Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test.

Cache 109

Cache Hardware Servers Benchmarking 109

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. So while you probably won’t be using Zippads in practice anytime soon, it’s a wonderful example of what’s possible when you’re prepared to take a fresh look at “the way we’ve always done things.” Implications.

Cache 61

Cache Benchmarking Hardware Java 61

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). These partial stacks get grouped together on the left. Click here for a longer explanation. You usually get an extra junk frame.

Java 137

Java Cache Google Hardware 137

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

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. Let’s walk through an example: Database: MySQL. This becomes really important for cache solutions like Redis™. Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

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 130

Performance Hardware Tuning Storage 130

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. For example, you can program home sensors to write the state of temperature, water, gas, and electricity directly to DynamoDB.

Database 159

Database Lambda AWS IoT 159

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

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 94

Hardware C++ Storage Cache 94

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

ACM Sigarch

OCTOBER 12, 2020

Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. For example, we should care less if a proposed mobile chip or compiler optimization slows down SPEC, and care more if it speeds up Python or JavaScript! Are caches large enough for this code?

C++ 108

C++ Benchmarking Hardware Architecture 108

Randon ASCII

SEPTEMBER 30, 2022

That said, this post describes one example of why modern software can be painfully slow. 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?

Software 100

Software Software Cache Hardware 100

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

Highly Scalable

APRIL 2, 2012

I cannot disclose customer’s name, so I will explain business logic using amazon.com as an example, fortunately the basic functionality is very similar. For example, if the user opens a category that contains clothes, products will be characterized by properties like size, brand, color and so on.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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

n0derunner

DECEMBER 18, 2018

In our experiment we deliberately size the active working-set to NOT fit into the metadata cache. On the same hardware with AES enabled – the time is cut in half. Additionally AES reduces the need to cache metadata in DRAM since local access is so fast. For large datasets (e.g.

Performance 40

Performance Cache Hardware Storage 40

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. This approach is used for example in Cassandra. This behavior can be semantically inappropriate (for example, if both clients add a value to a list). In this example R=2, W=2, N=3. Data Placement.

Database 213

Database Latency C++ Scalability 213

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. 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.

Performance 109

Performance Monitoring Traffic Database 109

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 93

Traffic Cache Monitoring Database 93

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 114

Availability Database Open Source Hardware 114

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

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 Availability 40

The Morning Paper

OCTOBER 4, 2020

There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. Emerging architectures that shorten the path length, e.g. edge caching and computing, may also confine the latency. The first 5G networks are now deployed and operational. Application performance.

Energy 130

Energy Latency Performance Network 130

Scalegrid

JANUARY 5, 2024

Here are some examples: In the e-commerce sector, websites such as Amazon and Flipkart employ DBMS to oversee extensive customer databases, monitor sales orders, track returns, and manage faulty products. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Alex Russell

APRIL 29, 2021

An extension to Service Workers that enables browsers to present users with cached content when offline. A tool for reliably sending data — for example, chat and email messages — in the face of intermittent network connections. is access to hardware devices. Content Indexing. PWA App Shortcuts. Background Sync. Shape Detection.

Media 145

Media Games Education Engineering 145

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap.

Technology 141

Technology Technology Development Strategy 141

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. The Moto G4 , for example. Hardware Past As Performance Prologue. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel. Mind The Gap.

Performance 127

Performance Network Metrics Cache 127

The Morning Paper

NOVEMBER 5, 2019

It’s also a fabulous example of recognising and challenging implicit assumptions. 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. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. BTW, the "i" in the Standard_E64is_v3 naming means that the instance is isolated to hardware dedicated to a single customer.

Azure 72

Azure Virtualization Servers Storage 72

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 63

Benchmarking Open Source C++ Cache 63

Highly Scalable

AUGUST 20, 2013

Consider an example where relation R is joined with relation S on a numerical key k and a simple modulo-based hash function is used to produce the partitions (it is assumes that the data initially distributed among the processors based on some other policy): The divide and broadcast join algorithm is illustrated in the figure below.

Big Data 154

Big Data Processing Lambda Database 154

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? The Lighthouse team have created a useful Google Spreadsheet calculator explaining this process: Using the example above, if we change (time to) interactive from 5 seconds to 17 seconds (the global average mobile TTI ), our score drops to 56% (aka 56 out of 100). After that, it’ll be mitigated by cache.

Google 72

Google Engineering Speed Mobile 72

The Morning Paper

FEBRUARY 20, 2020

statement adds the source code for the model pipeline (Python in the example) to the database. It can’t handle loops for example (an analysis of 4.6M For example, removing a branch from a decision tree that we know can never be taken. End-to-end the picture looks like this: ( Enlarge ). An INSERT INTO model. The last word.

Processing 72

Processing Hardware Database Azure 72

Speed Curve

DECEMBER 16, 2024

For example, in SpeedCurve, prerendered pages will have a value of '0' for most metrics. Page was restored from back-forward cache – The bfcache essentially stores the full page in memory when navigating away from the page. For example, here's how to use these filters to diagnose rendering issues with the bfcache.

Cache 52

Cache Google Metrics Hardware 52

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