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. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

CSS - Tricks

JULY 25, 2019

To understand how these changes affect us from a performance perspective, we need to grasp the underlying technology. If you’re interested in a high-level overview of Lighthouse architecture, read this guide from the official repository. Estimated Input Latency. Estimated Input Latency. PageSpeed 5.0 Speed Index.

Google 71

Google Engineering Speed Mobile 71

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. When instances are placed in a cluster they have access to low latency, non-blocking 10 Gbps networking when communicating the other instances in the cluster.

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database.

Storage 130

Storage Systems Big Data Azure 130

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. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 244

Serverless Efficiency Lambda Azure 244

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. In addition, we survey the current and emerging technologies and provide a few implementation tips. It is conceptually similar to the in-stream processing pipelines.

Big Data 154

Big Data Processing Lambda Database 154

John McCalpin

OCTOBER 16, 2016

I will be talking about the technology and market trends that have driven changes in deployed HPC systems, with a particular emphasis on the increasing relative performance cost of memory accesses (vs arithmetic).

Architecture 40

Architecture Systems Technology Technology 40

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Today, there are a variety of architectures and systems in use. Over time, that has evolved into something different. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. There is a lot of awesome technology involved with Hyperscale in how it is architected to use SSD-based caches and page servers. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Serverless Database.

Azure 55

Azure Database Serverless Hardware 55

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. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JANUARY 18, 2012

s Dynamo technology , which was one of the first non-relational databases developed at Amazon. Amazon DynamoDB offers low, predictable latencies at any scale. 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

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

MARCH 6, 2021

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. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

Alex Russell

OCTOBER 22, 2017

Most partners we work with are not aware of the real-world operating environment and make inappropriate technology choices as a result. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. What’s going on here? JS Is Your Most Expensive Asset.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JULY 14, 2021

Understanding how mobile OSes undermine browser choice requires a nuanced understanding of OS and browser technology. The power dynamics of these situations are starkly different, even though "web technology" is used to render content in each case. Hardware access APIs, notably: Geolocation. How bad is the situation?

Google 121

Google Mobile Engineering Internet 121

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. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. 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). Bonus: there is also a Webpack config configurator that generates a basic configuration file.

Performance 104

Performance Cache Metrics Network 104