Testsigma

AUGUST 12, 2021

The Importance of Testing Web Applications. To ensure our web app performs as intended across various devices and browsers — we have to test our web app. Plus, if we’re adding features like live chat, forms, e-commerce integrations, push notifications, and the like, our app should go through some heavy testing.

Testing 102

Testing Testing Tools Mobile Cloud 102

Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Java Virtual Machine (JVM)-based languages are predominant. Most organizations, 72%, use Java to some degree.

Open Source 343

Open Source Java Operating System Programming 343

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

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Check out Dynatrace’s Load testing tool integration.

Performance 242

Performance Education Innovation Software Architecture 242

Testsigma

AUGUST 24, 2020

Continuous Testing is the process of testing at all stages of software development – one after the another- without any human intervention. Continuous Testing is key to faster delivery of Agile products to the market. But the path to achieving Continuous Testing has its own challenges, most common of which are mentioned below.

Testing 69

Testing Open Source Scalability Latency 69

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. The goal is to take early, proactive steps to ensure quality and reliability are built in from the beginning.

Engineering 254

Engineering DevOps Government Latency 254

Alex Podelko

OCTOBER 28, 2016

I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. Quite often the whole area of load testing is reduced to pre-production testing using protocol-level recording/playback. – Cloud.

Performance Testing 100

Performance Testing Technology Technology Testing 100

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. We have tested PMM version 2.33.0 Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 98

Monitoring Scalability Cache Database 98

Testsigma

JUNE 26, 2021

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% That brings us to the crux of our conversation — codeless test automation. In the past, it was always important for testers to learn to code and keep updating their skills for performing automation tests.

Testing 57

Testing Testing Tools Automotive Scalability 57

Testsigma

JUNE 26, 2021

If we talk about testing itself — automation has taken us several leaps ahead; QA teams have solidified test efficiency and coverage even further. Gone are the days when automation testers had to learn coding to write test scripts. Enter codeless automation testing, which is one of the latest software trends to look out for.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. Message queue software options to consider.

Monitoring 200

Monitoring Serverless Programming Speed 200

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. Message queue software options to consider.

Monitoring 199

Monitoring Serverless Programming Speed 199

DZone

MAY 30, 2019

With the last blog , we set up scalable XCUITest and run them on a Continuous Integration server. The test executed in the CI server used headless simulators, however, we also need to set our tests to be executed on real devices. This is the last post in our XCUITest101 series. Bitbar Device Cloud.

Cloud 100

Cloud Mobile Virtualization Scalability 100

Dynatrace

MARCH 17, 2021

Application security tests and what they do. Once an application passed all the functional tests, and before it moved into production, it was put through a gauntlet of security tests. IAST only works with languages that have a virtual runtime environment, such as Java, C#, Python, and Node.js. We need a better approach.

Open Source 166

Open Source Cloud Games Java 166

Testsigma

MAY 5, 2021

To ensure the features run uniformly across various browsers and OS versions that our users have, we should perform multi-browser testing. Let us understand the importance of multi-browser testing before we proceed. You can also check out our post on the most common issues one can face while performing browser compatibility tests.

Testing Tools 74

Testing Tools Testing Internet Internet 74

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. The goal is to take early, proactive steps to ensure quality and reliability are built in from the beginning.

Engineering 176

Engineering DevOps Government Latency 176

High Scalability

MAY 18, 2021

Join your peers for this virtual experience on April 27 from 9am - 3:30pm PDT. Learn how engineering teams are using products like StackHawk and Snyk to add security bug testing to their CI pipelines. Learn to balance architecture trade-offs and design scalable enterprise-level software. Register now! Who's Hiring?

Education 100

Education DevOps Scalability Infrastructure 100

Percona

DECEMBER 8, 2023

In this article, we will demonstrate how to achieve asynchronous replication automatic source failover when our replica is a Percona Server for MySQL (PS) and the source is a Percona XtraDB Cluster (PXC) cluster, using virtual IP (VIP) managed by Keepalived. Once node3 becomes available again, the virtual IP should come back to node3.

Servers 86

Servers Virtualization Open Source Scalability 86

High Scalability

APRIL 7, 2021

Join your peers for this virtual experience on April 27 from 9am - 3:30pm PDT. Learn how engineering teams are using products like StackHawk and Snyk to add security bug testing to their CI pipelines. Learn to balance architecture trade-offs and design scalable enterprise-level software. Register now! Who's Hiring?

Education 100

Education DevOps Scalability Infrastructure 100

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer).

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

NOVEMBER 29, 2022

Using Davis, Cloud Automation can trigger the right fix for an issue , validate the fix by running a synthetic test, update the service ticket, and notify stakeholders using communication channels—all in an automated way. Transparency and scalability. Lower MTTR. More controlled, consistent, and sustainable problem resolution.

