Sat.Oct 26, 2019 - Fri.Nov 01, 2019

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Why Compatibility Testing is at the Core of Digital Transformation

Kovair

In today’s digital world the importance of compatibility testing is vital to ensure an app or software performs well in all environments and also meets.

Testing 75
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Switching from LoadRunner to a New Breed of Application and Performance Testing

Apica

With the continued growth of applications being used in and out of an organization, getting a firm grasp on the Read More. The post Switching from LoadRunner to a New Breed of Application and Performance Testing appeared first on Apica.

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3 GUI test automation mistakes that will kill your project

TechBeacon Testing

Have you ever had some idea catch fire, then spread at your workplace until the whole atmosphere changed? Maybe it was some new initiative or an improvement to a nonworking process that sparked change in your organization forever.

Testing 80
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SRE vs. DevOps:? SRE Is to DevOps What Scrum Is to Agile

DZone

DevOps and Site Reliability Engineering (SRE) both seem to rule the world of software development, and at the same time, both appear to overlap or confuse people to some extent. Today, we will try to analyze both terms and see if we can see some differentiating factors between the two. DevOps Engineer. The term "DevOps Engineer" strives to dim this divide between Dev and Ops conjointly and suggests that the best approach is to hire engineers who can be excellent coders as well as handl

DevOps 333
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What’s the Best PostgreSQL High Availability Framework? PAF vs. repmgr vs. Patroni Infographic

Scalegrid

Wondering which high availability framework to use for your PostgreSQL deployments ? We compared the top 3 frameworks, PostgreSQL Automatic Failover (PAF) vs. Replication Manager (repmgr) vs. Patroni , in our Managing High Availability in PostgreSQL series. In these blogs, we dove deep into how the frameworks work, their setup requirements, pros and cons, and how they performed in standby server tests, primary server tests and network isolation tests (split brain scenario) to help you determine

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Automation is a must-have for monitoring complex environments

Dynatrace

Dynatrace news. As you know, applications are becoming exponentially more complex and dynamic thanks to cloud, containers and microservices. This has some serious implications for those responsible for ensuring application performance and availability: Humans can no longer comprehend the entire application from end to end, so you need AI-powered answers.

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How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

High Scalability

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. While many AWS users default to their managed database solution, Amazon RDS, there are alternatives available that can improve your MySQL performance on AWS t

AWS 133

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Node.JS Use Case: When & How Node.JS Should be Used

Simform

If Node.js has ever been on your mind –– or you’ve recently started learning it –– you might be asking yourself: where can I use Node.js? If the stats are to be believed, among three in four software engineers incorporate node either in the full stack or in the backend. With the thumping majority of apps using the popular JS run-time environment, it’s a great opportunity to understand all existing Node.js use case and implement it in your organization.

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Google Analytics and Dynatrace – Why you need both

Dynatrace

Dynatrace news. In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Whilst these tools have overlapping capabilities, I believe they are best used in parallel. Google Analytics. Almost all marketers will be familiar with Google Analytics.

Google 158
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Chrome DevTools - 20+ Tips and Tricks

KeyCDN

Google Chrome is currently one of the most popular web browsers used by developers today. According to StatCounter , as of September 2019, Google Chrome holds 63.72% browser market share across the globe. The Chrome DevTools can greatly improve your workflow by helping you develop, test, and debug your websites right within your browser. Many of you probably use Chrome DevTools on a regular basis, but check out these additional tips and tricks to enhance your productivity.

Google 85
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High-Performance Persistence With MicroStream (Part Two)

DZone

Keep pushing for the best performance possible! For some time, there has been a new competitor in the field of persistence and serialization. We are talking about Project MicroStream. What is it exactly? MicroStream claims to be a high-performance and, most importantly, developer-friendly solution for the challenges of serialization and persistence.

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Analyzing "death by a thousand cuts" workloads

SQL Performance

There are multiple methods to look at poorly performing queries in SQL Server, notably Query Store, Extended Events, and dynamic management views (DMVs). Each option has pros and cons. Extended Events provides data about the individual execution of queries, while Query Store and the DMVs aggregate performance data. In order to use Query Store and Extended Events, you have to configure them in advance – either enabling Query Store for your database(s), or setting up an XE session and starting it.

C++ 74
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Faster reaction time to service outages with Davis AI

Dynatrace

Dynatrace news. Imagine that your critical services have been running for weeks without incident when suddenly your Tomcat cluster is stuck and your service completely fails. This situation represents an Ops team’s worst nightmare. In such a situation, the Ops team must react quickly to find the root cause of the service outage and figure out how best to remediate the problem.

