database Media 40

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. Stable Media Stable media is often confused with physical storage. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40