Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. register files? arithmetic units?)

Cache 126

Cache Latency Benchmarking Hardware 126

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). Results for Percona Server for MySQL 8.0

Cache 98

Cache Hardware Servers Benchmarking 98

DZone

MAY 19, 2019

Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors.

Cache 136

Cache Hardware Architecture Cloud 136

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. wt and index-*.wt).

Hardware 85

Hardware C++ Storage Cache 85

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

The Netflix TechBlog

NOVEMBER 15, 2022

Rendering is the final step in the VFX creation process, and processing on a render farm often can take several hours to complete just a single frame of a show, even when this process runs on the latest high-end hardware. Rendering on AWS provides the flexibility to control how quickly a project is completed.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. I hope this helps!

Performance 123

Performance Hardware Tuning Storage 123

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. Instead, we created a service to take the most popular configurations and cache them. As an engineer, I can work anywhere with a standard laptop as long as I have an IDE and access to Stack Overflow.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. Missing retry and failover implementations.

Cache 201

Cache Database Architecture Government 201

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. About CXL hardware availability with academia. Also, besides the hardware, we see the software ecosystem starts to appear (e.g., Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Programming 40

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 87

Traffic Cache Monitoring Database 87

Percona

JANUARY 3, 2024

sec) Conclusion These methods provide solutions for ProxySQL backups and restores, which play a pivotal role in safeguarding the integrity of your data and providing defense against various disasters, hardware malfunctions, data loss, and corruption. Reach out to us today to schedule your instructor-led class!

Traffic 106

Traffic Hardware Cache Servers 106

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Serverless architecture offers several benefits for enterprises. Simplicity. The first benefit is simplicity. Data Store.

Serverless 286

Serverless AWS Lambda Storage 286

Randon ASCII

SEPTEMBER 30, 2022

In my case the directory structure of my documents directory was entirely cached in memory so there was zero disk activity required to do the scan, but some users are not so lucky. Is there some RuntimeBroker caching? Is that a WinRT flaw, or a Voice Recorder flaw? What happens with users who don’t have an SSD and 32 GB of RAM?

Software 130

Software Software Cache Hardware 130

Testsigma

JUNE 3, 2021

Hardware error. We focus on software so much that we forget about the hardware failures. If the hardware gets disconnected or stops working then we cannot expect correct output from the software. Example: Printers and other hardware devices return bits of information that something is not right. Hardware issues.

Software 82

Software Software Testing Hardware 82

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

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

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 102

Performance Monitoring Traffic Database 102

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

The Morning Paper

JUNE 25, 2019

This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware. A far memory data structure has: far data in far memory, containing the core content of the data structure data caches at clients algorithms for operations. Refreshable vectors.

Design 80

Design Cache Hardware Scalability 80

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. cache) can be partitioned across domains; for those that are instead time-multiplexed, we have to flush them during domain switches. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

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

Scalegrid

JANUARY 5, 2024

These can be mitigated through the implementation of: efficient query optimization caching of database queries utilization of database indexes implementation of session storage employing database read replication and sharding. By implementing data abstraction techniques, these challenges can be addressed more effectively.

Efficiency 147

Efficiency Storage Database Scalability 147

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

CSS Wizardry

AUGUST 7, 2019

only to find that the resource they’re requesting isn’t in that PoP ’s cache. Routing: If you are using a CDN—and you should be!—a a customer in Leeds might get routed to the MAN datacentre. Accordingly, they’ll get routed all the way back to your origin server to retrieve it from there.

Latency 269

Latency Ecommerce Servers Mobile 269

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 104

Availability Database Open Source Hardware 104

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

HammerDB

APRIL 19, 2023

By default, HammerDB is designed to take advantage of database system caching mechanisms such as buffer caches, query caches, or statement caches. This means, HammerDB prioritizes caching the data as much as possible and pushing the CPU utilization. and 8.0.32 HammerDB 4.5 Concurrency at 80 VU’s 1.00

Performance 54

Performance Benchmarking Cache Storage 54

ACM Sigarch

OCTOBER 12, 2020

Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al., We as a community should lead the way in developing systems (at the hardware and software levels) that will make them run faster. Is there room for accelerators? MICRO 15 , Gope et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. But let’s take a quick look at the changing hardware landscape before we go on… The changing hardware landscape.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

MAY 2, 2023

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller. Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. How large my InnoDB buffer pool needs to be?

Social Media 119

Social Media Database Servers Cache 119