Traffic 123
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

The Morning Paper

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Rudin et al., arXiv 2019. With thanks to Glyn Normington for pointing out this paper to me. It’s pretty clear from the title alone what Cynthia Rudin would like us to do! The paper is a mix of technical and philosophical arguments and comes with two main takeaways for me: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why t

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Immutable Infrastructure

DZone

Make your infrastructure.immutable? You may also like: Gaining a Systemic View of Immutable Infrastructure Tooling. Over the last few years, a lot has been changed. We changed our development methodology from Agile to DevOps, we moved from Continuous Integration era to Continuous Delivery/Deployment world, we give more importance to measurement using Insights and KPI’s and a lot of credit for this goes to the following parameters: People With the Right Mindset — This helped teams to collaborate,

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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track

O'Reilly

One of the most exciting topics we’ve been following is the development of quantum computing. We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. I will steer clear of a lengthy explanation of quantum computing, which I’m not really competent to give. Quantum supremacy itself is a simple concept: it means performing a computation that could not be performed on a classical computer.

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Make smarter business decisions with newly enhanced user session queries

Dynatrace

Dynatrace news. Only when you have an accurate picture of how your end users experience your applications can you take necessary action to boost the success of your business. For example, as a business owner, you might want to view your conversion goals in context with your application’s error rates. As a product owner, you might be interested to know how your latest release performs in a geographical region where your company has just started doing business.

Website 104
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Switch from LoadRunner to a New Performance Testing Software

Apica

With the continued growth of applications being used in and out of an organization, getting a firm grasp on the performance of these devices and its impact on your environment is important. With this shift in applications everywhere enterprises need to do their due diligence in testing complex modern applications at scale, often and at […]. The post Switch from LoadRunner to a New Performance Testing Software appeared first on Apica.

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Which Software Testing Methodology Is Right for Your Project?

DZone

Hmm.which one is best? For those who are planning to develop software, it’s important to choose a fitting software testing strategy. There are five primary methodologies software developers use to create and test their projects: Waterfall , Rapid , Prototype , Agile, and Spiral.

Software 100
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Defusing propaganda feedback loops on the social web

O'Reilly

Feedback isn’t just the grit-your-teeth, high-pitched squeal you get when you put a microphone too close to a speaker, though that’s the form many of us are most familiar with. Music is what you hear at a concert when feedback is under control. The squeal is out-of-control feedback. To an electrical engineer, however, feedback systems are filters and amplifiers.

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Full visibility into your serverless stack with AI-powered FaaS monitoring

Dynatrace

Dynatrace news. Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. With a serverless approach, you can build and run applications and services without thinking about servers. There are many benefits to this approach : reduced operational cost s , reduced complexity, reduced engineering lead time, g reener h osting and c omputing , and many more.

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Google Lighthouse and Rigor: Comparing Two Essential Platforms

Rigor

As companies become more aware of the importance of web performance, internal teams begin to research tools they can use to use to track their metrics and improve the user experience of their websites and applications. One free tool has become prominent in the space – Google Lighthouse – and. The post Google Lighthouse and Rigor: Comparing Two Essential Platforms appeared first on Production.

Google 51
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Functional Test Myopia

DZone

Avoid becoming nearsighted when it comes to functional testing. Myopia means nearsightedness. If you write functional tests, you likely suffer from functional test myopia. You focus on your expected outcome and your test coverage, but you miss the big picture.

Testing 100
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Heap Snapshots–Tracing All Heap Allocations

Randon ASCII

I’ve recently started using heap snapshots on Windows to track heap allocations. I was able to use heap snapshots to record call stacks for all outstanding allocations in Chrome’s browser process over a full two weeks, letting me account for pretty much every byte of memory consumed. Since then I have used heap snapshots to find wasteful memory usage in the Windows heap, a memory leak in a security tool injected into Chrome, and many details of Chrome’s memory usage that I was not previously awa

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SpringOne Platform: Four great days of sharing new ways of innovating with Pivotal Platform

Dynatrace

Dynatrace news. It was an exciting week for a lot of us at the most recent SpringOne Platform by Pivotal in Austin, TX. Here’s a recap sharing a few highlights and partnership news. VMware and Tanzu buzz . At this year’s event, there was a lot of focus on the previously announced VMware acquisition and VMware’s Tanzu , a new portfolio of products and services that will enhance the current capabilities of VMware’s Pivotal Container Service.

