The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Thursday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Thursday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Aurora Features High Performance and Scalability Amazon Aurora has gained widespread recognition for its exceptional performance and scalability, making it an ideal solution for handling demanding workloads.

AWS 52

AWS Database Serverless Storage 52

Percona

JUNE 22, 2023

For example, in a server cluster, multiple servers are used to host the same application so that if one server fails, the application can continue to run on the other servers. It also supports the flexibility and scalability of the database infrastructure.

Availability 110

Availability Database Open Source Hardware 110

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. an example is shown of the shortest of these: . HammerDB difference from Sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This scalability ensures that your applications can grow in tandem with your business or user demands, maintaining a high level of operational efficiency.

Tuning 52

Tuning Database Performance Hardware 52

SQL Performance

AUGUST 27, 2019

Figure 1 shows an example from AMD comparing a two-socket server with two Intel Xeon Gold 6262V processors to a one-socket server with one AMD EPYC 7702P processor. Figure 1: AMD Example of Two-socket vs. One-socket Server. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. This idea is not unique to AMD.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Caching partially stores your data and is not used as permanent storage. Hello World. Large preview ).

Cache 125

Cache Performance Servers Social Media 125

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). A recent performance benchmark completed by Intel and BlueData using the BigBench benchmarking kit has shown that the performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to and in some cases, better than bare-metal Hadoop [7].

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

The Morning Paper

JUNE 16, 2019

We’ll get to that, but first let’s look at some examples of privacy policies and how they can be expressed. For example: An aggregation policy could be used to rewrite any matching aggregation into a differentially-private version. The challenging thing of course, is efficiently maintaining all of these parallel universes.

Database 90

Database Cache Benchmarking Efficiency 90

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Thursday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Percona

AUGUST 22, 2023

Streaming services, for example, run mission-critical systems in which excessive downtime could result in significant financial and reputational losses for the business. Some businesses, for example, have powerful generators ready to roll if electricity is lost. It’s plenty available and plenty scalable.

Availability 80

Availability Hardware Open Source Database 80

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. For example, a shell command can report that the cluster is in an unknown state when in fact the client is successfully completing access requests. (In Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

JANUARY 11, 2020

As ​​ a ​​ simple ​​ example, ​​ take the following ​​ 2-byte string value of “AB” and apply a formula to it (Value = Position + ASCII value). ​​ Checksum ​​ is ​​ the sum of the values.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. What does it mean? Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

For example, to make performance more tangible, you could expose the revenue performance impact by showing the correlation between the conversion rate and time to application load, as well as rendering performance. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ).

Performance 145

Performance Cache Media Metrics 145