Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Keeping a tab on memory usage provides additional insight into the health of operations running through Redis® servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

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

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 106

Performance Monitoring Traffic Database 106

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

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

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 110

Availability Database Open Source Hardware 110

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. The basic tier provides up to 5 DTUs with standard storage. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

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

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Efficiency Database Performance 52

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

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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

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

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

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. It used to provide an insight into how quickly the server outputs any data.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. An extended version of SQL Server, with an integrated ONNX Runtime engine executes the query. " Query execution.

Processing 72

Processing Hardware Database Azure 72

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean?

Performance 145

Performance Cache Network Metrics 145

The Morning Paper

OCTOBER 4, 2020

Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. When it comes to latency the authors measured RTTs for four 5G base stations spread across the city, and 20 other Internet servers nationwide.

Energy 130

Energy Latency Performance Network 130

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Long FMP usually indicates JavaScript blocking the main thread, but could be related to back-end/server issues as well.

Performance 103

Performance Cache Metrics Network 103

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. Hardware Past As Performance Prologue. The fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest.

Performance 124

Performance Network Cache Metrics 124

SQL Server According to Bob

JUNE 3, 2016

SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. Ryan Stonecipher – Principle SQL Server Software Engineer. SQL Server. set nocount on.

Hardware 40

Hardware Cache Servers Software Engineering 40

Percona

MAY 6, 2024

Since Valkey (a fork of Redis) is around the corner, I thought to write a short blog post about some of the configuration parts, mainly discussing how to dynamically change certain settings and persist those inside the configuration file.Disk persistenceLet me start with a very important setting, which is “SAVE,” that helps in performing (..)

Performance 94

Performance Cache Hardware Storage 94

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). I will compare AWS Aurora with MySQL (Percona Server) 5.6

Cache 47

Cache C++ AWS Airlines 47

Smashing Magazine

JANUARY 15, 2019

So, apart from powering servers with renewable energy, what else can web developers do about climate change? This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. Server-Side Performance. You Can’t Manage What You Can’t Measure”.

Website Performance 73

Website Performance Website Energy Performance 73

Alex Russell

OCTOBER 22, 2017

Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them. For a timely introduction, I recommended Kevin Schaaf’s recent talk.

Performance 68

Performance Benchmarking Network Mobile 68

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Permanent redirection means that the client is able to cache the mapping between the shard and the node. This redirect is a one-time and should not be cached. Data Placement. Davies, and T. Lakshman, P.Malik.

Database 213

Database Latency C++ Scalability 213

All Things Distributed

JANUARY 18, 2012

Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. Developers can store and retrieve any amount of data and DynamoDB will spread the data across more servers as the amount of data stored in your table grows.

Scalability 167

Scalability Database Ecommerce Latency 167

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