Percona

JANUARY 24, 2023

Individual processes generate WAL records, and latency is very crucial for transactions. Configured checkpoint frequency, the chance of checkpoints triggered by WAL generation, storage performance, acceptable CPU overhead, type of CPU architecture, and many other factors. Download Percona Distribution for PostgreSQL Today!

Database 118

Database Benchmarking Open Source Latency 118

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

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. 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

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. So to test I took a system with Skylake CPUs and all storage on a P4800X SSD. In the recent MySQL 8.0.16

Testing 48

Testing Tuning Latency Storage 48

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 137

Tuning Cache Servers Benchmarking 137

Uber Engineering

MARCH 12, 2017

With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala , the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies … The post Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop appeared (..)

Processing 101

Processing Latency Storage Engineering 101

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all.

Best Practices 52

Best Practices Design Tuning Database 52

Abhishek Tiwari

DECEMBER 27, 2017

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. Storage provisioning. But Kubernetes storage is evolving quite quickly. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. In the MySQL open source ecosystem, we have only two consolidated ways to perform sharding — Vitess and ProxySQL.

Traffic 125

Traffic Scalability Database Servers 125

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. An embodiment for structured data for IoT.

Blockchain 94

Blockchain Internet Internet IoT 94

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. Every time data spikes - a phenomenon which will be not predictable in most cases - overall latency to process the data using data pipeline will go up.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

MAY 28, 2019

The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. An end-to-end architecture. One such possible representation is pure analog signalling. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

The Netflix TechBlog

NOVEMBER 2, 2021

It has become a de facto standard for perceptual quality measurements within Netflix and, thanks to its open-source nature , throughout the video industry. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. via bug fixes). We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. While database neogenesis has slowed down considerably, it has not gone necrotic.

Storage 199

Storage Performance AWS Efficiency 199

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Large preview ). There are many tools allowing you to achieve that: SiteSpeed.io

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

dashboard (open source), SpeedCurve and Calibre are just a few of them, and you can find more tools on perf.rocks. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. There are many tools allowing you to achieve that: SiteSpeed.io Use progressive enhancement as a default.

Performance 103

Performance Cache Metrics Network 103

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Commenters forwarding these claims, as a rule, do not understand browser architecture. Small Changes to Restore Choice #.

Google 121

Google Mobile Engineering Internet 121

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Enter graph databases.

Database 134

Database Logistics Availability Social Media 134

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices.

Systems 63

Systems Cache Website Network 63