Dynatrace

APRIL 26, 2022

RUM is passive monitoring that measures a user’s interactions with an application — typically with a JavaScript tag for web applications or a software development kit (SDK) for native mobile apps. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Real-user monitoring (RUM).

Monitoring 213

Monitoring Social Media IoT Metrics 213

The Morning Paper

APRIL 4, 2019

Ginseng: keeping secrets in registers when you distrust the operating system Yun & Zhong et al., Suppose you did go to the extreme length of establishing an unconditional root of trust for your system, even then, unless every subsequent piece of code you load is also fully trusted (e.g., NDSS’19.

Operating System 43

Operating System Systems Wireless Transportation 43

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. As the name suggests, it happens on-premise.

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

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. CHERI also rethinks the way that pointers and memory work, but the goal here is memory protection.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. But that’s also a problem that 5G vendors could solve; virtual LANs ( VLANs ) are hardly a new concept.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Dynatrace

NOVEMBER 3, 2022

In fact, according to a Gartner forecast , revenue for global container management software and services will reach $944 million in 2024 — up from $465.8 With the significant growth of container management software and services, enterprises need to find ways to simplify the process. million in 2020. Managed orchestration.

Serverless 224

Serverless Azure Hardware Transportation 224

Sutter's Mill

MARCH 11, 2024

To talk about C++’s current safety problems and solutions well, I need to include the context of the broad landscape of security and safety threats facing all software. Software security ” (or “cybersecurity” or similar) means making software able to protect its assets from a malicious attacker.

C++ 139

C++ Programming Code Java 139

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. The “forced flush” changes in SQL Server avoid flushes, when possible, in order to improve performance on non-optimized Fua file systems. Any storage device that can survive a power outage. Description.

Servers 90

Servers Media Cache Storage 90

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Traditional pointers address a memory location (often virtual of course). At least, the nature of pointers that we want to make persistent.

Hardware 56

Hardware Programming Media Storage 56

All Things Distributed

MARCH 11, 2016

Build evolvable systems. Almost from day one, we knew that the software we were building would not be the software that would be running a year later. We needed to build such an architecture that we could introduce new software components without taking the service down. Automation is key.

AWS 144

AWS Hardware Retail Virtualization 144

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

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

All Things Distributed

OCTOBER 2, 2017

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 128

Internet Internet AWS Performance 128

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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. ​​ SQL Server ​​ copy-on-write actions are used to maintain snapshot databases in SQL Server 2005.

Servers 40

Servers Cache Database Media 40

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

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40