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

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage.

Cache 130

Cache Storage Scalability Architecture 130

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 101

AWS Benchmarking Performance Traffic 101

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. PostgreSQL DigitalOcean Latency Averages (ms).

Database 230

Database Latency Benchmarking Performance 230

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Transparent huge pages (THP) disabled.

Performance 127

Performance Hardware Tuning Storage 127

Scalegrid

JANUARY 12, 2024

All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Morning Paper

NOVEMBER 8, 2020

USENIX is a nonprofit organisation committed to making content and research freely available – both conference proceedings and the recorded presentations of their events. They needed a table store to power core control plane services, which meant strong guarantees on durability, consistency, and availability.

Virtualization 126

Virtualization Latency Storage Systems 126

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. They do a much better job than what was available in PostgreSQL (pglz).

Database 118

Database Benchmarking Open Source Latency 118

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 MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 137

Tuning Cache Servers Benchmarking 137

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. 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

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

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. 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. Higher is better.

Media 145

Media Games Education Engineering 145

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). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. These VMs are not available in all regions, so you will want to check the availability in the Azure region that you are interested in using. Figure 2: Microsoft Project Olympus.

Azure 42

Azure Virtualization Storage Benchmarking 42

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. If our example document wasn’t reliant on JavaScript to construct the <my-app> custom element, the contents of the document would likely be interactive as soon as enough CSS and content was available to render meaningfully. Global Ground-Truth. 400Kbps transfer.

Performance 68

Performance Benchmarking Network Mobile 68

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. Modern network performance and availability. 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

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

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 108

Database Benchmarking Latency C++ 108

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. These systems must maintain support for I/O ordering.

Servers 40

Servers Cache Media Hardware 40

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. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

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

Smashing Magazine

JANUARY 11, 2021

Usually, the most specific and relevant ones are: Time to Interactive (TTI) The point at which layout has stabilized , key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Usually, the most specific and relevant ones are: Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI. Getting started with Webpack can be tough though.

Performance 145

Performance Cache Network Metrics 145