DZone

MARCH 21, 2022

Businesses rely on automation testing to keep up with faster and higher-quality processes that agile development demands. There are many benefits of automation testing, such as reducing costs, avoiding delays, and helping to create a great customer experience. Automation testing has numerous benefits in comparison to manual testing.

Testing 246

Testing Efficiency Software Software 246

Dynatrace

MAY 17, 2023

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 253

Innovation Software Software Artificial Intelligence 253

DZone

OCTOBER 4, 2019

Multitasking is the MOST efficient. Testing in the enterprise is still a topic that is not as extensively used as it should be. Writing and especially maintaining tests takes time and effort, however, cutting short on software tests can’t be the solution.

Efficiency 100

Efficiency Testing Technology Technology 100

DZone

MAY 16, 2024

It creates documentation by analyzing interfaces and comments in the source code and supports a variety of document output formats, including Markdown , HTML5 , OpenAPI 3.0 , and more. This article will introduce how to use smart-doc and JMeter for effective performance testing.

Java 130

Java Performance Testing Efficiency Testing 130

Dynatrace

JUNE 10, 2024

Vulnerabilities can enter the software development lifecycle (SDLC) at any stage and can have significant impact if left undetected. As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. According to recent global research, CISOs’ security concerns are multiplying.

Analytics 224

Analytics Network Hardware Open Source 224

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

NOVEMBER 3, 2023

Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams.

Engineering 205

Engineering DevOps Software Engineering Scalability 205

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. SREs invest significant effort in enhancing software reliability, scalability, and dependability.

Engineering 219

Engineering DevOps Innovation Strategy 219

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

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality.

DevOps 261

DevOps Speed Artificial Intelligence Innovation 261

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. The Dynatrace platform allows security teams to automate continuous discovery, proactively detect anomalies, and optimize across the software lifecycle.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. The VAPO platform is used to develop, test, and deploy containerized application and middleware workloads that support 400,000 VA employees and 20 million veterans.

Monitoring 177

Monitoring Artificial Intelligence Performance Healthcare 177

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production.

Traffic 256

Traffic Best Practices Strategy Engineering 256

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. It involves carefully examining the test results from the previous testing phase.

DevOps 197

DevOps Metrics Engineering Analytics 197

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

MAY 4, 2023

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 206

DevOps Speed Innovation Open Source 206

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 182

DevOps Innovation Speed Monitoring 182

Dynatrace

SEPTEMBER 28, 2021

Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. Let’s dive into how these metrics and DevOps KPIs can help your team perform better and deliver better code. You have set up a DevOps practice. Deployment frequency.

DevOps 193

DevOps Metrics Traffic Efficiency 193

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. Examples of quarterly OKRs for software companies. Improve ways of working by focusing on making processes more efficient. Experiment with test environment self-service. Key Results.

Software 96

Software Software Healthcare Mobile 96

Testsigma

JULY 31, 2021

It’s a known fact that automation testing is extremely crucial in maintaining software quality. To secure their quality and to help you deliver delightful experiences to your users and ones that’ll keep your users engaged with your products — testing is essential. you can go for traditional software.

Mobile 52

Mobile Software Software Testing 52

Alex Podelko

DECEMBER 19, 2019

How is DevOps changing the Modern Software Development Landscape? , Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. – Henrik will discuss today’s load testing challenges – and Neotys is at the forefront in this area. .

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 250

Engineering DevOps Government Latency 250

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 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

MARCH 17, 2021

Application security is a software engineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking. Application security tests and what they do.

Open Source 162

Open Source Cloud Games Java 162

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Testing automation can be painstaking.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Testlodge

APRIL 19, 2023

Integration testing involves taking units or modules and testing how they work once integrated with a system’s other units. When and How to Perform Integration Testing There are four levels of software testing: Unit testing , Integration testing, System Testing, and Acceptance testing.

Testing 68

Testing Programming Performance Testing Systems 68

Testsigma

FEBRUARY 7, 2022

To meet this demand, tester’s rely on test automation tools to rapidly roll out high-quality software. Open-source software development has grown increasingly popular over the last two decades. They are leveraging open-source testing tools that are reliable, secure, and free to use. Check out Github. Join Discord.

Open Source 81

Open Source Testing Innovation Speed 81

Dynatrace

APRIL 21, 2023

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said.

Innovation 177

Innovation Speed Artificial Intelligence Government 177

Testsigma

AUGUST 18, 2020

A major challenge that software testing teams across the globe face today are the dependence on physical machines. Automation, in various ways, can help testing teams work better in the remote working environment. Having things automated reduces the burden of regression testing and makes it more efficient.

Testing 104

Testing Internet Internet Cloud 104

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. In turn, manual approaches to identifying code issues and troubleshooting are not scalable.

DevOps 226

DevOps Infrastructure Software Software 226

Testsigma

SEPTEMBER 21, 2019

Why does Software Testing industry Need AI? Like most industries, the Software Testing Industry too has evolved a lot since it started. Refer Test Automation To Achieve Fail Fast, Fail Often. No more flaky tests! Also, there are tasks that if learnt once can be easily done by AI software.

Software 51

Software Software Testing Artificial Intelligence 51

Dynatrace

MARCH 1, 2023

As a result, organizations are adopting cloud observability technologies to gain visibility into their IT environments and the associated application performance and software vulnerability issues. Log4j is a ubiquitous bit of software code that appears in myriad consumer-facing products and services.

Strategy 205

Strategy Cloud Software Software 205

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? If integration tests pass, automated acceptance tests can be run followed by performance tests. Introduction.

Testing 55

Testing DevOps Performance Testing Infrastructure 55

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. A big part to the success within Dynatrace is that we use Dynatrace® across the software lifecycle on our own software projects. Then we ran the load-tests again.

Cloud 223

Cloud Development Open Source Monitoring 223

The Netflix TechBlog

APRIL 17, 2019

What does this example have to do with software development and video encoding? Intel and Netflix announced their collaboration on a software video encoder implementation called SVT-AV1 on April 8, 2019. Intel and Netflix announced their collaboration on a software video encoder implementation called SVT-AV1 on April 8, 2019.

Open Source 166

Open Source Scalability Speed Efficiency 166

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 170

Engineering DevOps Government Latency 170