Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete. But the answer isn’t that simple.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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 127

Performance Hardware Tuning Storage 127

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

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 106

Performance Monitoring Traffic Database 106

Particular Software

OCTOBER 26, 2020

Backed by Cosmos DB, a fully managed, globally distributed, elastically scaled, pay-as-you-go service, your NServiceBus-based systems can benefit from guaranteed single-digit-millisecond latency with 99.999% availability. How does this compare with Azure Storage Persistence?

Azure 52

Azure Storage Benchmarking Latency 52

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. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 137

Tuning Cache Servers Benchmarking 137

The Morning Paper

NOVEMBER 8, 2020

That’s not just theoretical, Facebook actually did this in production while Delos was processing over 1.8 replacing Paxos with Raft), or they could be shims over external storage systems. A minimal Loglet needs to provide totally ordered, durable storage via the shared log API. billion transactions per day. The NativeLoglet.

Virtualization 126

Virtualization Latency Storage Systems 126

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. My key takeaways as a TL;DR: Store your data in S3 Use portable data format that gives you future flexibility to process it with multiple different systems (e.g. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best.

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 118

Database Benchmarking Open Source Latency 118

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth. A good example of how tuning is an iterative process. Checkpoint not complete.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

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

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. By analyzing disk I/O metrics, you can optimize queries to reduce disk reads or upgrade to faster storage solutions.

Tuning 52

Tuning Database Performance Hardware 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. 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

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. On your first try, you can use it as a benchmark for optimizations later. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern.

Cache 125

Cache Performance Servers Social Media 125

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Advances in browser content processing. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate.

Performance 124

Performance Network Cache Metrics 124

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

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Answering it requires an understanding of how browsers process resources (which differs by type) and the concept of the critical path. This input processing happens on document’s main thread , where JavaScript runs. ” A good question! Construction of DOM.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

APRIL 29, 2021

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. With each team, benchmarks lost are understood as bugs. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 145

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. . maximum transition latency: Cannot determine or is not supported. .

Best Practices 40

Best Practices Scalability Performance C++ 40

The Netflix TechBlog

SEPTEMBER 2, 2020

When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. 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

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

DBCC Page Auditing DBCC page auditing is the process of executing common DBCC consistency checks as pages are read from disk. Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

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? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

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. Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 145

Performance Cache Media Metrics 145