The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100

AWS Entertainment Open Source Benchmarking 100

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. 0.42 %sys 9.52

Performance 54

Performance Benchmarking Cache Storage 54

HammerDB

JANUARY 5, 2019

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.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 102

Performance Monitoring Traffic Database 102

Percona

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Transparent huge pages (THP) disabled.

Performance 124

Performance Hardware Tuning Storage 124

Percona

JUNE 22, 2023

Failover mechanisms The primary purpose of failover — the automatic process of switching from a failed or offline database server to a standby or backup server — is to ensure user access and functionality of databases without interruption, even if there is a hardware or software failure.

Availability 105

Availability Database Open Source Hardware 105

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. A node completes the SST process faster and joins the PXC cluster quickly. Benchmarks xtrabackup –prepare on backup directory of other sizes like 10K, 50K, 100K, and 250K tables.

Cache 85

Cache Benchmarking Servers Design 85

Percona

JANUARY 19, 2023

Compression: Compression is the process of restructuring the data by changing its encoding in order to store it in fewer bytes. It can help us to save costs on storage and backup times. 1 mysql mysql 592K Dec 30 02:48 tb1.ibd ibd -rw-r --. 1 mysql mysql 464K Dec 30 02:48 tb2.ibd ibd -rw-r --. 1 mysql mysql 464K Dec 30 02:48 tb3.ibd

Open Source 85

Open Source Storage Database Big Data 85

HammerDB

DECEMBER 5, 2020

Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. In the days before highly performant SSDs and persistent memory, database benchmarks had a significant challenge in comparing performance due to the available I/O performance.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. Amazon Aurora is a relational, proprietary, closed-source database engine with all that that implies. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. But this comes with a considerable performance implication.

Database 115

Database Benchmarking Open Source Latency 115

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK.

Testing 163

Testing AWS Lambda Network 163

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Performance. Custom schedulers.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Efficiency Database Performance 52

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The process model, user-kernel interactions, dynamic linking, and memory management concerns are all in scope, and the protection spans the OS/DBMS boundary. CHERI implementation.

C++ 61

C++ Hardware Virtualization Benchmarking 61

CSS - Tricks

JUNE 5, 2020

The HBO sitcom Silicon Valley hilariously followed Pied Piper, a team of developers with startup dreams to create a compression algorithm so powerful that high-quality streaming and file storage concerns would become a thing of the past. In my benchmarks, Brotli:11 takes several hundred milliseconds to compress a single minified jQuery file.

Cache 79

Cache Website Servers Open Source 79

Alex Russell

APRIL 29, 2021

Apple Corporate is at fault, not Open Source engineers or the line managers who support them. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. So is speedy resolution and agreement.

Media 145

Media Games Education Engineering 145

Smashing Magazine

JANUARY 6, 2020

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Micro-optimizations are great for keeping performance on track, but it’s critical to have clearly defined targets in mind — measurable goals that would influence any decisions made throughout the process. dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks.

Performance 145

Performance Cache Media Metrics 145

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. And since this setup process was so new to me, I had a hard time thinking about how to phrase my questions.

Programming 98

Programming Code Design Benchmarking 98