Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. I remember really liking the technical side of these tests. But I must confess I was not too fond of having to report the results to stakeholders or deal with political/personal issues related to (poor) test results.

Open Source 223

Open Source Performance Testing Testing Performance 223

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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Testsigma

JUNE 3, 2021

These are the errors that also need attention during the testing phase. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. A few of the errors which can be faced due to a poorly designed UI are: i. Hardware error. Testing errors.

Software 82

Software Software Testing Hardware 82

Testsigma

APRIL 4, 2022

A common theme among most software testing organizations is their escalating interest in Test Automation. While test automation has grown in popularity, there are still many myths and biases surrounding it. Such myths can unknowingly create a self-limiting boundary and negatively impact the possibilities of test automation.

Testing 95

Testing Open Source IoT Programming 95

Smashing Magazine

NOVEMBER 16, 2021

Meet Touch Design For Mobile Interfaces, A New Smashing Book By Steven Hoober. Meet Touch Design For Mobile Interfaces, A New Smashing Book By Steven Hoober. Touch Design for Mobile Interfaces presents and shares real information on hardware, people, interactions, and environments. Cover design by Espen Brunborg.

Mobile 87

Mobile Design Best Practices Website 87

Percona

JUNE 26, 2023

We need to identify whether it was deleted manually by mistake or was due to hardware failure. In case of hardware failure, first, we need to fix the hardware issue or migrate our database to new hardware and then perform a restore, as mentioned below. Download Percona Distribution for PostgreSQL Today!

Hardware 75

Hardware C++ Database Open Source 75

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Increased testing complexity. These include the following: Reduced control.

Development 259

Development Serverless Best Practices Lambda 259

Dynatrace

OCTOBER 28, 2021

Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

Engineering 234

Engineering Entertainment Cloud Infrastructure 234

The Morning Paper

NOVEMBER 15, 2020

With more nodes and more coordination comes more complexity, both in design and operation. So we need low latency, but we also need very high throughput: A recurring theme in IDS/IPS literature is the gap between the workloads they need to handle and the capabilities of existing hardware/software implementations. Back of the envelope.

Servers 128

Servers Hardware Latency Design 128

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. In addition to the disaster recovery site, this design includes an external layer of nodes.

Availability 108

Availability Database Open Source Hardware 108

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 79

Availability Hardware Open Source Database 79

Testlodge

JUNE 16, 2021

One such specialized technique is penetration testing, which aims to detect any loophole in the system through which an attacker can gain access and steal critical data, which ultimately causes businesses to suffer monetary losses and lose customers to competitors. An Introduction to Penetration Testing.

Testing 67

Testing Hardware Open Source Internet 67

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. Therefore, multiple A/B tests were created to compare AV1 with each of the applicable codec formats.

Media 246

Media Open Source Efficiency Software Engineering 246

Percona

APRIL 17, 2023

This parameter needs to be extensively tested! Percona Backup for MongoDB is a custom-built backup utility designed to cater to the needs of users who don’t want to pay for proprietary software but require a fully supported community backup tool capable of performing cluster-wide consistent backups in MongoDB.

Best Practices 52

Best Practices Design Tuning Database 52

Percona

NOVEMBER 2, 2023

The bad On the other hand, Kubernetes is not designed to handle large databases or mainframes. At Percona, our team has successfully utilized Jenkins alongside Kubernetes, ensuring smooth automated testing of our Operators and other products. Kubernetes performance is heavily influenced by the underlying hardware.

Open Source 86

Open Source Hardware Storage Database 86

ACM Sigarch

JULY 17, 2023

One such challenge has been the emergence of marginal defect-driven faults that are difficult to address solely using best practices in manufacturing test and screening. We then discuss defects observed, the role of test and design to address this problem, and identify research opportunities. Each fault has a root cause.

Energy 52

Energy Hardware Best Practices Architecture 52

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. remove the dependency on the monolith after all testing is successful. create a microservice; 2.

Architecture 241

Architecture Artificial Intelligence Cloud Open Source 241

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 88

Database Hardware Open Source Strategy 88

Testsigma

MAY 3, 2021

Web developers are moving their focus from desktop-first to mobile-first web design which further solidifies our understanding of how important this pocket device has become. What could be the best choice to cut down the costs and gain speed to move the pipeline faster than test automation? Variety of Device Settings.

