The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 38

AWS Entertainment Open Source Benchmarking 38

Dynatrace

JUNE 27, 2022

In reality, only highly scalable RUM solutions can collect data on all user actions, while less scalable tools must sample user actions and make inferences from partial data. In some cases, you will lack benchmarking capabilities. connectivity, access, user count, latency) of geographic regions.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Scalegrid

APRIL 10, 2025

Testing and Validation Post-upgrade, its vital to conduct performance benchmarking to confirm that the new setup operates within acceptable parameters. Conducting load tests on the new MongoDB setup can help verify that it meets expected performance benchmarks. This helps prevent any disruptions or functionality issues post-upgrade.

Best Practices 130

Best Practices Benchmarking Strategy Database 130

The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Percona

MARCH 20, 2023

Let us take a look also the latency: Here the situation starts to be a little bit more complicated. MySQL Router is the one that has the higher latency no matter what. Looking at the latency, we can see that HAProxy gradually increased as expected, while ProxySQL and MySQL Router just went up from the 256 threads on.

Games 141

Games Latency Traffic Cache 141

High Scalability

OCTOBER 29, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments.

AWS 133

AWS Latency Performance Open Source 133

Percona

MARCH 23, 2023

Nowadays, solid-state drives (SSDs) or non-volatile memory express (NVMe) drives are preferred over traditional hard disk drives (HDDs) for database servers due to their faster read and write speeds, lower latency, and improved reliability. Benchmark before you decide. Transparent huge pages (THP) disabled.

Performance 144

Performance Hardware Tuning Storage 144

Scalegrid

JANUARY 12, 2024

Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field. This also aids scalability down the line. Just like a conductor orchestrating an ensemble of instruments to play at specific times for optimal performance.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations.

Strategy 130

Strategy Cloud Government Innovation 130

The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. The experimental results focus on six main areas of comparison: query restrictions system initialisation time query performance cost data compatibility with other systems scalability.

Architecture 76

Architecture Cloud Storage Serverless 76

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%

Architecture 52

Architecture Latency Benchmarking AWS 52

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There was an excellent first benchmarking report of the Cluster GPU Instances by the folks at Cycle Computing - " A Couple More Nails in the Coffin of the Private Compute Cluster " The Top500 supercomputer list. All Things Distributed. Comments ().

AWS 62

AWS Cloud Benchmarking Storage 62

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Abhishek Tiwari

DECEMBER 27, 2017

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]. Performance. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

HammerDB

OCTOBER 12, 2018

For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. maximum transition latency: Cannot determine or is not supported. . HammerDB difference from Sysbench. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

HammerDB

JULY 6, 2024

sysbench-tpcc offers the ability to build multiple schemas to work around scalability issues, however the TPC-C specification uses a single set of tables which can be built as follows. Throughput: events/s (eps): 8162.5668 time elapsed: 300.0356s total number of events: 2449061 Latency (ms): min: 0.35 queries: 69660450 (232173.91

C++ 52

C++ Hardware Benchmarking Virtualization 52

VoltDB

JUNE 1, 2017

In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota).

Hardware 56

Hardware Latency Virtualization Cloud 56

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. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Server According to Bob

SEPTEMBER 26, 2016

Our customers who deployed Availability Groups were now using servers for primary and secondary replicas with 12+ core sockets and flash storage SSD arrays providing microsecond to low millisecond latencies. This chart shows our scaled results using a OLTP workload derived from TPC benchmarks. one without a replica).

Availability 40

Availability Servers Hardware Benchmarking 40

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

VoltDB

JUNE 1, 2017

In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota).

Hardware 40

Hardware Latency Virtualization Cloud 40

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?

Best Practices 21

Best Practices Performance Processing Systems 21

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This does not apply to read (SELECT) traffic.

Tuning 52

Tuning Database Performance Hardware 52

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time. No one likes a white blank screen, especially your users.

Cache 141

Cache Performance Servers Architecture 141

SQL Server According to Bob

JANUARY 11, 2020

The caching of data pages and grouping of log records helps remove much, if not all, of the command latency associated with a write operation. Action Description Manual Checkpoint – Target Specified I/O latency target set to ​​ the default ​​ of ​​ 20ms.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 112

Performance Cache Servers Network 112