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 86

Hardware C++ Storage Cache 86

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. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ACM Sigarch

OCTOBER 12, 2020

These, let’s call them metal languages , include FORTRAN (introduced in 1957), C (1972), and C++ (1985). Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. Are caches large enough for this code? As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

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

SQL Server According to Bob

DECEMBER 18, 2018

For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Linux open command flag used to bypass file system cache.

Servers 90

Servers Media Cache Storage 90

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. What about security?

Hardware 56

Hardware Programming Media Storage 56

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. This model works well for storing large, object-oriented collections of business-logic state, such as the examples listed above. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. This model works well for storing large, object-oriented collections of business-logic state, such as the examples listed above. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough. failure rate. Play along at home.

Programming 79

Programming Hardware Cache Code 79

Smashing Magazine

AUGUST 22, 2021

This is a bit more difficult to explain, because it depends on the physical properties of the medium (for example, the used frequency of radio waves), the number of users on the network, and also the devices that interconnect different subnetworks (because they typically can only process a certain number of packets per second). Did You Know?

Performance 107

Performance Network Latency Servers 107

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

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. Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. The second and third run used the cached data.

Cache 46

Cache C++ AWS Airlines 46

The Morning Paper

APRIL 2, 2019

In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. TPMs, SGX, …), and no polynomial bounds on an adversaries computing power (so for example they still work even in a post-quantum world). Putting it all together. Implementation.

Software 40

Software Software Programming Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

As ​​ a ​​ simple ​​ example, ​​ take the following ​​ 2-byte string value of “AB” and apply a formula to it (Value = Position + ASCII value). ​​ Checksum ​​ is ​​ the sum of the values.

Servers 40

Servers Cache Database Media 40

John McCalpin

NOVEMBER 5, 2016

So consider the dense matrix multiplication operation C += A*B, where A, B, and C are dense square matrices of order N, and the matrix multiplication operation is equivalent to the pseudo-code: for (i=0; i<N; i++) { for (j=0; j<N; j++) { for (k=0; k<N; k++) { C[i][j] += A[i][k] * B[k][j]; } } }.

Cache 40

Cache C++ Latency Hardware 40

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. The authors introduce the notion of multiple versions of a table accessed via array-style indices, using Pascal’s triangle as an example.

Network 44

Network Database Programming Hardware 44

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. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. What does it mean? Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

One way or another, rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later).

Performance 104

Performance Cache Metrics Network 104

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52