Dynatrace

DECEMBER 13, 2023

User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. This can be achieved by reducing the size of files or images, using caching, and compressing data. Load time and network latency metrics. Optimize images and videos.

Best Practices 246

Best Practices Mobile Metrics Performance 246

Dynatrace

DECEMBER 15, 2020

Upcoming Operating systems support changes. The following operating systems will no longer be supported starting 01 February 2021. The following operating systems will no longer be supported starting 01 May 2021. The following operating systems will no longer be supported starting 01 June 2021.

Operating System 165

Operating System Java Mobile Cache 165

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

MAY 11, 2024

It uses a filesystem cache and write-ahead log for crash recovery. Compaction operation defragments data files & indexes. However, keep in ming that it does not release space to the operating system. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache.

Storage 130

Storage Engineering Cache Database 130

Percona

APRIL 24, 2023

The more indexes, the more the requirement of memory for effective caching. If we don’t increase the available memory, this starts hurting the entire performance of the system. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache.

Tuning 139

Tuning Cache Storage Database 139

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let's study ‘nice CPU time’. What Is ‘nice’ CPU Time?

Operating System 133

Operating System Hardware Metrics Systems 133

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea. What about arrays? We want Zippads to compress both well.

Cache 61

Cache Benchmarking Hardware Java 61

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Operating system Linux is the most common operating system for high-performance MySQL servers. A recommended value is two times the number of CPUs plus the number of disks.

Performance 144

Performance Hardware Tuning Storage 144

Scalegrid

JANUARY 21, 2025

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

MAY 15, 2014

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. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

ACM Sigarch

APRIL 2, 2025

While implementing such an instruction set in commercial CPUs could take timedue to the need for modifications to libraries, operating systems, and various software stacksthe situation is quite different for GPUs. The era of processors adopting distance-based instruction sets might be closer than you think.

Efficiency 54

Efficiency Hardware Architecture Design 54

Smashing Magazine

JUNE 20, 2019

Without Google Fonts you would be limited to the handful of “ system fonts ” installed on your user’s device. System fonts or ‘Web Safe Fonts’ are the fonts most commonly pre-installed across operating systems. Browser Caching. Another built-in optimization of Google Fonts is browser caching.

Google 111

Google Performance Cache Website 111

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Smashing Magazine

MAY 25, 2021

It’s also trickier to handle cached fonts we already have, not to mention differences in various fallback styles. Now different operating systems may have slightly different font settings and getting these exactly right is basically an impossible task, but that’s not the aim. That would certainly help increase adoption.

Operating System 145

Operating System Google Website Cache 145

SQL Performance

MARCH 30, 2021

Running a parallel plan on a single thread can also happen when a cached parallel plan is reused by a session that is limited to DOP 1 by an environmental setting (e.g. See Myth: SQL Server Caches a Serial Plan with every Parallel Plan for details. Creating cached expression values ( runtime constants ). Query scan setup.

Cache 98

Cache Servers Processing Operating System 98

Percona

AUGUST 31, 2018

The PostgreSQL buffer is called shared_buffer which is the most effective tunable parameter for most operating systems. This parameter sets how much dedicated memory will be used by PostgreSQL for cache. It’s low because certain machines and operating systems do not support higher values. wal_buffers.

Tuning 79

Tuning Database Performance Benchmarking 79

Percona

NOVEMBER 7, 2023

This book has five major sections on MVCC and Isolation (108 pages), Buffer Cache and WAL (53 pages), Locks (42 pages), Query Execution (154 pages), and the types of indexes (127 pages). Now, this operation blocks all reads and writes during the operation.

Cache 114

Cache Servers Database Operating System 114

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Remember that these are calls to the operating system – kernel calls.

Latency 79

Latency Cache Programming Operating System 79

All Things Distributed

SEPTEMBER 21, 2012

It is a simple concept, originally introduced for handling cache consistency, but it is a technique you find back in many modern systems, for example those those that achieve consistency using lock servers. Leases: An Efficient Fault-Tolerant Mechanism for Distributed File Cache Consistency , Cary G. Gray and David R.

AWS 65

AWS Media Cache Operating System 65

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. Tail Of Log Caching.

