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. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 104

Availability Database Open Source Hardware 104

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

The Morning Paper

MARCH 8, 2020

When I think about cloud-native architectures, I think about disaggregation (enabling each resource type to scale independently), fine-grained units of resource allocation (enabling rapid response to changing workload demands, i.e. elasticity), and isolation (keeping tenants apart). From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware. Background A fault is a condition that causes the inability to meet a specification.

Energy 52

Energy Hardware Best Practices Architecture 52

The Morning Paper

APRIL 14, 2019

Just as today’s systems offer memory protection, they call this time protection. 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. set out a principled basis for protecting against this class of attacks.

Hardware 44

Hardware Cache Latency Speed 44

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

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

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

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

Sutter's Mill

FEBRUARY 13, 2017

.” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 51

Latency C++ Hardware Performance 51

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia.

Architecture 12

Architecture Hardware Cache Storage 12

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. System Properties and Major Technical Requirements.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

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. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 124

Performance Network Cache Metrics 124

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? If you’re interested in a high-level overview of Lighthouse architecture, read this guide from the official repository. Service workers that will cache the bytecode result of a parsed and compiled script. After that, it’ll be mitigated by cache. What changed in PageSpeed 5.0?

Google 71

Google Engineering Speed Mobile 71

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. This improves page load time and caching during navigations. From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19).

Performance 145

Performance Cache Media Metrics 145

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

Smashing Magazine

JANUARY 6, 2020

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). Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default.

Performance 145

Performance Cache Network Metrics 145

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Smashing Magazine

JANUARY 7, 2019

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). Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Use progressive enhancement as a default. Baseline performance cost matters.

Performance 103

Performance Cache Metrics Network 103

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Some systems show median RTTs near ~100ms for 3G users. Performance budgets are set early in the life of the project.

Performance 68

Performance Benchmarking Network Mobile 68

John McCalpin

DECEMBER 6, 2016

The modes that are important are: “Flat” vs “Cache” In “Flat” mode, MCDRAM memory is used as directly accessible memory, occupying the upper 16 GiB of physical address space. In “Cache” mode, MCDRAM memory is used as an L3 cache for the main DDR4 memory. numactl). GHz nominal).

Latency 40

Latency Cache Testing Systems 40

The Morning Paper

SEPTEMBER 12, 2019

We consider how to make a very small set of changes to a modern relational database management system (RDBMS) to make it suitable for distributed learning computation… We also show that there are key advantages to using an RDBMS as a machine learning platform. VLDB’19. Why would anyone want to do that??? i-1] (val) AS SELECT pt1.val

Network 44

Network Database Programming Hardware 44

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. Additionally, Conductor supports render management systems?—?including

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.

Big Data 154

Big Data Processing Lambda Database 154

John McCalpin

OCTOBER 16, 2016

“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm). McCalpin Presents “Memory Bandwidth and System Balance in HPC Systems”.

Architecture 40

Architecture Systems Technology Technology 40

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. What gaps in systems and capabilities need to be filled to succeed?

Technology 139

Technology Technology Development Strategy 139

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Amazon Redshift) and Elasticsearch machines. Amazon Redshift) and Elasticsearch machines.

Database 167

Database Lambda AWS IoT 167

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system. All Things Distributed. Amazon DynamoDB â?? By Werner Vogels on 18 January 2012 07:00 AM.

Scalability 167

Scalability Database Ecommerce Latency 167

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Edge caching. Nginx for disk based caching. You can reach him at @kpatelwork. Introduction. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52