Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Impressive results I have to say! You may ask: How is this possible?

Cache 193

Cache Architecture Database Government 193

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

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. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. 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. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

ACM Sigarch

FEBRUARY 23, 2018

I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. Both virtualization and power burst onto the architecture community seemingly out of nowhere even though there was a clear historical basis and trend for both. We believed existing hardware and OS protocols protected the processor.

Architecture 47

Architecture Cache Hardware Virtualization 47

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., It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching.

Architecture 52

Architecture Cache Azure Storage 52

Scalegrid

JANUARY 5, 2024

Data distribution encompasses the storage and arrangement of data across multiple computers or sites, thereby improving scalability by facilitating the management of larger data volumes and augmenting the processing resources available. By implementing data abstraction techniques, these challenges can be addressed more effectively.

Efficiency 147

Efficiency Storage Database Scalability 147

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

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. Vilas Sridharan is an AMD Senior Fellow and leads the RAS Architecture team. All rights reserved.

Energy 52

Energy Hardware Best Practices Architecture 52

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. Conclusion.

Azure 55

Azure Database Serverless Hardware 55

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

The Morning Paper

JUNE 25, 2019

Far memory brings many potential benefits over near memory: higher memory capacity through disaggregation, separate scaling between processing and far memory, better availability due to separate fault domains for far memory, and better shareability among processors. Clients cache the entire tree, but not the hash tables.

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 source code to the library may not be available.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

OCTOBER 4, 2020

Our analysis suggests that the wireline paths, upper-layer protocols, computing and radio hardward architecture need to co-evolve with 5G to form an ecosystem, in order to fully unleash its potential. This is a feature of the NSA architecture which requires dropping off of 5G onto 4G, doing a handover on 4G, and then upgrading to 5G again.

Energy 130

Energy Latency Performance Network 130

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. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

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. Layout Shift GIF Generator that visualizes CLS with a simple GIF (also available from the command line). Large preview ).

Performance 145

Performance Cache Media Metrics 145

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

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

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. The second important piece of functionality is a faceted navigation.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. There is an issue with this, which causes the OS to swap even with memory available. Spoiler alert: This post focuses on MongoDB 3.6.X 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

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. APM has two primary goals: ensuring application availability and optimizing application performance. What is real user monitoring (RUM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

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. Modern network performance and availability. Hardware Past As Performance Prologue. The Moto G4 , for example. Here begins our 2021 adventure. Hard Reset. Content Is Dead, Long Live Content.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 6, 2020

Usually, the most specific and relevant ones are: Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI. Getting started with Webpack can be tough though.

Performance 145

Performance Cache Network Metrics 145

John McCalpin

NOVEMBER 5, 2016

The art and science of microprocessor architecture is a never-ending struggling to balance complexity, verifiability, usability, expressiveness, compactness, ease of encoding/decoding, energy consumption, backwards compatibility, forwards compatibility, and other factors. I am sure someone will be happy to tell me if I am wrong!

Cache 40

Cache C++ Latency Hardware 40

Smashing Magazine

JANUARY 7, 2019

Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI. Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet.

Performance 103

Performance Cache Metrics Network 103

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

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

Alex Russell

OCTOBER 22, 2017

One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Any DOM or UI created in JS is not available for use until the script runs. What’s going on here? JS Is Your Most Expensive Asset. for router components). On a slow 3G network, emulated at: 400ms RTT.

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).

Latency 40

Latency Cache Testing Systems 40

SQL Performance

MARCH 8, 2021

This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. Total elapsed time is 933ms with 6,673ms of CPU time with a warm cache. We can do the correct offset calculation manually using the data available in the plan.

Servers 95

Servers Tuning Architecture Processing 95

Highly Scalable

AUGUST 20, 2013

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. Marz, “Big Data Lambda Architecture”. Jacobsen and R. Lyons, “The Sliding DFT“.

Big Data 154

Big Data Processing Lambda Database 154

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. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JANUARY 18, 2012

It is very gratifying to see all of our learning and experience become available to our customers in the form of an easy-to-use managed service. While a service-oriented architecture addressed the problems of a centralized database architecture, each service was still using traditional data management systems.

Scalability 167

Scalability Database Ecommerce Latency 167