Cache 40

Cache Servers Media Storage 40

Official Blog - World Web Technology

AUGUST 27, 2023

Various techniques, such as caching and optimization, improve the website’s performance and speed. Furthermore, opcode caching allows developers to speed up PHP code execution. Whether Linux, Windows, or macOS, PHP offers a seamless experience on all operating systems.

Development 98

Development Ecommerce Open Source Website 98

MachMetrics

DECEMBER 14, 2019

It is typically reduced via server-side optimizations, such as enabling caching and database indexes. TTFB measures the time that elapses between when a user requests a site, and when that user’s browser receives the first bit of information. In the analysis, the average TTFB speed was found to be 1.28 seconds on desktop and 2.59

Best Practices 105

Best Practices Speed Mobile Google 105

All Things Distributed

OCTOBER 2, 2017

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 110

Internet Internet AWS Performance 110

SQL Server According to Bob

MAY 19, 2019

The lock manager has partitions, lock block cache and other structures. Reduce the number of partitions and size of the cache. IO Request Caches. SQLPAL may cache I/O request structures with each thread. Remove the background task and aggressively reclaim database space during query execution. Lock Manager. Demand Paging.

IoT 61

IoT Servers Development Cache 61

ACM Sigarch

NOVEMBER 1, 2019

A fairly large batch of papers focused on the study of novel OS architectures for systems with accelerators. GAIA proposed to expand the OS page cache into accelerator memory. The OS page cache serves as a cache for file accesses and plays an important role in core OS services, such as memory-mapped files.

Architecture 12

Architecture Hardware Cache Storage 12

HammerDB

JUNE 27, 2022

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Why HammerDB was developed.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

HammerDB

APRIL 19, 2023

Let’s look at how the workloads behave when running on an identical system We ran both sysbench and HammerDB on a system with: Processors: Two Intel Xeon 8360Y processor sockets (36 Core/72 Threads per socket). Operating System: Ubuntu 22.04 TB)) for storage of database tablespaces and logging. Database: MySQL 8.0.31

Performance 55

Performance Benchmarking Cache Storage 55

The Morning Paper

DECEMBER 10, 2019

Drawing inspiration from work on single-address-space (SAS) operating systems a single system-wide mapping is maintained by the OS which all devices use for accessing memory. It’s the job of the operating system to manage the global and logical object space abstractions. A prototype implementation.

Hardware 52

Hardware Virtualization Operating System Programming 52

Scalegrid

FEBRUARY 8, 2024

Handling a storage system spread across multiple physical servers introduces complexities such as unpredictability in behavior, difficulties with testing procedures, and an overall increase in administrative complexity due to the dispersed nature of data.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc.

Hardware 56

Hardware Programming Media Storage 56

Percona

MAY 1, 2023

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. The PostgreSQL buffer is called shared_buffer, which is the most effective tunable parameter for most operating systems.

Tuning 52

Tuning Database Efficiency Performance 52

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Teams can measure the performance of all application dependencies, including databases, web services, caching, and more.

Strategy 72

Strategy Metrics Monitoring Servers 72

SQL Performance

DECEMBER 17, 2019

You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. GHz, 128MB of L3 cache, 128 PCIe 4.0 Another choice that is well-suited for both OLTP and DW workloads is the Esv4-series. These VMs use the newer 7nm 2.35GHz AMD EPYC 7452 (Rome) processor.

Azure 72

Azure Virtualization Servers Storage 72

Smashing Magazine

MARCH 7, 2022

In a similar vein, it’s also possible to offer a Save Data-like experience to all users (even in browsers and operating systems that don’t support it) with a front end-setting and then perhaps saving this value to a cookie and acting upon that (another trick Tim mentioned in his talk).

Website 120

Website Media Mobile Network 120

The Morning Paper

NOVEMBER 19, 2019

On the other hand we have good old-fashioned native apps that you install on your operating system (a dying breed? You can take incremental steps towards a local-first future by following these guidelines: Use aggressive caching to improve responsiveness. Google Docs, Trello, …). See e.g. Brendan Burns’ recent tweet ).

Cloud 83

Cloud Software Software Internet 83

The Morning Paper

APRIL 14, 2019

Microarchitectural state of interest includes data and instruction caches, TLBs, branch predictors, instruction- and data-prefetcher state machines, and DRAM row buffers. cache) can be partitioned across domains; for those that are instead time-multiplexed, we have to flush them during domain switches.

Hardware 44

Hardware Cache Latency Speed 44