Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost.

Cloud 169

Cloud Traffic Best Practices Strategy 169

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM.

Scalability 59

Scalability Latency Cache Media 59

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Operating system Linux is the most common operating system for high-performance MySQL servers. have been released since then with some major changes.

Performance 123

Performance Hardware Tuning Storage 123

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. How do you make a system observable? Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Morning Paper

NOVEMBER 15, 2020

This stems from a combination of Jevon’s paradox and the interconnectedness of systems – doing more in one area often leads to a need for more elsewhere too. At the end of the day, there are three basic ways we can increase capacity: Increasing the number of units in a system (subject to Amdahl’s law ). IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. This can significantly elevate user satisfaction and engagement.

Tuning 52

Tuning Database Performance Hardware 52

Dotcom-Montior

MAY 12, 2020

They now allow users to interact more with the company in the form of online forms, shopping carts, Content Management Systems (CMS), online courses, etc. Network latency. Hardware resources. Network Latency. Network latency can be affected due to. Hardware Resources. The list goes on and on. Wi-Fi usage.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

HammerDB

OCTOBER 8, 2018

This post gives a HOWTO guide on system configuration for achieving top levels of performance with the HammerDB PostgreSQL TPC-C test. Firstly for system choice a 2 socket system is optimal for PostgreSQL OLTP performance at the time of writing. CPUs which run at the same hardware frequency: 0. CPU Configuration.

Best Practices 40

Best Practices Scalability Performance Hardware 40

HammerDB

OCTOBER 18, 2019

So lets take an Ubuntu system with Platinum 8280 CPUs with the following Ubuntu OS, reboot and check the CPU configuration before running any tests. So by default, the system boots into powersave. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 uname -a Linux ubuntu19 5.3.0-rc3-custom 3834 2696 .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. As such, it encompasses distributed system coordination, failover, resource management and many other capabilities. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. System Coordination.

Database 213

Database Latency C++ Scalability 213

High Scalability

SEPTEMBER 14, 2018

editingemily : "In peacetime, a ticketing system is great. Because of that big servers and other memory systems need to have another kind of memory in the hierarchy. SCM slots between DRAM and flash in terms of latency, cost, and density. noahsussman : Complex systems are intrinsically hazardous systems.

Internet 30

Internet Internet Scalability Education 30

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Scalability. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dotcom-Montior

OCTOBER 6, 2021

To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. In a traditional IT environment, organizations may have had a team of system administrators managing complex systems. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. As mentioned before, most of data pipelines are not stateless which means scalability is not given a thing.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. All Things Distributed. Expanding the Cloud - The AWS Storage Gateway. By Werner Vogels on 23 January 2012 12:01 AM.

Storage 116

Storage AWS Virtualization Cloud 116

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture.

Cloud 119

Cloud AWS Automotive Latency 119

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

O'Reilly Software

APRIL 4, 2018

Are there inherent time relationships in the messages that need to be preserved as they travel across the system? The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. These requirements impose strong scalability and resilience implications. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

DECEMBER 27, 2017

Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. Using default scheduler's node affinity feature you can ensure that certain pods only schedule on nodes with specialized hardware like GPU, memory-optimised, I/O optimised etc. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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. I.e. if system A generated 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Testsigma

JANUARY 30, 2021

As mobile phones are readily available, users try to open that particular application on a mobile web browser, instead of signing into their systems and hitting the URL. Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities.

Mobile 52

Mobile Testing Website Internet 52

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40

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

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. 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.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

APRIL 4, 2017

After the launch of the AWS EU (Stockholm) Region, there will be 13 Availability Zones in Europe for customers to build flexible, scalable, secure, and highly available applications. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 117

AWS Airlines Latency Games 117

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 Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. Build evolvable systems. Systems need to keep running even if the “house is on fire.”

AWS 147

AWS Hardware Retail Virtualization 147

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). In exchange, your team gains maintainability and developer efficiency, of course.

Performance 103

Performance Cache Metrics Network 103

Smashing Magazine

JANUARY 11, 2021

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 Media Metrics 145