Mobile 77

Mobile Testing Operating System Hardware 77

Testsigma

JULY 25, 2020

Continuous Testing is the testing strategy to fast-track the testing required for achieving rapid software development using Agile and DevOps methodologies. What is Continuous Testing? Continuous Testing is the process of testing at all stages of software development – one after the other – without any human intervention.

Testing 55

Testing DevOps Performance Testing Infrastructure 55

Testsigma

FEBRUARY 5, 2021

If you’re a developer, a web designer, or a QA manager, you would want to ensure that your product delivers as promised. Facebook’s mobile device testing lab at the Prineville Data Centre is equipped with Android and iOS devices that test Facebook applications and Instagram. The Need For Mobile Testing Lab.

Mobile 52

Mobile Testing Hardware DevOps 52

Testsigma

FEBRUARY 6, 2020

According to IEEE Std 829-1998, Software Testing is defined as “the process of analyzing a software item to detect the differences between existing and required conditions (i.e. ” With the advent of new technologies and new software being released every day, software testing is gaining more strength and accolades.

Software 69

Software Software Testing Scalability 69

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., Percona Operator for MongoDB Design Overview

Architecture 96

Architecture Availability Open Source Healthcare 96

Smashing Magazine

OCTOBER 27, 2021

The eye-tracking methodology can be extremely valuable for usability tests since it records the journey without interfering with the users’ natural behavior. Imagine, for example, that you test a prototype but discover that users are not interacting with the interface how they are supposed to. Mariana Macedo. 2021-10-27T10:00:00+00:00.

Mobile 112

Mobile Website Hardware Social Media 112

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. 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. On-premise testing comes with a lot of responsibility.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

OCTOBER 18, 2023

Compatibility Open source databases are designed with interoperability at their core, adhering to industry standards and offering support for a wide range of data import and export formats. This approach can minimize complexities but requires complete confidence in your preparations, tests, and abilities. And finally… budgets.

Open Source 92

Open Source Database Hardware Strategy 92

Testlodge

MARCH 28, 2018

This is where recovery testing comes in. What is Recovery Testing? Recovery testing is when you force the failure of your software in order to verify that recovering from the failure is both possible and properly performed. The Importance of Recovery Testing. How is recovery testing conducted? Conclusion.

Testing 50

Testing Airlines Hardware Software 50

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. So, what happens when there’s an unexpected crash or hardware failure?

Hardware 88

Hardware C++ Storage Cache 88

Testsigma

DECEMBER 28, 2019

During the entire SDLC phase, there are various kinds of testing performed at different stages. Each stage of testing has different objectives to fulfil. The testing phase starts with unit testing followed by integration testing, system testing, system integration testing, acceptance testing, and regression testing.

Testing 53

Testing Hardware Testing Tools Strategy 53

Testsigma

JANUARY 30, 2021

About two decades ago, testing was only limited to the desktop. With the rapidly increasing use of smartphones and ease of access to the internet across the globe, testing has spread across vast platforms. The native and mobile web browser testing is being performed more and more compared to desktop testing.

Mobile 52

Mobile Testing Website Internet 52

Brendan Gregg

MARCH 16, 2024

2015-2020: Overhead As part of production rollout I did many performance overhead tests, which I've described publicly before: The overhead of adding frame pointers to everything (libc and Java) was usually less than 1%, with one exception of 10%. The actual overhead depends on your workload. Others have reported around 1% and around 2%.

Java 145

Java Cache Google Hardware 145

The Netflix TechBlog

NOVEMBER 9, 2022

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl.

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 172

Cloud Traffic Best Practices Strategy 172

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed. The value of observability doesn’t stop at IT use cases.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Morning Paper

SEPTEMBER 27, 2020

The wikipedia page on floating point numbers describes a number of related accuracy problems including the difficulty of testing for equality. In day-to-day usage, beyond judicious use of ‘within’ for equality testing, I suspect most of us ignore the potential difficulties of floating point arithmetic even if we shouldn’t.

Benchmarking 101

Benchmarking Hardware Programming Code 101

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge Steps Provisioning The first step is to provision the four nodes with both PostgreSQL and Citus. The “wal_level” is set at logical.

Database 105

Database Benchmarking Latency C++ 105