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.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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 102

Cache Hardware Servers Benchmarking 102

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. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

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 108

Availability Database Open Source Hardware 108

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 89

Traffic Cache Monitoring Database 89

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

JANUARY 5, 2024

It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data. 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.

Efficiency 147

Efficiency Storage Database Scalability 147

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 105

Performance Monitoring Traffic Database 105

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. For example, high energy particles tend to produce transient faults, whereas defects can cause intermittent or permanent faults. An example protection technique that can provide this capability is an Error Correcting Code (ECC).

Energy 52

Energy Hardware Best Practices Architecture 52

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

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 2, 2019

Establishing software root of trust unconditionally Gligor & Woo, NDSS’19. In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. Disabling caches, virtual memory, and the TLB (this can be done verifiably as shown in theorem 6 in section IV.E).

Software 40

Software Software Programming Hardware 40

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

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 For example, if we want to evaluate moving our OLTP applications from MySQL 8.0.27

Performance 54

Performance Benchmarking Cache Storage 54

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events.

Latency 68

Latency C++ Cache Programming 68

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

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

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

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

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

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

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. Web Serial.

Media 145

Media Games Education Engineering 145

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

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

ACM Sigarch

FEBRUARY 23, 2018

In his book “ Misbehaving: The Making of Behavioral Economics ”, he cites example after example of how human behavior does not follow economic expectations based on rational behavior, resulting in flawed economic models . We believed existing hardware and OS protocols protected the processor. Present Bias.

Architecture 47

Architecture Cache Hardware Virtualization 47

The Morning Paper

MAY 14, 2019

When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. The background ratio won’t kick in until 12.8GB. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

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 103

Performance Cache Metrics Network 103

Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. These updates will disable access of Google apps downloader, for example. IP Blocking. All information typed by users are collected for future analysis.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

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

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. For example, by default SQL Server 2016 provides automatic, soft NUMA configuration.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

Smashing Magazine

JUNE 18, 2020

Example 1: Storage. Developing packages and plugins is rather complex, but it’s explained in many places on the Web and elsewhere (for example in Flutter books), including the official Flutter documentation. Example 2: Differences In How The Same Widget Is Displayed. In React Native.

Storage 93

Storage Mobile Website Java 93

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

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

KeyCDN

JULY 11, 2019

This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. For example, while the average mobile download speed on 4G in Switzerland is fast at 35.2 For example, the query string ?width=600&quality=70

Speed 52

Speed Website Mobile Latency 52