All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. This is not just predictability of median performance and latency, but also at the end of the distribution (the 99.9th percentile), so we could provide acceptable performance for virtually every customer. s read latency, particularly as dataset sizes grow.

Scalability 162

Scalability Database Ecommerce Latency 162

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. General Purpose GPU programming.

AWS 125

AWS Programming Latency Architecture 125

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. You should also review your hardware resources, how you use MongoDB, and any custom configurations. In MongoDB 6.x:

Best Practices 111

Best Practices Hardware Tuning Scalability 111

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. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 135

Performance Monitoring Traffic Database 135

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. No matter which mechanism you choose to use, we make the stream data available to you instantly (latency in milliseconds) and how fast you want to apply the changes is up to you.

Database 157

Database Lambda AWS IoT 157

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it).

Cloud 96

Cloud AWS Automotive Latency 96

Dotcom-Montior

MAY 12, 2020

Network latency. Hardware resources. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored. Network latency can be affected due to. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Traffic 63

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. Data pipeline initiatives are generally unfinished projects.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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 127

Performance Network Metrics Mobile 127

Smashing Magazine

AUGUST 3, 2021

Different browsers running on different platforms and hardware, respecting our user preferences and browsing modes (Safari Reader/ assistive technologies), being served to geo-locations with varying latency and intermittency increase the likeness of something not working as intended. More after jump!

Network 145

Network Engineering Availability Monitoring 145

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. Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware.

Big Data 154

Big Data Processing Lambda Database 154

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. An organization’s response to an incident, whether we are talking about downtime, security breaches or cyber-attacks, or even prolonged latency and repeated errors, is critical to the continued success of the business and trust from the customer or end user.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dotcom-Montior

OCTOBER 6, 2021

trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. that are required to keep the software deployments live are running efficiently.

Engineering 67

Engineering DevOps Monitoring Google 67

VoltDB

JUNE 26, 2024

Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime. Using predictive analytics, manufacturers can anticipate potential quality issues before they occur, allowing for proactive adjustments.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

O'Reilly Software

APRIL 4, 2018

A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters. Build on the shoulders of giants.

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. Predictably, they are over-represented in analytics and logs owing to wealth-related factors including superior network access and performance hysteresis."

Performance 98

Performance Network Mobile Speed 98

VoltDB

APRIL 25, 2024

While Wi-Fi theoretically can achieve 5G-like speeds, it falls short in providing the consistent performance and reliability that 5G offers, including low latency, higher speeds, and increased bandwidth. Additionally, frequent handoffs between access points can lead to delays and connection drops.

Network 52

Network IoT Wireless Infrastructure 52

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. Finally it is also important to note that this comparison is focused around OLTP based workloads, HammerDB also supports a TPC-H based workload for analytics with complex ad-hoc queries.

Best Practices 40

Best Practices Scalability Performance C++ 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. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Alex Russell

JULY 14, 2021

Hardware access APIs, notably: Geolocation. Standard tools, analytics packages, and feature availability dashboards do not make mention of IABs, and the largest WebView IAB promulgators (Facebook, Pinterest, Snap, etc.) iOS's security track record, patch velocity, and update latency for its required-use engine is not best-in-class.

Google 134

Google Mobile Engineering Internet 134

Smashing Magazine

MAY 20, 2020

This metric is important, but quite vague because it can include anything — starting from server rendering time and ending up with latency problems. Lighthouse is the de facto standard in project analytics. All of this means that it will be more costly because of the growing hardware requirement and a little bit faster.

Performance 112

Performance Metrics Best Practices Code 112

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 112

Performance Cache Servers Network 112

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. You can then mimic the 90th percentile’s experience for testing.

Performance 111

Performance Cache Metrics Network 111

Adrian Cockcroft

NOVEMBER 18, 2024

Learn how the ScepterAir data fusion platform uses advanced AWS Cloud services to analyze and extract insights from ground-based, airborne, and in-orbit data sources with low latency. It’s possible to get energy data in real time from NVIDIA GPUs (because NVIDIA provides it) but not from AWS hardware.

AWS 98

AWS Energy Lambda Government 98

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Metrics Media 145