Apica

JUNE 22, 2022

Software testing is a huge domain, but it can be broadly categorized into two areas: manual testing and automated testing. Both manual and automated testing offer benefits and disadvantages. But with automated testing, test cases are executed with the assistance of tools, scripts, and software.

Software 52

Software Software Testing Best Practices 52

Smashing Magazine

MARCH 2, 2021

The State Of Mobile And Why Mobile Web Testing Matters. The State Of Mobile And Why Mobile Web Testing Matters. And to ensure the quality of a product, we always need to test — on a number of devices, and in a number of conditions. What’s a representative device to test on in 2021? Kelvin Omereshone. State Of Mobile 2021.

Mobile 134

Mobile Testing Website Benchmarking 134

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

Testsigma

JULY 31, 2021

The Shift Left testing approach is not a new term. This testing approach expedites testing and helps detect bugs in the early stages of development. But, First, What’s Shift Left Testing? Shift Left is a testing approach where testing begins right from the software development phase.

Testing 52

Testing Testing Tools Analytics Java 52

Testsigma

OCTOBER 15, 2021

In general, most websites or web apps run into errors because of a solitary reason: solid cross-browser testing isn’t performed. When you perform cross-browser testing, you validate visual elements and ensure all functional and non-functional aspects of the website are consistent across different browsers.

Testing 52

Testing Testing Tools Analytics Website 52

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 209

Cache Azure Infrastructure Monitoring 209

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Counters on each position are incremented. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Testsigma

DECEMBER 20, 2019

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Testing continued to evolve, and it took advantage of technology innovations. Traditional test automation: What is it?

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

MAY 28, 2020

After a new build gets deployed and automated tests executed, SLIs are evaluated against their SLOs and, depending on that result, a build is considered good (promoted) or bad (rolled back). “ The app description and supporting files such as load testing scripts are on the Keptn Example GitHub. This is what this blog is all about.

Engineering 195

Engineering Performance Metrics Best Practices 195

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. What more can we learn from this test, to inform the next one?”

Innovation 243

Innovation Metrics Engineering Testing 243

Testsigma

MAY 26, 2021

According to CIO Dive , data-driven organizations have at least a 58 percent of chances to meet their revenue goals in comparison to non-data-driven organizations. We’ve all heard of data-driven testing and its benefits. But, some data-driven techniques can help us understand if we’ve carried out sufficient testing.

Testing 59

Testing Testing Tools Metrics Code 59

Speed Curve

OCTOBER 25, 2023

Third parties add tons of value by increasing conversions (via targeting beacons) and helping you understand your users in unprecedented ways (via analytics tags). Drill down into test details From any synthetic time series chart, you can click on any data point and click 'View Test'. – your page renders.

Benchmarking 62

Benchmarking Metrics Website Monitoring 62

Testsigma

JUNE 15, 2021

We’ve come quite far in terms of automation testing too. As per QA Lead’s survey , globally 87% of companies have moved to agile or agile-like methodologies; the same survey shows that 78% of companies are automating their functional and regression tests. Now, here’s a million-dollar question: Can automation testing still evolve?

Testing 52

Testing DevOps Mobile Testing Tools 52

Percona

MARCH 17, 2023

Percona’s co-Founder Peter Zaitsev wrote a detailed post about migration from Prometheus to VictoriaMetrics , One of the most significant differences in terms of performance of PMM2 comes with the usage for VM, which can also be derived from performance comparison on node_exporter metrics between Prometheus and VictoriaMetrics.

Monitoring 96

Monitoring Scalability Cache Database 96

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Smashing Magazine

OCTOBER 24, 2023

Analytics is a good example. Writing a hand-spun analytics tracking dashboard isn’t what my clients really want to pay me for, so I’ll drop in the ol’ Google Analytics script and maybe never think of it again. It’s “single-threaded,” which is how we get the one-way street comparison. Credit: Brandon Nelson on Unsplash.

Google 91

Google Analytics Traffic Metrics 91

MachMetrics

OCTOBER 31, 2020

We use it as the engine for our automated testing services at MachMetrics.com. Visual Comparison. WebPageTest allows you to compare your site directly to a competitors with their Visual Comparison tool! Keep in mind that this test is run using a “3G Fast” connection, so it will likely look pretty slow.

Social Media 52

Social Media Website Speed Google 52

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). It is always being tested and updated, providing for optimized performance and minimal failures. Analytics MariaDB ColumnStore is the MariaDB solution to analytics and using a column-based store.

