Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is a message queue?

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoints can be physical (i.e.,

Monitoring 192

Monitoring Social Media IoT Metrics 192

Testsigma

JULY 3, 2021

They’re free to plan their upgrades or operational maintenance without involving any third-party businesses. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital. Lollipop and 6.0

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

DECEMBER 18, 2012

Bar-Yam, Journal of Systems Science and Complexity. May 28 - Virtual Time and Global States of Distributed Systems , Friedemann Mattern, Parallel and Distributed Algorithms, North-Holland (1989) , p. Jul - 13 Hints for Computer Systems Design Proceedings of the Ninth ACM Symposium on Operating Systems Principles, pp.

Operating System 144

Operating System Cache AWS Scalability 144

HammerDB

JUNE 27, 2022

HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Adrian Cockcroft

APRIL 5, 2023

Energy data at the entire machine or raw cloud instance level needs to be apportioned to virtual machines or cloud instances which run an operating system, and to pods, containers and processes running applications and background activities that consume CPU, memory and I/O resources.

Energy 52

Energy Metrics Cloud Operating System 52

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

Brendan Gregg

DECEMBER 31, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. Virtual Memory. File System. Storage I/O. Fortunately, it was videoed for those who missed it. schedtool –B PID.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. Virtual Memory. File System. Storage I/O. Fortunately, it was videoed for those who missed it. schedtool –B PID.

Tuning 52

Tuning AWS Best Practices Network 52

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 237

Cloud Media Storage Cache 237

SQL Server According to Bob

JANUARY 11, 2020

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. Remove the ​​ power cord ​​ that supplies ​​ power to storage devices.

Servers 40

Servers Cache Database Media 40

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA. Final words.

Architecture 12

Architecture Hardware Cache Storage 12

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Sutter's Mill

MARCH 11, 2024

tl;dr: I don’t want C++ to limit what I can express efficiently. The main improvement MSLs give is that a program data race will not corrupt the language’s own virtual machine (whereas in C++ a data race is currently all-bets-are-off undefined behavior). Efficiency. Then I can still use fully modern C++… just nicer. Portability.

C++ 143

C++ Programming Code Java 143

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. These are areas in which we have invested heavily to take advantage of 10 Gbps (and faster) networks and to handle intermittent network delays inherent in virtual server infrastructures.

Cache 40

Cache Servers Network Design 40

All Things Distributed

MARCH 11, 2016

Failures are a given and everything will eventually fail over time: from routers to hard disks, from operating systems to memory units corrupting TCP packets, from transient errors to permanent failures. If customers have many tiny files, then storage and bandwidth don’t amount to much even if they are making millions of requests.

AWS 144

AWS Hardware Retail Virtualization 144