Infrastructure 172

Infrastructure Code Cloud DevOps 172

Dynatrace

MAY 24, 2023

A prominent solution is virtual machines, however, this is inadequate for customers who deploy their systems with Kubernetes. Some organizations need to weigh cost considerations due to technology and business scalability limitations whereas others need to adhere to company policies. CAGR in the forecasted period ending 2030.

Scalability 208

Scalability Virtualization Monitoring Open Source 208

HammerDB

OCTOBER 17, 2018

The official TPC-C test has a fixed number of users per warehouse and uses keying and thinking time so that the workload generated by each user is not intensive. By default each virtual user has the concept of a home warehouses where approximately 75% of its workload will take place.

C++ 40

C++ Testing Virtualization Cache 40

HammerDB

APRIL 19, 2023

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. Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. 4.22 %usr 38.40 0.42 %sys 9.52

Performance 54

Performance Benchmarking Cache Storage 54

Percona

OCTOBER 3, 2023

By default, the majority of widely used Linux distributions employ a virtual memory page size of 4KB. Remember that each server and workload is unique, so it is recommended to thoroughly test the impact of enabling or disabling Transparent Huge Pages on your specific database environment to determine the most suitable configuration.

Database 87

Database Servers Open Source C++ 87

Apica

NOVEMBER 15, 2019

With this shift in applications everywhere enterprises need to do their due diligence in performance testing complex modern applications at scale, often and at a lower cost to stay competitive. With this growth and added complexity, how are your legacy performance testing solutions keeping up?

Performance Testing 40

Performance Testing Testing Performance Games 40

The Netflix TechBlog

SEPTEMBER 4, 2020

Our first step towards addressing this challenge is to actively engineer the removal of manual and subjective testing approaches across different functional touch points of the Netflix application on a streaming device. Why test High Definition Multimedia Interface (HDMI) ?

Media 163

Media Testing Entertainment Virtualization 163

Apica

OCTOBER 29, 2019

With this shift in applications everywhere enterprises need to do their due diligence in testing complex modern applications at scale, often and at a lower cost to stay competitive. Legacy performance testing platforms have their place and are still required to ensure past investments can be monitored.

Performance Testing 40

Performance Testing Testing Performance Software 40

Testsigma

JANUARY 12, 2021

Enters Cross Browser Testing, a comprehensive way of finding and fixing compatibility bottlenecks. Along with the browser, the “ Viewport ” is also a key aspect of cross browser compatibility testing as it plays a critical role in how the application will display. What Is Covered Under Cross Browser Compatibility Testing?

Website 65

Website Benchmarking Operating System Testing Tools 65

Smashing Magazine

AUGUST 28, 2020

It is one of Python’s popular framework for building web applications and is most preferred for its scalability in creating a boilerplate with laid down configurations and files. First, create a virtual environment, named djangodev. Now to get into your virtual environment, you need to get it activated; source ~/.virtualenvs/djangodev/bin/activate.

Virtualization 143

Virtualization Database Code Processing 143

HammerDB

DECEMBER 5, 2020

This meant we could dispense with the TP-monitor, reduce the number of clients, reduce the storage and the schema size but still run similar transactions to the TPC-C specification so that it was running a scalable and repeatable workload in a CPU and memory intensive manner. XML Connect Pooling (test distributed clusters).

C++ 40

C++ Benchmarking Virtualization Open Source 40

Edge Perspectives

JANUARY 21, 2019

I recently wrote a blog post suggesting that the ultimate test of transformation is whether the caterpillar became a butterfly – is it so different that it’s unrecognizable? Diving deeper into learning So, what does scalable learning imply? Before I dive into that, let me clarify what I mean by scalable learning.

Innovation 104

Innovation Scalability Efficiency Mobile 104

High Scalability

JULY 2, 2018

Small enough to fit in the pages of a thin virtual book. Predicting what emerges at each layer is impossible, so it's futile to generate a 10,247-line algorithm by testing fidelity to a remembered baseline. Shape and control those interactions and you change the world. You're creating a game character.

Systems 151

Systems Games Virtualization Google 151

Testsigma

JANUARY 4, 2021

Read more on Cross-Browser compatibility testing of responsive applications. Test on real devices. Although we can test an application on virtual machines and environments. For more effective testing real devices are the perfect platform. You can run test cases in parallel across the real devices in less time.

Testing Tools 59

Testing Tools Mobile Internet Internet 59

Dynatrace

APRIL 2, 2024

But now, you’re orchestrating containers, not virtual machines. Easy scalability. How do I understand what my code is doing in development, testing, and integration? Running development environments locally is much harder because many dev and test workloads are moved to the cloud. Through resource allocation!

Virtualization 228

Virtualization Cloud Infrastructure Code 228

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

KeyCDN

JANUARY 23, 2020

It’s also important for developers not to confuse real user data with real user testing. RUM gathers metrics from passive users while real user testing monitors testers who are actively looking for problems and vulnerabilities. Synthetic and real user data can be used together in digital experience monitoring (DEM).

Strategy 72

Strategy Metrics Monitoring Servers 72