Open Source 52

Open Source Servers Storage Scalability 52

Percona

MARCH 30, 2023

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. Comparison of open source databases This section provides one-on-one comparisons of popular open source database software. The intent is not to pick winners, but to identify similarities and differences.

Open Source 73

Open Source Database Storage Scalability 73

Highly Scalable

JUNE 5, 2012

At GridDynamics, we recently worked on a custom database for realtime web analytics where fast intersection of very large lists of IDs was a must for good performance. In this article I describe several useful techniques that are based on SSE instructions and provide results of performance testing for Lucene, Java, and C implementations.

C++ 102

C++ Java Performance Testing Efficiency 102

Rigor

MAY 15, 2018

seconds, resulting in an increased YoY conversion rate of 96%: Rigor comparison report of DJS’ performance improvements from November to December 2017 using the customer selected performance metrics. Our team reworked their tests to monitor the flows identified as most critical in Google Analytics. million).

Performance 40

Performance Ecommerce Analytics Metrics 40

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. Essentially, this can only be used for whole object comparisons, which has a very limited use case.

Storage 321

Storage Database Efficiency Processing 321

Speed Curve

DECEMBER 11, 2019

This helps us do things like: correlate various performance metrics with user behavior, understand the user journey and popular pages so you can better model your synthetic testing, and. This allows you to do things like increase the sample rate for an A/B test group for comparison with a control group when the test group is extremely small.

Retail 59

Retail Traffic Media Metrics 59

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

NOVEMBER 30, 2016

Developers can build, test, and deploy chatbots directly from the AWS Management Console. Amazon Rekognition's face comparison and face search features can provide businesses with face-based authentication, verification of identity, and the ability to detect the presence of a specific person in a collection of images.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

The Morning Paper

OCTOBER 22, 2019

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. Using EDA to test or demonstrate a new methodology or tool. There’s a handy comparison of the three here. EDA in practice: motivations. So what goes on during EDA?

Programming 40

Programming Software Engineering Database Analytics 40

Smashing Magazine

NOVEMBER 22, 2021

This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. In particular, lab tests are critical for implementing performance budgets in order to prevent performance degradations. This requires the ability to test a very large number of configurations. Large preview ).

Website 126

Website Performance Google Media 126

Speed Curve

JULY 2, 2013

It's often called synthetic testing as tests are run from servers in a data centre and don't accurately represent what speeds an actual user might get. Google Analytics recently updated their Site Speed report, allowing you to measure up to 10,000 page loads a day with a simple change to the sample rate in your tracking code.

Benchmarking 40

Benchmarking Performance Website Analytics 40

ScaleOut Software

MAY 15, 2014

Testing Scale-Up Performance. Well, performance comparisons aren’t so easy since the AppFabric license agreement states: “You may not disclose the results of any benchmark tests of the software to any third party without Microsoft’s prior written approval.” That’s actually quite fast. (We

Cache 40

Cache Servers Network Design 40

Alex Russell

MAY 9, 2022

Improving latency and reducing variance allows teams to test other product hypotheses with less noise. Even junior PM s internalise the notion that product quality is at risk if tests are not built, automated, and tracked. Reduced network and device capacity correlate with other access challenges. Protecting the Commons #.

Performance 86

Performance Latency Metrics Engineering 86

KeyCDN

FEBRUARY 14, 2019

It also features a dual view interface that lets you see a before-and-after comparison. If your website suffers from general sluggishness, you should perform some analytics testing to determine if something else is causing the problem. Convertio Convertio is another conversion tool that supports hundreds of formats.

Speed 50

Speed Website Latency Cache 50

O'Reilly

MARCH 23, 2023

It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. Search and research Microsoft is currently beta testing Bing/Sydney, which is based on GPT-4. But it is an amazing analytic engine.” The real tests will come when these models are connected to critical systems.

Google 103

Google Open Source Programming Code 103

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Now you have something measurable to test against.

Performance 145

Performance Cache Network Metrics 145

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . HammerDB difference from Sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

O'Reilly

MAY 19, 2020

These services are also designed to function as gateway drugs to cloud services: e.g., Microsoft integrates its on- and off-premises Excel client experience with its PowerBI cloud analytics service, as well as with its ecosystem of Azure-based advanced analytics and machine learning (ML) services. 4 By the same margins—i.e.,

Cloud 141

Cloud Serverless AWS Architecture 141

Percona

JANUARY 17, 2019

In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. Test data and versions. For my test, I need to choose: Aurora instance type and comparison. Aurora instance type and comparison. AWS Aurora (based on MySQL 5.6) running on an EC2 instance of the same class.

Cache 46

Cache C++ AWS Airlines 46