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

Percona

SEPTEMBER 1, 2023

Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments. Lastly, monitoring disk I/O is essential because slow I/O operations can severely impact database performance.

Tuning 52

Tuning Database Performance Hardware 52

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

HammerDB

DECEMBER 5, 2020

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. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. While MySQL can handle large data sets, it is always recommended to keep only the used data in the databases, as this will make data access more efficient, and also will help to save costs on storage and backups. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 85

Open Source Storage Database Big Data 85

HammerDB

DECEMBER 1, 2022

Jobs Configuration and Storage. The base configuration for the jobs storage can be found in the generic.xml file in the commandline section. <commandline> If the storage of job related data is not desired, then it is possible to disable/enable this feature with the jobs disable command. Use a different Browser.

Virtualization 57

Virtualization C++ Storage Database 57

Dotcom-Montior

JUNE 16, 2020

SaaS businesses are built upon the simplicity of computing, storage, and networking they provide to their users. SLA Compliance: Identify Components to Monitor. Monitor these transactions 24/7 for uptime and performance. So, monitoring third-party service/APIs continuously becomes a necessity to detect and respond to an issue.

Infrastructure 52

Infrastructure Monitoring Mobile Benchmarking 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). support for logging, monitoring, and observability. Storage provisioning. Storage options have been another big roadblock in porting data workloads on Kubernetes particularly for stateful data workloads like Zookeeper, Cassandra, etc. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

DECEMBER 20, 2018

As the MyRocks storage engine (based on the RocksDB key-value store [link] ) is now available as part of Percona Server for MySQL 5.7 , I wanted to take a look at how it performs on a relatively high-end server and SSD storage. Fsync Performance on Storage Devices. A Look at MyRocks Performance. Interested?

Database 40

Database Tuning Performance AWS 40

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

DECEMBER 26, 2023

Configuring Grafana For our purposes, the Grafana datasource used in this PoC is also the Postgres data cluster that is generating the data to be monitored. pg_stat_monitor About pg_stat_monitor is a Query Performance Monitoring tool for PostgreSQL. A script executing a benchmarking run: #!/bin/bash

Benchmarking 120

Benchmarking Metrics C++ Database 120

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Deployment performs the whole rollout, instrumentation, configuration, connection, and automatic detection of monitored entities in your environment.

Best Practices 190

Best Practices Storage Java Benchmarking 190

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

Self-managed databases come with their own set of expenses that must be factored in – managing a database requires time and effort which often includes backup storage, patching software upgrades as well as other typical administration tasks. Advantages of DBaaS Database management with DBaaS is like being on a luxury cruise.

Database 130

Database Cloud Hardware Storage 130

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 177

Database Cloud Open Source Systems 177

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 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

Tuning 135

Tuning Cache Servers Benchmarking 135

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. AWS handles essential administrative tasks, including database setup, configuration, backups, monitoring, and scaling, making it easier for businesses to manage complex database infrastructures.

AWS 52

AWS Database Serverless Storage 52

HammerDB

DECEMBER 14, 2022

Benchmark set to TPC-C for MariaDB. Building 20 Warehouses with 5 Virtual Users, 4 active + 1 Monitor VU(dict value maria_num_vu is set to 4). in host REDPOLL:3306 under user ROOT in database TPCC with storage engine INNODB? Vuser 1:Monitor Thread. Vuser 2:Waiting for Monitor Thread. TMP/hammer.DB Script cleared.

C++ 62

C++ Virtualization Database Benchmarking 62

The Netflix TechBlog

SEPTEMBER 2, 2020

In an earlier blog post, we discussed Telltale , our health monitoring system. This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

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. Monitor Query Performance : Continuously monitor query performance after partitioning.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

AUGUST 30, 2018

Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark. Analyzing read/write workload by counts. More resources that you might enjoy.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

Percona

JUNE 22, 2023

Typically, the servers are configured in a primary/replica configuration, with one server designated as the primary server that handles all incoming requests and the others designated as replica servers that monitor the primary and take over its workload if it fails. That means having a primary system and a secondary system.

Availability 105

Availability Database Open Source Hardware 105

Percona

AUGUST 22, 2023

Failure detection: Monitoring mechanisms detect failures or issues that could lead to failures. Error detection and correction: Techniques such as checksums, parity bits, and error-correcting codes are used to detect and correct errors that might occur during data transmission or storage.

Availability 78

Availability Hardware Open Source Database 78

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . monitoring. HammerDB difference from Sysbench. Otherwise find the file ut0ut.cc perf special.

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). This chart shows our scaled results using a OLTP workload derived from TPC benchmarks.

Availability 40

Availability Servers Hardware Benchmarking 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Tools and CI systems help them monitor progress & prevent regressions. Deciding what benchmark to use for a performance budget is crucial. Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow. 400Kbps transfer.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

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

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. Getting Ready: Planning And Metrics.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145