Apica

MAY 10, 2019

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40

Testing Performance Social Media Wireless 40

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. optimised container networking and security. In fact, if we go by current trends containerised microservices running on Kubernetes are the future. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

SEPTEMBER 23, 2021

Unfortunately, container security is much more difficult to achieve than security for more traditional compute platforms, such as virtual machines or bare metal hosts. To function effectively, containers need to be able to communicate with each other and with network services. Network scanners. Why is container security tricky?

Open Source 249

Open Source Benchmarking Best Practices Network 249

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. Conclusion.

Azure 72

Azure Virtualization Servers Storage 72

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

Programming 67

Programming Benchmarking Virtualization C++ 67

HammerDB

DECEMBER 14, 2022

Our Linux test system is running a MariaDB 10.10 On a system with docker installed, use docker pull tpcorg/hammerdb to pull the latest image. hammerdb@REDPOLL:~$ sudo docker run --network=host -it --name hammerdb tpcorg/hammerdb bash root@REDPOLL:/home/hammerdb/HammerDB-4.6#. Benchmark set to TPC-C for MariaDB.

C++ 62

C++ Virtualization Database Benchmarking 62

Percona

AUGUST 22, 2023

We’ll wrap it up by suggesting high availability open source solutions, and we’ll introduce you to support options for ensuring continuous high performance from your systems. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster.

Availability 79

Availability Hardware Open Source Database 79

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Some disruption might occur, but it will be minimal. Fault tolerance aims for zero downtime and data loss.

Availability 107

Availability Database Open Source Hardware 107

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. All modern browsers are fast, Chromium and Safari/WebKit included. Gamepad API.

Media 145

Media Games Education Engineering 145

HammerDB

NOVEMBER 30, 2018

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. The agent directory contains the agent code to be run on the system under test to gather the CPU utilisation information.

Architecture 40

Architecture Virtualization Open Source C++ 40

Rigor

FEBRUARY 19, 2020

Can you test with 3G, 4G, or different networking connections? Is it a physical system or virtual? If virtualized, what is the technology used (VM, Docker, software package)? Competitive & Industry Benchmarking. Benchmarking your performance against your competitors and industries.

Monitoring 59

Monitoring Benchmarking Mobile Traffic 59

Alex Russell

MAY 9, 2022

Only teams that master their systems can make intentional trade-offs. Panglossian nonsense. --> Organisations that serve their tools tread water no matter how advanced their technology, while groups that intentionally manage systems can succeed on any stack. [1]. Performance isn't a binary and there are no silver bullets.

Performance 86

Performance Latency Metrics Engineering 86

ScaleOut Software

MAY 15, 2014

Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. This measures how well the IMDG’s servers use multithreading to maximize network bandwidth during load-balancing, and it also evaluates failure detection and recovery algorithms. Please retry later.

Cache 40

Cache Servers Network Design 40

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

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

Smashing Magazine

JANUARY 11, 2021

Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. Moto G4) on a slow 3G network, emulated at 400ms RTT and 400kbps transfer speed. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Media Metrics 145