Percona

APRIL 17, 2023

It is common to see a value of “ 0″ ( or sometimes “10” ) on database servers, telling the kernel to prefer to swap to memory for better response times. 20-30% is a good general default for “dirty_ratio,” but on large-memory database servers, this can be a lot of memory.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

JULY 25, 2023

The data is internally inconsistent because the server concurrently modifies the data files while they are being copied. The changes done by an uncommitted transaction can be flushed or written to the redo log by the server. Initializing a DD engine and the cache adds complexity and other server dependencies.

Cache 86

Cache Benchmarking Servers Design 86

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. On design systems, UX, web performance and CSS/JS. Client Side Rendering, Server Side Rendering And Jamstack. But during SSR, the client retrieves the HTML from the server.

Cache 126

Cache Performance Servers Social Media 126

SQL Performance

OCTOBER 7, 2020

Its raison d’être is to cache result rows from a plan subtree, then replay those rows on subsequent iterations if any correlated loop parameters are unchanged. Table-valued functions use a table variable, which can be used to cache and replay results in suitable circumstances. Spools are the least costly way to cache partial results.

Servers 106

Servers Cache Azure Performance 106

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM.

Monitoring 99

Monitoring Scalability Cache Database 99

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

SQL Server According to Bob

NOVEMBER 8, 2016

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Block storage is what you think of today as disk access.

Cache 40

Cache Servers Media Storage 40

Percona

APRIL 3, 2023

Upgrade Complete - Optimizer statistics are not transferred by pg_upgrade so, once you start the new server, consider running: /analyze_new_cluster.sh The file update_extensions.sql when executed by psql by the database superuser will update these extensions. Running this script will delete the old cluster's data files: /delete_old_cluster.sh

C++ 102

C++ Cache Database Storage 102

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.

Performance 110

Performance Latency Cache Virtualization 110

Percona

SEPTEMBER 1, 2023

Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets. Detecting and optimizing slow queries is an important step in enhancing database performance.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

FEBRUARY 6, 2020

.’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.

Lambda 98

Lambda Serverless Cache Latency 98

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

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. In a recent customer engagement, the application needed to load 10M objects into each server of the IMDG’s cluster to make full use of high-end servers with 60GB memory capacity.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort focuses attention on memory usage and disk space requirements of SQL Server.

IoT 61

IoT Servers Development Cache 61

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Smashing Magazine

OCTOBER 26, 2021

We will go through how to set up an Nx server, how to add a plugin to an existing server, and the concept of a monorepo with a practical visualization. Nx uses distributed graph-based task execution and computation caching to speed up tasks. Nx also stores the cached project graph. Cloud storage. applications.

Cache 110

Cache Servers Code Storage 110

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Why are developers using RInK systems as part of their design? TBH, I never interpreted it quite so strictly.

Cache 79

Cache Latency Google Lambda 79

Percona

JUNE 22, 2023

Load balancing : Requests are evenly distributed across multiple database servers, ensuring the system remains operational even if one server fails. Automated failover : To keep the database operational and minimize downtime, it automatically switches to a backup server if the primary server fails.

Availability 108

Availability Database Open Source Hardware 108

HammerDB

JUNE 27, 2022

Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. The two types of Django deployments are: Single-Server.

Media 69

Media Cache Storage AWS 69

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. DonHopkins : NeWS differs from the current technology stack in that it was all coherently designed at once by James Gosling and David Rosenthal, by taking several steps back and thinking deeply about all the different problems it was trying to solve together.

Internet 121

Internet Internet Scalability Automotive 121

Percona

JULY 17, 2023

Instead of the table-based structure of relational databases, MongoDB stores data in documents and collections, a design for handling large amounts of unstructured data and for real-time web applications. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. It ranks No.

Open Source 76

Open Source Database Scalability Software 76

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process.

Open Source 52

Open Source Servers Storage Scalability 52

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.

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

DECEMBER 23, 2020

The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. The service workers also retrieve the latest data once the server connection is restored. When developing a PWA, you can cache the application shell’s resources and assets in the browser.

Cache 124

Cache Internet Internet Google 124

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. The key factor is that the whole data structure resides in the same location (node), facilitating the operations.

Traffic 124

Traffic Scalability Database Servers 124

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52

Tuning Efficiency Database Performance 52

The Morning Paper

MARCH 10, 2020

So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads. This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Smashing Magazine

OCTOBER 29, 2019

Considering how important images are to web design, this isn’t an element we can dispose of so easily nor can we afford to cut corners when it comes to optimizing them. Here’s what Google suggests: PageSpeed Insights demonstrates how much storage and bandwidth websites stand to save with WebP. What Is WebP Caching? That’s okay.

Website 72

Website Speed Cache Google 72

The Morning Paper

SEPTEMBER 10, 2019

Under the covers, it’s a sophisticated distributed system built on the tenets of cloud-native systems: Disaggregated (remote) storage, with read or write operations performed via RPCs, and immutable data (append only files). Shared compute tier designed to scale horizontally with many small tasks rather than a small number of large tasks.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Looking back now, things seem to have changed quite significantly.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage 93

Storage Mobile Website Java 93

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval.

Analytics 52

Analytics Airlines Cache Scalability 52

IO River

NOVEMBER 2, 2023

Given its unchanging nature, static content is ideal for caching. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged.

Architecture 52

Architecture Performance Internet Internet 52