Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. RocksDB is a very efficient key-value store based on LSM trees.

Storage 55

Storage Cache C++ Virtualization 55

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., For permissionless blockchains we also need to figure out who pays for the extra storage overheads… As DASL consumes resources, its costs must be explicitly accounted for in permissionless blockchains. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

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.

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.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 85

Open Source Storage Database Big Data 85

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Benchmarks xtrabackup –prepare on backup directory of other sizes like 10K, 50K, 100K, and 250K tables. This search tuple (key) is used to find the record to perform the undo operation.

Cache 83

Cache Benchmarking Servers Design 83

The Morning Paper

NOVEMBER 26, 2019

An OCaml compiler extension for generating merge functions, and also for serializing and deserializing data structures for replication, using the third component of Quark… A content-addressable distributed storage abstraction, called the Quark store.

C++ 98

C++ Storage Benchmarking Efficiency 98

Smashing Magazine

SEPTEMBER 28, 2022

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. Efficient use of a client’s resources and bandwidth can greatly improve your application’s performance. Prefetching.

Cache 125

Cache Performance Servers Social Media 125

The Morning Paper

JUNE 16, 2019

The challenging thing of course, is efficiently maintaining all of these parallel universes. If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. These ideas make an efficient multiverse database possible.

Database 90

Database Cache Benchmarking Efficiency 90

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. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dotcom-Montior

JUNE 16, 2020

SaaS businesses are built upon the simplicity of computing, storage, and networking they provide to their users. For a SaaS business, SLA compliance should effectively and efficiently establish the following criteria: Uptime. Web and mobile applications provided by SaaS businesses are meant to be straight forward to consume for users.

Infrastructure 52

Infrastructure Monitoring Mobile Benchmarking 52

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. It could help us design and implement more targeted reward functions.

Testing 163

Testing AWS Lambda Network 163

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. This separation aims to streamline transaction write logging, improving efficiency and consistency. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 93

AWS Benchmarking Performance Traffic 93

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. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 202

Best Practices Storage Java Benchmarking 202

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

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. While RDS MySQL supports multiple storage engines with varying capabilities, not all of them are optimized for crash recovery and data durability.

AWS 52

AWS Database Serverless Storage 52

Particular Software

SEPTEMBER 20, 2021

Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. If you did such a benchmark, here’s an incomplete picture you might end up with: Graph of microbenchmark showing RPC is faster than messaging.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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 114

Database Benchmarking Open Source Latency 114

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries.

Strategy 40

Strategy Storage Database Best Practices 40

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

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. This can mean that instead of failing completely, a system continues to operate, but possibly at a reduced level of efficiency.

Availability 104

Availability Database Open Source Hardware 104

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

Performance 68

Performance Benchmarking Network Mobile 68

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

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. We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. 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

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

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. In exchange, your team gains maintainability and developer efficiency, of course. To optimize storage interally, you could use Dropbox’s new Lepton format for losslessly compressing JPEGs by an average of 22%.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. On top of that, with Elena Kirilenko’s research , we can achieve fast and efficient Brotli recompression using previous compression artifacts. compared to early 2015. Normally, compression level 6 over 5 would increase CPU usage by up to 12%.

Performance 145

Performance Cache Media Metrics 145