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Google Lighthouse vs Rigor

Rigor

Reading time 11 min As companies become more aware of the importance of web performance, internal teams begin to research tools they can use to use to track their metrics and improve the user experience of their websites and applications. One free tool has become prominent in the space – Google Lighthouse – and one question often bubbles up: “I use Google Lighthouse for one-off snapshots of my site’s performance, so why do I need a performance monitoring solution?

Google 51
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Less Is More: Why Cost-Based Optimizer?

DZone

Less is more. Less is more. —. Ludwig Mies van der Rohe. This is no truer statement on the goals of a query optimizer. Do less: Less memory, less CPU, less disk, less IO, fewer instructions, fewer partitions, less overflow. Less everything for the query plan it creates. This is the guiding light for SQL and NoSQL optimizer. You may also like: Cost-Based Optimzer for Couchbase N1QL (SQL for JSON).

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A Look at JAMstack’s Speed, By the Numbers

CSS - Tricks

People say JAMstack sites are fast — let’s find out why by looking at real performance metrics! We’ll cover common metrics, like Time to First Byte ( TTFB ) among others, then compare data across a wide section of sites to see how different ways to slice those sites up compare. First, I’d like to present a small analysis to provide some background.

Speed 47
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Learning certifiably optimal rule lists for categorical data

The Morning Paper

Learning certifiably optimal rule lists for categorical data Angelino et al., JMLR 2018. Today we’re taking a closer look at CORELS, the C ertifiably O ptimal R ul E L ist S algorithm that we encountered in Rudin’s arguments for interpretable models earlier this week. We’ve been able to create rule lists (decision trees) for a long time, e.g. using CART, C4.5, or ID3 so why do we need CORELS?

C++ 45
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9 Top Automated Testing Practices to Follow

Testsigma

We need more automated testing as software gets more sophisticated. Recently, top QA consultancy companies QASymphony and TechWell surveyed mid-size and large-size enterprises for insights into the QA Automation trends of 2019. They found that most of these organizations(76%) were automating less than half of their test cases in 2018. However, almost half of these enterprises expect to automate 50% of the test cases by this year.

Testing 40
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What Is Test Design Actually?

DZone

Learn how to design your tests. In this blog, we overview what is and how to perform test design (and, which is at least as important, how not to perform it). Considering the ‘official’ definition, ‘ test design is the activity of deriving and specifying test cases from test conditions’, where a test condition is ‘an aspect of the test basis that is relevant in order to achieve specific test objectives.

Design 100
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Thoughts on SQL Server 2019 Editions

SQL Performance

As I embark on my first PASS Summit in a few years, it is hard to contain my excitement about the newest version of SQL Server. I helped Bob Ward ( @bobwardms ) with technical editing for his most recent book, " SQL Server 2019 Revealed ," and have been actively engaged with the product teams and my MVP peers throughout the CTP and RC cycles. I even attended the very exclusive SQL Server 2019 Airlift event in Redmond in the first week of October – and while it was too late to provide feedb

Servers 40
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Optimized risk scores

The Morning Paper

Optimized risk scores Ustun & Rudin, KDD’17. On Monday we looked at the case for interpretable models , and in Wednesday’s edition of The Morning Paper we looked at CORELS which produces provably optimal rule lists for categorical assessments. Today we’ll be looking at RiskSLIM , which produces risk score models together with a proof of optimality.

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The Law of Unintended Consequences

The Agile Manager

Over and above all, it remains to be seen how far the super-Bank will make use of its immense facilities for credit expansion. This is the aspect of the scheme which deserves the most attention, as it opens up a vista of alarming possibilities. The scheme itself is sound, and it is far from its authors’ intention to make of the Institution a means for international credit inflation.

Energy 40
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Establishing a Performance Testing Strategy

DZone

It's important to have a strategy when testing performance. You may also like: Common Mistakes In Performance Testing. Establishing a performance testing strategy is the first and most important step in performance testing. It helps you define: The Performance Testing Scope. The Load Policy. The Service Level Agreements (SLAs) and Service Level Objectives (SLOs).

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Google Lighthouse and Rigor: Comparing Two Essential Platforms

Rigor

As companies become more aware of the importance of web performance, internal teams begin to research tools they can use to use to track their metrics and improve the user experience of their websites and applications. One free tool has become prominent in the space – Google Lighthouse – and. The post Google Lighthouse and Rigor: Comparing Two Essential Platforms appeared first on Production.

Google 40
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Switch from LoadRunner to a New Performance Testing Software

Apica

With the continued growth of applications being used in and out of an organization, getting a firm grasp on the performance of these devices and its impact on your environment is important. 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.