Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 101

Monitoring Scalability Cache Database 101

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Given its unchanging nature, static content is ideal for caching.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. HLS ensures users get the optimal video quality based on their internet performance.

Architecture 52

Architecture Performance Internet Internet 52

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. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. Cached vs Scaled Workloads. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Smashing Magazine

JANUARY 6, 2020

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 145

Performance Cache Network Metrics 145

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB.

Open Source 52

Open Source Servers Storage Scalability 52

Smashing Magazine

JANUARY 7, 2019

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 103

Performance Cache Metrics Network 103

Percona

MAY 2, 2023

PBM is a fully-supported community backup tool capable of performing cluster-side consistent backups in MongoDB for replica sets and sharded clusters. The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process.

Best Practices 52

Best Practices Database Storage Servers 52

SQL Server According to Bob

MAY 19, 2019

For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. Partitioning allows SQL Server to scale to the largest systems with record-setting performance. This means the readers use memory local to their CPU, reducing memory invalidations improving performance. Hash Table Sizes.

IoT 61

IoT Servers Development Cache 61

The Morning Paper

JUNE 16, 2019

For good query performance we’d like to pre-compute these per-user 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. It therefore requires partially-materialized views that support high-performance updates.

Database 90

Database Cache Benchmarking Efficiency 90

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. A persistent problem: managing pointers in NVM Bittman et al.,

Hardware 56

Hardware Programming Media Storage 56

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

JANUARY 17, 2019

now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. For my test, I need to choose: Aurora instance type and comparison.

Cache 47

Cache C++ AWS Airlines 47

Smashing Magazine

OCTOBER 22, 2019

Plus, now that Google has made mobile-first indexing the default, you really can’t afford to let any performance optimizations fall by the wayside what with how difficult it can be to get your mobile site as speedy as your desktop. There was no need to move their images to ImageKit or another third-party storage service.

Mobile 62

Mobile Media Website Storage 62

SQL Performance

AUGUST 23, 2019

In traditional row-mode execution plans, SQL Server may introduce a Bitmap operator as part of performing early semi join reduction before a parallel hash or merge join. The SQL Server batch mode implementation of a Bloom filter is optimized for modern CPU cache architectures and is known internally as a complex bitmap. Background.

Servers 75

Servers Engineering Efficiency Retail 75

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. This schema provides good performance because individual updates are replaced by asynchronous batch processing.

Database 213

Database Latency C++ Scalability 213

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. 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. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40